Evidence map›Paper›PMID 38386647›Full record

ArticlePloS one2024

Higher livestock abortion burden in arid and semi-arid lands, Kenya, 2019-2020.

John Gachohi, Peris Njoki, Eddy Mogoa, Fredrick Otieno, Mathew Muturi, Athman Mwatondo, Isaac Ngere, Jeanette Dawa, Carolyne Nasimiyu, Eric Osoro and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

John GachohiDepartment of Environmental Health and Disease Control, School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID 0000-0001-9854-7490
Peris NjokiWashington State University Global Health Program, Washington State University, Nairobi, Kenya.
Eddy MogoaDepartment of Clinical Studies, Faculty of Veterinary Medicine, University of Nairobi, Nairobi, Kenya.
Fredrick OtienoAnimal and human health Program, International Livestock Research Institute, Nairobi, Kenya.ORCID 0000-0002-3375-8905
Mathew MuturiAnimal and human health Program, International Livestock Research Institute, Nairobi, Kenya.
Athman MwatondoAnimal and human health Program, International Livestock Research Institute, Nairobi, Kenya.
Isaac NgereWashington State University Global Health Program, Washington State University, Nairobi, Kenya.
Jeanette DawaWashington State University Global Health Program, Washington State University, Nairobi, Kenya.
Carolyne NasimiyuWashington State University Global Health Program, Washington State University, Nairobi, Kenya.
Eric OsoroWashington State University Global Health Program, Washington State University, Nairobi, Kenya.
Bernard BettAnimal and human health Program, International Livestock Research Institute, Nairobi, Kenya.
Kariuki NjengaWashington State University Global Health Program, Washington State University, Nairobi, Kenya.
Washington State Department of Health · USInternational Livestock Research Institute · KEKenya Wildlife Service · KEUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Abortion, VeterinaryGoatsLivestockSheepAnimalsFemaleKenyaPregnancyZoonoses

Identifiers

PMID38386647
PMCPMC10883554
OpenAlexW4392029942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.