Loading [Contrib]/a11y/accessibility-menu.js
Search Advanced

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 3: 4269-4285. doi: 10.3934/mbe.2024188
Previous Article Next Article
Research article Special Issues

Road surface crack detection based on improved YOLOv5s

  • Shandong Jiaotong University, Jinan 250357, China

  • Academic Editor: Namhyuk Ahn
  • Received: 23 November 2023 Revised: 17 January 2024 Accepted: 29 January 2024 Published: 26 February 2024

  • In response to the issues of low efficiency and high cost in traditional manual methods for road surface crack detection, an improved YOLOv5s (you only look once version 5 small) algorithm was proposed. Based on this improvement, a road surface crack object recognition model was established using YOLOv5s. First, based on the Res2Net (a new multi-scale backbone architecture) network, an improved multi-scale Res2-C3 (a new multi-scale backbone architecture of C3) module was suggested to enhance feature extraction performance. Second, the feature fusion network and backbone of YOLOv5 were merged with the GAM (global attention mechanism) attention mechanism, reducing information dispersion and enhancing the interaction of global dimensions features. We incorporated dynamic snake convolution into the feature fusion network section to enhance the model's ability to handle irregular shapes and deformation problems. Experimental results showed that the final revision of the model dramatically increased both the detection speed and the accuracy of road surface identification. The mean average precision (mAP) reached 93.9%, with an average precision improvement of 12.6% compared to the YOLOv5s model. The frames per second (FPS) value was 49.97. The difficulties of low accuracy and slow speed in road surface fracture identification were effectively addressed by the modified model, demonstrating that the enhanced model achieved relatively high accuracy while maintaining inference speed.

    Citation: Jiaming Ding, Peigang Jiao, Kangning Li, Weibo Du. Road surface crack detection based on improved YOLOv5s[J]. Mathematical Biosciences and Engineering, 2024, 21(3): 4269-4285. doi: 10.3934/mbe.2024188

    Related Papers:

    [1] Ignacio Alvarez-Castro, Jarad Niemi . Fully Bayesian analysis of allele-specific RNA-seq data. Mathematical Biosciences and Engineering, 2019, 16(6): 7751-7770. doi: 10.3934/mbe.2019389
    [2] Xue Wang, Fang Yang, Hongyuan Liu, Qingxuan Shi . Error correction of semantic mathematical expressions based on bayesian algorithm. Mathematical Biosciences and Engineering, 2022, 19(6): 5428-5445. doi: 10.3934/mbe.2022255
    [3] Katrine O. Bangsgaard, Morten Andersen, James G. Heaf, Johnny T. Ottesen . Bayesian parameter estimation for phosphate dynamics during hemodialysis. Mathematical Biosciences and Engineering, 2023, 20(3): 4455-4492. doi: 10.3934/mbe.2023207
    [4] Dao-Peng Chen, Fangyuan Zhang, Shili Lin . AIJ: joint test for simultaneous detection of imprinting and non-imprinting allelic expression imbalance. Mathematical Biosciences and Engineering, 2020, 17(1): 366-386. doi: 10.3934/mbe.2020020
    [5] Saskya Mary Soemartojo, Titin Siswantining, Yoel Fernando, Devvi Sarwinda, Herley Shaori Al-Ash, Sarah Syarofina, Noval Saputra . Iterative bicluster-based Bayesian principal component analysis and least squares for missing-value imputation in microarray and RNA-sequencing data. Mathematical Biosciences and Engineering, 2022, 19(9): 8741-8759. doi: 10.3934/mbe.2022405
    [6] Samuel Bronstein, Stefan Engblom, Robin Marin . Bayesian inference in epidemics: linear noise analysis. Mathematical Biosciences and Engineering, 2023, 20(2): 4128-4152. doi: 10.3934/mbe.2023193
    [7] M. Nagy, M. H. Abu-Moussa, Adel Fahad Alrasheedi, A. Rabie . Expected Bayesian estimation for exponential model based on simple step stress with Type-I hybrid censored data. Mathematical Biosciences and Engineering, 2022, 19(10): 9773-9791. doi: 10.3934/mbe.2022455
    [8] Elena Izquierdo-Kulich, Margarita Amigó de Quesada, Carlos Manuel Pérez-Amor, José Manuel Nieto-Villar . Morphogenesis and aggressiveness of cervix carcinoma. Mathematical Biosciences and Engineering, 2011, 8(4): 987-997. doi: 10.3934/mbe.2011.8.987
    [9] Olaiya Mathilde Adéoti, Aliou Diop, Romain Glèlè Kakaï . Bayesian inference and impact of parameter prior specification in flexible multilevel nonlinear models in the context of infectious disease modeling. Mathematical Biosciences and Engineering, 2025, 22(4): 897-919. doi: 10.3934/mbe.2025032
    [10] Jun Xu, Bei Wang, Zhengtao Liu, Mingchun Lai, Mangli Zhang, Shusen Zheng . miR-223-3p regulating the occurrence and development of liver cancer cells by targeting FAT1 gene. Mathematical Biosciences and Engineering, 2020, 17(2): 1534-1547. doi: 10.3934/mbe.2020079

  • In response to the issues of low efficiency and high cost in traditional manual methods for road surface crack detection, an improved YOLOv5s (you only look once version 5 small) algorithm was proposed. Based on this improvement, a road surface crack object recognition model was established using YOLOv5s. First, based on the Res2Net (a new multi-scale backbone architecture) network, an improved multi-scale Res2-C3 (a new multi-scale backbone architecture of C3) module was suggested to enhance feature extraction performance. Second, the feature fusion network and backbone of YOLOv5 were merged with the GAM (global attention mechanism) attention mechanism, reducing information dispersion and enhancing the interaction of global dimensions features. We incorporated dynamic snake convolution into the feature fusion network section to enhance the model's ability to handle irregular shapes and deformation problems. Experimental results showed that the final revision of the model dramatically increased both the detection speed and the accuracy of road surface identification. The mean average precision (mAP) reached 93.9%, with an average precision improvement of 12.6% compared to the YOLOv5s model. The frames per second (FPS) value was 49.97. The difficulties of low accuracy and slow speed in road surface fracture identification were effectively addressed by the modified model, demonstrating that the enhanced model achieved relatively high accuracy while maintaining inference speed.


    1. Introduction

    Postnatal depression (PND) is one of the most common causes of maternal distress representing a considerable public health problem affecting the mother, her baby, and her family [1]. Within the postnatal period, there is an increase in the physical and emotional demands on the woman and the debility associated with PND may impinge on her capacity as a mother for example, to care for and bond with her new-born. In some instances the woman may be less engaged, and may even react negatively towards the child [2]. Without diagnosis and treatment, maternal PND may affect her ability to participate in normal activities and interfere with her family and other social relationships. These problems can compromise maternal-infant relationships which may be associated with poor child cognitive and behavioral and social development [3,4,5,6]. Partners of women with PND have also been shown to be at risk of poor mental health [7,8,9].

    Although these experiences are commonly shared by women across cultures, experiences of PND are not fully shared or similarly expressed by women across the world, with some experiences being more common in certain cultures or countries. For instance, whilst social circumstance and biophysical stressors were described as factors contributing to PND in many countries, issues of culture and traditions were more common in Asian women [10,11]. Considering ways of reducing their distress, Asian women were more likely to describe religious beliefs and social support, whereas European women talked about recognizing their own needs and personal adjustment such as keeping busy and getting out the house every day [10,11,12,13,14,15,16,17]. These findings suggest that culture can affect the way the women interpret their experience of PND, the causes of PND and influences on their coping strategies. Culture can play an important role in women's experience of pregnancy and after childbirth as it is comprised of several shared ideas, values, perspectives, beliefs, and “perceived standards” for emotional and behavioral responses [18].

    The prevalence of PND is highly variable in non-western countries and its manifestations may vary across cultures [19,20]. For instance, previous reviews have shown that the prevalence of PND ranged widely from 0 to 60% globally, and from 3.5 to 63.3% in Asian countries [20,21]. These findings suggest that there is a link between the conceptualization of PND and culture yet there is a lack of recent evidence on PND across different countries. Taking an example of Malaysia as an example of a non-western country the aims of this review are twofold:

    i To provide recent epidemiological evidence of the prevalence of maternal PND across different countries and cultures.

    ii To identify specific epidemiological studies that have been carried out exclusively in Malaysia on the prevalence of maternal PND.

    2. Methods

    The review was undertaken in two stages: The initial review and a more recent updated review. The initial review was conducted based on the search terms used by Halbreich and Karkun [21]. The updated review was conducted with an improved search strategy. Both reviews were conducted by the first author (MA). Articles were selected based on the inclusion and exclusion criteria (Table 1). Discussions with the second and third author were conducted to resolve any discrepancies in decisions about excluding or including articles.

    Table 1. Initial and updated review of prevalence of postnatal depression.
    Initial reviews (2006-2014) Updated reviews (2010-2016)
    Databases CINAHL, MEDLINE, PubMed, PsycArticles, PsycINFO, Web of Science, and The Cochrane Library. CINAHL, MEDLINE, PubMed, PsycINFO and ASSIA.
    Keywords Prevalence, postnatal depression, and postpartum depression. Incidence, prevalence, postnatal depression, postpartum depression, depression, maternal mental health, depressive disorders, puerperal disorders, emotional distress, low mood disorders, after childbirth, psychological distress.
    Inclusion criteria Peer reviewed articles published from 2006-2014, studies that report prevalence of PND within 1-12 months following childbirth, full text available, and English/Malay language publications. Peer reviewed articles published from 2010-2016, studies that report prevalence of PND within 1-12 months following childbirth, and English/Malay language publications.
    Exclusion criteria Review papers, and PND and/or postnatal women were not the focus of the study. Review papers, PND and/or postnatal women were not the focus of the study, studies within psychiatric populations, and studies that were conducted among high risk groups of women.
    Total studies included in the final analysis 39 104
     | Show Table
    DownLoad: CSV

    2.1. Search strategies

    Electronic databases used in both two reviews were: CINAHL, MEDLINE, PubMed, and PsycINFO. In the updated review, PsycArticles were not used as articles in this database are also available in PsycINFO, whereas Web of Science and The Cochrane Library were not used as articles in both databases are also available in ASSIA.

