Evidence map›Paper›PMID 40567924›Full record

ArticleRwanda journal of medicine and health sciences2023

Magnitude of Malaria and its Associated Factors among Febrile Patients Aged Five Years and above: A cross-sectional Study in Ngoma District, Rwanda.

Jean Claude Niyoyita, Laetitia Nyirazinyoye, François Hakizayezu, Joseph Ntaganira

Abstract read
In one paragraph

Article in Rwanda journal of medicine and health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jean Claude NiyoyitaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Laetitia NyirazinyoyeDepartment of Community Health, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
François HakizayezuDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Joseph NtaganiraDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria remains a public health challenge among people aged five years and above. Despite the efforts made by the government of Rwanda in malaria control, the burden of malaria continues to be a health threat among humans aged five years and above. Objectives: To assess the prevalence and factors associated with malaria among febrile patients aged five and older in Ngoma District, Rwanda. Method: A facility based cross-sectional study was conducted among 420 participants using a systematic sampling technique. Blood smears were tested for malaria parasites and questionnaire used for other data collection. Analysis was done using STATA version 13.0. Multivariable logistic regression analyses were computed to determine factors associated with malaria infection at 95% confidence intervals and statistical significance at p< 0.05. Results: Among participants, 60.7% were females, 35.9% were of 35 years and older, Malaria parasites were identified in 257 cases (61.2%). Malaria positivity associated with age ≥35 years (AOR=3.6; CI=1.3-10.02; P=0.012) and living in Mutenderi Sector (AOR=3.15; CI: 1.2, 3.9; P=0.038). Conclusion: Malaria prevalence was considerable and people living in Mutenderi Sector were more likely to suffer from it. Need of strengthening Malaria prevention in older people and in Muteneri Sector in particular.

Indexed as

FactorsFebrileMalariaparasitespositivityPrevalence

Identifiers

PMID40567924
PMCPMC12110465

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