The spread of diseases poses significant threats to human health globally. The dynamic nature of infectious diseases, especially those that also rely on carriers (e.g., house flies) for transmission, requires innovative strategies to control their spread, as environmental conditions such as temperature, humidity, etc., affect the rate of growth of the carrier population. This study introduces a mathematical model to assess the effect of increasing global average temperature rise caused by carbon dioxide emissions and chemical control strategies on the dynamics of such diseases. The stability properties of feasible equilibrium solutions were discussed. Sensitivity analysis was also performed to highlight the key parameters that may help to design effective intervention strategies to control disease transmission. The model was further analyzed for an optimal control problem by incorporating a control measure on the application rate of chemical insecticides to reduce the carrier population. Through the combination of analytical techniques and numerical simulations, we have evaluated the effectiveness of chemical control strategies under varying epidemiological parameters. The model also explored the critical thresholds necessary for achieving disease control and eradication. Our results are valuable to public health officials and policymakers in designing effective interventions against carrier-dependent infectious diseases.
Citation: Shubham Chaudhry, Gauri Agrawal, Maia Martcheva, A. K. Misra. Modeling the impact of temperature on the dynamics of carrier-dependent infectious diseases with control strategies[J]. Mathematical Biosciences and Engineering, 2025, 22(7): 1722-1750. doi: 10.3934/mbe.2025063
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The spread of diseases poses significant threats to human health globally. The dynamic nature of infectious diseases, especially those that also rely on carriers (e.g., house flies) for transmission, requires innovative strategies to control their spread, as environmental conditions such as temperature, humidity, etc., affect the rate of growth of the carrier population. This study introduces a mathematical model to assess the effect of increasing global average temperature rise caused by carbon dioxide emissions and chemical control strategies on the dynamics of such diseases. The stability properties of feasible equilibrium solutions were discussed. Sensitivity analysis was also performed to highlight the key parameters that may help to design effective intervention strategies to control disease transmission. The model was further analyzed for an optimal control problem by incorporating a control measure on the application rate of chemical insecticides to reduce the carrier population. Through the combination of analytical techniques and numerical simulations, we have evaluated the effectiveness of chemical control strategies under varying epidemiological parameters. The model also explored the critical thresholds necessary for achieving disease control and eradication. Our results are valuable to public health officials and policymakers in designing effective interventions against carrier-dependent infectious diseases.
Let (Mn,g) be an n-dimensional Riemannian manifold with the metric g and the dimension n≥3. If there exists a non-constant smooth function f such that
fij=f(Rij−1n−1Rgij), | (1.1) |
then (Mn,g,f) is called a vacuum static space (for more backgrounds, see [8,10,19,23]). Here fij, Rij and R denote components of the Hessian of f, the Ricci curvature tensor and the scalar curvature, respectively. In [8], Fischer-Marsden proposed the following conjecture: The standard spheres are the only n-dimensional compact vacuum static spaces. In [18], Kobayashi gave a classification for n-dimensional complete vacuum static spaces that are locally conformally flat. On the other hand, he and Lafontaine [20] also provided some counterexamples for the above conjecture.
In fact, according to the second Bianchi identity, any vacuum static space has constant scalar curvature. Moreover, Bourguignon [2] and Fischer-Marsden [8] have proved that the set f−1(0) has the measure zero and the set f−1(0) is a totally geodesic regular hypersurface.
Let ˚Rij=Rij−Rngij be the trace-free Ricci curvature, then (1.1) can be written as
fij=f˚Rij−Rn(n−1)fgij, | (1.2) |
which gives
Δf=−Rn−1f. |
It is well known that the Weyl curvature tensor W and the Riemannian curvature tensor is related by
Rijkl=Wijkl+1n−2(Rikgjl−Rilgjk+Rjlgik−Rjkgil)−R(n−1)(n−2)(gikgjl−gilgjk). |
In this paper, we consider rigidity results for closed vacuum static spaces. By using the maximum principle, some rigidity theorems are obtained under some pointwise inequalities and show that the squared norm of the Ricci curvature tensor is discrete.
Theorem 1.1. Let (Mn,g,f) be a closed vacuum static space with the positive scalar curvature and flWlijk=0 (that is, zero radial Weyl curvature), where n≥4. If
(n−1)(n−2)2|W|2+n(n−1)|˚Rij|2≤R2, | (1.3) |
then it must be of Einstein as long as there exists a point such that the inequality in (1.3) is strict.