    The search strategy for both reviews can be seen in Figure 1. Searches were conducted using the following keywords: Incidence, prevalence, postnatal depression, postpartum depression, depression, maternal mental health, depressive disorders, puerperal disorders, emotional distress, low mood disorders, after childbirth, psychological distress. Keywords were also combined using AND and OR to identify as many articles as possible on the prevalence of maternal PND.

    Figure 1. Flow diagram of the search strategy for prevalence of postnatal depression (initial review).
    DownLoad: Full-Size ImgPowerPoint

    2.2. Inclusion and exclusion criteria

    In both reviews, PND is defined as “any depressive symptomatology occurring within the first postnatal year”. However, to avoid inclusion of postnatal blues in the reported prevalence, the time frame used in these reviews was 1-12 months following childbirth. For studies that assessed the prevalence at more than one-time point only prevalence within 1-12 following childbirth was included in this review. For studies that included more than one time point within 1-12 months all reported prevalence was included in the review. Studies undertaken within the year 2006-2016 were included because they were more likely to reflect the current state of knowledge on PND. The largest review involving worldwide studies by Halbreich and Karkun [21] only included articles up to 2005. High risk populations (some population groups are at considerably higher risk of developing PND than others such as women with unsuccessful attempted abortions or women who gave birth prior to an earthquake) and psychiatric population (women with known psychiatric diagnosis such as schizophrenia or anxiety disorders) were excluded because their risks developing PND may reach 40-60% [22]. This present review was conducted using scoping review methodology reported in Joanna Briggs Institute Reviewers' Manual 2015 Methodology for JBI Scoping Reviews [23].

    3. Results

    Findings presented in this section are based on the summary of both the initial and updated reviews. The initial review identified 7896 articles, screened 80 abstracts, and identified 68 full text papers for inclusion. The updated review identified 4828 articles, screened 411 abstracts, and identified 156 full text papers for inclusion. Figures 1 and 2 show the flow diagrams of search strategies used in the initial and updated reviews, respectively.

    Figure 2. Flow diagram of search strategy for prevalence of postnatal depression (updated review).
    DownLoad: Full-Size ImgPowerPoint

    The most common reasons for excluding articles in both reviews were that they; did not relate to PND/did not publish within 2006-2014 (initial review) or 2010-2016 (updated review), were not conducted within 1-12 months following childbirth, were not focused on maternal PND, did not report prevalence of maternal PND, were review papers, were conducted among high risk groups of women, were not in English/Malay language, were duplicate studies, were within a psychiatric population, and were conducted among fathers with PND.

    Whilst the initial review finally included 39 articles, 102 articles were included in the updated review. A total of 17 studies were duplicates (found in both reviews) and ultimately 124 articles were included in the final analysis. These studies were conducted in more than 50 countries. Described in relation to continents, 58 studies were conducted in Asia, 22 in North America and seven in South America, 23 in Europe, nine in Australia and New Zealand, and five in Africa. Data extracted from each included study were screening instruments, sample size, time of assessment, study design, study setting, and prevalence of maternal PND (Table 2).

    There were wide variations in the screening instruments and diagnostic tools used, although the Edinburgh Postnatal Depression Scale (EPDS) was the most common instrument applied to identify maternal PND. All studies used self-report measure (e.g. EPDS, Patient Health Questionnaire (PHQ), Center for Epidemiological Studies Depression (CES-D) except 11 studies that used diagnostic interviews (e.g. Mini-International Neuropsychiatric Interview (MINI)) or International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10)). A total of 87 studies used translated versions (75 studies used the available translated and validated version, 11 studies used the version that was translated and validated by the authors themselves, and one used non-validated version), 34 studies used the original English version, and three studies did not clearly mention whether the measure was translated. Most studies included were cohort or cross sectional, however, study sample sizes and the timing of assessments varied (39-410 367 participants and 30 days to one year after giving birth) across the 124 studies. The total numbers of participants by continent are: Asia (28,718), North America (309,296), South America (5,934), Europe (426,219), Australia and New Zealand (13,737), and Africa (1,511). The majority of studies were conducted in community settings/outpatient maternity clinics, although there were also studies which analyzed data from large population-based surveys.

    Overall, the prevalence of PND ranged from 4.0% to 63.9%, with Japan and America recording the lowest and highest rates of PND, respectively [9,41]. Within continents, a wide variation in reported prevalence was also found. The prevalence of PND varied from 4.0-48.3% in Asia [117,137], 5.0-63.9% in America [38,41], 4.4-22.8% in Europe [78,61], 7.2-50.3% in Africa [54,57], 6.0-32.8% in Australia [86,87], and 7.6-30.9% in New Zealand [90]. Wide variations in the rates of PND have also been reported within Asian countries. For instance, the reported prevalence of PND ranged from 15.8-46.9% in India [101,103] and 9.4-27.4% in China [95,96].

    In Malaysia, the prevalence of PND ranged from 6.8-27.3% [122,123]. A total of five Malaysian studies were published between 2006 and 2016 and were included in this review. The prevalence reported in these studies differed as there were differences in study instruments, sample size, time of assessment, study design, and study setting. The EPDS with a cut-off point of 12 was used in all studies except one [122]. The times of assessments used to assess PND in these studies were 4-6 months following childbirth. The sample sizes ranged from 293-979 with a total of 2458 postnatal women involved in the five studies. Three of the studies used a cross sectional design; one was a prospective cohort and one was a population survey. Three of these Malaysian studies were conducted in maternal and child health (MCH) clinics, whereas two of them were conducted in postnatal clinics at a teaching hospital. Whilst three of these studies focussed mainly on Malay women, two included women from other cultural backgrounds, such as Chinese, Indian, and other ethnic minorities.

