Evidence map›Paper›PMID 28146556›Full record

ArticlePLoS neglected tropical diseases2017

Exploring local knowledge and perceptions on zoonoses among pastoralists in northern and eastern Tanzania.

Peter Ernest Mangesho, Moses Ole Neselle, Esron D Karimuribo, James E Mlangwa, Kevin Queenan, Leonard E G Mboera, Jonathan Rushton, Richard Kock, Barbara Häsler, Angwara Kiwara and 1 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

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  9. Parasitosis in Pet Dogs from Rondônia, Amazon Biome, and Human Perception of Zoonoses.International journal of environmental research and public health · 2024
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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

11 authors.

Peter Ernest MangeshoDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Moses Ole NeselleSouthern African Centre for Infectious Disease Surveillance, Sokoine University of Agriculture, Morogoro, Tanzania.
Esron D KarimuriboDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
James E MlangwaDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.
Kevin QueenanDepartment of Pathobiology and Population Sciences, Royal Veterinary College, University of London, London, United Kingdom.
Leonard E G MboeraDirectorate of Information Technologies and Communication, National Institute for Medical Research, Dar es Salaam, Tanzania.
Jonathan RushtonDirectorate of Information Technologies and Communication, National Institute for Medical Research, Dar es Salaam, Tanzania.
Richard KockDirectorate of Information Technologies and Communication, National Institute for Medical Research, Dar es Salaam, Tanzania.
Barbara HäslerDirectorate of Information Technologies and Communication, National Institute for Medical Research, Dar es Salaam, Tanzania.
Angwara KiwaraDepartment of Development Studies, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Mark RweyemamuDepartment of Veterinary Medicine and Public Health, Sokoine University of Agriculture, Morogoro, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZoonoses account for the most commonly reported emerging and re-emerging infectious diseases in Sub-Saharan Africa. However, there is limited knowledge on how pastoral communities perceive zoonoses in relation to their livelihoods, culture and their wider ecology. This study was carried out to explore local knowledge and perceptions on zoonoses among pastoralists in Tanzania. METHODOLOGY AND PRINCIPAL

findingsThis study involved pastoralists in Ngorongoro district in northern Tanzania and Kibaha and Bagamoyo districts in eastern Tanzania. Qualitative methods of focus group discussions, participatory epidemiology and interviews were used. A total of 223 people were involved in the study. Among the pastoralists, there was no specific term in their local language that describes zoonosis. Pastoralists from northern Tanzania possessed a higher understanding on the existence of a number of zoonoses than their eastern districts' counterparts. Understanding of zoonoses could be categorized into two broad groups: a local syndromic framework, whereby specific symptoms of a particular illness in humans concurred with symptoms in animals, and the biomedical framework, where a case definition is supported by diagnostic tests. Some pastoralists understand the possibility of some infections that could cross over to humans from animals but harm from these are generally tolerated and are not considered as threats. A number of social and cultural practices aimed at maintaining specific cultural functions including social cohesion and rites of passage involve animal products, which present zoonotic risk.

conclusionsThese findings show how zoonoses are locally understood, and how epidemiology and biomedicine are shaping pastoralists perceptions to zoonoses. Evidence is needed to understand better the true burden and impact of zoonoses in these communities. More studies are needed that seek to clarify the common understanding of zoonoses that could be used to guide effective and locally relevant interventions. Such studies should consider in their approaches the pastoralists' wider social, cultural and economic set up.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultAgedAged, 80 and overAnimalsFemaleFocus GroupsHumansMaleMiddle AgedPerceptionRural PopulationTanzaniaYoung AdultZoonoses

Identifiers

PMID28146556
PMCPMC5325590

What OpenQuestion holds

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Registered trials

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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.