Next, by substituting (1.3) with a stronger condition, we can obtain the following characterizations:
Theorem 1.2. Let (Mn,g,f) be a closed vacuum static space with the positive scalar curvature and flWlijk=0 (that is, zero radial Weyl curvature), where n≥4. If
√(n−1)(n−2)2|W|+√n(n−1)|˚Rij|≤R, | (1.4) |
then it must be of Einstein or a Riemannian product S1×Sn−1. In particular, it must be of Einstein as long as there exists a point such that the inequality in (1.4) is strict.
When W=0, the formula (2.1) shows that the Einstein metric with the positive scalar curvature must be of positive constant sectional curvature. Hence, Theorem 1.2 gives the following:
Corollary 1.3. Let (Mn,g,f) be a closed vacuum static space with the positive scalar curvature and W=0. If
|˚Rij|≤R√n(n−1), | (1.5) |
then it must be of either Sn with positive constant sectional curvature or a Riemannian product S1×Sn−1.
In particular, when n=3, we have W=0 automatically and Corollary 1.3 yields the following result (which has been proved by Ambrozio in [1, Theorem A]) immediately:
Corollary 1.4. Let (M3,g,f) be a closed vacuum static space with the positive scalar curvature. If
|˚Rij|≤1√6R, | (1.6) |
then it must be of either S3 with positive constant sectional curvature or a Riemannian product S1×S2.
Remark 1.1. It is easy to see that the condition (1.4) is stronger than (1.3). On the other hand, one can check that when Mn=S1×Sn−1, we have |˚Rij|=R√n(n−1), and when Mn=Sn, we have |˚Rij|=0. Hence, for closed vacuum static spaces with W=0, Corollary 1.3 gives the following pinching results: If 0≤|˚Rij|≤R√n(n−1), then |˚Rij|=0 or |˚Rij|=R√n(n−1). That is, the value of |˚Rij| is discrete.
Remark 1.2. Recently, by a generalized maximum principle, Cheng and Wei [6] considered the classifications for three-dimensional complete vacuum static spaces with constant squared norm of Ricci curvature tensor. For the classifications for closed cases, see [17,24,25,26] and the references therein.
It is well known that the Weyl curvature tensor and the Cotton tensor are defined respectively as follows:
Rijkl=Wijkl+1n−2(Rikgjl−Rilgjk+Rjlgik−Rjkgil)−R(n−1)(n−2)(gikgjl−gilgjk)=Wijkl+1n−2(˚Rikgjl−˚Rilgjk+˚Rjlgik−˚Rjkgil)+Rn(n−1)(gikgjl−gilgjk) | (2.1) |
and
Cijk=˚Rij,k−˚Rik,j+n−22n(n−1)(R,kgij−R,jgki). | (2.2) |
From (2.2), it is easy to see that Cijk is skew-symmetric with respect to the last two indices; that is, Cijk=−Cikj and is trace-free in any two indices:
Ciik=0=Ciji. | (2.3) |
In addition,
Cijk+Cjki+Ckij=0, | (2.4) |
and in using the Ricci identity, one has
Cilk,l=Ckli,l, Cijl,l=Cjil,l, Clij,l=0. | (2.5) |
Associated to (1.1), there is a (0.3)-tensor Tijk, which can be written as
Tijk=n−1n−2(˚Rikfj−˚Rijfk)+1n−2(gik˚Rjl−gij˚Rkl)fl. | (2.6) |
A direct calculation enables us to observe that T satisfies the following properties:
Tijk=−Tikj, Tiik=0=Tiji, |
Tijk+Tjki+Tkij=0. |
Moreover, the tensor Cijk is related to T by (see [3,4,11,15,25]):
fCijk=Tijk+flWlijk. | (2.7) |
Lemma 2.1. Let (Mn,g,f) be a vacuum static space with f satisfying (1.2). We have
Δfij=2f˚RmkWmijk+2nn−2f˚Rim˚Rmj+R2n(n−1)2fgij−2n−2f|˚Rkl|2gij+1n−1Rf˚Rij+fmCjmi+fm˚Rmi,j | (2.8) |
and
fΔ˚Rij=2f˚RmkWmijk+2nn−2f˚Rim˚Rmj−2n−2f|˚Rkl|2gij+fm(Cjmi+Cimj)+2Rn−1f˚Rij−fk˚Rij,k. | (2.9) |
Proof. By the Ricci identity, we have
fij,kl=fik,jl+(fmRmijk),l=fik,jl+fmlRmijk+fmRmijk,l=fik,lj+fmkRmijl+fimRmkjl+fmlRmijk+fmRmijk,l=fkl,ij+(fmRmkil),j+fmkRmijl+fimRmkjl+fmlRmijk+fmRmijk,l=fkl,ij+fmjRmkil+fmkRmijl+fimRmkjl+fmlRmijk+fmRmijk,l+fmRmkil,j, |
which gives
Δfij=fij,kk=(Δf),ij+fmjRmi+2fmkRmijk+fimRmj+fmRmijk,k+fmRmi,j. | (2.10) |
Since the scalar curvature R is constant, then
(Δf),ij=−1n−1Rf[˚Rij−Rn(n−1)gij], |
fmjRmi=[f˚Rmj−Rn(n−1)fgmj](˚Rmi+Rngmi)=f˚Rim˚Rmj+n−2n(n−1)Rf˚Rij−R2n2(n−1)fgij, |
which is equivalent to
fmj˚Rmi=f˚Rim˚Rmj−Rn(n−1)f˚Rij, |
fmkRmijk=fmk[Wmijk+1n−2(˚Rmjgik−˚Rmkgij+˚Rikgmj−˚Rijgmk)+Rn(n−1)(gmjgik−gmkgij)]=f˚RmkWmijk+1n−2[fik˚Rkj+fjk˚Rki−fmk˚Rmkgij−(Δf)˚Rij]+Rn(n−1)[fij−(Δf)gij]=f˚RmkWmijk+1n−2[2f˚Rim˚Rmj−2Rn(n−1)f˚Rij−f|˚Rkl|2gij+Rn−1f˚Rij]+Rn(n−1)[f˚Rij+Rnfgij]. |
In particular, by virtue of the second Bianchi identity, we have
Rjkim,m=Rij,k−Rik,j=Cijk, |
where, in the last equality, we used the formula (2.2) since the scalar curvature R is constant. Thus, we obtain
Δfij=−1n−1R[f˚Rij−Rn(n−1)fgij]+2f˚Rim˚Rmj+2(n−2)n(n−1)Rf˚Rij−2R2n2(n−1)fgij+2f˚RmkWmijk+2n−2[2f˚Rim˚Rmj−2n(n−1)Rf˚Rij−f|˚Rkl|2gij+Rn−1f˚Rij]+2Rn(n−1)[f˚Rij+Rnfgij]+fmCjmi+fm˚Rmi,j=2f˚RmkWmijk+2nn−2f˚Rim˚Rmj+R2n(n−1)2fgij−2n−2f|˚Rkl|2gij+1n−1Rf˚Rij+fmCjmi+fm˚Rmi,j, | (2.11) |
and the formula (2.8) is achieved.
From (1.2), we have
f˚Rij,k=fij,k−fk˚Rij+Rn(n−1)fkgij, | (2.12) |
fl˚Rij,k+f˚Rij,kl=fij,kl−fkl˚Rij−fk˚Rij,l+Rn(n−1)fklgij. | (2.13) |
Therefore,
fΔ˚Rij=f˚Rij,kk=Δfij−(Δf)˚Rij−2fk˚Rij,k+Rn(n−1)(Δf)gij=2f˚RmkWmijk+2nn−2f˚Rim˚Rmj−2n−2f|˚Rkl|2gij+fm(Cjmi+Cimj)+2Rn−1f˚Rij−fk˚Rij,k. | (2.14) |
The proof of Lemma 2.1 is completed.
