dc.contributor.author
Gachohi, John
dc.contributor.author
Njoki, Peris
dc.contributor.author
Mogoa, Eddy
dc.contributor.author
Otieno, Fredrick
dc.contributor.author
Muturi, Mathew
dc.contributor.author
Mwatondo, Athman
dc.contributor.author
Ngere, Isaac
dc.contributor.author
Dawa, Jeanette
dc.contributor.author
Nasimiyu, Carolyne
dc.contributor.author
Osoro, Eric
dc.date.accessioned
2024-05-21T10:58:48Z
dc.date.available
2024-05-21T10:58:48Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/43632
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-43347
dc.description.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.
en
dc.format.extent
12 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Ovine abortion
en
dc.subject
Bovine abortion
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::630 Landwirtschaft::630 Landwirtschaft und verwandte Bereiche
dc.title
Higher livestock abortion burden in arid and semi-arid lands, Kenya, 2019–2020
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e0297274
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0297274
dcterms.bibliographicCitation.journaltitle
PLoS ONE
dcterms.bibliographicCitation.number
2
dcterms.bibliographicCitation.volume
19
dcterms.bibliographicCitation.url
https://doi.org/10.1371/journal.pone.0297274
refubium.affiliation
Veterinärmedizin
refubium.affiliation.other
Dahlem Research School
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1932-6203
refubium.resourceType.provider
WoS-Alert