Malaria incidence and prevalence: An ecological analysis through Six Sigma approach
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2024
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Abstract
Malaria is the leading cause of death globally, especially in sub-Saharan
African countries claiming over 400,000 deaths globally each year, underscoring
the critical need for continued efforts to combat this preventable and
treatable disease. The objective of this study is to provide statistical
guidance on the optimal preventive and control measures against malaria. Data
have been collected from reliable sources, such as World Health Organization,
UNICEF, Our World in Data, and STATcompiler. Data were categorized according to
the factors and sub-factors related to deaths caused by malaria. These factors
and sub-factors were determined based on root cause analysis and data sources.
Using JMP 16 Pro software, both linear and multiple linear regression were
conducted to analyze the data. The analyses aimed to establish a linear
relationship between the dependent variable (malaria deaths in the overall
population) and independent variables, such as life expectancy, malaria
prevalence in children, net usage, indoor residual spraying usage, literate
population, and population with inadequate sanitation in each selected sample
country. The statistical analysis revealed that using insecticide treated nets
(ITNs) by children and individuals significantly decreased the death count, as
1,000 individuals sleeping under ITNs could reduce the death count by eight.
Based on the statistical analysis, this study suggests more rigorous research
on the usage of ITNs.
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| Authors | Md. Al-Amin; Kesava Chandran Vijaya Bhaskar; Walaa Enab; Reza Kamali Miab; Jennifer Slavin; Nigar Sultana |
| Journal | arXiv |
| Year | 2024 |
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