    Table 2. Studies on prevalence of postnatal depression.
    Region/Country Authors Instruments Sample size (postnatal women) Time of assessment (after delivery) Study design Study setting Prevalence (%)
    America
    US Levine et al. [24] ICD-9-CM (English) 161,454 8 weeks, 1 year Retrospective cohort Information from the Registry 16.2
    Stone et al. [25] PHQ-2 (English) 5,395 2, 6 months Surveys (secondary analysis) Massachusetts Pregnancy Risk Assessment Monitoring System (MA-PRAMS) 2007-2010 data 14.9
    Lynch and Prasad [26] PRAMS questionnaire (English) 40,337 2-4 months Cross-sectional (secondary analysis) population-based national data from PRAMS 13.3
    Sidebottom et al. [27] PHQ-9 ≥ 10 (English) 594 ≥ 4 weeks Prospective Community health centres 6
    Abbasi et al. [28] EPDS ≥ 12 (English) 2972 1 month Prospective cohort Hospitals, obstetricians' offices and clinics, and targeted mailings 5.1
    Dolbier et al. [29] EPDS ≥ 10 (English) 299 1, 6 months Cohort Community child health network 17.5, 17.4
    Pooler et al. [30] PHQ-2 (English) 75,234 2-6 months Surveys (secondary analysis) Pregnancy Risk Assessment Monitoring System (PRAMS) data 13.8
    Schachman and Lindsey [31] PDSS ≥ 14 (English) 71 8 weeks Comparative descriptive Military Immunization Clinic 50.7
    Sweeney et al. [32] EPDS ≥ 12 (English) 46 2 months Prospective cohort Obstetrics and gynaecology offices and midwifery offices 10.9
    Wisner et al. [33] EPDS ≥ 10 (English) 10,000 4-6 weeks Sequential case series obstetric hospital 14.0
    Dagher et al. [34] EPDS (cut off point not mentioned) (English) 526 8 weeks Prospective cohort Home interview 6.5
    Gress-Smith et al. [35] CES-D ≥ 24 (English) 132 5, 9 months Longitudinal Hospital 33, 38
    Kornfeld et al. [36] US Preventive Services Task Force (English) 39 2 months Retrospective (secondary analysis) Academic-based paediatric primary care clinic (new mothers survey data) 15
    38 4 months 29
    31 6 months 26
    Beck et al. [37] PDSS-Short Form ≥ 14 PHQ-2 (English) 1,566 1-12 months National survey Hospital 63
    Gjerdingen et al. [38] PHQ-9 ≥ 10 (English) 464 2 months Prospective cohort Family medicine residency clinics and private paediatric clinics 7.1
    459 4 months 7.0
    455 6 months 5.0
    472 9 months 10.2
    Wang et al. [39] CES-D ≥ 16 (English) 1,364 families 1 Longitudinal Hospitals 25.6
    6 months 16.3
    Murphy et al. [40] EPDS ≥ 10 (Translated, validated) 97 4-6 weeks Cohort Postnatal clinic 12
    Le et al. [41] PDSS ≥ 60 (Translated, validated by the researcher) 220 6-8 weeks Longitudinal Clinics 63.9
    Sorenson et al. [42] BDI-II (English) 71 6-7 months An exploratory investigation Daily newspaper listing parent(s) name and city of residence 15.7
    Mcgrath et al. [43] EPDS ≥ 13 (English) 139 2, 6 months Longitudinal design Care provider's offices 11, 15
    Canada Verreault et al. [44] EPDS ≥ 10 (English) 226 3 months Cohort Health centre and ultrasound department 16.4
    Dennis et al. [45] EPDS ≥ 13 (English) 6,421 12 weeks Cross-sectional survey Data from the Maternity Experiences Survey of the Canadian Perinatal Surveillance System 8
    Greenland Motzfeldt et al. [46] EPDS ≥ 13 (Translated, validated by the researcher) 174 3 months Cross-sectional Primary health care 8.6
    Argentina Mathisen et al. [47] EPDS ≥ 10 (Translated, validated) 86 4-12 weeks Cross sectional Private health care centre 37.2
    Brazil Rebelo et al. [48] EPDS ≥ 11 (Translated, validated) 177 30-45 days Prospective cohort Antenatal care unit 16.9
    Matijasevich et al. [49] EPDS ≥ 11 (Translated, validated) 3,332 3, 12 months Cohort Maternity hospitals 34.8, 40.9
    Melo et al. [50] EPDS ≥ 12 (English) 555 4-6 weeks Cross-sectional Prenatal clinic of two public reference centres 10.8
    Lobato et al. [51] EPDS ≥ 12 (Translated, validated) 811 46-75 days Cross-sectional Primary health care units 21.8
    76-105 days 37.5
    106-135 days 24.5
    Pinheiro et al. [52] EPDS ≥ 10 (Translated, validated) 397 9-12 weeks, 12 months Cohort Brazilian National System of Public Health 22.7
    366 24.6
    Mexico Lara et al. [53] Structured Clinical Interview (SCID-I; PHQ ≥ 10 (Translated, validated by the researchers) 210 6 weeks, 6 months Longitudinal Hospital and community centre 11.4, 9.0
    Africa
    Ghana and Ivory Guo et al. [54] PHQ-9 ≥ 10 (Translated, validated) 654 3 and 12 months Cohort Hospital 11.8, 16.1 and 8.9, 7.2
    Morocco Alami et al. [55] EPDS ≥ 13 M.I.N.I. (Translated, validated) 100 From the first trimester of pregnancy to 9 months after delivery Prospective cohort study Primary healthcare setting 17
    Nigeria Abiodun [56] EPDS ≥ 9 (Translated, validated by the researcher) 360 6 weeks postnatal Cross sectional Primary health care 18.6
    South Africa Stellenberg and Abrahams [57] EPDS (cut off point not mentioned) (English) 159 6, 10 or 14 weeks Cross-sectional Primary health care clinics 50.3
    Sudan Khalifa et al. [58] EPDS ≥ 12 (Translated, validated by the researcher) 238 3 months Cross-sectional Antenatal clinic public tertiary hospitals 9.2
    Europe
    England Leahy-Warren et al. [59] EPDS ≥ 12 (English) 410,367 6, 12 weeks Longitudinal Community sample 13.2, 9.8
    France Gaillard et al. [60] EPDS ≥ 12 (Translated, validated) 264 6, 8 weeks Prospective Public maternity unit 16.7
    Greece Lambrinoudaki et al. [61] EPDS ≥ 11 (Translated, validated) 57 6 weeks Cross-sectional University hospital 22.81
    Koutra et al. [62] EPDS ≥ 13 (Translated, validated) 438 8 weeks Prospective cohort Maternity clinics 13
    Leonardou et al. [63] GHQ, BDI and WHOQOL scores (Translated, validated) 81 2 months Prospective cohort study Maternity hospitals 12.4
    Germany Goecke et al. [64] EPDS ≥ 9 mild EPDS ≥ 12 medium to severe (Translated, validated) 159 6 months Prospective Obstetrics and gynaecology clinic 10.1, 1.9
    Zaers et al. [65] EPDS ≥ 13 (Translated, validated) 47 6 weeks, 6 months Prospective longitudinal study Hospital 22, 21.3
    Hungary Kozinszky et al. [66] Leverton questionnaire (LQ) score of ≥ 12 (Translated, validated) Year 1996: 2,333
    Year 2006: 1,619    		 6-10 weeks Longitudinal Pregnancy-care centres 15.0
    17.4
    Italy Elisei et al. [67] EPDS ≥ 13 (Not mentioned) 85 3 months Cohort Obstetrics and gynaecology clinic 16.7
    Giardinelli et al. [68] EPDS ≥ 10 (Translated, validated) 590 3 months Prospective cohort Obstetrics and gynaecology clinic 13.2
    Banti et al. [69] EPDS ≥ 13 SCI DSM-IV (Translated, validated) 1,066 1, 3, 6, 9, 12 months Longitudinal Hospital 9.6
    Netherlands Meijer et al. [70] EPDS ≥ 10 (Translated, validated) 1,276 4-7 months Prospective cohort Obstetric care 8.5
    Meltzer-Brody et al. [71] EPDS ≥ 12 (Not mentioned) 682 4-12, 12 weeks Large cohort study Subjects were from the Netherlands Study of Depression and Anxiety (NESDA) 13, 10
    Norway Glavin et al. [72] EPDS ≥ 10 (Translated, validated) 2,227 6 weeks after delivery Cross-sectional study Well baby clinics 10.1
    Portugal Figueiredo and Conde [73] EPDS ≥ 10 (Translated, validated) 260 couples (260 women) 10-14 weeks Cohort Obstetrics and gynaecology clinic 11.1
    Maia et al. [74] BDI-II ≥ 11, PDSS ≥ 63 386 3-months Longitudinal Local health medical centres 13.0, 16.8
    Marques et al. [75] Diagnostic Interview for Genetic Studies (DIGS), BDI-II (Translated, validated) 382 3 months Cross-sectional Mother's local medical centre or homes 11.5, 16.6
    Poland Dudek et al. [76] EPDS ≥ 12 (Translated, non-validated) 344 6, 12 weeks Cross-sectional Obstetrics and gynaecology clinic 16
    Serbia Dmitrovic et al. [77] EPDS ≥ 12 Hamilton Depression Rating Scale (English) 195 6-8 weeks Cross-sectional Obstetrics and gynaecology clinic 11
    Spain Escriba-Aguir and Artazcoz [78] EPDS ≥ 11 (Translated, validated) 420 3, 12 months Longitudinal cohort Primary care centres 9.3, 4.4
    Sweden Agnafors et al. [79] EPDS ≥ 10 (Translated, validated) 1,707 3 months Cohort Child welfare centres 12.0
    Kerstis et al. [80] EPDS ≥ 10 (Translated, validated) 305 couples 3 months Cohort Child health centres 16.5
    11 study sites (Belgium, Germany, Italy, Poland and Spain) Grote et al. [81] EPDS ≥ 13 (English) 929 2, 3, 6 months postnatal Cohort study 11 study sites in five countries (specific study setting was not mentioned) 6-8 (Germany and Spain)
    13-16 (Belgium, Poland and Italy)
    Australia and New Zealand
    Australia Mcmahon et al. [82] M.I.N.I (English) 434 4 months Prospective cohort Assisted reproductive technology (art) clinics 8.3
