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      Determinants of malaria infections among children in refugee settlements in Uganda during 2018–2019

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          Abstract

          Background

          While 5% of 247 million global malaria cases are reported in Uganda, it is also a top refugee hosting country in Africa, with over 1.36 million refugees. Despite malaria being an emerging challenge for humanitarian response in refugee settlements, little is known about its risk factors. This study aimed to investigate the risk factors for malaria infections among children under 5 years of age in refugee settlements in Uganda.

          Methods

          We utilized data from Uganda’s Malaria Indicator Survey which was conducted between December 2018 and February 2019 at the peak of malaria season. In this national survey, household level information was obtained using standardized questionnaires and a total of 7787 children under 5 years of age were tested for malaria using mainly the rapid diagnostic test. We focused on 675 malaria tested children under five in refugee settlements located in Yumbe, Arua, Adjumani, Moyo, Lamwo, Kiryadongo, Kyegegwa, Kamwenge and Isingiro districts. The extracted variables included prevalence of malaria, demographic, social-economic and environmental information. Multivariable logistic regression was used to identify and define the malaria associated risk factors.

          Results

          Overall, malaria prevalence in all refugee settlements across the nine hosting districts was 36.6%. Malaria infections were higher in refugee settlements located in Isingiro (98.7%), Kyegegwa (58.6%) and Arua (57.4%) districts. Several risk factors were significantly associated with acquisition of malaria including fetching water from open water sources [adjusted odds ratio (a OR) = 1.22, 95% CI: 0.08–0.59, P = 0.002], boreholes (a OR = 2.11, 95% CI: 0.91–4.89, P = 0.018) and water tanks (a OR = 4.47, 95% CI: 1.67–11.9, P = 0.002). Other factors included pit-latrines (a OR = 1.48, 95% CI: 1.03–2.13, P = 0.033), open defecation (a OR = 3.29, 95% CI: 1.54–7.05, P = 0.002), lack of insecticide treated bed nets (a OR = 1.15, 95% CI: 0.43–3.13, P = 0.003) and knowledge on the causes of malaria (a OR = 1.09, 95% CI: 0.79–1.51, P = 0.005).

          Conclusions

          The persistence of the malaria infections were mainly due to open water sources, poor hygiene, and lack of preventive measures that enhanced mosquito survival and infection. Malaria elimination in refugee settlements requires an integrated control approach that combines environmental management with other complementary measures like insecticide treated bed nets, indoor residual spraying and awareness.

          Graphical Abstract

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40249-023-01090-3.

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          Most cited references55

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          Extensive diversity in the allelic frequency of Plasmodium falciparum merozoite surface proteins and glutamate-rich protein in rural and urban settings of southwestern Nigeria

          Background Nigeria carries a high burden of malaria which makes continuous surveillance for current information on genetic diversity imperative. In this study, the merozoite surface proteins (msp-1, msp-2) and glutamate-rich protein (glurp) of Plasmodium falciparum collected from two communities representing rural and urban settings in Ibadan, southwestern Nigeria were analysed. Methods A total of 511 febrile children, aged 3–59 months, whose parents/guardians provided informed consent, were recruited into the study. Capillary blood was obtained for malaria rapid diagnostic test, thick blood smears for parasite count and blood spots on filter paper for molecular analysis. Results Three-hundred and nine samples were successfully genotyped for msp-1, msp-2 and glurp genes. The allelic distribution of the three genes was not significantly different in the rural and urban communities. R033 and 3D7 were the most prevalent alleles in both rural and urban communities for msp-1 and msp-2, respectively. Eleven of glurp RII region genotypes, coded I–XII, with sizes ranging from 500 to 1100 base pairs were detected in the rural setting. Genotype XI (1000–1050 bp) had the highest prevalence of 41.5 and 38.5% in rural and urban settings, respectively. Overall, 82.1 and 70.0% of samples had multiclonal infection with msp-1 gene resulting in a mean multiplicity of infection (MOI) of 2.8 and 2.6 for rural and urban samples, respectively. Msp-1 and msp-2 genes displayed higher levels of diversity and higher MOI rates than the glurp gene. Conclusion Significant genetic diversity was observed between rural and urban parasite populations in Ibadan, southwestern Nigeria. The results of this study show that malaria transmission intensity in these regions is still high. No significant difference was observed between rural and urban settings, except for a completely different msp-1 allele, compared to previous reports, thereby confirming the changing face of malaria transmission in these communities. This study provides important baseline information required for monitoring the impact of malaria elimination efforts in this region and data points useful in revising current protocols.
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            Factors Contributing to Urban Malaria Transmission in Sub-Saharan Africa: A Systematic Review

