This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Joao Luis Ferrao
Instituto Superior de Ciências da Informação e da Empresa: Universidade Fernando Pessoa
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3543-6459
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Malaria is a parasitic borne disease that affects red blood cells. The disease is preventable, detectable and treatable and more common in poor resource settings. It causes socioeconomic impacts, representing a large burden on the revenue of countries where it is endemic. Malaria is undoubtedly one of the main public health concerns impacting on families and the economy in Mozambique. Although the entire population of Mozambique is at risk of malaria, children and pregnant women have higher risk owing to lower immunity. Age category plays a significant important role in malaria occurrence and can affect the course and progression of the disease and correct treatment. Very few studies in pediatric malaria exists in Mozambique and the existing uses a simplistic and coarse grouping. Malaria risk is rarely uniform, whether considering households in a village, villages in a district or districts in a country. The knowledge of malaria pediatric incidence and, the need to evaluate the local heterogeneity by generating malaria risk maps can improve the understanding of pediatric malaria being the objective of this study.
Materials and Methods
A retrospective study was conducted using existing malaria positive data from 2018 to 2019 at Rural Sussundenga Hospital (RSH) in Sussundenga municipality. Attributable factor of the disease and incidence were calculated. Proportion of gender, age category and location were tested using G test. For malaria risk mapping, ten malaria factors (anthropic, sociodemographic, climatic and clinic) were used to produce two maps one using malaria incidence and other without. Bioclimatic, Diva GIS 7.4.0 and, Landsat 8 image were used to produce the map.
Results and conclusion
The findings revealed that of the, 42,248 patients who visited the local hospital f, 51.2 % tested positive for malaria with an incidence of 45.7 per 100 persons. There is a difference between residential areas in malaria incidence, with both maps showing malaria risk in Nhamazara, Nhamarenza and Unidade communities. This implies that malaria high risk areas seem to be located in high populated areas and areas close to water bodies. Relevant information is provided for effective planning in malaria intervention.
Keywords
Pediatric malaria, incidence, mapping
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Joao Luis Ferrao
Instituto Superior de Ciências da Informação e da Empresa: Universidade Fernando Pessoa
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3543-6459
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 02 Nov, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Infectious Diseases
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Malaria is a parasitic borne disease that affects red blood cells. The disease is preventable, detectable and treatable and more common in poor resource settings. It causes socioeconomic impacts, representing a large burden on the revenue of countries where it is endemic. Malaria is undoubtedly one of the main public health concerns impacting on families and the economy in Mozambique. Although the entire population of Mozambique is at risk of malaria, children and pregnant women have higher risk owing to lower immunity. Age category plays a significant important role in malaria occurrence and can affect the course and progression of the disease and correct treatment. Very few studies in pediatric malaria exists in Mozambique and the existing uses a simplistic and coarse grouping. Malaria risk is rarely uniform, whether considering households in a village, villages in a district or districts in a country. The knowledge of malaria pediatric incidence and, the need to evaluate the local heterogeneity by generating malaria risk maps can improve the understanding of pediatric malaria being the objective of this study.
Materials and Methods
A retrospective study was conducted using existing malaria positive data from 2018 to 2019 at Rural Sussundenga Hospital (RSH) in Sussundenga municipality. Attributable factor of the disease and incidence were calculated. Proportion of gender, age category and location were tested using G test. For malaria risk mapping, ten malaria factors (anthropic, sociodemographic, climatic and clinic) were used to produce two maps one using malaria incidence and other without. Bioclimatic, Diva GIS 7.4.0 and, Landsat 8 image were used to produce the map.
Results and conclusion
The findings revealed that of the, 42,248 patients who visited the local hospital f, 51.2 % tested positive for malaria with an incidence of 45.7 per 100 persons. There is a difference between residential areas in malaria incidence, with both maps showing malaria risk in Nhamazara, Nhamarenza and Unidade communities. This implies that malaria high risk areas seem to be located in high populated areas and areas close to water bodies. Relevant information is provided for effective planning in malaria intervention.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
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