    Woolhouse et al. [83] EPDS ≥ 13 (English) 1,507 3, 6, 12 months Cohort Public hospital 16.1
    Wynter et al. [84] EPDS ≥ 9 (English) 172 couples 6 months Cross sectional Local government areas 12.2
    Mcmahon et al. [85] M.I.N.I (English) 541 4 months Prospective cohort Assisted reproductive technology clinics 7.9
    Austin et al. [86] EPDS score ≥ 13 CIDI (English) 235 2, 4, 6-8 months Prospective Obstetric hospital 24.4, 32.8
    Brooks et al. [87] EPDS ≥ 13 (English) 4,838 4, 8, 12, 16, 20, 24 weeks Large cohort and prospective longitudinal design Obstetric sites 6.0-9.0
    Bilszta et al. [88] EPDS ≥ 13 (English) 1,958 urban 908 rural 6th week postnatal Cohort study Perinatal health services Urban: 6.6
    Rural: 8.5
    Milgrom et al. [89] EPDS ≥ 13 (English) 12,361 6th week postnatal A large prospective cohort study Maternity hospital antenatal clinics 7.5
    New Zealand Abbott and Williams [90] EPDS ≥ 13 (Translated, validated by the researcher) 1,376 6 weeks Cross-sectional Hospital and home visits Samoans: 7.6
    Tongans: 30.9
    Asia
    Armenia Petrosyan et al. [91] EPDS ≥ 12 (Translated, validated by the researcher) 437 1-3 months Case-control Primary health care 14.4
    Bahrain Al-Dallal et al. [92] EPDS ≥ 12 (Translated, validated by the researcher) 237 8 weeks Cross-sectional Primary health care centres 37.1
    Bangladesh Edhborg et al. [93] EPDS ≥ 10 (Translated, validated) 672 2-3 months Cohort Community setting 11
    Gausia et al. [94] EPDS ≥ 10 (Translated, validated by the researcher) 346 6-8 weeks A community-based cohort study Matlab subdistrict of rural Bangladesh 22
    China Deng et al. [95] EPDS ≥ 10 (Translated, validated) 1,823 4 weeks Cross-sectional Tangxia community 27.4
    Wu et al. [96] EPDS ≥ 11 (Translated, validated) 223 3 months Longitudinal Obstetrics and gynaecology outpatient ward 9.4
    Mao et al. [97] EPDS ≥ 13 (Translated, validated) 376 6-8 weeks Cross-sectional Postpartum clinics 14.9
    Hong Kong Ngai et al. [98] GHQ ≥ 5 (Translated, validated) 200 6 months Longitudinal Regional hospital 11.5
    Lau et al. [99] EPDS ≥ 10 EPDS ≥ 15 (Translated, validated) 610 6 weeks Longitudinal Obstetric outpatient clinics 31.6
    8.7
    India Bodhare et al. [100] PHQ-9 (Translated, validated) 274 6-8 weeks Cross-sectional Obstetrics and gynaecology clinic of a teaching hospital 39.8
    Johnson et al. [101] EPDS ≥ 13 (Translated, validated by the researcher) 123 6-8 weeks Cross-sectional Maternity hospital 46.9
    Shivalli and Gururaj [102] EPDS ≥ 13 (Translated, validated) 102 4-10 weeks Cross-sectional Obstetrics and gynaecology clinic 31.4
    Gupta et al. [103] PRIME MD Today (PRIMary care evaluation of mental disorders) (Translated, validated) 202 6 weeks Cross sectional Postnatal clinic 15.8
    Iran Abdollahi et al. [104] EPDS ≥ 13 (Translated, validated) 1,910 3 months Longitudinal cohort Primary health centres 19
    Hosseni et al. [105] EPDS ≥ 13 (Translated, validated) 400 6 to 12 weeks Cross-sectional Health centres 40.4
    Abbasi et al. [106] EPDS ≥ 13 (Translated, validated) 416 3 months Prospective longitudinal Teaching university hospitals 34.1
    Sadat et al. [107] EPDS ≥ 13 (Translated, validated) 300 2 months and 4 months Prospective Health centres 22.3
    15.7
    Goshtasebi et al. [108] EPDS ≥ 13 (Translated, validated) 254 4-6 weeks Prospective study Hospital 5.5
    Taherifard et al. [109] EPDS ≥ 13 (Translated, validated) 179 6-8 weeks Cross-sectional Obstetrics and gynaecology clinics 34.8
    Rouhi et al. [110] EPDS ≥ 13 (Translated, validated) 436 8 weeks Cross-sectional Health care centres 36.3
    Kheirabadi et al. [111] EPDS ≥ 13(Translated, validated) 1,898 6 to 8 Prospective cohort Health centres 26.3
    Israel Alfayumi et al. [112] EPDS ≥ 10 (Translated, validated) 564 4 weeks-7 months Cross-sectional Maternal and child health clinics 31
    Glasser et al. [113] EPDS ≥ 10 (Translated, validated) 2,326 6 weeks Prospective cohort Maternal and child health clinics 16.3
    Japan Shimizu et al. [114] EPDS ≥ 9 (Translated, validated) 65 1, 4 months Prospective cohort Obstetrics clinics 16.9, 7.7
    Matsumoto et al. [115] EPDS ≥ 9 (Translated, validated) 675 ≥ 3 months Cohort University hospital and maternity clinic 14.8
    Miyake et al. [116] EPDS ≥ 9 (Translated, validated) 771 3-4 months Prospective cohort Municipality of the domicile of the conception 13.8
    Mori et al. [117] EPDS ≥ 9 (Translated, validated) 675 5-7, 8-12 weeks Cohort University hospital 4
    Jordan Mohammad et al. [118] EPDS ≥ 13 (Translated, validated by the researcher) 353 6-8 weeks
    6 months    		 Prospective cross-sectional Teaching hospital and health clinics 22.1, 21.2
    Korea Park et al. [119] EPDS ≥ 10 (Translated, validated) 153 4 weeks Longitudinal Maternity clinics 42.5
    Lebanon El-Hachem et al. [120] EPDS ≥ 12 (Translated, validated) 149 30-40 postpartum Cohort Hospital 12.8
    Malaysia Yusuff et al. [121] EPDS ≥ 12 (Translated, validated) 979 1, 3, 6 months Prospective cohort Maternal and child health clinics 14.3
    Zainal et al. [122] M.I.N.I (English) 411 6-8 weeks Cross-sectional Postnatal clinic, university hospital 6.8
    Kadir et al. [123] EPDS ≥ 12 (Translated, validated) 293 4-6 weeks Cross sectional study Postnatal clinic, hospital 27.3
    Azidah et al. [124] EPDS ≥ 12 (Translated, validated) 421 4-6 weeks Cross sectional study Maternal and child health clinics 20.7
    Wan Mohd Rushidi et al. [125] EPDS ≥ 12 BDI-II ≥ 10 CIDI HDRS ICD-I0 (Translated, validated) 354 4-12 weeks A two-stage population survey Health centres 16.38
    Mongolia Pollock et al. [126] WHO Self Reporting Questionnaire (Translated, validated) 1,044 5 to 9 weeks postnatal Cross-sectional Hospital/home visit 9.1
    Nepal Giri et al. [127] EPDS ≥ 10 (Translated, validated) 346 6, 10 weeks Cross-sectional Maternity and women's hospital 30
    Budhathoki et al. [128] EPDS ≥ 13 (Not mentioned) 72 6, 10 weeks Prospective cohort study Teaching hospital and district hospital 19.4, 22.2
    Ho-Yen et al. [129] EPDS ≥ 13 (Translated, validated) 426 5-10 weeks postnatal Cross-sectional structured interview study Hospital's postnatal clinic, rural health posts, wards 4.9
    Oman Al Hinai and Al Hinai [130] EPDS ≥ 13 (Translated, validated) 282 8 weeks Prospective cohort Primary healthcare facilities 10.6
    Pakistan Husain et al. [131] EPDS ≥ 12 (Translated, validated) 763 ≥ 3 months Cohort study Maternity and child care centre 38.3
    Muneer et al. [132] EPDS ≥ 12 (Translated, validated) 154 6 weeks postnatal Cross sectional study Outpatient sample 33.1
    Qatar Bener et al. [133] EPDS ≥ 12 (Translated, validated) 1,379 6 months Prospective cross-sectional study Primary healthcare centres 17.6
    Saudi Arabia Alasoom and Koura [134] EPDS ≥ 10 (Translated, validated) 450 2-6 months Cross-sectional Primary healthcare centres 17.8
    Taiwan Tsao et al. [135] EPDS ≥ 13 (Translated, validated) 162 6 weeks Longitudinal cohort Postnatal clinic at regional hospitals 24.1
    Lee et al. [136] BDI-II ≥ 14 (Translated, validated) 60 5-8 weeks Cross-sectional Infertility treatment centre 25
    Turkey Bolak Boratav et al. [137] EPDS ≥ 12 (Translated, validated) 87 3-6 months Longitudinal Obstetrics and gynaecology clinic 48.3
    Cankorur et al. [138] EPDS ≥ 13 (Translated, validated) 578 2, 6 months Cohort Mother and child centres 26.1
    Kirkan et al. [139] EPDS ≥ 13 (Translated, validated) 360 6 weeks Prospective City centre 13.3
    Turkcapar et al. [140] EPDS ≥ 14 (Translated, validated) 540 6-8 weeks Prospective Specialized tertiary obstetrics and gynaecology hospital 15.4
    Annagur et al. [141] EPDS ≥ 13 (Translated, validated) 197 6 weeks Prospective University hospital 14.2
    Poçan et al. [142] EPDS ≥ 13 (Translated, validated) 187 4-6 weeks Cross-sectional University hospital 28.9
    Kirpinar et al. [143] EPDS ≥ 13 (Translated, validated) 479 6 weeks Prospective Primary heath care centres 14
    Akyuz et al. [144] PDSS ≥ 65 (Translated, validated) 156 4-6 weeks Cohort Hospitals 19.9
    Dindar and Erdogan [145] EPDS ≥ 12 (Translated, validated) 679 mothers 1-12 months Descriptive design Public health centres 25.6
    UAE Hamdan and Tamim [146] EPDS ≥ 10, MINI (Translated, validated) 137 2 months Prospective Maternal and child health centre 5.9, 10.1
    Green et al. [147] EPDS ≥ 13 (Translated, validated) 86, 56 3, 6 months Longitudinal study Government maternity hospital 22, 12.5
    Vietnam Murray et al. [148] EPDS ≥ 13 (Translated, validated) 431 1-6 months Cross-sectional Commune health centre 18.1

