Literature DB >> 35615100

Determinants of Malaria Morbidity Among School-Aged Children Living in East Hararghe Zone, Oromia, Ethiopia: A Community-Based Case-Control Study.

Mohammedawel Abdishu1, Tesfaye Gobena2, Melake Damena2, Hassen Abdi2, Abdi Birhanu3.   

Abstract

Background: Understanding the determinants of malaria morbidity offers helpful insights toward the changing malaria situation, which might lead to the adjustment of malaria program activities. Even though the determinants of malaria morbidity remain unknown, school-aged children were the highest malaria morbidity contributors in the East Hararghe Zone. Therefore, this study aimed to assess the determinants of malaria morbidity among school-aged children in the study area from February 1 to May 31, 2020.
Methods: A case-control study was conducted among school-aged children living in ten randomly selected low, moderate, and high malaria transmission kebeles. Cases were confirmed as positive for malaria, while controls were confirmed as negative for malaria among randomly selected school-aged children. Rapid diagnostic testing (RDT) and blood film (BF) malaria testing methods were used. Multivariable logistic regression was used to identify association between malaria and its determinants.
Results: The determinants of malaria infection were having no formal education (adjusted odds ratio (AOR)=4.91, 95% CI: 1.20-20.17), low family wealth index (AOR=2.50, 95% CI: 1.22-5.12), being from rural residence (AOR=2.34, 95% CI: 1.87-4.12), living near to stagnant water (AOR=2.01, 95% CI: 1.14-3.54), having a maximum of three family members (AOR=0.37, 95% CI: 0.18-0.78), using indoor residual spraying (IRS) (AOR=0.15, 95% CI: 0.08-0.29) and long-lasting insecticide-treated net (LLITN) over the last night (AOR=0.19, 95% CI: 0.10-0.35), and living in the house surrounded by cultivated land(AOR=0.24, 95%CI: 0.10-0.60) compared with their counterparts.
Conclusion: This study revealed that residence, family size, education, wealth index, stagnant water existence, and using LLITN and IRS had significant association with malaria morbidity. Thus, all concerned bodies, including the community should strengthen working on stagnant water elimination around their house to cut the breeding site of the malaria vector mosquito. Moreover, the findings have an important implication for improving interventions targeting the economic status and literacy of the society that may help in the reduction of the risk of malaria in the school-aged children.
© 2022 Abdishu et al.

Entities:  

Keywords:  Ethiopia; determinants; malaria; school-aged children

Year:  2022        PMID: 35615100      PMCID: PMC9124698          DOI: 10.2147/PHMT.S347621

Source DB:  PubMed          Journal:  Pediatric Health Med Ther        ISSN: 1179-9927


  35 in total

1.  Household and microeconomic factors associated with malaria in Mpumalanga, South Africa.

Authors:  Marlize Coleman; Michael Coleman; Musa L H Mabaso; Aaron M Mabuza; Geraldine Kok; Maureen Coetzee; David N Durrheim
Journal:  Trans R Soc Trop Med Hyg       Date:  2009-09-03       Impact factor: 2.184

2.  Predictors of Plasmodium falciparum malaria incidence in Chano Mille, South Ethiopia: a longitudinal study.

Authors:  Eskindir Loha; Bernt Lindtjørn
Journal:  Am J Trop Med Hyg       Date:  2012-07-23       Impact factor: 2.345

3.  Urban malaria and associated risk factors in Jimma town, south-west Ethiopia.

Authors:  Abebe Alemu; Wondewosen Tsegaye; Lemu Golassa; Gemeda Abebe
Journal:  Malar J       Date:  2011-06-24       Impact factor: 2.979

Review 4.  Combining indoor residual spraying and insecticide-treated nets for malaria control in Africa: a review of possible outcomes and an outline of suggestions for the future.

Authors:  Fredros O Okumu; Sarah J Moore
Journal:  Malar J       Date:  2011-07-28       Impact factor: 2.979

5.  Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania.

Authors:  Frank Chacky; Manuela Runge; Susan F Rumisha; Pendael Machafuko; Prosper Chaki; Julius J Massaga; Ally Mohamed; Emilie Pothin; Fabrizio Molteni; Robert W Snow; Christian Lengeler; Renata Mandike
Journal:  Malar J       Date:  2018-12-05       Impact factor: 2.979

6.  Is malaria illness among young children a cause or a consequence of low socioeconomic status? evidence from the united Republic of Tanzania.

Authors:  Marcia Caldas de Castro; Monica G Fisher
Journal:  Malar J       Date:  2012-05-09       Impact factor: 2.979

7.  How much does malaria vector control quality matter: the epidemiological impact of holed nets and inadequate indoor residual spraying.

Authors:  Andrea M Rehman; Mike Coleman; Christopher Schwabe; Giovanna Baltazar; Abrahan Matias; Irina Roncon Gomes; Lee Yellott; Cynthia Aragon; Gloria Nseng Nchama; Themba Mzilahowa; Mark Rowland; Immo Kleinschmidt
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

8.  Proximate Family Biosocial Variables Associated with Severe Malaria Disease among Under-Five Children in Resource-Poor Setting of a Rural Hospital in Eastern Nigeria.

Authors:  Gabriel Uche Pascal Iloh; Abali Chuku; Agwu Nkwa Amadi; John Nnaemeka Ofoedu
Journal:  J Family Med Prim Care       Date:  2013-07

9.  The usefulness of school-based syndromic surveillance for detecting malaria epidemics: experiences from a pilot project in Ethiopia.

Authors:  Ruth A Ashton; Takele Kefyalew; Esey Batisso; Tessema Awano; Zelalem Kebede; Gezahegn Tesfaye; Tamiru Mesele; Sheleme Chibsa; Richard Reithinger; Simon J Brooker
Journal:  BMC Public Health       Date:  2016-01-09       Impact factor: 3.295

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