Malaria and Helminthic Co-Infection during Pregnancy in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.
Minyahil Tadesse BoltenaAlphonse NshimyiryoAbraham Sahilemichael KebedeBenedict Oppong AsamoahAppiah Seth Christopher YawKassim KamaraPhénix Constant AssogbaAndualem Tadesse BoltenaHawult Taye AdaneElifaged HailemeskelMulatu Biru ShagrePublished in: International journal of environmental research and public health (2022)
Malaria and helminthic co-infection during pregnancy causes fetomaternal haemorrhage and foetal growth retardation. This study determined the pooled burden of pregnancy malaria and helminthic co-infection in sub-Saharan Africa. CINAHL, EMBASE, Google Scholar, Scopus, PubMed, and Web of Science databases were used to retrieve data from the literature, without restricting language and publication year. The Joanna Briggs Institute's critical appraisal tool for prevalence studies was used for quality assessment. STATA Version 14.0 was used to conduct the meta-analysis. The I 2 statistics and Egger's test were used to test heterogeneity and publication bias. The random-effects model was used to estimate the pooled prevalence at a 95% confidence interval (CI). The review protocol has been registered in PROSPERO, with the number CRD42019144812. In total, 24 studies (n = 14,087 participants) were identified in this study. The pooled analysis revealed that 20% of pregnant women were co-infected by malaria and helminths in sub-Saharan Africa. The pooled prevalence of malaria and helminths were 33% and 35%, respectively. The most prevalent helminths were Hookworm (48%), Ascaris lumbricoides (37%), and Trichuris trichiura (15%). Significantly higher malaria and helminthic co-infection during pregnancy were observed. Health systems in sub-Saharan Africa must implement home-grown innovative solutions to underpin context-specific policies for the early initiation of effective intermittent preventive therapy.
Keyphrases
- plasmodium falciparum
- systematic review
- pregnant women
- risk factors
- public health
- case control
- randomized controlled trial
- stem cells
- clinical trial
- autism spectrum disorder
- single cell
- electronic health record
- bone marrow
- phase iii
- big data
- machine learning
- meta analyses
- mesenchymal stem cells
- open label
- high intensity