Improving Cost-Effectiveness of Malaria Control with Climate Information
Author Information
Author(s): Worrall Eve, Connor Stephen J, Thomson Madeleine C
Primary Institution: Liverpool Associates in Tropical Health
Hypothesis
How does the cost-effectiveness of indoor residual spraying (IRS) vary with transmission severity and coverage levels, and can efficiency be improved by incorporating climate information?
Conclusion
Using climate information to inform malaria control decisions can optimize resource use and improve health outcomes.
Supporting Evidence
- Average cost-effectiveness of IRS varies dramatically between years.
- Efficiency gains can be achieved by implementing a Malaria Early Warning and Response System (MEWS).
- More countries should integrate climate-informed MEWS into malaria control programs.
Takeaway
This study shows that knowing how bad malaria will be can help health workers decide how much medicine to use, saving money and lives.
Methodology
A climate-driven model was used to simulate the cost-effectiveness of IRS at different coverage levels over several years.
Potential Biases
Potential bias from not accounting for climate variability in previous studies.
Limitations
The study assumes constant returns to scale for IRS coverage, which may not reflect real-world conditions.
Participant Demographics
The study focused on populations in endemic and epidemic malaria regions in sub-Saharan Africa.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website