Lemma 2.2. Let (Mn,g,f) be a vacuum static space with f satisfying (1.2). If flWlijk=0 (that is, zero radial Weyl curvature), then
12fΔ|˚Rij|2+12∇f∇|˚Rij|2=f˚R2ij,k+2fWmijk˚Rij˚Rmk+2nn−2f˚Rim˚Rmj˚Rji+n−2n−1f|Cijk|2+2Rn−1f|˚Rij|2. | (2.15) |
Proof Using (2.9), we have
12fΔ|˚Rij|2+12∇f∇|˚Rij|2=f˚R2ij,k+f˚RijΔ˚Rij+fk˚Rij˚Rij,k=f˚R2ij,k+2fWmijk˚Rij˚Rmk+2nn−2f˚Rim˚Rmj˚Rij+(Cjmi+Cimj)˚Rijfm+2Rn−1f|˚Rij|2=f˚R2ij,k+2fWmijk˚Rij˚Rmk+2nn−2f˚Rim˚Rmj˚Rji−2Cijk˚Rijfk+2Rn−1f|˚Rij|2. | (2.16) |
Since flWlijk=0, then (2.7) gives
fCijk=Tijk |
and
fCijk˚Rijfk=Tijk˚Rijfk=[n−1n−2(˚Rikfj−˚Rijfk)+1n−2(gik˚Rjl−gij˚Rkl)fl]˚Rijfk=nn−2˚Rki˚Rkjfifj−n−1n−2|˚Rij|2|∇f|2. | (2.17) |
On the other hand,
f2|Cijk|2=|Tijk|2=|n−1n−2(˚Rikfj−˚Rijfk)+1n−2(gik˚Rjl−gij˚Rkl)fl|2=−2n(n−1)(n−2)2˚Rki˚Rkjfifj+2(n−1)2(n−2)2|˚Rij|2|∇f|2. | (2.18) |
Combining (2.17) and (2.18), we achieve
−2(n−1)Cijk˚Rijfk=(n−2)f|Cijk|2. |
Thus, (2.16) becomes
12fΔ|˚Rij|2+12∇f∇|˚Rij|2=f˚R2ij,k+2fWmijk˚Rij˚Rmk+2nn−2f˚Rim˚Rmj˚Rji+n−2n−1f|Cijk|2+2Rn−1f|˚Rij|2, | (2.19) |
and the formula (2.15) is attained.
We also need the following lemma (see [9,13,14,21]):
Lemma 2.3. For any ρ∈R, the following estimate holds:
|−Wijkl˚Rjl˚Rik+ρn−2˚Rij˚Rjk˚Rki|≤√n−22(n−1)(|W|2+2ρ2n(n−2)|˚Rij|2)12|˚Rij|2. | (2.20) |
Multiplying both sides of (2.15) with f, we have
12f2Δ|˚Rij|2+12f∇f∇|˚Rij|2=f2˚R2ij,k+2f2Wmijk˚Rij˚Rmk+2nn−2f2˚Rim˚Rmj˚Rji+n−2n−1f2|Cijk|2+2Rn−1f2|˚Rij|2. | (3.1) |
Since the manifold is closed, then (3.1) together with (2.20) yields
12f2Δ|˚Rij|2+12f∇f∇|˚Rij|2≥f2(˚R2ij,k+n−2n−1|Cijk|2)+2f2[Rn−1−√n−22(n−1)(|W|2+2nn−2|˚Rij|2)12]|˚Rij|2. | (3.2) |
Therefore, under the assumption (1.3), it follows from (3.2) that
12f2Δ|˚Rij|2+12f∇f∇|˚Rij|2≥f2(˚R2ij,k+n−2n−1|Cijk|2)+2f2[Rn−1−√n−22(n−1)(|W|2+2nn−2|˚Rij|2)12]|˚Rij|2≥0, | (3.3) |
which shows that |˚Rij|2 is subharmonic on Mn. Using the maximum principle, we obtain that |˚Rij| is constant and ˚Rij,k=0. In this case, (3.3) becomes
[Rn−1−√n−22(n−1)(|W|2+2nn−2|˚Rij|2)12]|˚Rij|2=0. | (3.4) |
If there exists a point x0 such that (1.3) is strict, then from (3.4) we have |˚Rij|(x0)=0, which with |˚Rij| constant shows that ˚Rij≡0. That is, the metric is Einstein and the proof of Theorem 1.1 is completed.
