Evidence map›Paper›PMID 34529687›Full record

ArticlePLoS neglected tropical diseases2021

Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach.

Paul Nyamweya Nyangau, Jonathan Makau Nzuma, Patrick Irungu, Menale Kassie

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Rift Valley fever and invisible women.Research directions. One health · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. 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

4 authors at 2 institutions in 1 country.

Paul Nyamweya NyangauDepartment of Agricultural Economics, Faculty of Agriculture, University of Nairobi, Nairobi, Kenya.ORCID 0000-0002-0080-6667
Jonathan Makau NzumaDepartment of Agricultural Economics, Faculty of Agriculture, University of Nairobi, Nairobi, Kenya.ORCID 0000-0002-3649-7093
Patrick IrunguDepartment of Agricultural Economics, Faculty of Agriculture, University of Nairobi, Nairobi, Kenya.
Menale KassieInternational Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya.ORCID 0000-0002-6754-2432
University of Nairobi · KEInternational Centre of Insect Physiology and Ecology · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, arthropod-borne virus (arbovirus) infections continue to pose substantial threats to public health and economic development, especially in developing countries. In Kenya, although arboviral diseases (ADs) are largely endemic, little is known about the factors influencing livestock farmers' knowledge, beliefs, and management (KBM) of the three major ADs: Rift Valley fever (RVF), dengue fever and chikungunya fever. This study evaluates the drivers of livestock farmers' KBM of ADs from a sample of 629 respondents selected using a three-stage sampling procedure in Kenya's three hotspot counties of Baringo, Kwale, and Kilifi. A multivariate fractional probit model was used to assess the factors influencing the intensity of KBM. Only a quarter of the farmers had any knowledge of ADs while over four-fifths of them could not manage any of the three diseases. Access to information (experience and awareness), income, education, religion, and distance to a health facility considerably influenced the intensity of farmers' KBM of ADs in Kenya. Thus, initiatives geared towards improving access to information through massive awareness campaigns are necessary to mitigate behavioral barriers in ADs management among rural communities in Kenya.

Indexed as

FarmersHealth Knowledge, Attitudes, PracticeLivestockAdultAnimalsChikungunya FeverChikungunya virusDengueFemaleHumansKenyaMaleRift Valley FeverRift Valley fever virus

Identifiers

PMID34529687
PMCPMC8478187
OpenAlexW3200366659

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.