Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data
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)...
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doaj-5f467df03697441faaed25d08cf0a52a2021-05-22T04:37:28ZengElsevierMethodsX2215-01612021-01-018101390Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) dataMazbahul G Ahamad0Fahian Tanin1University of Nebraska–Lincoln, Lincoln, NE 68583, USA; Corresponding author.Independent Researcher, Sylhet 3100, BangladeshWe 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.http://www.sciencedirect.com/science/article/pii/S2215016121001837Method of household smoke-exposure risk using demographic and health survey (DHS) data |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mazbahul G Ahamad Fahian Tanin |
spellingShingle |
Mazbahul G Ahamad Fahian Tanin Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data MethodsX Method of household smoke-exposure risk using demographic and health survey (DHS) data |
author_facet |
Mazbahul G Ahamad Fahian Tanin |
author_sort |
Mazbahul G Ahamad |
title |
Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data |
title_short |
Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data |
title_full |
Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data |
title_fullStr |
Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data |
title_full_unstemmed |
Estimation of household smoke-exposure risk using Demographic and Health Survey (DHS) data |
title_sort |
estimation of household smoke-exposure risk using demographic and health survey (dhs) data |
publisher |
Elsevier |
series |
MethodsX |
issn |
2215-0161 |
publishDate |
2021-01-01 |
description |
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. |
topic |
Method of household smoke-exposure risk using demographic and health survey (DHS) data |
url |
http://www.sciencedirect.com/science/article/pii/S2215016121001837 |
work_keys_str_mv |
AT mazbahulgahamad estimationofhouseholdsmokeexposureriskusingdemographicandhealthsurveydhsdata AT fahiantanin estimationofhouseholdsmokeexposureriskusingdemographicandhealthsurveydhsdata |
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