Modelling sociodemographic factors that affect malaria prevalence in Sussundenga, Mozambique: A cross-sectional study.

Joao Ferrao; Dominique Earland; Anisio Novela; Roberto Mendes; Marcos Ballat; Alberto Tungadza; Kelly Searle

doi:10.12688/f1000research.75199.2

Modelling sociodemographic factors that affect malaria prevalence in Sussundenga, Mozambique: A cross-sectional study.

Joao Ferrao, Dominique Earland, Anisio Novela, Roberto Mendes, Marcos Ballat, Alberto Tungadza, Kelly Searle

Epidemiology

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Abstract

Background: Malaria 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 sociodemographic factors. The knowledge of sociodemographic factors that affects malaria, may be used to improve the strategic planning for its control. Currently such studies have not been performed in Sussundenga. Thus, the objective of this study is to model the relationship between malaria and sociodemographic factors in Sussundenga, Mozambique. Methods: Houses in the study area were digitalized and enumerated using Google Earth Pro version 7.3. In this study 100 houses were randomly selected to conduct a community survey of Plasmodium falciparum parasite prevalence using rapid diagnostic test (RDT). During the survey, a questionnaire was conducted to assess the sociodemographic 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. Results: The 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%. Conclusion: In this area the highest burden of P. falciparum infection was among those aged 5-14 years old. Malaria infection was related to sociodemographic factors. Targeting malaria control at community level can combat the disease more effectively than waiting for cases at health centers. These finding can be used to guide more effective interventions in this region.

Original language	English (US)
Article number	185
Journal	F1000Research
Volume	11
DOIs	https://doi.org/10.12688/f1000research.75199.2
State	Published - 2022

Bibliographical note

Funding Information:
We would like to thank the provincial and district directorates of health to grant permission to carry out this study especially the Dr. Firmino Jaqueta, Dr. Serafina Benesse, Dr. Filipe Murgorgo and Mrs. Elsa Trabuco. We also thank Mr. Gabriel Viegas for editing figures. A preprint version of this article can be found on Research Square (DOI: 10.21203/rs.3.rs-614728/v1).

Publisher Copyright:
© 2022 Ferrao J et al.

Keywords

Malaria
Prevalence
Social determinants of health
Sociodemographic
Sussundenga

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Journal Article
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UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Modelling sociodemographic factors that affect malaria prevalence in Sussundenga, Mozambique: A cross-sectional study.",

abstract = "Background: Malaria 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 sociodemographic factors. The knowledge of sociodemographic factors that affects malaria, may be used to improve the strategic planning for its control. Currently such studies have not been performed in Sussundenga. Thus, the objective of this study is to model the relationship between malaria and sociodemographic factors in Sussundenga, Mozambique. Methods: Houses in the study area were digitalized and enumerated using Google Earth Pro version 7.3. In this study 100 houses were randomly selected to conduct a community survey of Plasmodium falciparum parasite prevalence using rapid diagnostic test (RDT). During the survey, a questionnaire was conducted to assess the sociodemographic 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. Results: The 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%. Conclusion: In this area the highest burden of P. falciparum infection was among those aged 5-14 years old. Malaria infection was related to sociodemographic factors. Targeting malaria control at community level can combat the disease more effectively than waiting for cases at health centers. These finding can be used to guide more effective interventions in this region.",

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note = "Funding Information: We would like to thank the provincial and district directorates of health to grant permission to carry out this study especially the Dr. Firmino Jaqueta, Dr. Serafina Benesse, Dr. Filipe Murgorgo and Mrs. Elsa Trabuco. We also thank Mr. Gabriel Viegas for editing figures. A preprint version of this article can be found on Research Square (DOI: 10.21203/rs.3.rs-614728/v1). Publisher Copyright: {\textcopyright} 2022 Ferrao J et al.",

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AU - Earland, Dominique

AU - Novela, Anisio

AU - Mendes, Roberto

AU - Ballat, Marcos

AU - Tungadza, Alberto

AU - Searle, Kelly

N1 - Funding Information: We would like to thank the provincial and district directorates of health to grant permission to carry out this study especially the Dr. Firmino Jaqueta, Dr. Serafina Benesse, Dr. Filipe Murgorgo and Mrs. Elsa Trabuco. We also thank Mr. Gabriel Viegas for editing figures. A preprint version of this article can be found on Research Square (DOI: 10.21203/rs.3.rs-614728/v1). Publisher Copyright: © 2022 Ferrao J et al.

PY - 2022

Y1 - 2022

N2 - Background: Malaria 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 sociodemographic factors. The knowledge of sociodemographic factors that affects malaria, may be used to improve the strategic planning for its control. Currently such studies have not been performed in Sussundenga. Thus, the objective of this study is to model the relationship between malaria and sociodemographic factors in Sussundenga, Mozambique. Methods: Houses in the study area were digitalized and enumerated using Google Earth Pro version 7.3. In this study 100 houses were randomly selected to conduct a community survey of Plasmodium falciparum parasite prevalence using rapid diagnostic test (RDT). During the survey, a questionnaire was conducted to assess the sociodemographic 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. Results: The 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%. Conclusion: In this area the highest burden of P. falciparum infection was among those aged 5-14 years old. Malaria infection was related to sociodemographic factors. Targeting malaria control at community level can combat the disease more effectively than waiting for cases at health centers. These finding can be used to guide more effective interventions in this region.

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KW - Social determinants of health

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Modelling sociodemographic factors that affect malaria prevalence in Sussundenga, Mozambique: A cross-sectional study.

Abstract

Bibliographical note

Keywords

PubMed: MeSH publication types

UN SDGs

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