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dc.contributor.advisorElfatih A. B. Eltahir.en_US
dc.contributor.authorYamana, Teresa K. (Teresa Keiko)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.coverage.spatialf------en_US
dc.date.accessioned2015-07-17T19:11:52Z
dc.date.available2015-07-17T19:11:52Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/97756
dc.descriptionThesis: Ph. D. in the Field of Hydrology, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 275-297).en_US
dc.description.abstractMalaria transmission in West Africa is closely tied to climate, as rain fed water pools provide breeding habitat for the anopheles mosquito vector, and temperature affects the mosquito's ability to spread disease. This thesis presents a framework of highly detailed, spatially explicit mechanistic modelling to explore the relationships between the environment and malaria in the current and future climate of West Africa. A mechanistic model of human immunity was incorporated into an existing agent-based model of malaria transmission, allowing us to move beyond entomological measures such as mosquito density and vectorial capacity to analyzing the prevalence of the malaria parasite within human populations. The result is a novel modelling tool that mechanistically simulates all of the key processes linking environment to malaria transmission. Simulations were conducted across climate zones in West Africa, linking temperature and rainfall to entomological and epidemiological variables with a focus on nonlinearities due to threshold effects and interannual variability. Comparisons to observations from the region confirmed that the model provides a reasonable representation of the entomological and epidemiological conditions in this region. While current generation climate models agree that mean temperatures in West Africa will likely increase by 2 to 4° C in the future by the end of the 21st century, they disagree on the magnitude and the direction of the change in rainfall. We analyzed the performance of CMIP5 climate models in simulating West African rainfall and temperature before selecting the most credible predictions of future climate. We used these predictions to simulate the expected change in malaria transmission in sensitive regions of West Africa. We found that the western subregion of West Africa is likely to become drier in the coming decades. The warmer temperatures will shorten mosquito life spans, and the drying will limit mosquito reproduction. As a result, we expect malaria transmission in this region to decrease. However, the eastern half of the region is expected to become wetter. In some areas, the positive effects of increased rainfall on mosquito reproduction may surpass the negative effects of high temperatures on mosquito longevity, leading to a small net increase in environmental suitability for malaria transmission.en_US
dc.description.statementofresponsibilityby Teresa K. Yamana.en_US
dc.format.extent297 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleMechanistic modelling of the links between environment, mosquitoes and malaria transmission in the current and future climates of West Africaen_US
dc.typeThesisen_US
dc.description.degreePh. D. in the Field of Hydrologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc911935853en_US


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