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Geostatistical analysis and mapping of malaria risk in children of Mozambique.
Ejigu, Bedilu Alamirie.
  • Ejigu BA; Department of Statistics, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
PLoS One ; 15(11): e0241680, 2020.
Article in English | MEDLINE | ID: covidwho-949091
ABSTRACT
Malaria remains one of the most prevalent infectious diseases in the tropics and subtropics, and Mozambique is not an exception. To design geographically targeted and effective intervention mechanisms of malaria, an up-to-date map that shows the spatial distribution of malaria is needed. This study analyzed 2018 Mozambique Malaria Indicator Survey using geostatistical methods to i) explore individual, household, and community-level determinants of malaria in under-five children, ii) prepare a malaria prevalence map in Mozambique, and iii) produce prediction prevalence maps and exceedence probability across the country. The results show the overall weighted prevalence of malaria was 38.9% (N = 4347, with 95% CI 36.9%-40.8%). Across different provinces of Mozambique, the prevalence of malaria ranges from 1% in Maputo city to 57.3% in Cabo Delgado province. Malaria prevalence was found to be higher in rural areas, increased with child's age, and decreased with household wealth index and mother's level of education. Given the high prevalence of childhood malaria observed in Mozambique there is an urgent need for effective public health interventions in malaria hot spot areas. The household determinants of malaria infection that are identified in this study as well as the maps of parasitaemia risk could be used by malaria control program implementers to define priority intervention areas.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Malaria Type of study: Observational study / Prognostic study Limits: Animals / Child, preschool / Female / Humans / Infant Country/Region as subject: Africa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0241680

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Malaria Type of study: Observational study / Prognostic study Limits: Animals / Child, preschool / Female / Humans / Infant Country/Region as subject: Africa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0241680