Research article Topical Sections

Anthropogenic forest loss and malaria prevalence: a comparative examination of the causes and disease consequences of deforestation in developing nations

  • Received: 31 October 2016 Accepted: 27 February 2017 Published: 01 March 2017
  • Malaria represents an infectious disease keenly tied to environmental conditions, as mosquitoes represent the disease vector. Many studies are beginning to document that changes in environmental conditions, such as deforestation, can greatly alter the density and activity of mosquito populations and therefore malaria rates. While numerous epidemiological studies examine the links between forest loss and mosquito proliferation in distinct locales, comparative assessments across multiple sites are lacking. We attempt to address this gap by imparting a cross-national analysis of less-developed, non-desert, malaria endemic nations. Using a structural equation model of 67 nations, we find positive associations between deforestation rates and malaria prevalence across nations. Our results also suggest that rural population growth and specialization in agriculture are two key influences on forest loss in developing nations. Thus, anthropogenic drivers of environmental degradation are important to consider in explaining cross-national variation in malaria rates.

    Citation: Kelly F. Austin, Megan O. Bellinger, Priyokti Rana. Anthropogenic forest loss and malaria prevalence: a comparative examination of the causes and disease consequences of deforestation in developing nations[J]. AIMS Environmental Science, 2017, 4(2): 217-231. doi: 10.3934/environsci.2017.2.217

    Related Papers:

  • Malaria represents an infectious disease keenly tied to environmental conditions, as mosquitoes represent the disease vector. Many studies are beginning to document that changes in environmental conditions, such as deforestation, can greatly alter the density and activity of mosquito populations and therefore malaria rates. While numerous epidemiological studies examine the links between forest loss and mosquito proliferation in distinct locales, comparative assessments across multiple sites are lacking. We attempt to address this gap by imparting a cross-national analysis of less-developed, non-desert, malaria endemic nations. Using a structural equation model of 67 nations, we find positive associations between deforestation rates and malaria prevalence across nations. Our results also suggest that rural population growth and specialization in agriculture are two key influences on forest loss in developing nations. Thus, anthropogenic drivers of environmental degradation are important to consider in explaining cross-national variation in malaria rates.


