Predicting the direct and indirect impacts of climate change on malaria in coastal Kenya

Phong V.V. Le, Praveen Kumar, Marilyn O. Ruiz, Charles Mbogo, Ephantus J. Muturi

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Background The transmission of malaria is highly variable and depends on a range of climatic and anthropogenic factors. This study investigates the combined, i.e. direct and indirect, impacts of climate change on the dynamics of malaria through modifications in: (i) the sporogonic cycle of Plasmodium induced by air temperature increase, and (ii) the life cycle of Anopheles vector triggered by changes in natural breeding habitat arising from the altered moisture dynamics resulting from acclimation responses of vegetation under climate change. The study is performed for a rural region in Kilifi county, Kenya. Methods and findings We use a stochastic lattice-based malaria (SLIM) model to make predictions of changes in Anopheles vector abundance, the life cycle of Plasmodium parasites, and thus malaria transmission under projected climate change in the study region. SLIM incorporates a nonlinear temperature-dependence of malaria parasite development to estimate the extrinsic incubation period of Plasmodium. It is also linked with a spatially distributed eco-hydrologic modeling framework to capture the impacts of climate change on soil moisture dynamics, which served as a key determinant for the formation and persistence of mosquito larval habitats on the land surface. Malaria incidence data collected from 2008 to 2013 is used for SLIM model validation. Projections of climate change and human population for the region are used to run the models for prediction scenarios. Under elevated atmospheric CO 2 concentration ([CO 2 ]) only, modeled results reveal wetter soil moisture in the root zone due to the suppression of transpiration from vegetation acclimation, which increases the abundance of Anopheles vectors and the risk of malaria. When air temperature increases are also considered along with elevated [CO 2 ], the life cycle of Anopheles vector and the extrinsic incubation period of Plasmodium parasites are shortened nonlinearly. However, the reduction of soil moisture resulting from higher evapotranspiration due to air temperature increase also reduces the larval habitats of the vector. Our findings show the complicated role of vegetation acclimation under elevated [CO 2 ] on malaria dynamics and indicate an indirect but ignored impact of air temperature increase on malaria transmission through reduction in larval habitats and vector density. Conclusions Vegetation acclimation triggered by elevated [CO 2 ] under climate change increases the risk of malaria. In addition, air temperature increase under climate change has opposing effects on mosquito larval habitats and the life cycles of both Anopheles vectors and Plasmodium parasites. The indirect impacts of temperature change on soil moisture dynamics are significant and should be weighed together with the direct effects of temperature change on the life cycles of mosquitoes and parasites for future malaria prediction and control.

Original languageEnglish
Article numbere0211258
JournalPLoS ONE
Volume14
Issue number2
DOIs
StatePublished - Feb 2019
Externally publishedYes

Funding

PVVL and PK was funded by National Science Foundation (https://www.nsf.gov) grants CBET1209402, ACI 1261582, ACI 1429699, EAR 1331906, and EAR 1417444. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This work was supported by National Science Foundation (NSF) grants CBET1209402, ACI 1261582, EAR 1331906, and EAR 1417444. The work also used the ROGER supercomputer, which is supported by NSF grant number ACI 1429699. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity provider and employer.

FundersFunder number
U.S. Department of Agriculture
National Science Foundation1261582, 1331906, 1417444, 1429699, CBET1209402

    Fingerprint

    Dive into the research topics of 'Predicting the direct and indirect impacts of climate change on malaria in coastal Kenya'. Together they form a unique fingerprint.

    Cite this