TY - JOUR
T1 - Mathematics of a single-locus model for assessing the impacts of pyrethroid resistance and temperature on population abundance of malaria mosquitoes
AU - Brozak, Samantha J.
AU - Mohammed-Awel, Jemal
AU - Gumel, Abba B.
N1 - Funding Information:
The wide-scale use of insecticide-based malaria control interventions, notably indoor residual spraying (IRS), larvicides, and the use of pyrethroid-based insecticide-treated bednets (ITNs, later replaced by long-lasting insecticidal nets (LLINs)), during the period 2000 to 2020, has resulted in a dramatic reduction in malaria burden (data from the World Health Organization shows that over 10.6 million malaria deaths may have been averted during this period (World Health Organization, 2021a, 2021b, 2021c)), prompting renewed efforts, such as Zero by 40 (an initiative of five chemical companies with the support of the Bill and Melinda Gates Foundation and the Innovative Vector Control Consortium (Innovative Vector Control Consortium, 2022)) and The Global Technical Strategy for Malaria 2016–2030 initiative (approved by the World Health Assembly in May 2015 (World Health Organization, 2021a, 2021b, 2021c)). Specifically, the wide-scale use of insecticide-based interventions (in particular, LLINs (Bhatt et al., 2015)) had a major role in averting 10.6 million deaths (largely in the WHO African Region) from 2000 to 2020 (World Health Organization, 2021a, 2021b, 2021c). Unfortunately, despite these successes, malaria remains a major public health problem for about half of the world's population (who live in geographies that permit the local transmission of Plasmodium falciparum, the parasite responsible for the most life-threatening form of malaria (Gething et al., 2011)). This is due to a number of factors, including Anopheles resistance to all chemical agents currently used in IRS, larvicides, and LLINs (World Health Organization, 2021a, 2021b, 2021c; Ranson & Lissenden, 2016; Corbel et al., 2007; N'Guessan et al., 2007), climate change (Bayoh, 2001; Bayoh & Lindsay, 2003, 2004; Eikenberry & Gumel, 2018; Mordecai et al., 2013; Okuneye & Gumel, 2017; Okuneye et al., 2018), Plasmodium resistance to drug therapy (World Health Organization, 2021a, 2021b, 2021c), etc. Mosquitoes are said to be resistant to an insecticide if the insecticide's ability to kill the mosquitoes upon contact with the insecticide is either greatly reduced or eliminated altogether (Innovative Vector Control Consortium, 2022). Furthermore, insecticide resistance inflicts fitness costs for these mosquitoes (e.g., with respect to survival, development, fecundity, host-seeking, biting etc.) (Alout et al., 2016; Alout et al., 2017; Djogbénou et al., 2010; Platt et al., 2015), making it critical to investigate the balance between controlling the abundance of the mosquito population using insecticide-based interventions, and effectively managing the evolution and spread of insecticide resistance in the mosquito population. This formed the objective of this study.ABG acknowledges the support, in part, of the Simons Foundation (Award #585022) and the National Science Foundation (DMS-2052363). JM-A acknowledges the support, in part, of the National Science Foundation (DMS-2052355 (transferred to DMS-2221794)). The authors are grateful to the anonymous reviewers for their very constructive comments.
Funding Information:
ABG acknowledges the support, in part, of the Simons Foundation (Award #585022 ) and the National Science Foundation ( DMS-2052363 ). JM-A acknowledges the support, in part, of the National Science Foundation ( DMS-2052355 (transferred to DMS-2221794 )). The authors are grateful to the anonymous reviewers for their very constructive comments.
