Malaria Data by District: An open-source web application for increasing access to malaria information.

Area of Science:

• Spatial epidemiology
• Earth observation
• Public health

Background:

• Preventable diseases cause significant mortality in low- and middle-income countries.
• Spatial data from epidemiology and earth observation research inform global and national disease control policy.
• Local decision-making requires data presented in a relevant and understandable format.

Purpose of the Study:

• To demonstrate an approach and prototype web application for making spatial outputs from disease modeling more useful for local decision-making.
• To enhance the usability of spatial data for public health officials in low-resource settings.

Main Methods:

• Developed a prototype web application using R.
• Focused on a limited number of key data layers for simplicity.
• Summarized data at administrative unit scales relevant for decision-making.
• Enabled ranking and comparison of administrative units.
• Utilized open-source code for reusability and modification.

Main Results:

• The prototype application visualizes key data layers from the Malaria Atlas Project.
• Data can be summarized, ranked, and compared by administrative unit for malaria-endemic African countries.
• The application can answer specific public health questions, such as correlating malaria prevalence with insecticide-treated net coverage.

Conclusions:

• Open-source web application development can facilitate data use for public health decision-making in low-resource settings.
• The developed approach simplifies complex spatial data for local operational use.
• The prototype demonstrates the potential for targeted public health interventions based on localized data analysis.