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http://bura.brunel.ac.uk/handle/2438/29051| Title: | Family network and household composition: a longitudinal dataset derived from the Karonga Health and Demographic Surveillance System, in rural Malawi |
| Authors: | McLean, E Kalobekamo, F Mwiba, O Crampin, AC Slaymaker, E Sear, R Dube, A |
| Keywords: | family;relatives;household;GPS;longitudinal;Malawi |
| Issue Date: | 30-Apr-2024 |
| Publisher: | F1000 Research |
| Citation: | McLean, E. et al. (2024) 'Family network and household composition: a longitudinal dataset derived from the Karonga Health and Demographic Surveillance System, in rural Malawi' [version 2; peer review: 1 approved]. Wellcome Open Research, 8, 573, pp. 1 - 14. doi: 10.12688/wellcomeopenres.20406.2. |
| Abstract: | Proximity to family, household composition, and structure are often studied as outcomes and as explanatory factors in a wide range of scientific disciplines. Here, we describe a large longitudinal dataset (currently including data from over 70,000 individuals from 2004 to 2017), including data on household structure, proximity to kin, population density, and other socio-demographic factors derived from data from the Karonga Health and Demographic Surveillance Site (HDSS) in Northern Malawi. We present how the dataset is generated, list some examples of how it can be used, and provide information on the limitations that affect the types of analyses that can be carried out. |
| Description: | DATA NOTE.
First Version Published: 14 Dec 2023, 8:573 (https://doi.org/10.12688/wellcomeopenres.20406.1)
Latest Version Published: 30 Apr 2024, 8:573 (https://doi.org/10.12688/wellcomeopenres.20406.2) Data and software availability statement: Underlying data: Due to the detailed nature of the data describing the exact living arrangement of participants, it is not possible to anonymize it sufficiently in a way that allows it to still be useful; thus, the data are not available for open access. However, MEIRU welcomes requests to use data from bona fide researchers who should contact the first author (EM) in the first instance at info@meiru.mw. Full documentation of the dataset including a complete listing of variables can be found on the MEIRU data catalogue (https://kpsmw.lshtm.ac.uk/index.php/catalog/13) Further information on MEIRU datasets can be found on the MEIRU website. Analysis code: Code is available through Zenodo: Family network and household composition: a longitudinal dataset derived from the Karonga HDSS, in rural Malawi (author-written code) https://zenodo.org/records/10037084 This project contains the following files: 0_master_KarongaHDSS_household_family.do: A Stata do-file which calls the following processing do-files. 1_identify_relatives.do: A Stata do-file in which all relative pairs are identified from parent and spouse id linkage lists for use in later do-files. 2_create_snapshots.do: A Stata do-file in which continuous HDSS residency episode data are reduced to snapshots. 3_assign_gps_to_snapshots.do: A Stata do-file in which GPS coordinates are added for each person for the household they are living in in each snapshot. 4_popdens_assign_hhmemb.do: A Stata do-file in which household summary variables are created, including population density and average relatedness within households. 5_id_household_members.do: A Stata do-file in which relationship between index and all household members are identified and summary variables created. 6_add_rels_10_250m: A Stata do-file in which index person's relatives within certain distances are identified and summary variables created. 7_get_other_datasets_ready.do: A Stata do-file in which other datasets related to socio-economic status and other factors are prepared for merging to the main dataset. 8_add_person_hh_states.do: A Stata do-file in which other datasets created in do-file 7 are merged to the main dataset and summary variables created. 9_combine_label_datasets.do: A Stata do-file in which all datasets are combined and labelled ready for use. These files are available under the terms of the Creative Commons Attribution 4.0 International. REVISED: Amendments from Version 1. A table of summaries by calendar year for selected variables has been added, to help readers understand the dataset (table 1). A link to the documentation of the dataset with the full list and description of all variables has also been added. Minor edits have been made to the “Relationships within households” section to try to make this clearer, a diagram has also been added to improve this section (figure 1). A table of the distribution of participants in the dataset by birth cohort and time resident in the HDSS has been converted to a population pyramid (figure 4). A summary paragraph has been added, and minor changes to the text have been made to clarify some methodological decisions. See the detailed response from the author(s) to the review by Ashira Menashe-Oren (https://wellcomeopenresearch.org/articles/8-573/v2#). |
| URI: | https://bura.brunel.ac.uk/handle/2438/29051 |
| DOI: | https://doi.org/10.12688/wellcomeopenres.20406.2 |
| Other Identifiers: | ORCiD: Estelle McLean https://orcid.org/0000-0001-6079-0663 ORCiD: Amelia C Crampin https://orcid.org/0000-0002-1513-4330 ORCiD: Emma Slaymaker https://orcid.org/0000-0002-4941-5739 ORCiD: Rebecca Sear https://orcid.org/0000-0002-4315-0223 573 |
| Appears in Collections: | Dept of Life Sciences Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright: © 2024 McLean, E. et al. This is an open access work distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 1.84 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
