Spatial examination of social and environmental drivers of Middle East respiratory syndrome coronavirus (MERS-CoV) across Kenya

  • Ted J. Lawrence
  • , Geoffrey K. Kangogo
  • , Avery Fredman
  • , Sharon L. Deem
  • , Eric M. Fèvre
  • , Ilona Gluecks
  • , James D. Brien
  • , Enbal Shacham

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Climate and agricultural land-use change has increased the likelihood of infectious disease emergence and transmissions, but these drivers are often examined separately as combined effects are ignored. Further, seldom are the influence of climate and agricultural land use on emerging infectious diseases examined in a spatially explicit way at regional scales. Our objective in this study was to spatially examine the climate, agriculture, and socio-demographic factors related to agro-pastoralism, and especially the combined effects of these variables that can influence the prevalence of Middle East respiratory syndrome coronavirus (MERS-CoV) in dromedary camels across northern Kenya. Our research questions focused on: (1) How MERS-CoV in dromedary camels has varied across geographic regions of northern Kenya, and (2) what climate, agriculture, and socio-demographic factors of agro-pastoralism were spatially related to the geographic variation of MERS-CoV cases in dromedary camels. To answer our questions, we analyzed the spatial distribution of historical cases based on serological evidence of MERS-CoV at the county level and applied spatial statistical analysis to examine the spatial relationships of the MERS-CoV cases between 2016 and 2018 to climate, agriculture, and socio-demographic factors of agro-pastoralism. Regional differences in MERS-CoV cases were spatially correlated with both social and environmental factors, and particularly ethno-religious camel practices, which highlight the complexity in the distribution of MERS-CoV in dromedary camels across Kenya.

Original languageEnglish
Pages (from-to)155-173
Number of pages19
JournalEcoHealth
Volume21
Issue number2
DOIs
StatePublished - Dec 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Funding

This work was supported in part by the Taylor Geospatial Institute and a seed research grant from the Living Earth Collaborative at Washington University in St. Louis. Furthermore, this research was also supported in part by the UK Biotechnology and Biological Sciences Research Council, the Department for International Development, the Economic & Social Research Council, the Medical Research Council, the Natural Environment Research Council, and the Defense Science & Technology Laboratory, under the Zoonoses and Emerging Livestock Systems (ZELS) program, grant reference BB/L019019/1. This study also received support from the CGIAR One Health initiative “Protecting Human Health Through a One Health Approach,” which was supported by contributors to the CGIAR Trust Fund (https://www.cgiar.org/funders/). We thank the University of Liverpool’s Open Access team for support of the CC-BY open access license for this article.

FundersFunder number
Natural Environment Research Council
Economic and Social Research Council
UK Medical Research Council, Engineering and Physical Sciences Research Council
Consortium of International Agricultural Research Centers
Department for International Development, UK Government
Taylor Geospatial Institute
Jiatong–Liverpool University
Defence Science and Technology Laboratory
Biotechnology and Biological Sciences Research CouncilBB/L019019/1

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 13 - Climate Action
      SDG 13 Climate Action
    3. SDG 15 - Life on Land
      SDG 15 Life on Land

    Keywords

    • climate
    • emerging infectious diseases
    • land use
    • spatial analysis

    ASJC Scopus subject areas

    • Ecology
    • Health, Toxicology and Mutagenesis

    Fingerprint

    Dive into the research topics of 'Spatial examination of social and environmental drivers of Middle East respiratory syndrome coronavirus (MERS-CoV) across Kenya'. Together they form a unique fingerprint.

    Cite this