Alemayehu Midekisa, PhD

Title(s)Specialist, Prevention & Public Health
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    Collapse Biography 
    Collapse Education and Training
    South Dakota State UniversityPhD2014Geospatial Science and Engineering
    Addis Ababa UniversityMSc2006Remote Sensing and GIS
    Collapse Awards and Honors
    2014The International Geographic Honor Society (GTU) Delta Zeta Chapter
    2013Golden Key International Honour Society
    2012Best Poster Award at the 43rd Annual South Dakota State Geography Convention
    2011NASA Earth and Space Science Fellowship (NESSF)
    2011NASA-MSU Professional Enhancement Award
    2008Erasmus Mundus Scholarship
    2007First Cycle University Research Grant
    2006International Livestock Research Institute (ILRI) Graduate Fellowship

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    Collapse Overview
    Alemayehu Midekisa, PhD, is a Geospatial Research Specialist at the UCSF Global Health Group’s Malaria Elimination Initiative (MEI). In this role, Alemayehu is co-leading the development of automated malaria risk mapping using cloud-computing and near-real time satellite observations. He is also co-leading various other projects that involve big geospatial earth observation data.

    Prior to joining the MEI, Alemayehu's doctoral research examined the spatial and temporal drivers of malaria in the highlands of East Africa using satellite observations, for which he was a NASA Earth and Space Science Fellow. His broader research interests include the application of earth observation satellite data to quantify and monitor the distribution of vector-borne diseases.

    Alemayehu has a PhD in Geospatial Sciences and Engineering from South Dakota State University and an MSc in Remote Sensing and GIS from Addis Ababa University.

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    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Sturrock HJW, Woolheater K, Bennett AF, Andrade-Pacheco R, Midekisa A. Predicting residential structures from open source remotely enumerated data using machine learning. PLoS One. 2018; 13(9):e0204399. PMID: 30240429.
      View in: PubMed
    2. Midekisa A, Holl F, Savory DJ, Andrade-Pacheco R, Gething PW, Bennett A, Sturrock HJW. Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing. PLoS One. 2017; 12(9):e0184926. PMID: 28953943.
      View in: PubMed
    3. Dlamini N, Hsiang MS, Ntshalintshali N, Pindolia D, Allen R, Nhlabathi N, Novotny J, Kang Dufour MS, Midekisa A, Gosling R, LeMenach A, Cohen J, Dorsey G, Greenhouse B, Kunene S. Low-Quality Housing Is Associated With Increased Risk of Malaria Infection: A National Population-Based Study From the Low Transmission Setting of Swaziland. Open Forum Infect Dis. 2017; 4(2):ofx071. PMID: 28580365.
      View in: PubMed
    4. Sturrock HJW, Bennett AF, Midekisa A, Gosling RD, Gething PW, Greenhouse B. Mapping Malaria Risk in Low Transmission Settings: Challenges and Opportunities. Trends Parasitol. 2016 08; 32(8):635-645. PMID: 27238200.
      View in: PubMed
    5. Katrak S, Day N, Ssemmondo E, Kwarisiima D, Midekisa A, Greenhouse B, Kamya M, Havlir D, Dorsey G. Community-wide Prevalence of Malaria Parasitemia in HIV-Infected and Uninfected Populations in a High-Transmission Setting in Uganda. J Infect Dis. 2016 06 15; 213(12):1971-8. PMID: 26908725.
      View in: PubMed
    6. Midekisa A, Beyene B, Mihretie A, Bayabil E, Wimberly MC. Seasonal associations of climatic drivers and malaria in the highlands of Ethiopia. Parasit Vectors. 2015 Jun 24; 8:339. PMID: 26104276; PMCID: PMC4488986.
    7. Midekisa A, Senay GB, Wimberly MC. Multisensor earth observations to characterize wetlands and malaria epidemiology in Ethiopia. Water Resour Res. 2014 Nov; 50(11):8791-8806. PMID: 25653462.
      View in: PubMed
    8. Wimberly MC, Midekisa A, Semuniguse P, Teka H, Henebry GM, Chuang TW, Senay GB. Spatial synchrony of malaria outbreaks in a highland region of Ethiopia. Trop Med Int Health. 2012 Oct; 17(10):1192-201. PMID: 22863170; PMCID: PMC3830682.
    9. Midekisa A, Senay G, Henebry GM, Semuniguse P, Wimberly MC. Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia. Malar J. 2012 May 14; 11:165. PMID: 22583705.
      View in: PubMed