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    [1] World Health Organization (WHO), World Malaria Report 2016, 2016. Available from: http://apps.who.int/iris/bitstream/10665/252038/1/9789241511711-eng.pdf?ua=1.
    [2] Norris D (2004) Mosquito-borne Diseases as a Consequence of Land Use Change. EcoHealth 1: 19-24. doi: 10.1007/s10393-004-0008-7
    [3] Lewis S, Maslin M (2015) Defining the Anthropocene. Nature 519: 171-180. doi: 10.1038/nature14258
    [4] Food and Agriculture Organization (FAO) of the United Nations, Global Forest Resources Assessment 2015, 2015. Available from: http://www.fao.org/3/a-i4808e.pdf.
    [5] Ernst KC, Lindblade KA, Koech D, et al. (2009) Environmental, socio-demographic and behavioural determinants of malaria risk in the western Kenyan highlands: a case-control study. Trop Med Int Health 14: 1258-1265. doi: 10.1111/j.1365-3156.2009.02370.x
    [6] Vittor AY, Pan W, Gilman RH, et al. (2009) Linking deforestation to malaria in the Amazon: characterization of the breeding habitat of the principal malaria vector, Anopheles darlingi. Am J Trop Med Hyg 81: 5-12.
    [7] Hanandita W, Tampubolon G (2016) Geography and social distribution of malaria in Indonesian Papua: a cross-sectional study. Int J Health Geogr 15: 13. doi: 10.1186/s12942-016-0043-y
    [8] Wang X, Zhou G, Zhong D, et al. (2016) Life-table studies revealed significant effects of deforestation on the development and survivorship of Anopheles minimus larvae. Parasite vector 9: 323. doi: 10.1186/s13071-016-1611-5
    [9] Vittor AY, Gilman RH, Tielsch J, et al. (2006) The effect of deforestation on the human-biting rate of Anopheles darlingi, the primary vector of falciparum malaria in the Peruvian Amazon. Am J Trop Med Hyg 74: 3-11.
    [10] Manh BH, Clements ACA, Thieu NQ, et al. (2011) Social and environmental determinants of malaria in space and time in Viet Nam. Int J Parasitol 41: 109-116. doi: 10.1016/j.ijpara.2010.08.005
    [11] World Health Organization (WHO), World Malaria Report 2015, 2015. Available from: http://www.who.int/malaria/publications/world-malaria-report-2015/report/en/.
    [12] Packard RM, The making of a tropical disease: a short history of malaria. JHU Press, 2007.
    [13] Stratton L, O'Neill MS, Kruk ME, et al. (2008) The persistent problem of malaria: Addressing the fundamental causes of a global killer. Soc Sci Med 67: 854-862. doi: 10.1016/j.socscimed.2008.05.013
    [14] Austin KF, Noble MD, Mejia MT (2014) Gendered vulnerabilities to a neglected disease: A comparative investigation of the effect of women's legal economic rights and social status on malaria rates. Int J Comp Sociol 55: 204-228. doi: 10.1177/0020715214543158
    [15] Brady D, Kaya Y, Beckfield J (2007) Reassessing the effect of economic growth on well-being in less-developed countries, 1980–2003. Stud Comp Int Develop 42: 1-35. doi: 10.1007/s12116-007-9003-7
    [16] Burroway R (2010) Schools against AIDS: Secondary school enrollment and cross-national disparities in AIDS death rates. Soc Probl 57: 398-420. doi: 10.1525/sp.2010.57.3.398
    [17] Shen C, Williamson JB (2001) Accounting for cross-national differences in infant mortality decline (1965–1991) among less developed countries: Effects of women's status, economic dependency, and state strength. Soc Indic Res 53: 257-288. doi: 10.1023/A:1007190612314
    [18] Williamson JB, Boehmer U (1997) Female life expectancy, gender stratification, health status, and level of economic development: A cross-national study of less developed countries. Soc Sci Med 45: 305-317. doi: 10.1016/S0277-9536(96)00346-2
    [19] Mayxay M, Pukrittayakamee S, Newton PN, et al. (2004) Mixed-species malaria infections in humans. Trends Parasitol 20: 233-240.
    [20] Neafsey DE, Waterhouse RM, Abai MR, et al. (2015) Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes. Science 347: 1258522. doi: 10.1126/science.1258522
    [21] Bates I, Fenton C, Gruber J, et al. (2004) Vulnerability to malaria, tuberculosis, and HIV/AIDS infection and disease. Part II: determinants operating at environmental and institutional level. Lancet Infect Diseases 4: 368-375.
    [22] Hastings IM, Ward SA (2005) Coartem (artemether-lumefantrine) in Africa: the beginning of the end? J Infect Diseases 192: 1303-1304.
