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Higher livestock abortion burden in arid and semi-arid lands, Kenya, 2019-2020.
Gachohi, John; Njoki, Peris; Mogoa, Eddy; Otieno, Fredrick; Muturi, Mathew; Mwatondo, Athman; Ngere, Isaac; Dawa, Jeanette; Nasimiyu, Carolyne; Osoro, Eric; Bett, Bernard; Njenga, Kariuki.
Afiliación
  • Gachohi J; Department of Environmental Health and Disease Control, School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
  • Njoki P; Washington State University Global Health Program, Washington State University, Nairobi, Kenya.
  • Mogoa E; Paul G. Allen School of Global Health, Washington State University, Pullman, Washington, United States of America.
  • Otieno F; Washington State University Global Health Program, Washington State University, Nairobi, Kenya.
  • Muturi M; Department of Clinical Studies, Faculty of Veterinary Medicine, University of Nairobi, Nairobi, Kenya.
  • Mwatondo A; Animal and human health Program, International Livestock Research Institute, Nairobi, Kenya.
  • Ngere I; Animal and human health Program, International Livestock Research Institute, Nairobi, Kenya.
  • Dawa J; Kenya Zoonotic Disease Unit, Nairobi, Kenya.
  • Nasimiyu C; Dahlem Research School (DRS), Faculty of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
  • Osoro E; Animal and human health Program, International Livestock Research Institute, Nairobi, Kenya.
  • Bett B; Kenya Zoonotic Disease Unit, Nairobi, Kenya.
  • Njenga K; Kenya One Health Platform, Ministry of Health, Nairobi, Kenya.
PLoS One ; 19(2): e0297274, 2024.
Article en En | MEDLINE | ID: mdl-38386647
ABSTRACT
Tracking livestock abortion patterns over time and across factors such as species and agroecological zones (AEZs) could inform policies to mitigate disease emergence, zoonoses risk, and reproductive losses. We conducted a year-long population-based active surveillance of livestock abortion between 2019 and 2020, in administrative areas covering 52% of Kenya's landmass and home to 50% of Kenya's livestock. Surveillance sites were randomly selected to represent all AEZs in the country. Local animal health practitioners electronically transmitted weekly abortion reports from each ward, the smallest administrative unit, to a central server, using a simple short messaging service (SMS). Data were analyzed descriptively by administrative unit, species, and AEZ to reveal spatiotemporal patterns and relationships with rainfall and temperature. Of 23,766 abortions reported in all livestock species, sheep and goats contributed 77%, with goats alone contributing 53%. Seventy-seven per cent (n = 18,280) of these abortions occurred in arid and semi-arid lands (ASALs) that primarily practice pastoralism production systems. While spatiotemporal clustering of cases was observed in May-July 2019 in the ASALs, there was a substantial seasonal fluctuation across AEZs. Kenya experiences high livestock abortion rates, most of which go unreported. We recommend further research to document the national true burden of abortions. In ASALs, studies linking pathogen, climate, and environmental surveillance are needed to assign livestock abortions to infectious or non-infectious aetiologies and conducting human acute febrile illnesses surveillance to detect any links with the abortions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cabras / Ovinos / Aborto Veterinario / Ganado Límite: Animals / Pregnancy País/Región como asunto: Africa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Kenia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cabras / Ovinos / Aborto Veterinario / Ganado Límite: Animals / Pregnancy País/Región como asunto: Africa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Kenia