Kevin Mwenda

Associate Director of Spatial Structures in the Social Sciences (S4)
Assistant Professor (Research) of Population Studies
Kevin Mwenda

Mwenda joined Brown University and the PSTC in 2018. He is Associate Director of Brown’s Spatial Structures in the Social Sciences (S4) initiative.

Mwenda's research focuses on changing spatial patterns of health outcomes such as infectious disease and undernutrition among vulnerable populations around the world, and how these patterns are influenced by various environmental, climatic, and socioeconomic factors. His research interests include designing and applying methods that explore, analyze and visualize spatial patterns within health data, to better understand human-environment dynamics (e.g. population health, climate and society), and the role humans play at the nexus among these.

Prior to arriving at Brown, Mwenda served as Lab Manager at the UCSB Broom Center for Demography, and previously worked as a GIS & Spatial Analysis Specialist at Dartmouth College. He holds a PhD degree in Geography from University of California, Santa Barbara (UCSB).

Selected Publications

López-Carr, David, Kevin M. Mwenda, Narcisa G. Pricope, Phaedon C. Kyriakidis, Marta M. Jankowska, John Weeks, Chris Funk, Gregory Husak, and Joel Michaelsen. 2016. “Climate-Related Child Undernutrition in the Lake Victoria Basin: An Integrated Spatial Analysis of Health Surveys, NDVI, and Precipitation Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(6):  2830 – 2835. DOI: 10.1109/JSTARS.2016.2569411 

Mwenda, Kevin. M., Phaedon C. Kyriakidis, and David López-Carr. 2015. “Quantifying Spatial Uncertainty of Population Estimates: Evidence from three Tanzanian districts.”Plurimondi. An International Forum for Research and Debate on Human Settlements. 8(17): 215-221.

Shi, Xun, Stephanie Miller, Kevin Mwenda, Akikazu Onda, Judy Rees, Tracy Onega, Jiang Gui, Margaret Karagas, Eugene Demidenko, and John Moeschler. 2013. “Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects.” International Journal of Environmental Research and Public Health. 10: 4161-4174. DOI: 10.3390/ijerph10094161

Yang, Qingsheng, Kevin M. Mwenda, and Miao Ge. 2013. “Incorporating Geographical Factors with Artificial Neural Networks to predict Reference Values of Erythrocyte Sedimentation Rate.” International Journal of Health Geographics. 12:11. DOI: 10.1186/1476-072X-12-11

Scholarly Interests

Child undernutrition, Public Health, Spatial demography, Spatial epidemiology