    Italic: From initial review only.

    Bold: Duplicates (both in initial and updated review).
     | Show Table
    DownLoad: CSV

    4. Discussion and conclusion

    This review found that the prevalence of PND ranged from 4.0-63.9% with Japan and America recording the lowest and highest rates of PND, respectively [9,10]. Within continents, a wide variation in reported prevalence was also found. This finding is consistent with an earlier finding of a review of 143 studies across 40 countries that identified that the prevalence of PND ranged from 0-60% [21]. As with that review, this present review also indicated that the widely-cited prevalence of PND of 10-15% [149] does not represent the actual magnitude of PND problems worldwide. However, it should be noted that prevalence reported within this review was mainly based on self-report measures. Self-report measures have been found to give higher prevalence estimates than diagnostic tools [150]. This could explain the higher range of the prevalence reported in this study compared to the previous review.

    Prevalence of PND can also vary depending on when the assessment is performed. For instance, assessing depressive symptoms in the postnatal period may inadvertently capture the common physiological or emotional responses to pregnancy and caring for an infant. Therefore, selective use of specific tools to screen women at higher risk for postpartum depression is recommended [151].

    The willingness of a woman to admit to symptoms of PND may also influence the reported prevalence and this can vary across cultures as the label of PND may be unacceptable in some groups and may not be used at all [19]. Studies that have aimed to understand women's experiences and perceptions of PND have suggested that the majority of women were reluctant to disclose their depressive symptoms to healthcare providers [12,13,152]. There were many reasons why women did not reveal their inner turmoil but these were commonly linked with the stigmatization of a PND diagnosis, such as concern that it would make them “feel weak”, fear they would be judged as a “bad mother”, and fear of having their children referred to social services [152]. Stigma related to PND was found across a range of cultures and appeared to contribute to the women's feelings of being “viewed differently” from other mothers in their culture [153,154,155].

    Although the reasons for the wide range of prevalence shown in this present review may also be explained by inconsistency in the estimated sensitivity and specificity of the EPDS (used in the majority of the studies in this review), it could also be linked to cross-cultural differences and the way in which women understand and interpret items in the EPDS. The EPDS was designed specifically by Cox et al. [156] to identify symptoms of PND. The EPDS consists of 10 statements describing depressive symptoms with some reverse coded items with four possible responses, 0, 1, 2, and 3, with each score relating to PND symptoms severity or duration. The total score is calculated by adding together the scores for each of the ten items with an overall score ranging from 0 to 30. Cut off scores for screening are typically set at ≥ 10 or ≥ 13. The reliability and validity of the Malay version of the EPDS has been verified [157,158]. It was found to have good internal consistency with Cronbach's alpha 0.86, and split half reliability with Spearman split half coefficient 0.83 [158]. The score of 11.5 represents the optimum cut-off point for 72.7% sensitivity, 95% specificity, and a positive predictive value of 80% [157]. The cut off of 11/12 was recommended to identify a woman at risk of developing PND [121,158].

    Whilst it is understandable that the process of translation of the instruments and attempts to maintain the homogeneity of the interpretation of the questions had been considered, some cultures may define unique clusters of symptoms that differ from the western concept of PND [159]. Malaysia, a multi-ethnic country located in Southeast Asia comprises of three main races, including Malay (53.3%), Chinese (26.0%) and Indian (7.7%) [160]. Malaysia has a wide-range of cultural and ethnic backgrounds and this offers an ideal opportunity to understand the different role of cultures and postnatal practices in relation to PND. There are some small differences in postnatal practices among the three main cultures in Malaysia, such as in defining the period of the confinement. Within the Malaysian communities, the postnatal period is commonly referred to as postnatal confinement. In Malay society, the postnatal period is called masa dalam pantang [161] and both mother and baby are expected to remain house-bound for around 44 days. In Chinese communities, the postnatal period is the point from the baby's birth up to one month later, whereas the postpartum period in the Indian community refers to the period after the childbirth until between 30 and 40 days later [162]. Given that Malaysian's women have different cultural backgrounds compared to western cultures, the standard measurements that have been developed within western cultures like the EPDS, may not capture the localised expressions of depressive symptoms, and therefore lack conceptual equivalence. It may be possible that the women across cultures have different explanations of their PND experience which may go beyond the 10 items included in the EPDS.

    Although there are questionnaires available to assess postnatal mental illness, these were generated based on western women's experiences which may not fully represent the signs and symptoms experienced by Malaysian women. Using any of these tools to detect postnatal mental illness among Malaysian women may therefore not be valid.

    The prevalence of PND in Malaysia ranged from 6.8-27.3%, which has shown that the cases of PND were not as low as had initially been reported by two earlier reviews [20,21]. In their international review of prevalence of PND, Halbreich and Karkun [21] reported that there were very few reports of PND in Malaysia with a rate of only 3.9%. Similarly, Klainin and Athur [20] stated that the prevalence of PND in Malaysia was only 3.5%, the lowest prevalence reported in Asian countries. Their finding was based on the review of 64 studies from 17 Asian countries conducted between 1998 and 2008. Both reviews presented their findings based on the only one Malaysian study published in 1997 [163]. This study was the earliest published study on the prevalence of PND in Malaysia. Kit et al. [163] conducted their study among 154 postnatal women from three main Malaysian cultural backgrounds; Malay, Chinese and Indian and reported that the rate of PND in Malaysia was 3.9%. There was a recent review by Norhayati et al. [164] that reported that the prevalence of PND in Malaysia at 4-6 weeks was 20.7%, but they also based this on only one study. The prevalence of PND reported in this present review was based on the results of five current studies in Malaysia, and this may increase confidence in the findings.

    It seems clear that the rates of PND in Malaysia are not as low as reported by the international and Asian studies. Yet it is still unclear whether the wide range of reported prevalence of PND is due to variation in actual cases or to incorrect reports caused by use of instruments to diagnose PND that are inappropriate to the population and culture in Malaysia where, for example, there may be the stigma of a socially unacceptable reaction. Although the instruments used in the studies of the prevalence of PND (such as the EPDS) were translated into the Malay language items covered in these instruments may not fully match Malaysian understanding of PND. Therefore, there is a need for a screening scale that can measure the symptoms of PND as experienced by Malaysian women.

    Despite contributing to understanding of the scale of PND problems across 50 countries, this review has four limitations that should be addressed. First, it only included the English/Malay articles in the chosen databases, which may have limited the generalisability of the findings. Second, the methodological quality of the included papers was not assessed, therefore the time of assessment of PND and inclusion criteria (such as maternal age, presence of medical and obstetrical problems, and socioeconomic status) varied across the studies. However, an effort has been made to include only rates reported after four weeks postnatal, therefore minimising the possibility of the inclusion of postnatal blues instead of PND. Third, this study did not conduct a meta-analysis of the prevalence. Fourth, this study uses two different sets of search terms, which may have resulted in some missed studies during the much more limited original review.

    Overall, the reported rates of PND in Malaysia are much higher than that previously documented with a range of 6.8-27.3%. The reasons of this variability may not be fully explained using review methods. It is unclear whether variation is due to variation in actual cases or to the use of inappropriate instruments in assessing PND. This review recommends a meta-analysis study and a complementary qualitative study that could explain the nature of PND experience in Malaysia and address reasons for reported variation in prevalence.

    Conflict of interest

    All authors declare no conflict of interest in this paper.



