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Climate Change and Malaria: A Call for Robust Analytics

Laydon, D. J.; Smith, D. L.; Chakradeo, K.; Khurana, M. P.; Okiring, J.; Duchene, D. A.; Bhatt, S.

2024-11-07 epidemiology
10.1101/2024.09.16.24313623 medRxiv
Show abstract

Mosquitoes display marked sensitivity to weather, particularly temperature and precipitation. Therefore, climate change is expected to profoundly affect malaria epidemiology in its transmission, spatiotemporal distribution and consequent disease burden. However, malaria transmission is also complicated by other factors (e.g. urbanization, socioeconomic development, genetics, drug resistance) which together constitute a highly complex, dynamical system, where the influence of any single factor can be masked by others. In this study, we aim to re-evaluate the evidence underlying the widespread belief that climate change will increase worldwide malaria transmission. We review two broad types of study that have contributed to this evidence-base: i) studies that project changes in transmission due to inferred relationships between environment and mosquito entomology, and ii) regression-based studies that look for associations between environmental variables and malaria prevalence. We then employ a simple statistical model to show that environmental variables alone do not account for the observed spatiotemporal variation in malaria prevalence. Our review raises concerns regarding the relationship between climate change and malaria. We find that, while climate changes effect on malaria is highly plausible, empirical evidence is much less certain. Future research on climate change and malaria must become integrated into malaria control programs, and understood in context as one factor among many. Our work outlines gaps in modelling that we believe are priorities for future research.

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