We recall the following inequality, which was first proved by Huisken (cf. [16, Lemma 3.4]):
|Wikjl˚Rij˚Rkl|≤√n−22(n−1)|W||˚Rij|2 | (3.5) |
and
|˚Rij˚Rjk˚Rki|≤n−2√n(n−1)|˚Rij|3, | (3.6) |
with the equality in (3.6) at some point p∈M if, and only if, ˚Rij can be diagonalized at p and the eigenvalue multiplicity of ˚Rij is at least n−1 [12,22]. Thus, from (2.15), we obtain
12f2Δ|˚Rij|2+12f∇f∇|˚Rij|2≥f2(˚R2ij,k+n−2n−1|Cijk|2−√2(n−2)n−1|W||˚Rij|2−2√nn−1|˚Rij|3+2Rn−1|˚Rij|2)=f2(˚R2ij,k+n−2n−1|Cijk|2)+2f2(Rn−1−√n−22(n−1)|W|−√nn−1|˚Rij|)|˚Rij|2. |
Similarly, under the assumption (1.4), we obtain
12f2Δ|˚Rij|2+12f∇f∇|˚Rij|2≥f2(˚R2ij,k+n−2n−1|Cijk|2)+2f2(Rn−1−√n−22(n−1)|W|−√nn−1|˚Rij|)|˚Rij|2≥0, | (3.7) |
which shows that |˚Rij|2 is subharmonic on Mn. Using the maximum principle again, we obtain that |˚Rij| is constant and ˚Rij,k=0. In this case, (3.7) becomes
(Rn−1−√n−22(n−1)|W|−√nn−1|˚Rij|)|˚Rij|2=0 | (3.8) |
and the equalities in (3.5) and (3.6) occur.
In particular, writing ˚Rij=agij+bvivj at p with some scalars a,b and a vector v, we see that the left hand side of (3.5) is zero [12] at every point p. As (3.5) is an equality and, according to [7], g is real-analytic, the metric g must be conformally flat or Einstein.
If there exists a point x0 such that (1.4) is strict, then from (3.8) we have |˚Rij|(x0)=0. Which with |˚Rij| constant shows that ˚Rij≡0 and the metric is Einstein. Otherwise, we have that the equality in (1.4) occurs and
√(n−1)(n−2)2|W|+√n(n−1)|˚Rij|=R. | (3.9) |
In this case, we have W=0 and (3.9) becomes |˚Rij|=R√n(n−1), and then Mn=S1×Sn−1 [5].
Therefore, we complete the proof of Theorem 1.2.
The aim of this paper is to study rigidity results for closed vacuum static spaces. The main tool is to apply the maximum principle to the function |˚Rij|2 since the manifolds are closed. More precisely, we obtain rigidity theorems by establishing some pointwise inequalities and applying the maximum principle, which further proves that the squared norm of the Ricci curvature tensor is discrete.
The authors declare that they have not used Artificial Intelligence (AI) tools in the creation of this article.
The authors would like to thank the referee for valuable suggestions, which made the paper more readable. The research of the authors is supported by NSFC(No. 11971153) and Key Scientific Research Project for Colleges and Universities in Henan Province (No. 23A110007).
The authors declare no conflicts of interest.
[1] |
S. Bansal, L. A. Meyers, The impact of past epidemics on future disease dynamics, J. Theor. Biol., 309 (2012), 176–184. https://doi.org/10.1016/j.jtbi.2012.06.012 doi: 10.1016/j.jtbi.2012.06.012
![]() |
[2] |
V. J. Cirillo, "Winged Sponges": Houseflies as carriers of typhoid fever in 19th-and early 20th-century military camps, Perspect. Biol. Med., 49 (2006), 52–63. https://doi.org/10.1353/pbm.2006.0005 doi: 10.1353/pbm.2006.0005
![]() |
[3] |
B. Chala, F. Hamde, Emerging and re-emerging vector-borne infectious diseases and the challenges for control: A review, Front. Public Health, 9 (2021), 715759. https://doi.org/10.3389/fpubh.2021.715759 doi: 10.3389/fpubh.2021.715759
![]() |
[4] |
A. Flahault, R. R. de Castaneda, I. Bolon, Climate change and infectious diseases, Public Health Rev., 37 (2016), 21. https://doi.org/10.1186/s40985-016-0035-2 doi: 10.1186/s40985-016-0035-2
![]() |
[5] |
B. Traore, O. Koutou, B. Sangare, A global mathematical model of malaria transmission dynamics with structured mosquito population and temperature variations, Nonlinear Anal. Real World Appl., 53 (2020), 103081. https://doi.org/10.1016/j.nonrwa.2019.103081 doi: 10.1016/j.nonrwa.2019.103081
