dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Karssenberg, D. | |
dc.contributor.author | Kerklaan, C.M.J. | |
dc.date.accessioned | 2018-10-07T17:01:33Z | |
dc.date.available | 2018-10-07T17:01:33Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/37832 | |
dc.description.abstract | Many mapping efforts have been made to decrease the malaria burden on the
world’s population. High resolution spatial knowledge of malaria could increase the
effectivity of malaria control and prevention which is especially useful for resource
limited countries. In this study, 30 meter resolution malaria transmission suitability
maps and exposure changes from 2001 to 2013 in Uganda are computed by using 6
predictor variables representing water proximity, water depth, water extent, temporal
water, population density and air temperature. The latter four predictor variables
show the strongest relations with malaria incidence rates. Furthermore, decreases in
exposure to malaria over time have been noted. The decrease is associated with the
urbanization in Uganda. While many agree that an increase in population causes a
decrease in malaria transmission intensity, questions about the roles of wealth, institutions
and population density remain and have to be addressed in future research. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 5963054 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Mapping Plasmodium falciparum between 2000 and 2013 in
Uganda on a 30 meter spatial resolution scale using
environmental and spatial dependencies of malaria
transmission | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Malaria, high resolution mapping, transmission, Uganda, JRC Open Surface water | |
dc.subject.courseuu | Earth Surface and Water | |