Evidence map›Paper›PMID 30911595›Full record

ArticleOne health (Amsterdam, Netherlands)2019

Exploring fine-scale human and livestock movement in western Kenya.

Jessica R Floyd, Nick W Ruktanonchai, Nicola Wardrop, Andrew J Tatem, Joseph Ogola, Eric M Fèvre

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 4 institutions in 3 countries.

Jessica R FloydWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Nick W RuktanonchaiWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Nicola WardropWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Andrew J TatemWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Joseph OgolaInternational Livestock Research Institute, Old Naivasha Road, PO BOX 30709, 00100 Nairobi, Kenya.
Eric M FèvreInternational Livestock Research Institute, Old Naivasha Road, PO BOX 30709, 00100 Nairobi, Kenya.
Flowminder Foundation · SEUniversity of Southampton · GBInternational Livestock Research Institute · KEUniversity of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L019019/1
6 · The paper itself

Abstract

Human and livestock mobility are key factors in the transmission of several high-burden zoonoses such as rift valley fever and trypanosomiasis, yet our knowledge of this mobility is relatively poor due to difficulty in quantifying population-level movement patterns. Significant variation in the movement patterns of individual hosts means it is necessary to capture their fine-scale mobility in order to gain useful knowledge that can be extrapolated to a population level. Here we explore how the movements of people and their ruminants, and their exposure to various types of land cover, correlate with ruminant ownership and other demographic factors which could affect individual exposure to zoonoses. The study was conducted in Busia County, western Kenya, where the population are mostly subsistence farmers operating a mixed crop/livestock farming system. We used GPS trackers to collect movement data from 26 people and their ruminants for 1 week per individual in July/August 2016, and the study was repeated at the end of the same year to compare movement patterns between the short rainy and dry seasons respectively. We found that during the dry season, people and their ruminants travelled further on trips outside of the household, and that people spent less time on swampland compared to the short rainy season. Our findings also showed that ruminant owners spent longer and travelled further on trips outside the household than non-ruminant owners, and that people and ruminants from poorer households travelled further than people from relatively wealthier households. These results indicate that some individual-level mobility may be predicted by season and by household characteristics such as ruminant ownership and household wealth, which could have practical uses for assessing individual risk of exposure to some zoonoses and for future modelling studies of zoonosis transmission in similar rural areas.

Identifiers

PMID30911595
PMCPMC6416412
OpenAlexW2912017745

What OpenQuestion holds

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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.