![]() |
[6] |
L. J. Nunes, The rising threat of atmospheric CO2: A review on the causes, impacts, and mitigation strategies, Environments, 10 (2023), 66. https://doi.org/10.3390/environments10040066 doi: 10.3390/environments10040066
![]() |
[7] |
N. P. Gillett, M. Kirchmeier-Young, A. Ribes, H. Shiogama, G. C. Hegerl, R. Knutti, et al., Constraining human contributions to observed warming since the pre-industrial period, Nat. Clim. Change, 11 (2021), 207–212. https://doi.org/10.1038/s41558-020-00965-9 doi: 10.1038/s41558-020-00965-9
![]() |
[8] |
M. Baylis, Potential impact of climate change on emerging vector-borne and other infections in the UK, Environ. Health, 16 (2017), 112. https://doi.org/10.1186/s12940-017-0326-1 doi: 10.1186/s12940-017-0326-1
![]() |
[9] |
S. Bahrndorff, A. Ruiz-Gonzalez, N. De Jonge, J. L. Nielsen, H. Skovgard, C. Pertoldi, Integrated genome-wide investigations of the housefly, a global vector of diseases reveal unique dispersal patterns and bacterial communities across farms, BMC Genomics, 21 (2020), 66. https://doi.org/10.1186/s12864-020-6445-z doi: 10.1186/s12864-020-6445-z
![]() |
[10] |
F. M. Chikezie, K. N. Opara, P. M. E. Ubulom, Impacts of changing climate on arthropod vectors and diseases transmission, Niger. J. Entomol., 40 (2024), 179–192. https://doi.org/10.36108/NJE/4202/04.0161 doi: 10.36108/NJE/4202/04.0161
![]() |
[11] |
L. Francuski, W. Jansen, L. W. Beukeboom, Effect of temperature on egg production in the common housefly, Entomol. Exp. Appl., 168 (2020), 513–522. https://doi.org/10.1111/eea.12912 doi: 10.1111/eea.12912
![]() |
[12] |
P. J. Edelson, R. Harold, J. Ackelsberg, J. S. Duchin, S. J. Lawrence, Y. C. Manabe, et al., Climate change and the epidemiology of infectious diseases in the United States, Clin. Infect. Dis., 76 (2023), 950–956. https://doi.org/10.1093/cid/ciac697 doi: 10.1093/cid/ciac697
![]() |
[13] |
H. Skovgard, G. Nachman, Temperature-and age-dependent survival, development, and oviposition rates of the pupal parasitoid spalangia cameroni (Hymenoptera: Pteromalidae), Environ. Entomol., 45 (2016), 1063–1075. https://doi.org/10.1093/ee/nvw055 doi: 10.1093/ee/nvw055
![]() |
[14] |
C. J. Geden, H. Biale, E. Chiel, D. M. Johnson, Effect of fluctuating high temperatures on house flies (Diptera: Muscidae) and their principal parasitoids (Muscidifurax spp. and Spalangia spp. [Hymenoptera: Pteromalidae]) from the United States, J. Med. Entomol., 56 (2019), 1650–1660. https://doi.org/10.1093/jme/tjz080 doi: 10.1093/jme/tjz080
![]() |
[15] |
R. W. Sutherst, Global change and human vulnerability to vector-borne diseases, Clin. Microbiol. Rev., 17 (2004), 136–173. https://doi.org/10.1128/CMR.17.1.136-173.2004 doi: 10.1128/CMR.17.1.136-173.2004
![]() |
[16] |
C. Caminade, K. M. McIntyre, A. E. Jones, Impact of recent and future climate change on vector-borne diseases, Ann. N. Y. Acad. Sci., 1436 (2019), 157–173. https://doi.org/10.1111/nyas.13950 doi: 10.1111/nyas.13950
![]() |
[17] |
H. Van Den Berg, M. Zaim, R. S. Yadav, A. Soares, B. Ameneshewa, A. Mnzava, et al., Global trends in the use of insecticides to control vector-borne diseases, Environ. Health Perspect., 120 (2012), 577–582. https://doi.org/10.1289/ehp.1104340 doi: 10.1289/ehp.1104340
![]() |
[18] |
H. Van Den Berg, R. Velayudhan, R. S. Yadav, Management of insecticides for use in disease vector control: Lessons from six countries in Asia and the Middle East, PLoS Negl. Trop. Dis., 15 (2021), e0009358. https://doi.org/10.1371/journal.pntd.0009358 doi: 10.1371/journal.pntd.0009358
