Evidence map›Paper›PMID 30234178›Full record

ArticleParasite epidemiology and control2018

Vulnerability of farming communities to malaria in the Bole district, Ghana.

Komlagan Mawuli Apélété Yao, Francis Obeng, Joshua Ntajal, Agbeko K Tounou, Brama Kone

Abstract read
In one paragraph

Article in Parasite epidemiology and control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Komlagan Mawuli Apélété YaoWest African Science Service Center for Climate Change and Adapted Land Use, University of Lomé, Togo.
Francis ObengDepartment of Agriculture Extension, Rural Development and Gender Studies at University for Development Studies, Tamale, Ghana.
Joshua NtajalOne Health Graduate School, Center for Development Research (ZEF), University of Bonn, Germany.
Agbeko K TounouSchool of Agriculture, University of Lomé in, Togo.
Brama KoneUniversity Peleforo Gon Coulibaly, Korhogo, Côte d'Ivoire, and Centre Suisse de Recherches Scientifiques en Côte d'Ivoire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria contributes substantially to the poor health situation in the northern region of Ghana, especially in the Bole district. This paper is an outcome of a study, which assessed the factors that influenced the vulnerability of farming households to malaria, as well as the economic burden of the malaria prevalence in the Bole District, Ghana. The multiple linear regression model was used to analyze the determinants of household's vulnerability to malaria, and to examine the relationship between the non-parametric dependent variable and dichotomous independent variables. The outcome of the study revealed an increase in malaria cases during the rainy season. Total direct cost of malaria care, number of people comprising the farming household, support for malaria prevention, information on mosquito breeding and development, and absenteeism from farm emerged as the main factors, which influenced the households' vulnerability to malaria. Direct and indirect costs of malaria treatment have negatively affected the households' budget. In addition, malaria treatment cost represented a substantial portion of poor farming household income. The direct cost was estimated to GH₵ 4059, and the indirect cost was estimated to GH₵ 4654. It was recommended to the government of Ghana to expand the National Malaria Control Program to the household level and make National Health Insurance Scheme more efficient.

Indexed as

Economic vulnerabilityMalariaMalaria costPrevention

Identifiers

PMID30234178
PMCPMC6140295

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.