    [23] Shah S, The Fever, Picador, 2010.
    [24] Sachs J, Malaney P (2002) The economic and social burden of malaria. Nature 415: 680-685. doi: 10.1038/415680a
    [25] Lowassa A, Mazigo HD, Mahande AM, et al. (2012) Social economic factors and malaria transmission in Lower Moshi, northern Tanzania. Parasite vector 5: 129. doi: 10.1186/1756-3305-5-129
    [26] Williams PCM, Martina A, Cumming RG, et al. (2009) Malaria prevention in Sub-Saharan Africa: a field study in rural Uganda. J Commun Health 34: 288-294. doi: 10.1007/s10900-009-9151-y
    [27] Dike N, Onwujekwe O, Ojukwu J, et al. (2006) Influence of education and knowledge on perceptions and practices to control malaria in Southeast Nigeria. Soc Sci Med 63: 103-106. doi: 10.1016/j.socscimed.2005.11.061
    [28] Williams HA, Jones COH (2004) A critical review of behavioral issues related to malaria control in sub-Saharan Africa: what contributions have social scientists made? Soc Sci Med 59: 501-523. doi: 10.1016/j.socscimed.2003.11.010
    [29] Blanford JI, Blanford S, Crane RG, et al. (2013) Implications of temperature variation for malaria parasite development across Africa. Sci Rep 3: 1300.
    [30] Pattanayak S, Dickinson K, Corey C, et al. (2006) Deforestation, malaria, and poverty: a call for transdisciplinary research to support the design of cross-sectoral policies. Sustainability: Science, Practice, Policy 2(2).
    [31] Pimentel D, Cooperstein S, Randell H, et al. (2007) Ecology of increasing diseases: population growth and environmental degradation. Hum Ecol 35: 653-668. doi: 10.1007/s10745-007-9128-3
    [32] Patz JA, Graczyk TK, Geller N, et al. (2000) Effects of environmental change on emerging parasitic diseases. Int J Parasitol 30: 1395-1405. doi: 10.1016/S0020-7519(00)00141-7
    [33] Myers SS, Gaffikin L, Golden CD, et al. (2013) Human health impacts of ecosystem alteration. Proc Nat Acad Sci USA 110: 18753-18760. doi: 10.1073/pnas.1218656110
    [34] Laporta GZ, de Prado PIKL, Kraenkel RA, et al. (2013) Biodiversity can help prevent malaria outbreaks in tropical forests. PLoS Negl Trop Dis 7: e2139. doi: 10.1371/journal.pntd.0002139
    [35] Yasuoka J, Levins R (2007) Impact of deforestation and agricultural development on anopheline ecology and malaria epidemiology. Am J Trop Med Hyg 76: 450-460.
    [36] World Bank, World development report: Agriculture for development, 2008.
    [37] Bensel T (2008) Fuelwood, deforestation, and land degradation: 10 years of evidence from Cebu Province, the Philippines. Land Degrad Dev 19: 587-605. doi: 10.1002/ldr.862
    [38] Jorgenson AK, Burns TJ (2007) Effects of Rural and Urban Population Dynamics and National Development on Deforestation in Less-Developed Countries, 1990–2000. Sociol Inq 77: 460-482. doi: 10.1111/j.1475-682X.2007.00200.x
    [39] Bollen K, Structural Equations with Latent Variables, New York: John Wiley and Sons, Inc, 1989.
    [40] Kaplan D, Structural equation modeling: Foundations and extensions. Sage Publications, 2008.
    [41] Muthén LK, Muthén BO, Mplus User's Guide, 5th ed., Los Angeles: Muthén and Muthén, 2007.
    [42] Arbuckle JL (1996) Full information estimation in the presence of incomplete data. Advanced structural equation modeling: Issues and technique 243: 277.
    [43] World Bank, World Databank, World Development Indicators, 2016. Available from: http://databank.worldbank.org/data/views/variableSelection/selectvariables.aspx?source=world-development-indicators#.
    [44] Austin KF, McKinney LA (2012) Disease, war, hunger, and deprivation: A cross-national investigation of the determinants of life expectancy in less-developed and sub-Saharan African nations. Sociol Perspect 55: 421-447. doi: 10.1525/sop.2012.55.3.421
    [45] Shandra CL, Shandra JM, London B (2011) World bank structural adjustment, water, and sanitation: A cross-national analysis of child mortality in Sub-Saharan Africa. Organ Environ 24: 107-129.
    [46] Austin KF, McKinney LA, Thompson G (2012) Agricultural Trade Dependency and the Threat of Starvation: A Cross-National Analysis of Hunger as Unequal Exchange. Int J Sociol 42: 68-89. doi: 10.2753/IJS0020-7659420204
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