ArticleMethodsX2021
Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data.
Article in MethodsX, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Household smoke exposure risk and acute respiratory infection among children under five years in sub-Saharan Africa: evidence from the demographic and health surveys.BMC public health · 2025Article
- Smoke exposure risk among Somali households: prevalence, determinants, and regional disparities.BMC public health · 2025Article
- Understanding household smoke exposure risks (SER) in Nigeria: A regional analysis from the 2018 NDHS.BMC public health · 2025Article
- Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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