Evidence map›Paper›PMID 41068863›Full record

ArticleMalaria journal2025

Prevalence of malaria and associated factors among febrile patients in selected healthcare facilities of Jawi District, northwest Ethiopia.

Assaye Dagnew, Solomon Yeshanew, Endalkachew Nibret, Getnet Atenafu, Fasil Adugna Kendie, Melese Assefa, Asmamaw Habtamu

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Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Assaye DagnewDepartment of Biology, Debre Markos University, Debre Markos, Ethiopia.
Solomon YeshanewDepartment of Biology, Debre Markos University, Debre Markos, Ethiopia. solarm12@yahoo.com.
Endalkachew NibretDepartment of Biology, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.
Getnet AtenafuDepartment of Biology, Debre Markos University, Debre Markos, Ethiopia.
Fasil Adugna KendieDepartment of Biology, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.
Melese AssefaSurveillance Officer, World Health Organization, Addis Ababa, Afar Regional State, Ethiopia.
Asmamaw HabtamuDepartment of Biology, Debre Markos University, Debre Markos, Ethiopia.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundDespite the ongoing control and elimination efforts, malaria continues to impose a substantial burden on healthcare systems and communities in Ethiopia. Understanding its epidemiology and identifying associated factors are essential for targeted interventions. The present study thus aimed to assess malaria prevalence and associated factors among febrile patients in selected healthcare facilities of Jawi District, northwest Ethiopia.

methodsA cross-sectional study was conducted from April to November 2023 in Jawi District, northwest Ethiopia. The study involved 420 participants who visited government-owned healthcare facilities seeking treatment for febrile illnesses. Socio-demographic information and malaria-related data were collected using a structured questionnaire. Additionally, blood samples were obtained from study participants and examined for malaria parasites using microscopy. Multivariable logistic regression was employed to identify the major explanatory factors associated with malaria.

resultsThe study revealed a malaria prevalence of 41.2% (95% CI: 0.365-0.459), and Plasmodium falciparum was the predominant species (64.8%) detected. Socio-demographic factors such as lack of formal education (AOR = 2.452; 95% CI: 2.427-11.345, p = 0.047), and proximity of residence to mosquito breeding sites (AOR = 43.224; 95% CI: 3.215-25.381, p = 0.015) appeared as significant factors for malaria. Furthermore, awareness gaps regarding malaria transmission in the community (AOR = 1.384; 95% CI: 1.117-2.009, p = 0.044) were found to influence malaria vulnerability. Housing characteristics and inconsistent utilization of preventive measures were also identified as contributors to malaria prevalence among study participants.

conclusionThe findings of the present study revealed that the rate of malaria infection in the study area was high. The transmission has a multifactorial nature, including socio-demographic, environmental, and behavioral factors. Strengthening education and awareness programs, improving housing conditions, and ensuring sustainable access to malaria diagnosis, treatment, and preventive services are essential components of effective malaria control in the study area.

Indexed as

FeverHealth FacilitiesMalariaMalaria, FalciparumMalaria, VivaxAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesEthiopiaFemaleHumansInfantMaleAssociated factorsEthiopiaHealthcare facilitiesJawi districtMalaria prevalence

Identifiers

PMID41068863
PMCPMC12512914

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LicenceCC BY-NC-ND
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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.