John Tetteh , Ernest Yorke , Vincent Boima , Alfred Edwin Yawson
{"title":"加纳6-59个月儿童中疟疾感染率和蚊帐分发的影响:来自加纳人口健康和疟疾指标调查的证据","authors":"John Tetteh , Ernest Yorke , Vincent Boima , Alfred Edwin Yawson","doi":"10.1016/j.parepi.2023.e00302","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>To assess the prevalence of malaria infection and further quantify the impact of mosquito bed net distribution on malaria infection among children aged 6–59 months in Ghana.</p></div><div><h3>Methods</h3><p>A cross-sectional study using Ghana Demographic Health (GDHS) and Malaria Indicator (GMIS) surveys (2014 GDHS, 2016 GMIS, and 2019 GMIS). The exposure and the main outcomes were mosquito bed net use (MBU) and malaria infection (MI). Relative percentage change (Δ) and prevalence ratio (PR) were estimated to assess the changes and the risk of MI by MBU respectively. The Propensity-score matching treatment effect model was employed to estimate the average treatment effect (ATE) of MBU on MI. All analyses were performed using Stata 16.1 and <em>p</em>-value<0.05 was deemed significant.</p></div><div><h3>Results</h3><p>The study involved 8781 children aged 6–59 months. MI ranged from 25.8%(22.3–29.7) in 2019 GMIS to 40.6%(37.0–44.2) in 2014 GDHS and the prevalence was significantly high among children who used mosquito bed net. The relative percentage change in MI prevalence showed a significant reduction rate and was high among non-MBU (<em>p</em>-value<0.05). In all, the adjusted PR of MI among children exposed to MBU was 1.21(1.08–1.35), 1.13(1.01–1.28), and 1.50(1.20–1.75) in 2014 GDHS, 2016 GMIS, and 2019 GMIS respectively. The average MI among participants who slept in mosquito bed net significantly increased by 8%(0.04 to 0.12), 4%(0.003 to 0.08), and 7%(0.03 to 0.11) in 2014 GDHS, 2016 GMIS, and 2019 GMIS respectively.</p></div><div><h3>Conclusion</h3><p>Even though malaria infection prevalence among children aged 6–59 months is decreasing, the reduction rate seems not to be directly linked with mosquito bed nets distribution and/or use in Ghana. For a continued distribution of mosquito bed nets, and for Ghana to achieve her <em>Malaria Strategic Plan (NMSP) 2021–2025,</em> program managers should ensure effective use of the distributed nets in addition to other preventive measures and nuanced consideration of community behaviours in Ghana. The effective use and care of bed nets should be emphasized as part of the distribution.</p></div>","PeriodicalId":37873,"journal":{"name":"Parasite Epidemiology and Control","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/71/9e/main.PMC10185735.pdf","citationCount":"0","resultStr":"{\"title\":\"Prevalence of malaria infection and the impact of mosquito bed net distribution among children aged 6–59 months in Ghana: Evidence from the Ghana demographic health and malarial indicator surveys\",\"authors\":\"John Tetteh , Ernest Yorke , Vincent Boima , Alfred Edwin Yawson\",\"doi\":\"10.1016/j.parepi.2023.e00302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>To assess the prevalence of malaria infection and further quantify the impact of mosquito bed net distribution on malaria infection among children aged 6–59 months in Ghana.</p></div><div><h3>Methods</h3><p>A cross-sectional study using Ghana Demographic Health (GDHS) and Malaria Indicator (GMIS) surveys (2014 GDHS, 2016 GMIS, and 2019 GMIS). The exposure and the main outcomes were mosquito bed net use (MBU) and malaria infection (MI). Relative percentage change (Δ) and prevalence ratio (PR) were estimated to assess the changes and the risk of MI by MBU respectively. The Propensity-score matching treatment effect model was employed to estimate the average treatment effect (ATE) of MBU on MI. All analyses were performed using Stata 16.1 and <em>p</em>-value<0.05 was deemed significant.</p></div><div><h3>Results</h3><p>The study involved 8781 children aged 6–59 months. MI ranged from 25.8%(22.3–29.7) in 2019 GMIS to 40.6%(37.0–44.2) in 2014 GDHS and the prevalence was significantly high among children who used mosquito bed net. The relative percentage change in MI prevalence showed a significant reduction rate and was high among non-MBU (<em>p</em>-value<0.05). In all, the adjusted PR of MI among children exposed to MBU was 1.21(1.08–1.35), 1.13(1.01–1.28), and 1.50(1.20–1.75) in 2014 GDHS, 2016 GMIS, and 2019 GMIS respectively. The average MI among participants who slept in mosquito bed net significantly increased by 8%(0.04 to 0.12), 4%(0.003 to 0.08), and 7%(0.03 to 0.11) in 2014 GDHS, 2016 GMIS, and 2019 GMIS respectively.