Simulation and visualization of malaria transmission In West Africa

This thesis consists of a simulation-based study and a data visualization framework development focusing on malaria transmission in West Africa. The simulation-based study introduces the concept of hysteresis in malaria transmission, which is defined as the dependence of malaria transmission on initial conditions of the system, characterizing the dry season. The simulation results confirm that the hysteresis effect does exist in malaria transmission demonstrated in the significant effects of initial prevalence and immunity level of the population. The persistence of the hysteresis effect is stronger in a relatively high transmission environment than in low transmission environments. In addition, the study highlights the importance of sustainable malaria control and resource allocation in the reduction of malaria transmission. It illustrates that exposure-reduction malaria control programs like the distribution of insecticide-treated nets (ITNs) will result in a loss of acquired immunity for the population. If the ITN coverage is discontinued after a period of time, relatively strong malaria resurgence will occur. This thesis also presents a web-based mapping and visualization tool for spatio-temporal data like malaria transmission predictions. The framework is developed using open source software and is not only interactive but also web-based; hence, it can deliver spatio-temporal data to the public more effectively than traditional applications. The tool contains the following two main components: the visualization interface and the interactive maps. When the user interacts with the tool, such as clicking on the map, relevant graphics and numerical data will be requested and displayed in the visualization interface. The interactive map, facilitated by animation controls, allows users to view map animations and explore how different climate and malaria transmission data changes over time and space. The visualization framework itself is customizable and has also been used to publish and visualize temperature projections in Southwest Asia.

Department dc:contributor.department

Massachusetts Institute of Technology. Computation for Design and Optimization Program.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Qiu, Xin, S.M. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Elfatih A. B. Eltahir.

• Computation for Design and Optimization Program.

Statement dc:rights

• M.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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/104560

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/104560