| Re: Bednet coverage estimation issues [message #28159 is a reply to message #28055] |
Mon, 20 November 2023 09:30  |
Janet-DHS
Messages: 893
Registered: April 2022
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Senior Member |
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Following is a response from DHS Lead Malaria Research Analyst, Cameron Taylor:
Hi Stephen,
Yes, as malaria is becoming more heterogeneous across a country measuring net coverage in a "one size fits all" way is changing. We are receiving more requests from countries to start sampling based on malaria needs for example:
• Programmatic Sampling- 2014-15 Uganda MIS, 2018-19 Uganda MIS
• Malaria Transmission- 2011 Angola MIS, 2015 Kenya MIS, 2020 Kenya MIS, 2013 Madagascar MIS, 2016 Madagascar MIS
• Subnational Sampling- 2020-2021 Senegal MIS
However, it is harder to do bespoke malaria sampling as part of a DHS survey since malaria is only a small portion of the overall survey objectives. For the issue of people needing a net, this has been of increased focus of urban malaria. Where households typically have lower net ownership due to housing conditions but also have rising malaria prevalence. I would explore articles on urban malaria as well as articles that have analyzed DHS housing conditions data and associations with malaria https://dhsprogram.com/pubs/pdf/AS61/AS61.pdf
For the second part of your question, I would use the DHS spatial covariates and limit your analysis to malaria endemic areas. In this article I used the Malaria Atlas Project data (which is a DHS spatial covariate) and stratified them into four categories. You can read more in the methods section of the paper.
https://www.ajtmh.org/view/journals/tpmd/104/4/article-p1375 .xml
Thanks
Cameron
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