</p></div><div><h3>Conclusion</h3><p>Even though malaria infection prevalence among children aged 6–59 months is decreasing, the reduction rate seems not to be directly linked with mosquito bed nets distribution and/or use in Ghana. For a continued distribution of mosquito bed nets, and for Ghana to achieve her <em>Malaria Strategic Plan (NMSP) 2021–2025,</em> program managers should ensure effective use of the distributed nets in addition to other preventive measures and nuanced consideration of community behaviours in Ghana. 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Prevalence of malaria infection and the impact of mosquito bed net distribution among children aged 6–59 months in Ghana: Evidence from the Ghana demographic health and malarial indicator surveys
Objective
To assess the prevalence of malaria infection and further quantify the impact of mosquito bed net distribution on malaria infection among children aged 6–59 months in Ghana.
Methods
A cross-sectional study using Ghana Demographic Health (GDHS) and Malaria Indicator (GMIS) surveys (2014 GDHS, 2016 GMIS, and 2019 GMIS). The exposure and the main outcomes were mosquito bed net use (MBU) and malaria infection (MI). Relative percentage change (Δ) and prevalence ratio (PR) were estimated to assess the changes and the risk of MI by MBU respectively. The Propensity-score matching treatment effect model was employed to estimate the average treatment effect (ATE) of MBU on MI. All analyses were performed using Stata 16.1 and p-value<0.05 was deemed significant.
Results
The study involved 8781 children aged 6–59 months. MI ranged from 25.8%(22.3–29.7) in 2019 GMIS to 40.6%(37.0–44.2) in 2014 GDHS and the prevalence was significantly high among children who used mosquito bed net. The relative percentage change in MI prevalence showed a significant reduction rate and was high among non-MBU (p-value<0.05). In all, the adjusted PR of MI among children exposed to MBU was 1.21(1.08–1.35), 1.13(1.01–1.28), and 1.50(1.20–1.75) in 2014 GDHS, 2016 GMIS, and 2019 GMIS respectively. The average MI among participants who slept in mosquito bed net significantly increased by 8%(0.04 to 0.12), 4%(0.003 to 0.08), and 7%(0.03 to 0.11) in 2014 GDHS, 2016 GMIS, and 2019 GMIS respectively.
Conclusion
Even though malaria infection prevalence among children aged 6–59 months is decreasing, the reduction rate seems not to be directly linked with mosquito bed nets distribution and/or use in Ghana. For a continued distribution of mosquito bed nets, and for Ghana to achieve her Malaria Strategic Plan (NMSP) 2021–2025, program managers should ensure effective use of the distributed nets in addition to other preventive measures and nuanced consideration of community behaviours in Ghana. The effective use and care of bed nets should be emphasized as part of the distribution.
期刊介绍：
Parasite Epidemiology and Control is an Open Access journal. There is an increasing amount of research in the parasitology area that analyses the patterns, causes, and effects of health and disease conditions in defined populations. This epidemiology of parasite infectious diseases is predominantly studied in human populations but also spans other major hosts of parasitic infections and as such this journal will have a broad remit. We will focus on the major areas of epidemiological study including disease etiology, disease surveillance, drug resistance and geographical spread and screening, biomonitoring, and comparisons of treatment effects in clinical trials for both human and other animals. We will also look at the epidemiology and control of vector insects. The journal will also cover the use of geographic information systems (Epi-GIS) for epidemiological surveillance which is a rapidly growing area of research in infectious diseases. Molecular epidemiological approaches are also particularly encouraged.
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