![]() |
[19] | A. M. Mohanrao, Extension guidelines for pest/vector management in human habitations, MANAGE, (2019). Available from: https://nirdpr.org.in/nird_docs/other/Extension_guidelines_Pests_Rodents_Management.pdf. |
[20] |
N. C. Hinkle, J. A. Hogsette, A review of alternative controls for house flies, Insects, 12 (2021), 1042. https://doi.org/10.3390/insects12111042 doi: 10.3390/insects12111042
![]() |
[21] |
K. Karunamoorthi, S. Sabesan, Insecticide resistance in insect vectors of disease with special reference to mosquitoes: A potential threat to global public health, Health Scope, 2 (2013), 4–18. https://doi.org/10.17795/jhealthscope-9840 doi: 10.17795/jhealthscope-9840
![]() |
[22] |
M. Ghosh, P. Chandra, P. Sinha, J. B. Shukla, Modelling the spread of carrier-dependent infectious diseases with environmental effect, Appl. Math. Comput., 152 (2004), 385–402. https://doi.org/10.1016/S0096-3003(03)00564-2 doi: 10.1016/S0096-3003(03)00564-2
![]() |
[23] |
P. Das, D. Mukherjee, A. K. Sarkar, Study of a carrier dependent infectious disease-cholera, J. Biol. Syst., 13 (2005), 233–244. https://doi.org/10.1142/S0218339005001495 doi: 10.1142/S0218339005001495
![]() |
[24] |
R. Naresh, S. Pandey, A. K. K. Misra, Analysis of a vaccination model for carrier dependent infectious diseases with environmental effects, Nonlinear Anal.: Model. Control, 13 (2008), 331–350. https://doi.org/10.15388/NA.2008.13.3.14561 doi: 10.15388/NA.2008.13.3.14561
![]() |
[25] |
X. Z. Li, W. S. Li, M. Ghosh, Stability and bifurcation of an SIS epidemic model with treatment, Chaos, Solitons Fractals, 42 (2009), 2822–2832. https://doi.org/10.1016/j.chaos.2009.04.024 doi: 10.1016/j.chaos.2009.04.024
![]() |
[26] |
D. Kalajdzievska, M. Y. Li, Modeling the effects of carriers on transmission dynamics of infectious diseases, Math. Biosci. Eng., 8 (2011), 711–722. https://doi.org/10.3934/mbe.2011.8.711 doi: 10.3934/mbe.2011.8.711
![]() |
[27] |
J. B. Shukla, V. Singh, A. K. Misra, Modeling the spread of an infectious disease with bacteria and carriers in the environment, Nonlinear Anal. Real World Appl., 12 (2011), 2541–2551. https://doi.org/10.1016/j.nonrwa.2011.03.003 doi: 10.1016/j.nonrwa.2011.03.003
![]() |
[28] |
A. K. Misra, V. Singh, A delay mathematical model for the spread and control of water borne diseases, J. Theor. Biol., 301 (2012), 49–56. https://doi.org/10.1016/j.jtbi.2012.02.006 doi: 10.1016/j.jtbi.2012.02.006
![]() |
[29] |
R. K. Gupta, R. K. Rai, P. K. Tiwari, A. K. Misra, M. Martcheva, A mathematical model for the impact of disinfectants on the control of bacterial diseases, J. Biol. Dyn., 17 (2023), 2206859. https://doi.org/10.1080/17513758.2023.2206859 doi: 10.1080/17513758.2023.2206859
![]() |
[30] |
D. Bolatova, S. Kadyrov, A. Kashkynbayev, Mathematical modeling of infectious diseases and the impact of vaccination strategies, Math. Biosci. Eng., 21 (2024), 7103–7123. https://doi.org/10.3934/mbe.2024314 doi: 10.3934/mbe.2024314
![]() |
[31] |
A. K. Misra, A. Gupta, E. Venturino, Modeling biological control of carrier-dependent infectious diseases, Comput. Math. Methods, 3 (2021), e1127. https://doi.org/10.1002/cmm4.1127 doi: 10.1002/cmm4.1127
![]() |
[32] |
L. Liu, X. Wang, Y. Li, Mathematical analysis and optimal control of an epidemic model with vaccination and different infectivity, Math. Biosci. Eng., 20 (2023), 20914–20938. https://doi.org/10.3934/mbe.2023925 doi: 10.3934/mbe.2023925
![]() |
[33] | R. Naresh, S. R. Verma, J. B. Shukla, M. Agarwal, Modeling the effect of sanitation effort on the spread of carrier-dependent infectious diseases due to environmental degradation, Appl. Appl. Math., 18 (2023). |