    [1] C..P. Meng, J. P. Li, J. Guo, C. L. Li, Analysis of common problems in ecological impact investigation of highway environmental protection acceptance, Res. Cons. Envir. Prot., 4 (2023), 121–124. https://doi.org/10.16317/j.cnki.12-1377/x.2023.04.015 doi: 10.16317/j.cnki.12-1377/x.2023.04.015
    [2] W. Zhou, Y. He, J. Li, Dangerous behavior detection in gas stations based on deep learning, in 2023 IEEE 6th International Conference on Electronic Information and Communication Technology, (2023), 935–939. https://doi.org/10.1109/ICEICT57916.2023.10245093
    [3] N. Sholevar, A. Golroo, S. R. Esfahani, Machine learning techniques for pavement condition evaluation, Autom. Constr., 136 (2022), 104190. https://doi.org/10.1016/j.autcon.2022.104190 doi: 10.1016/j.autcon.2022.104190
    [4] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, A. J. Onumanyi, Image processing techniques for automated road defect detection: A survey, in International Conference on Electronics, (2014), 1–4. https://doi.org/10.1109/ICECCO.2014.6997556
    [5] S. Chatterjee, P. Saeedfar, S. Tofangchi, L. M. Kolbe, Intelligent road maintenance: a machine learning approach for surface defect detection, in European Conference on Information Systems, 2018.
    [6] J. Redmon, S. Divvala, R. Girshick, A. Farhadi, You only look once: Unified, real-time object detection, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (2016), 779–788.
    [7] S. Park, S. Bang, H. Kim, H. Kim, Patch-based crackdetection in black box images using convolutional neural net-works, J. Comput. Civil Eng., 33 (2019). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000831 doi: 10.1061/(ASCE)CP.1943-5487.0000831
    [8] X. B. Su, Research on pavement crack detection based on improved YOLOv4, Henan Sci. Technol., 41 (2022), 62–67. https://doi.org/10.19968/j.cnki.hnkj.1003-5168.2022.18.012 doi: 10.19968/j.cnki.hnkj.1003-5168.2022.18.012
    [9] M. M. Wang, Q. D. Huang, S. N. Liu, Pavement damage detection based on improved YOLOv5s, J. Lasers, 44 (2023), 66–71. https://doi.org/10.14016/j.cnki.jgzz.2023.05.066 doi: 10.14016/j.cnki.jgzz.2023.05.066
    [10] J. Terven, D. Cordova-Esparza, A comprehensive review of YOLO: From YOLOv1 to YOLOv8 and beyond, preprint, arXiv: 2304.00501.
    [11] J. Lu, M. Zhu, X. Ma, K. Wu, Steel strip surface defect detection Metho based on improved YOLOv5s, Biomimetics, 9 (2024), 28. https://doi.org/10.3390/biomimetics9010028 doi: 10.3390/biomimetics9010028
    [12] Y. Zhou, W. Zhu, Y. He, Y. Li, Yolov8-based spatial target part recognition, in 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence, (2023), 1684–1687. https://doi.org/10.1109/ICIBA56860.2023.10165260
    [13] H. Liu, F. Sun, J. Gu, L. Deng, Sf-yolov5: A lightweight small object detection algorithm based on improved feature fusion mode, Sensors, 22 (2022), 5817. https://doi.org/10.3390/s22155817 doi: 10.3390/s22155817
    [14] J. Zhou, Z. Xi, S. Wang, B. Yang, Y. Zhang, Y. Zhang, A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld, J. Intell. Manuf., 2023 (2023), 1–22. https://doi.org/10.1007/s10845-023-02160-x doi: 10.1007/s10845-023-02160-x
    [15] C. Y. Wang, H. Y. M. Liao, Y. H. Wu, P. Y. Chen, J. W. Hsieh, IH Yeh CSPNet: A new backbone that can enhance learning capability of CNN, in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, (2020), 390–391.
    [16] K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, preprint, arXiv: 1409.1556.
    [17] C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, et al., Going deeper with convolutions, in Proceedings of the IEEE conference on computer vision and pattern recognition, (2015), 1–9.
    [18] X. Jiang, H. Hu, Y. Qin, Y. Hu, R. Ding, A real-time rural domestic garbage detection algorithm with an improved YOLOv5s network model, Sci. Rep., 12 (2022), 16802. https://doi.org/10.1038/s41598-022-20983-1 doi: 10.1038/s41598-022-20983-1
    [19] S. H. Gao, M. M. Cheng, K. Zhao, X. Y. Zhang, M. H. Yang, P. Torr, Res2Net: A New Multi-Scale Backbone Architecture, IEEE Trans. Pattern Anal. Mach. Intell., 2 (2021), 43. https://doi.org/10.1109/TPAMI.2019.2938758 doi: 10.1109/TPAMI.2019.2938758
    [20] U. Batool, M. I. Shapiai, S. A. Mostafa, M. Z. Ibrahim, An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification, IEEE Access, 11 (2023), 108891–108905. https://doi.org/10.1109/ACCESS.2023.3321025 doi: 10.1109/ACCESS.2023.3321025
    [21] Z. Yu, H. Huang, W. Chen, Y. Su, Y. Liu, X. Wang, Yolo-facev2: A scale and occlusion aware face detector, preprint, arXiv: 2208.02019.
    [22] J. Cai, J. Hu, 3D RANs: 3D residual attention networks for action recognition, Vis. Comput., 36 (2020), 1261–1270. https://doi.org/10.1007/s00371-019-01733-3 doi: 10.1007/s00371-019-01733-3
    [23] J. Hu, L. Shen, G. Sun, Squeeze-and-Excitation networks, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, (2018), 7132–7141. https://doi.org/10.1109/CVPR.2018.00745
    [24] S. Woo, J. Park, J. Y. Lee, I. S. Kweon, Cbam: Convolutional block attention module, in Proceedings of the European conference on computer vision (ECCV), (2018), 3–19.
    [25] Y. Liu, Z. Shao, N. Hoffmann, Global attention mechanism: Retain information to enhance channel-spatial interactions, preprint, arXiv: 2112.05561.
    [26] Z. Guo, Y. Li, Y. Tian, H. Liu, S. Yuan, C. Hou, Global attention-based approach for substation devices classification and localization, in 2023 IEEE/IAS Industrial and Commercial Power System Asia, (2023), 990–995. https://doi.org/10.1109/ICPSAsia58343.2023.10294513
    [27] Y. Qi, Y. He, X. Qi, Y. Zhang, G. Yang, Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation, in Proceedings of the IEEE/CVF International Conference on Computer Vision, (2023), 6070–6079. https://doi.org/10.1109/ICCV51070.2023.00558
    [28] J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, et al., Deformable convolutional networks, in Proceedings of the IEEE international conference on computer vision, (2017), 764–773. https://doi.org/10.1109/ICCV.2017.89
    [29] Z. Wu, R. Xue, H. Li, Real-time video fire detection via modified YOLOv5 network model, Fire Technol., 58 (2022), 2377–2403. https://doi.org/10.1007/s10694-022-01260-z doi: 10.1007/s10694-022-01260-z
    [30] Y. Wang, G. Fu, A novel object recognition algorithm based on improved YOLOv5 model for patient care robots, Int. J. Hum. Robot., 19 (2022). https://doi.org/10.1142/S0219843622500104 doi: 10.1142/S0219843622500104
    [31] L. Shi, S. Zhao, W. Niu, A welding defect detection method based on multiscale feature enhancement and aggregation, Nond. Testing and Eval., (2023), 1–20. https://doi.org/10.1080/10589759.2023.2253494 doi: 10.1080/10589759.2023.2253494
    [32] E. R. Daniel, Wildfire smoke detection with computer vision, preprint, arXiv: 2301.05070.

  • This article has been cited by:

    1. Tadele Amare Zeleke, Wondale Getinet, Zemenu Tadesse Tessema, Kassahun Gebeyehu, Marta B. Rondon, Prevalence and associated factors of post-partum depression in Ethiopia. A systematic review and meta-analysis, 2021, 16, 1932-6203, e0247005, 10.1371/journal.pone.0247005
    2. Yukihiro Sato, Eiji Yoshioka, Yasuaki Saijo, Toshinobu Miyamoto, Kazuo Sengoku, Hiroshi Azuma, Yusuke Tanahashi, Yoshiya Ito, Sumitaka Kobayashi, Machiko Minatoya, Yu Ait Bamai, Keiko Yamazaki, Sachiko Ito, Chihiro Miyashita, Atsuko Araki, Reiko Kishi, Trajectories of the Psychological Status of Mothers of Infants With Nonsyndromic Orofacial Clefts: A Prospective Cohort Study From the Japan Environment and Children’s Study, 2021, 58, 1055-6656, 369, 10.1177/1055665620951399
    3. Tobore Onojighofia Tobore, On maternal Post-Partum/Natal depression. A global underrecognized problem and the need for better Treatment strategies, 2020, 290, 01651781, 113163, 10.1016/j.psychres.2020.113163
    4. Amy Louise Finlay-Jones, Jacqueline Ann Davis, Amanda O'Donovan, Keerthi Kottampally, Rebecca Anne Ashley, Desiree Silva, Jeneva Lee Ohan, Susan L Prescott, Jenny Downs, Comparing Web-Based Mindfulness With Loving-Kindness and Compassion Training for Promoting Well-Being in Pregnancy: Protocol for a Three-Arm Pilot Randomized Controlled Trial, 2020, 9, 1929-0748, e19803, 10.2196/19803
    5. Sarah Khanlari, John Eastwood, Bryanne Barnett, Sabrina Naz, Felix Akpojene Ogbo, Psychosocial and obstetric determinants of women signalling distress during Edinburgh Postnatal Depression Scale (EPDS) screening in Sydney, Australia, 2019, 19, 1471-2393, 10.1186/s12884-019-2565-3
    6. J. Fricke, M. Bolster, C. Ludwig-Körner, L. Kuchinke, F. Schlensog-Schuster, P. Vienhues, T. Reinhold, A. Berghöfer, S. Roll, T. Keil, Occurrence and determinants of parental psychosocial stress and mental health disorders in parents and their children in early childhood: rationale, objectives, and design of the population-based SKKIPPI cohort study, 2020, 0933-7954, 10.1007/s00127-020-02004-6
    7. Silvia Escribano, Antonio Oliver‐Roig, Antoni Cano‐Climent, Miguel Richart‐Martínez, Eva K. Persson, Rocío Juliá‐Sanchis, The Spanish version of the Mothers' Postnatal Sense of Security Scale: Psychometric properties and predictive utility, 2020, 43, 0160-6891, 651, 10.1002/nur.22071
    8. Esther W. Kariuki, Mary W. Kuria, Fredrick N. Were, David M. Ndetei, Effectiveness of a brief psychoeducational intervention on postnatal depression in the slums, Nairobi: a longitudinal study, 2020, 1434-1816, 10.1007/s00737-020-01085-1
    9. REDA GOWEDA, TAYSEER METWALLY, Prevalence and associated risk factors of postpartum depression: a cross sectional study, 2020, 47, 1806-938X, 106, 10.1590/0101-60830000000242
    10. Perpetua Modjadji, Kebogile Mokwena, Postnatal Depression Screening among Postpartum Women Attending Postnatal Care at Selected Community Health Centres Situated in the Nkangala District of South Africa, 2020, 13, 1874-9445, 696, 10.2174/1874944502013010696
    11. Mariya Chalise, Isha Karmacharya, Maheshor Kaphle, Ayurma Wagle, Natasha Chand, Laxmi Adhikari, Factors Associated with Postnatal Depression among Mothers Attending at Bharatpur Hospital, Chitwan, 2020, 2020, 2090-1321, 1, 10.1155/2020/9127672
    12. Zimeng Li, Ying Liu, Jiayao Wang, Jia Liu, Chunmei Zhang, Yanhui Liu, Effectiveness of cognitive behavioural therapy for perinatal depression: A systematic review and meta‐analysis, 2020, 29, 0962-1067, 3170, 10.1111/jocn.15378
    13. Wondimye Ashenafi, Bezatu Mengistie, Gudina Egata, Yemane Berhane, The role of intimate partner violence victimization during pregnancy on maternal postpartum depression in Eastern Ethiopia, 2021, 9, 2050-3121, 205031212198949, 10.1177/2050312121989493
    14. Sarah Khanlari, Bryanne Barnett AM, Felix Akpojene Ogbo, John Eastwood, Re-examination of perinatal mental health policy frameworks for women signalling distress on the Edinburgh Postnatal Depression Scale (EPDS) completed during their antenatal booking-in consultation: a call for population health intervention, 2019, 19, 1471-2393, 10.1186/s12884-019-2378-4
    15. Siti R.B.M. Arifin, Helen Cheyne, Margaret Maxwell, Abdilahi Yousuf, The Malaysian Women's Experience of Care and Management of Postnatal Depression, 2021, 17, 1745-0179, 10, 10.2174/1745017902117010010
    16. Kristiina Uriko, Are We Still at the Beginning of Our Study of Motherhood and the Mother–Child Bond?, 2021, 2522-5790, 10.1007/s42087-021-00223-0
    17. Elizabeth A. Spry, Margarita Moreno-Betancur, Melissa Middleton, Louise M. Howard, Stephanie J. Brown, Emma Molyneaux, Christopher J. Greenwood, Primrose Letcher, Jacqui A. Macdonald, Kimberly C. Thomson, Ebony J. Biden, Craig A. Olsson, George C. Patton, Preventing postnatal depression: a causal mediation analysis of a 20-year preconception cohort, 2021, 376, 0962-8436, 10.1098/rstb.2020.0028
    18. Barbara C. Schouten, Myrte Westerneng, Anne-Marike Smit, Midwives’ perceived barriers in communicating about depression with ethnic minority clients, 2021, 104, 07383991, 2393, 10.1016/j.pec.2021.07.032
    19. Nivine Hanach, Hadia Radwan, Randa Fakhry, Cindy-Lee Dennis, Wegdan Bani issa, MoezAlIslam E. Faris, Reyad Shaker Obaid, Suad Al Marzooqi, Charbel Tabet, Nanne De Vries, Prevalence and risk factors of postpartum depression among women living in the United Arab Emirates, 2023, 58, 0933-7954, 395, 10.1007/s00127-022-02372-1
    20. Ji-Min Seo, Su-Jeong Kim, Hyunjoo Na, Jin-Hee Kim, Hyejin Lee, Effectiveness of a Mobile Application for Postpartum Depression Self-Management: Evidence from a Randomised Controlled Trial in South Korea, 2022, 10, 2227-9032, 2185, 10.3390/healthcare10112185
    21. Bianca Nogrady, The hormonal keys to depression, 2022, 608, 0028-0836, S44, 10.1038/d41586-022-02208-7
    22. Pengfei Guo, Dong Xu, Zeyan Liew, Hua He, Peter Brocklehurst, Beck Taylor, Chao Zhang, Xin Jin, Wenjie Gong, Adherence to Traditional Chinese Postpartum Practices and Postpartum Depression: A Cross-Sectional Study in Hunan, China, 2021, 12, 1664-0640, 10.3389/fpsyt.2021.649972
    23. Quratulain Ahsan, Javeria Saleem, Tazeem Akhtar, Aasia Khan, Abid Malik, PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS DURING 2ND WAVE OF COVID-19 AMONG PREGNANT WOMEN IN A TERTIARY CARE HOSPITAL, LAHORE, 2021, 9, 2395-6518, 846, 10.18510/hssr.2021.9382
    24. Jamaan Alzahrani, Sameer Al-Ghamdi, Khaled Aldossari, Mansour Al-Ajmi, Dhafer Al-Ajmi, Faisal Alanazi, Abdullah Aldossary, Ahmed Alharbi, Postpartum Depression Prevalence and Associated Factors: An Observational Study in Saudi Arabia, 2022, 58, 1648-9144, 1595, 10.3390/medicina58111595
    25. Shaeraine Raaj, Vijo Verghese, Myelone Tharmaseelan, Richard Duffy, N. K. S. Tharmaseelan N. K. Sinnadorai, Perinatal mental health in Malaysia: understanding the treatment gap and recommendations for the future, 2023, 20, 2056-4740, 9, 10.1192/bji.2022.2
    26. A. R. McKinlay, D. Fancourt, A. Burton, Factors affecting the mental health of pregnant women using UK maternity services during the COVID-19 pandemic: a qualitative interview study, 2022, 22, 1471-2393, 10.1186/s12884-022-04602-5
    27. Nurul Husna Mohd Shukri , Olivia Senjaya, Zurina Zainudin, Maslina Mohamed, Farah Inaz Syed Abdullah, The Associations of Breastfeeding and Postnatal Experiences With Postpartum Depression Among Mothers of Hospitalized Infants in Tertiary Hospitals, 2022, 2168-8184, 10.7759/cureus.29425
    28. Sarah Myers, Emily H. Emmott, Communication Across Maternal Social Networks During England’s First National Lockdown and Its Association With Postnatal Depressive Symptoms, 2021, 12, 1664-1078, 10.3389/fpsyg.2021.648002
    29. Siti Fatimah Ab Ghaffar, Irma Izani Mohamad Isa, Normaizatul Akma Saidi, Nurul Hafizah Mohd Yasin, Hasif Rafidee Hasbollah, 2023, Chapter 54, 978-3-031-08083-8, 747, 10.1007/978-3-031-08084-5_54
    30. Prakash P Doke, Varsha Mahesh Vaidya, Arvinder Pal Singh Narula, Manjiri Chaitanya Datar, Archana Vasantrao Patil, Tushar Madhav Panchanadikar, Girija Narendrakumar Wagh, Assessment of difference in postpartum depression among caesarean and vaginally delivered women at 6-week follow-up in hospitals in Pune District, India: an observational cohort study, 2021, 11, 2044-6055, e052008, 10.1136/bmjopen-2021-052008
    31. Chiara Ionio, Marta Gallese, Valentina Fenaroli, Martina Smorti, Andrea Greco, Ilaria Testa, Anna Zilioli, Lucia Bonassi, COVID-19: what about pregnant women during first lockdown in Italy?, 2022, 40, 0264-6838, 577, 10.1080/02646838.2021.1928614
    32. Nurul Husna Mohd Shukri, Wan Ying Gan, Nurzalinda Zalbahar, Maiza Tusimin, Nuruljannah Mohamad Nasri, COVID-19 Restrictions and Maternal Experience and Infant Feeding, 2022, 71, 1538-9847, E10, 10.1097/NNR.0000000000000568
    33. Chimwemwe Pindani Tembo, Sharyn Burns, Linda Portsmouth, Maternal mental health of adolescent mothers: a cross-sectional mixed-method study protocol to determine cultural and social factors and mental health needs in Lilongwe, Malawi, 2022, 12, 2044-6055, e056765, 10.1136/bmjopen-2021-056765
    34. Keiko Doering, Judith McAra-Couper, Andrea Gilkison, The un-silencing of Japanese women's voices in maternity care: A hermeneutic phenomenological study of the woman–midwife relationship, 2022, 112, 02666138, 103407, 10.1016/j.midw.2022.103407
    35. Rebecca E. Lacey, Dawid Gondek, Brooke J. Smith, Andrew D. A. C. Smith, Erin C. Dunn, Amanda Sacker, Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: the Avon Longitudinal Study of Parents and Children, 2022, 0021-9630, 10.1111/jcpp.13699
    36. Lydia Ling, Yolanda Eraso, Verity Di Mascio, First-generation Nigerian mothers living in the UK and their experience of postnatal depression: an interpretative phenomenological analysis, 2022, 1355-7858, 1, 10.1080/13557858.2022.2128069
    37. Riah Patterson, Holly Krohn, Erin Richardson, Mary Kimmel, Samantha Meltzer-Brody, A Brexanolone Treatment Program at an Academic Medical Center: Patient Selection, 90-Day Posttreatment Outcomes, and Lessons Learned, 2022, 63, 26672960, 14, 10.1016/j.jaclp.2021.08.001
