| Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data |
| Authors: |
Mazbahul G. Ahamada and Fahian Taninb |
| Source: |
MethodsX, Volume 8; DOI: https://doi.org/10.1016/j.mex.2021.101390 |
| Topic(s): |
Environmental health
Household solid fuel use
|
| Country: |
More than one region
Multiple Regions
|
| Published: |
MAY 2021 |
| Abstract: |
We introduce Stata and R codes to estimate the household smoke-exposure risk (SER) variable using cooking fuel- and cooking place-related information obtained from country-level demographic and health survey (DHS) data. Two categories of cooking fuels (smoke-producing and non-smoke producing fuels) and two categories of cooking places (indoor and outdoor) are used to estimate the household SER. Finally, household SER is classified into four levels of risk: high (cooking indoor using smoke-producing fuels), medium (cooking outdoor using smoke-producing fuels), low (cooking indoor using non-smoke-producing fuels), and very low (cooking outdoor using non-smoke-producing fuels). An example of a household SER calculation using the DHS data and codes is provided for clarification. The available DHS data of over 90 countries contain both cooking fuel- and cooking place-related information, so the method of estimating household SER would be the same for these countries. Household-level cooking fuel and cooking place data can be used to estimate household SER. This paper illustrates an estimation technique for household smoke-exposure risk (SER) using demographic and health survey (DHS) data. This method can be used to estimate household SER data for any country on the DHS country list. |
| Web: |
https://www.sciencedirect.com/science/article/pii/S2215016121001837?via%3Dihub |