Publisher Copyright:
© 2022 The Authors
PY - 2022/9
Y1 - 2022/9
N2 - This study presents a genetic-ecology modeling framework for assessing the combined impacts of insecticide resistance, temperature variability, and insecticide-based interventions on the population abundance and control of malaria mosquitoes by genotype. Rigorous analyses of the model we developed reveal that the boundary equilibrium with only mosquitoes of homozygous sensitive (resistant) genotype is locally-asymptotically stable whenever a certain ecological threshold, denoted by R0SS(R0RR), is less than one. Furthermore, genotype i drives genotype j to extinction whenever R0j>1 and R0i<1 (where i, j = SS or RR, with i ≠ j). The model exhibits the phenomenon of bistability when both thresholds are less than one. In such a bistable situation, convergence to any of the two boundary equilibria depends on the initial allele distribution in the state variables of the model. Furthermore, in this bistable case, where max{R0SS,R0RR}<1, the basin of attraction of the boundary equilibrium of the mosquito genotype with lower value of the ecological threshold is larger. Specifically, the basin of attraction of the boundary equilibrium for genotype i is larger than that of genotype j if R0i<R0j<1. When both ecological thresholds exceed one (min{R0SS,R0RR}>1), the two boundary equilibria lose their stability, and a coexistence equilibrium (where all three mosquito genotypes coexist) becomes locally-asymptotically stable. Global sensitivity analysis shows that the key parameters that greatly influence the dynamics and population abundance of resistant mosquitoes include the proportion of new adult mosquitoes that are females, the insecticide-induced mortality rate of adult female mosquitoes, the coverage level and efficacy of adulticides used in the community, the oviposition rates for eggs of heterozygous and homozygous resistant genotypes, and the modification parameter accounting for the reduction in insecticide-induced mortality due to resistance. Numerical simulations show that the adult mosquito population increases with increasing temperature until a peak is reached at 31 °C, and declines thereafter. Simulating the model for moderate and high adulticide coverage, together with varying fitness costs of resistance, shows a switch in the dominant genotype at equilibrium as temperature is varied. In other words, this study shows that, for certain combinations of adulticide coverage and fitness costs of insecticide resistance, increases in temperature could result in effective management of resistance (by causing the switch from a stable resistant-only boundary equilibrium (at 18 °C) to a stable sensitive-only boundary equilibrium (at 25 °C)). Finally, this study shows that, for moderate fitness costs of resistance, density-dependent larval mortality suppresses the total population of adult mosquitoes with the resistant allele for all temperature values in the range [18 °C–36 °C].
AB - This study presents a genetic-ecology modeling framework for assessing the combined impacts of insecticide resistance, temperature variability, and insecticide-based interventions on the population abundance and control of malaria mosquitoes by genotype. Rigorous analyses of the model we developed reveal that the boundary equilibrium with only mosquitoes of homozygous sensitive (resistant) genotype is locally-asymptotically stable whenever a certain ecological threshold, denoted by R0SS(R0RR), is less than one. Furthermore, genotype i drives genotype j to extinction whenever R0j>1 and R0i<1 (where i, j = SS or RR, with i ≠ j). The model exhibits the phenomenon of bistability when both thresholds are less than one. In such a bistable situation, convergence to any of the two boundary equilibria depends on the initial allele distribution in the state variables of the model. Furthermore, in this bistable case, where max{R0SS,R0RR}<1, the basin of attraction of the boundary equilibrium of the mosquito genotype with lower value of the ecological threshold is larger. Specifically, the basin of attraction of the boundary equilibrium for genotype i is larger than that of genotype j if R0i<R0j<1. When both ecological thresholds exceed one (min{R0SS,R0RR}>1), the two boundary equilibria lose their stability, and a coexistence equilibrium (where all three mosquito genotypes coexist) becomes locally-asymptotically stable. Global sensitivity analysis shows that the key parameters that greatly influence the dynamics and population abundance of resistant mosquitoes include the proportion of new adult mosquitoes that are females, the insecticide-induced mortality rate of adult female mosquitoes, the coverage level and efficacy of adulticides used in the community, the oviposition rates for eggs of heterozygous and homozygous resistant genotypes, and the modification parameter accounting for the reduction in insecticide-induced mortality due to resistance. Numerical simulations show that the adult mosquito population increases with increasing temperature until a peak is reached at 31 °C, and declines thereafter. Simulating the model for moderate and high adulticide coverage, together with varying fitness costs of resistance, shows a switch in the dominant genotype at equilibrium as temperature is varied. In other words, this study shows that, for certain combinations of adulticide coverage and fitness costs of insecticide resistance, increases in temperature could result in effective management of resistance (by causing the switch from a stable resistant-only boundary equilibrium (at 18 °C) to a stable sensitive-only boundary equilibrium (at 25 °C)). Finally, this study shows that, for moderate fitness costs of resistance, density-dependent larval mortality suppresses the total population of adult mosquitoes with the resistant allele for all temperature values in the range [18 °C–36 °C].
KW - Equilibria
KW - Genotype
KW - Insecticide resistance
KW - Malaria
KW - Population genetics
KW - Pyrethroid
UR - http://www.scopus.com/inward/record.url?scp=85132552164&partnerID=8YFLogxK
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U2 - 10.1016/j.idm.2022.05.007
DO - 10.1016/j.idm.2022.05.007
M3 - Article
AN - SCOPUS:85132552164
SN - 2468-0427
VL - 7
SP - 277
EP - 316
JO - Infectious Disease Modelling
JF - Infectious Disease Modelling
IS - 3
ER -