    38. Irina Balan, Riah Patterson, Giorgia Boero, Holly Krohn, Todd K. O'Buckley, Samantha Meltzer-Brody, A. Leslie Morrow, Brexanolone therapeutics in post-partum depression involves inhibition of systemic inflammatory pathways, 2023, 89, 23523964, 104473, 10.1016/j.ebiom.2023.104473
    39. Endurance Uzobo, Bodisere Juliet Teibowei, Victoria Imomoemi Ogeh, Prevalence and Coping Strategies of Postnatal Depression among Women in Bayelsa State, Nigeria, 2022, 24, 2520-5293, 10.25159/2520-5293/9457
    40. Bryan M. Gee, Nicki L. Aubuchon-Endsley, Abby Prow, Perinatal Maternal Mental Health and Breastfeeding Are Associated with Infant and Toddler Sensory Profiles, 2021, 8, 2227-9067, 766, 10.3390/children8090766
    41. Natalia Ruiz-Segovia, Maria Fe Rodriguez-Muñoz, Maria Eugenia Olivares, Nuria Izquierdo, Pluvio Coronado, Huynh-Nhu Le, Healthy Moms and Babies Preventive Psychological Intervention Application: A Study Protocol, 2021, 18, 1660-4601, 12485, 10.3390/ijerph182312485
    42. Maoka Yamada, Keiko Tanaka, Masashi Arakawa, Yoshihiro Miyake, Perinatal maternal depressive symptoms and risk of behavioral problems at five years, 2022, 92, 0031-3998, 315, 10.1038/s41390-021-01719-9
    43. Hsi-Ping Nieh, Li-Tuan Chou, Chien-Ju Chang, Depressed mood trajectories in the first year postpartum among Taiwanese mothers: Associations with perceived support, financial stress, and marital satisfaction, 2022, 27, 1359-1053, 2478, 10.1177/13591053211049944
    44. Julie Lelièvre, Titia Hompes, Birgitte Schoenmakers, Postnatal depression: identification of risk factors in the short-stay maternity program in Belgium. A cross-sectional study, 2021, 5, 2398-3795, BJGPO.2021.0127, 10.3399/BJGPO.2021.0127
    45. Laurie C. Miller, Sumanta Neupane, Thalia M. Sparling, Merina Shrestha, Neena Joshi, Mahendra Lohani, Andrew Thorne‐Lyman, Maternal depression is associated with less dietary diversity among rural Nepali children, 2021, 17, 1740-8695, 10.1111/mcn.13221
    46. Seo Ah Hong, Doungjai Buntup, Maternal Depression during Pregnancy and Postpartum Period among the Association of Southeast Asian Nations (ASEAN) Countries: A Scoping Review, 2023, 20, 1660-4601, 5023, 10.3390/ijerph20065023
    47. Loredana Lucarelli, Laura Vismara, Irene Chatoor, Cristina Sechi, Parental Pre and Postnatal Depression: The Longitudinal Associations with Child Negative Affectivity and Dysfunctional Mother–Child Feeding Interactions, 2023, 10, 2227-9067, 565, 10.3390/children10030565
    48. Siti Roshaidai Mohd Arifin, Siti Aishah Daud, Nur Liyana Shahmi Ruslan, Khadijah Hasanah Abang Abdullah, Nurul Ain Hidayah Abas, Rohayah Husain, Karimah Hanim Abd Aziz, Ramli Musa, Fathima Begum Syed Mohideen, Asma Perveen, Khairi Che Mat, Izazol Idris, Exploring the Views of Healthcare Practitioners on Postnatal Mental Illness Screening Among Malaysian Women, 2022, 18, 1675-8544, 66, 10.47836/mjmhs.18.s19.11
    49. Jenny Faulkner, Chris Moir, Felicity Goodyear-Smith, Whānau Āwhina Plunket nurses’ views on the use of the PHQ-3 postnatal depression screening tool: a survey, 2023, 15, 1172-6156, 24, 10.1071/HC22120
    50. ArvindKumar Singh, Sarika Palepu, GautomKumar Saharia, Suravi Patra, Sweta Singh, Manish Taywade, Vikas Bhatia, Association between gestational diabetes mellitus and postpartum depression among women in Eastern India: A cohort study, 2023, 48, 0970-0218, 351, 10.4103/ijcm.ijcm_759_22
    51. Su Rou Low, Suzanna Awang Bono, Zaireeni Azmi, The effect of emotional support on postpartum depression among postpartum mothers in Asia: A systematic review, 2023, 1758-5864, 10.1111/appy.12528
    52. Ana-Maria Andrei, Rebecca Webb, Violeta Enea, Health anxiety, death anxiety and coronaphobia: Predictors of postpartum depression symptomatology during the COVID-19 pandemic, 2023, 124, 02666138, 103747, 10.1016/j.midw.2023.103747
    53. Megan Teychenne, Maria Apostolopoulos, Madeleine France‐Ratcliffe, Elysha Chua, Sanae Hall, Rachelle S. Opie, Sarah Blunden, Mitch J. Duncan, Ellinor K. Olander, Harriet Koorts, Factors relating to sustainability and scalability of the ‘Food, Move, Sleep (FOMOS) for Postnatal Mental Health’ program: Qualitative perspectives from key stakeholders across Australia, 2023, 1036-1073, 10.1002/hpja.767
    54. Nusrat Husain, Farah Lunat, Karina Lovell, Deepali Sharma, Nosheen Zaidi, Asad Bokhari, Aleena Syed, Barbara Tomenson, Anharul Islam, Nasim Chaudhry, Waquas Waheed, Exploratory RCT of a group psychological intervention for postnatal depression in British mothers of South Asian origin – ROSHNI-D, 2023, 238, 00016918, 103974, 10.1016/j.actpsy.2023.103974
    55. Sophia A. Harris, Michelle Harrison, Karen Hazell‐Raine, Catherine Wade, Valsamma Eapen, Jane Kohlhoff, Patient navigation models for mental health of parents expecting or caring for an infant or young child: A systematic review, 2023, 44, 0163-9641, 587, 10.1002/imhj.22075
    56. Jacqueline A Davis, Jeneva L Ohan, Sonia Gregory, Keerthi Kottampally, Desiree Silva, Susan L Prescott, Amy L Finlay-Jones, Perinatal women’s perspectives and engagement in digital emotional wellbeing training: a mixed methods study (Preprint), 2023, 1438-8871, 10.2196/46852
    57. Madeleine France-Ratcliffe, Hannah E. Christie, Sarah Blunden, Rachelle S. Opie, Elysha Chua, Nazgol Karimi, Brittany Markides, Alison C. Uldrich, Ellinor K. Olander, Rhiannon L. White, Paige van der Pligt, Jane Willcox, Gavin Abbott, Jane Denton, Miriam Lewis, Maria Apostolopoulos, Penelope Love, Anita Lal, Mats Hallgren, Sarah Costigan, Mitch J. Duncan, Megan Teychenne, Evaluating a multi-behavioural home-based intervention for reducing depressive symptoms in postnatal women : The food, move, sleep (FOMOS) for postnatal mental health randomised controlled trial protocol, 2024, 136, 15517144, 107383, 10.1016/j.cct.2023.107383
    58. Benjamin Kass, Stephanie Roll, Marie Bolster, Michaela Heinrich-Rohr, Lars Kuchinke, Christiane Ludwig-Körner, Franziska Schlensog-Schuster, Julia Fricke, Anne Berghöfer, Thomas Keil, Thomas Reinhold, Utilization and costs of health care and early support services in Germany and the influence of mental health burden during the postnatal period, 2023, 01907409, 107373, 10.1016/j.childyouth.2023.107373
    59. Nuruljannah Mohamad Nasri, Wan Ying Gan, Nurul Husna Mohd Shukri, Mother-infant postnatal experience and its association with maternal emotion and coping during the COVID-19 pandemic, 2024, 0264-6838, 1, 10.1080/02646838.2024.2314187
    60. Toshikazu Shinba, Hironori Suzuki, Michiko Urita, Shuntaro Shinba, Yujiro Shinba, Miho Umeda, Junko Hirakuni, Takemi Matsui, Ryo Onoda, Heart Rate Variability Measurement Can Be a Point-of-Care Sensing Tool for Screening Postpartum Depression: Differentiation from Adjustment Disorder, 2024, 24, 1424-8220, 1459, 10.3390/s24051459
    61. Daryl Jian An Tan, Rehena Sultana, Sheryl Chow, Chin Wen Tan, Hon Tan, Helen Chen, Tze-Ern Chua, Ban Leong Sng, Investigating Factors Associated with the Development of Postnatal Depression After Cesarean Delivery: A Validation Cohort Study, 2024, Volume 20, 1178-2021, 439, 10.2147/NDT.S448853
    62. Ruth Terry, Traci Hudson, Increased rates of perinatal mental illness following COVID-19: the call for sufficient midwifery provision, 2024, 32, 0969-4900, 136, 10.12968/bjom.2024.32.3.136
    63. Jean Marie S. Place, Kalyn Renbarger, Kristin Van De Griend, Maya Guinn, Chelsie Wheatley, Olivia Holmes, Barriers to help-seeking for postpartum depression mapped onto the socio-ecological model and recommendations to address barriers, 2024, 5, 2673-5059, 10.3389/fgwh.2024.1335437
    64. Julia Fricke, Marie Bolster, Katja Icke, Natalja Lisewski, Lars Kuchinke, Christiane Ludwig-Körner, Franziska Schlensog-Schuster, Thomas Reinhold, Anne Berghöfer, Stephanie Roll, Thomas Keil, Assessment of Psychosocial Stress and Mental Health Disorders in Parents and Their Children in Early Childhood: Cross-Sectional Results from the SKKIPPI Cohort Study, 2024, 11, 2227-9067, 920, 10.3390/children11080920
    65. Kathrin Haßdenteufel, Mitho Müller, Harald Abele, Sara Yvonne Brucker, Johanna Graf, Stephan Zipfel, Armin Bauer, Peter Jakubowski, Jan Pauluschke-Fröhlich, Markus Wallwiener, Stephanie Wallwiener, Improving Maternal Mental Health and Weight Control with a Mindfulness blended Care Approach: RCT Insights (Preprint), 2024, 1438-8871, 10.2196/56230
    66. Huayu Ji, Yiji Wang, Emotional reactivity mediates and moderates the longitudinal associations between mothers' depressive symptoms and behavioral problems in youth, 2024, 1050-8392, 10.1111/jora.13042
    67. Julia Fricke, Marie Bolster, Katja Icke, Natalja Lisewski, Lars Kuchinke, Christiane Ludwig-Körner, Franziska Schlensog-Schuster, Thomas Reinhold, Anne Berghöfer, Stephanie Roll, Thomas Keil, Psychiatric disorders in psychosocially burdened mothers with young children: a population-based cohort study in Germany, 2025, 16, 1664-0640, 10.3389/fpsyt.2025.1477336
    68. Paige E. Davis, Susanna Kola-Palmer, A socially prescribed creative play intervention for new parents: investigating post traumatic stress around birth and changes in postnatal depression and reflective function, 2025, 13, 2050-7283, 10.1186/s40359-025-02578-3
    69. Abel Kolawole Oyebamiji, Sunday Adewale Akintelu, Oluwakemi Ebenezer, Faith Eniola Olujinmi, David O. Adekunle, Adesoji Alani Olanrewaju, Omowumi Temitayo Akinola, Samson Olusegun Afolabi, Ehimen Anastasia Erazua, Ayodeji Arnold Olaseinde, Unveiling the Potential Biochemical Effects of Selected Heterocyclic compounds as Human Type-A γ-aminobutyric acid (GABA A) Modulator: An Insilico Approach, 2025, 2215017X, e00894, 10.1016/j.btre.2025.e00894
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Mathematical Biosciences and Engineering
3.9

Metrics

Article views(2018) PDF downloads(108) Cited by(1)

Preview PDF
Download XML
Export Citation
Article outline
Abstract
References

Other Articles By Authors

Related pages

Tools

Copyright © AIMS Press

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog