Modelling Sociodemographic Factors That Affect Malaria Prevalence in Sussundenga, Mozambique

Autor: Roberto Mendes, Dominique Earland, Alberto Tungadza, Kelly M. Searle, João Ferrão, Albino Bibe, Marcos F. Ballat, Anisio Novela
Rok vydání: 2021
Předmět:
DOI: 10.21203/rs.3.rs-614728/v1
Popis: BackgroundMalaria is still one of the leading causes of mortality and morbidity in Mozambique with little progress in malaria control over the past 20 years. Sussundenga is one of most affected areas. Malaria transmission has a strong association with environmental and socio-demographic factors. The knowledge of sociodemographic factors that affects malaria, may be used to improve the strategic planning for its control and, such studies do not exist in Sussundenga. Hence, the objective of this study is to model the relationship between malaria and sociodemographic factors in Sussundenga, Mozambique. MethodsHouses in the study area were digitalized and enumerated using GoogleEarth ProTM. Hundred houses were randomly selected to conduct a community survey of P. falciparum parasite prevalence using rapid diagnostic test (RDT). During the survey, a questionnaire was conducted to assess the socio-demographic factors of the participants. Descriptive statistics were analyzed and backward stepwise logistic regression was performed establishing a relationship between positive cases and the factors. The analysis was carried out using SPSS version 20 package. ResultsThe overall P. falciparum prevalence was 31.6 %. Half of the malaria positive cases occurred in age group 5 to 14 years. Previous malaria treatment, population density and age group were significant predictors for the model. The model explained 13.5 % of the variance in malaria positive cases and sensitivity of the final model was 73.3 %. ConclusionIn this area the highest burden of P. falciparum infection was among those t5-14 years old. Malaria infection was related to socio-demographic factors. Targeting malaria control at community level can contributed better than waiting for cases at health centers. These finding can be used to guide more effective interventions in this region.Trial registrationReview Board (IRB) at the University of Minnesota STUDY00007184 CNBS [IRB00002657]
Databáze: OpenAIRE