Liao, J, Kirby, MA, Pillarisetti, A, Piedrahita, R, Balakrishnan, K, Sambandam, S, Mukhopadhyay, K, Ye, W, Rosa, G, Majorin, F, Dusabimana, E, Ndagijimana, F, McCracken, JP, Mollinedo, E, de Leon, O, Díaz-Artiga, A, Thompson, LM, Kearns, KA, Naeher, L, Rosenthal, J, Clark, ML, Steenland, K, Waller, LA, Checkley, W, Peel, JL and Clasen, T. 2021. Replication Data for: LPG stove and fuel intervention among pregnant women reduce fine particle air pollution exposures in three countries: Pilot results from the HAPIN trial. [Online]. Harvard Dataverse. Available from: https://doi.org/10.15139/S3/XSGXUM
Liao, J, Kirby, MA, Pillarisetti, A, Piedrahita, R, Balakrishnan, K, Sambandam, S, Mukhopadhyay, K, Ye, W, Rosa, G, Majorin, F, Dusabimana, E, Ndagijimana, F, McCracken, JP, Mollinedo, E, de Leon, O, Díaz-Artiga, A, Thompson, LM, Kearns, KA, Naeher, L, Rosenthal, J, Clark, ML, Steenland, K, Waller, LA, Checkley, W, Peel, JL and Clasen, T. Replication Data for: LPG stove and fuel intervention among pregnant women reduce fine particle air pollution exposures in three countries: Pilot results from the HAPIN trial [Internet]. Harvard Dataverse; 2021. Available from: https://doi.org/10.15139/S3/XSGXUM
Liao, J, Kirby, MA, Pillarisetti, A, Piedrahita, R, Balakrishnan, K, Sambandam, S, Mukhopadhyay, K, Ye, W, Rosa, G, Majorin, F, Dusabimana, E, Ndagijimana, F, McCracken, JP, Mollinedo, E, de Leon, O, Díaz-Artiga, A, Thompson, LM, Kearns, KA, Naeher, L, Rosenthal, J, Clark, ML, Steenland, K, Waller, LA, Checkley, W, Peel, JL and Clasen, T (2021). Replication Data for: LPG stove and fuel intervention among pregnant women reduce fine particle air pollution exposures in three countries: Pilot results from the HAPIN trial. [Data Collection]. Harvard Dataverse. https://doi.org/10.15139/S3/XSGXUM
Description
Documentation for Liao/Kirby et al data and scripts: Scripts: 1. Figure_1.R contains R script to generate figure 1. 2. Table_3.R contains R script to generate table 3. 3. Table 4+SM_analysis.do contains Stata script for generating table 4 and sensitivity analysis results in supplemental matarials. 4. SM_figures_tables.R contains R script for generating table S1 and figure S1 in supplemental materials. Data: 1. ExpMod_KAP_v2.csv contains processed kitchen PM2.5 data with covariates, for main analysis 2. ExpMod_PEM_v2.csv contains processed personal PM2.5 data with covariates, for main analysis 3. Pilot_expousre_data_IN+GT+RW_all.csv contains PM2.5 data only, including PM2.5 duplicates, for sensitivity analysis. 4. Table_2.xlsx contains baseline covariates data, for table 2. 5. Data dictionary.xlsx contains data dictionary for all above 4 datasets. Folder: 1. data: contains all data (explained above). 2. Figure2_data_script: contains data and script for generating figure 2 only.
Keywords
Data capture method | Unknown |
---|---|
Date (Date published in a 3rd party system) | 28 September 2021 |
Language(s) of written materials | English |
Data Creators | Liao, J, Kirby, MA, Pillarisetti, A, Piedrahita, R, Balakrishnan, K, Sambandam, S, Mukhopadhyay, K, Ye, W, Rosa, G, Majorin, F, Dusabimana, E, Ndagijimana, F, McCracken, JP, Mollinedo, E, de Leon, O, Díaz-Artiga, A, Thompson, LM, Kearns, KA, Naeher, L, Rosenthal, J, Clark, ML, Steenland, K, Waller, LA, Checkley, W, Peel, JL and Clasen, T |
---|---|
LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 10 Mar 2022 12:22 |
---|---|
Last Modified | 10 Mar 2022 12:22 |
Publisher | Harvard Dataverse |