uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
The Impact of Human Mobility on HIV Transmission in Kenya
Univ Dar Es Salaam, Dept Math, Dar Es Salaam, Tanzania..
Univ Dar Es Salaam, Dept Math, Dar Es Salaam, Tanzania..
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
2015 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 10, no 11, e0142805Article in journal (Refereed) PublishedText
Abstract [en]

Disease spreads as a result of people moving and coming in contact with each other. Thus the mobility patterns of individuals are crucial in understanding disease dynamics. Here we study the impact of human mobility on HIV transmission in different parts of Kenya. We build an SIR metapopulation model that incorporates the different regions within the country. We parameterise the model using census data, HIV data and mobile phone data adopted to track human mobility. We found that movement between different regions appears to have a relatively small overall effect on the total increase in HIV cases in Kenya. However, the most important consequence of movement patterns was transmission of the disease from high infection to low prevalence areas. Mobility slightly increases HIV incidence rates in regions with initially low HIV prevalences and slightly decreases incidences in regions with initially high HIV prevalence. We discuss how regional HIV models could be used in public-health planning. This paper is a first attempt to model spread of HIV using mobile phone data, and we also discuss limitations to the approach.

Place, publisher, year, edition, pages
2015. Vol. 10, no 11, e0142805
National Category
URN: urn:nbn:se:uu:diva-274307DOI: 10.1371/journal.pone.0142805ISI: 000365862600019OAI: oai:DiVA.org:uu-274307DiVA: diva2:896232
Available from: 2016-01-20 Created: 2016-01-20 Last updated: 2016-01-20Bibliographically approved

Open Access in DiVA

fulltext(2440 kB)83 downloads
File information
File name FULLTEXT01.pdfFile size 2440 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Sumpter, David J. T.
By organisation
Applied Mathematics and Statistics
In the same journal

Search outside of DiVA

GoogleGoogle Scholar
Total: 83 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 229 hits
ReferencesLink to record
Permanent link

Direct link