ArticleMalaria journal2016
Spatio-temporal variation and socio-demographic characters of malaria in Chimoio municipality, Mozambique.
Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of changing malaria disease burden in sub-Saharan Africa since 2000: comparing model predictions and empirical observations.BMC medicine · 2020Pooled it
- Urban malaria in sub-Saharan Africa: a scoping review of epidemiologic studies.Malaria journal · 2025Article
- Malaria in under-five children: prevalence and multi-factor analysis of high-risk African countries.BMC public health · 2024Article
- Spatial, temporal, and spatiotemporal cluster detection of malaria incidence in Southwest Ethiopia.Frontiers in public health · 2024Article
- Modelling sociodemographic factors that affect malaria prevalence in Sussundenga, Mozambique: a cross-sectional study.F1000Research · 2022Article
- Malaria Temporal Variation and Modelling Using Time-Series in Sussundenga District, Mozambique.International journal of environmental research and public health · 2021Article
- Malaria Risk Map Using Spatial Multi-Criteria Decision Analysis along Yunnan Border During the Pre-elimination Period.The American journal of tropical medicine and hygiene · 2020Article
- The use of spatial and genetic tools to assess Plasmodium falciparum transmission in Lusaka, Zambia between 2011 and 2015.Malaria journal · 2020Article
- Article
- Mapping and Modelling Malaria Risk Areas Using Climate, Socio-Demographic and Clinical Variables in Chimoio, Mozambique.International journal of environmental research and public health · 2018Article
- Climatic Variables and Malaria Morbidity in Mutale Local Municipality, South Africa: A 19-Year Data Analysis.International journal of environmental research and public health · 2017Article
- Modelling the influence of climate on malaria occurrence in Chimoio Municipality, Mozambique.Parasites & vectors · 2017Article
- Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique.Malaria journal · 2017Article
- Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal.Malaria journal · 2017Article
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Abstract
backgroundIn Africa, urban malaria is a major concern, since the towns and especially their suburbs are growing quickly. In Mozambique, malaria represents 45 % of all cases of outpatient visits and 56 % of inpatient visits at paediatric clinics. Malaria is a major public health burden in Chimoio Mozambique and few studies on malaria exist.
methodsThe study was carried out to establish the spatiality and temporality of malaria and describe socio-demographic characteristics of malaria patients in Chimoio. Weekly malaria data for 9 years (2006-2014) were collected from the district Epidemiological Bulletin and incidence by season, age, gender, and residence was calculated. SPSS version 20 was used for statistical analysis and ArcGis 10.1 was used to produce maps.
resultsThe annual overall average of malaria incidence was 20.1 % and the attributable fraction (AF) of malaria was 16 %. There were differences in weekly and yearly malaria occurrences throughout the period. There was no difference in malaria cases between male and female patients. Children under 5 years of age are three times more prone to malaria than adults (p < 0.05). Three temporal clusters of malaria were identified: cluster 1, weeks 25-47 with average weekly cases of 618 (sd = 251.9), cluster 2, weeks 18-24 and 48-51 with average weekly cases of 1066 (sd = 317.4). cluster 3, weeks 1-17 and 52 with average weekly cases of 1587 (sd = 722.4). Similarly, three different clusters were identified according to residential areas: cluster 1 (10 %) mostly urban, cluster 2 (22 %) mostly suburbs, cluster 3 (28 %) mostly rural areas.
conclusionMalaria is increasing in the suburbs, and rural areas present more cases of malaria compared to urban areas. This article is an initial step to understand the dynamics of malaria in Chimoio. Results suggest that malaria varies in time and space, and that precision public health strategy should be used to control malaria occurrence. Studies on weather factors affecting malaria cases, bed net usage, and others should be undertaken.
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