[34] |
S. Singh, P. Chandra, J. B. Shukla, Modeling and analysis of the spread of carrier dependent infectious diseases with environmental effects, J. Biol. Syst., 11 (2003), 325–335. https://doi.org/10.1142/S0218339003000877 doi: 10.1142/S0218339003000877
![]() |
[35] |
A. K. Misra, S. N. Mishra, A. L. Pathak, P. K. Srivastava, P. Chandra, A mathematical model for the control of carrier-dependent infectious diseases with direct transmission and time delay, Chaos, Solitons Fractals, 57 (2013), 41–53. https://doi.org/10.1016/j.chaos.2013.08.002 doi: 10.1016/j.chaos.2013.08.002
![]() |
[36] |
K. Lata, S. N. Mishra, A. K. Misra, An optimal control problem for carrier dependent diseases, Biosystems, 187 (2020) 104039. https://doi.org/10.1016/j.biosystems.2019.104039 doi: 10.1016/j.biosystems.2019.104039
![]() |
[37] |
A. K. Misra, A. Jha, Modeling the effect of population pressure on the dynamics of carbon dioxide gas, J. Appl. Math. Comput., 67 (2021), 623–640. https://doi.org/10.1007/s12190-020-01492-8 doi: 10.1007/s12190-020-01492-8
![]() |
[38] | J. K. Hale, Ordinary Differential Equations, Wiley–Interscience, 1969. |
[39] |
H. I. Freedman, J. W. H. So, Global stability and persistence of simple food chains, Math. Bio., 76 (1985), 69–86. https://doi.org/10.1016/0025-5564(85)90047-1 doi: 10.1016/0025-5564(85)90047-1
![]() |
[40] |
G. Agrawal, A. K. Agrawal, J. Dhar, A. K. Misra, Modeling the impact of cloud seeding to rescind the effect of atmospheric pollutants on natural rainfall, Model. Earth Syst. Environ., 10 (2024), 1573–1588. https://doi.org/10.1007/s40808-023-01854-8 doi: 10.1007/s40808-023-01854-8
![]() |
[41] | G. Agrawal, A. K. Agrawal, J. Dhar, Effects of human population and atmospheric pollution on rainfall: A modeling study, J. Indian Math. Soc., 91 (2024), 550–564. |
[42] |
G. Agrawal, A. K. Agrawal, A. K. Misra, Modeling the impacts of chemical substances and time delay to mitigate regional atmospheric pollutants and enhance rainfall, Phys. D: Nonlinear Phenom., 472 (2025), 134507. https://doi.org/10.1016/j.physd.2024.134507 doi: 10.1016/j.physd.2024.134507
![]() |
[43] |
T. K. Kar, A. Batabyal, Stability analysis and optimal control of an SIR epidemic model with vaccination, Biosystems, 104 (2011), 127–135. https://doi.org/10.1016/j.biosystems.2011.02.001 doi: 10.1016/j.biosystems.2011.02.001
![]() |
[44] |
T. K. Kar, S. Jana, A theoretical study on mathematical modelling of an infectious disease with application of optimal control, Biosystems, 111 (2013), 37–50. https://doi.org/10.1016/j.biosystems.2012.10.003 doi: 10.1016/j.biosystems.2012.10.003
![]() |
[45] |
S. Singh, Modeling the effect of global warming on the spread of carrier dependent infectious diseases, Model. Earth Syst. Environ., 3 (2017), 39. https://doi.org/10.1007/s40808-017-0292-1 doi: 10.1007/s40808-017-0292-1
![]() |
[46] | D. L. Lukes, Differential Equations: Classical to Control, Academic Press, 1982. |
[47] | W. H. Fleming, R. W. Rishel, Deterministic and Stochastic Optimal Control, Springer-Verlag, 1975. |
[48] | L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishchenko, The Mathematical Theory of Optimal Processes, Wiley, 1962. |
[49] | S. Lenhart, J. T. Workman, Optimal Control Applied to Biological Models, CRC Press, 2007. https://doi.org/10.1201/9781420011418 |
[50] | M. Martcheva, An Introduction to Mathematical Epidemiology, Springer, 2015. https://doi.org/10.1007/978-1-4899-7612-3 |
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