            Sub-Saharan Africa suffers by far the greatest malaria burden worldwide and is currently undergoing a profound demographic change, with a growing proportion of its population moving to urban areas. Urbanisation is generally expected to reduce malaria transmission; however the disease still persists in African cities, in some cases at higher levels than in nearby rural areas. Objective. This paper aims to collate and analyse risk factors for urban malaria transmission throughout sub-Saharan Africa and to discuss their implications for control. Methods. A systematic search on malaria and urbanisation was carried out focusing on sub-Saharan Africa. Particular interest was taken in vector breeding sites in urban and periurban areas. Results. A variety of urban vector breeding sites were catalogued, the majority of which were artificial, including urban agriculture, tyre tracks, and ditches. Natural breeding sites varied according to location. Low socioeconomic status was a significant risk factor for malaria, often present in peri-urban areas. A worrying trend was seen in the adaptation of malaria vector species to the urban environment. Urban malaria is highly focused and control programs should reflect this. Conclusion. As urbanisation continues and vector species adapt, continued monitoring and control of urban malaria in sub-Saharan Africa is essential.
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              Systematic review of indoor residual spray efficacy and effectiveness against Plasmodium falciparum in Africa

              Indoor residual spraying (IRS) is an important part of malaria control. There is a growing list of insecticide classes; pyrethroids remain the principal insecticide used in bednets but recently, novel non-pyrethroid IRS products, with contrasting impacts, have been introduced. There is an urgent need to better assess product efficacy to help decision makers choose effective and relevant tools for mosquito control. Here we use experimental hut trial data to characterise the entomological efficacy of widely-used, novel IRS insecticides. We quantify their impact against pyrethroid-resistant mosquitoes and use a Plasmodium falciparum transmission model to predict the public health impact of different IRS insecticides. We report that long-lasting IRS formulations substantially reduce malaria, though their benefit over cheaper, shorter-lived formulations depends on local factors including bednet use, seasonality, endemicity and pyrethroid resistance status of local mosquito populations. We provide a framework to help decision makers evaluate IRS product effectiveness.
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                Author and article information

                Contributors
                henry.semakula@mak.ac.ug , semhm2000@yahoo.co.uk
                songliang@ufl.edu
                paul.isolomukwaya@mak.ac.ug , pmukwaya@gmail.com
                frank.mugagga@mak.ac.ug , fmugagga@gmail.com
                mswahn@kennesaw.edu
                denisnseka1@gmail.com
                wasswahans@gmail.com
                kayimapatrick1789@gmail.com
                Journal
                Infect Dis Poverty
                Infect Dis Poverty
                Infectious Diseases of Poverty
                BioMed Central (London )
                2095-5162
                2049-9957
                10 April 2023
                10 April 2023
                2023
                : 12
                : 31
                Affiliations
                [1 ]GRID grid.11194.3c, ISNI 0000 0004 0620 0548, Department of Geography, Geo-informatics and Climatic Sciences, , Makerere University, ; P. O Box 7062, Kampala, Uganda
                [2 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Department of Environmental and Global Health, College of Public Health and Health Professions, , University of Florida, ; 2055 Mowry Rd, Gainesville, FL 32610 USA
                [3 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Emerging Pathogens Institute, , University of Florida, ; Gainesville, FL USA
                [4 ]GRID grid.258509.3, ISNI 0000 0000 9620 8332, Wellstar College of Health and Human Services, , Kennesaw State University, ; Kennesaw, NW USA
                Author information
                http://orcid.org/0000-0002-9120-2235
                Article
                1090
                10.1186/s40249-023-01090-3
                10084630
                37032366
                8243f136-36a3-4022-bc15-67558f38f711
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 January 2023
                : 29 March 2023
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2023

                malaria,children,household,risk factor,refugee,settlement,uganda
                malaria, children, household, risk factor, refugee, settlement, uganda

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