LivWell: a sub-national Dataset on the Living Conditions of Women and their Well-being for 52 Countries

Belmin, Camille; Hoffmann, Roman; Elkasabi, Mahmoud; Pichler, Peter-Paul

doi:10.1038/s41597-022-01824-2

Cited by 6 publications

(14 citation statements)

References 27 publications

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“…In addition to the three datasets, the CoDB also provides a spatial file with the boundaries of the subnational harmonized regions either as sf object or a multi-polygon geopackage (see section Data Records). For the production of the spatial file, we relied on the already harmonized geographies provided by the IPUMS international, the DHS Spatial Repository 10 , the work done by the LiveWell project 11 for harmonizing DHS boundaries and the Database of Global Administrative Areas (GADM) 12 .…”

Section: Methodsmentioning

confidence: 99%

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CORESIDENCE: National and subnational data on household size and composition around the world, 1964–2021

Galeano,

Esteve,

Turu

et al. 2024

Sci Data

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The CORESIDENCE Database (CoDB) represents a significant advancement in the field of family studies, addressing existing data gaps and facilitating comprehensive analysis of households’ composition and living arrangements at the national and subnational levels. This article introduces the CoDB, developed for the ERC project Intergenerational Coresidence in Global Perspective: Dimensions of Change. The database draws on global-scale individual microdata from four main repositories and national household surveys, encompassing over 150 million individual records representing more than 98% of the world’s population. The CoDB provides datasets at the national, subnational, and subnational-harmonized levels, covering 156 countries, 3950 regions, and 1511 harmonized regions for the period 1964–2021. It includes 146 indicators on household composition and family arrangements, allowing researchers to explore intergenerational co-residence patterns, gender dynamics within households, and longitudinal trends in living arrangements. The CoDB fills an important gap in comparative household studies, enabling researchers to undertake ground breaking research at both macro and micro levels, ultimately fostering a deeper understanding of the complex dynamics of family structures and living arrangements.

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Section: Methodsmentioning

confidence: 99%

“…To ensure the accuracy and reliability of the CoDB, we employ a two-stage validation process. In the first stage, we validate our National dataset by comparing some of our indicators to those from the DHS STAT compiler 11 and the UN database on Household Size and Composition.…”

Section: Technical Validationmentioning

confidence: 99%

CORESIDENCE: National and subnational data on household size and composition around the world, 1964–2021

Galeano,

Esteve,

Turu

et al. 2024

Sci Data

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“…We then converted the DHS household survey data to country level by using data processing and aggregation methods documented in detail elsewhere by LivWell; in Ref. [53]. Briefly, the household-level data were first aggregated to the sub-national level; with a corresponding R function used to transform the raw data into the final measures at the country level.…”

Section: Country-level Measuresmentioning

confidence: 99%

Examining the Role of Social Determinants of Health and COVID-19 Risk in 28 African Countries

Moise,

Ortiz-Whittingham,

Owolabi

et al. 2024

COVID

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While the impact of the pandemic has varied between and within countries, there are few published data on the relationship between social determinants of health (SDoH) and COVID-19 in Africa. This ecological cross-sectional study examines the relationship between COVID-19 risk and SDoH among 28 African countries. Included were countries with a recent demographic and health survey (years 2010 to 2018). The response variables were COVID-19 case rates and death rates (reported as of 15 August 2020); and the covariates comprised eight broad topics common to multiple SDoH frameworks aggregated to the country level: geography (urban residence), wealth index, education, employment, crowding, and access to information. A negative binomial regression was used to assess the association between aspects of SDoH and COVID-19 outcomes. Our analysis indicated that 1 in 4 (25.1%) households in study countries are without safe and clean water and a space for handwashing. The odds of COVID-19 morbidity and deaths were higher in countries with a high proportion of households without access to safe and clean water. Having a high proportional of educated women (1.003: 95% CI, 1.001–1.005) and living in a less crowded home (0.959: 95% CI, 0.920–1.000) were negatively associated with COVID-19 deaths, while being insured and owning a mobile phone predicted illness. Overall, aspects of SDoH contribute either negatively or positively to COVID-19 outcomes. Thus, addressing economic and environmental SDoH is critical for mitigating the spread of COVID-19 and re-emerging diseases on the African continent.

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“…This measurement is focused on calculating the Gini coefficient between provinces. To make the computation easier, each province's development level was taken into account while determining the Gini coefficient breakdown, as shown in Equation (11). In the formula above, u represents the level of overall development of women in the five provinces, y ji (y hr ) represents the level of the development of women in any city in region j(h), n represents the total number of provinces, k represents the number of regions, and n j (n h ) represents the number of provinces in region j(h).…”

Section: Spatial Imbalance Measurementmentioning

confidence: 99%

“…The California Budget & Policy Center, for example, has developed the California Women's Well-Being Index, which is a multifaceted, composite measure consisting of five "dimensions" including health, personal safety, employment & earning, economic security, and political empowerment [9]. The United Nations has created the Gender Disparity Index, which encompasses variables including, the freedom of movement, property rights, freedom to work, and financial rights [10] A recent study has developed a set of indicators on women's health and well-being, such as women's living conditions, decision making power, reproductive health, fertility, and issues related to domestic violence [11] (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

A Study on Temporal and Spatial Differences in Women’s Well-Being in an Ecologically Vulnerable Area in Northwest China

Liu

et al. 2023

Sustainability

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As an important driving force for economic development and social progress, women have become an important subject of well-being research. Human well-being is the state of physical and mental health as well as material affluence and includes a variety of factors, such as wealth, education, health, safety, amenities, way of life, and happiness. Based on the established research framework of the Women’s Development Index (WDI) in Northwest China, this paper first measured the objective well-being level of women in Shaanxi, Gansu, Qinghai, Ningxia, and Xinjiang from 2003 to 2020 under the influence of ecological factors. In addition, spatial disaggregation and comparative analyses of the spatial imbalance of women's well-being in Northwest China were carried out using the Theil index and Dagum Gini coefficient. The results show that (1) the WDI in ecologically vulnerable areas in Northwest China increased from 0.525 in 2003 to 0.690 in 2020, indicating an overall increase in well-being. (2) The WDI in the five provinces gradually increased with fluctuations. Among them, Shaanxi always remained in first place in terms of the WDI. (3) From 2003 to 2020, the spatial imbalance of women's well-being as measured according to the WDI in Northwest China first increased and then decreased. However, the gap in women's well-being in Northwest China was smaller than the economic gap. (4) From 2003 to 2020, the well-being gap measured by the WDI among the 10 groups of provinces in Northwest China gradually decreased, and the development gap between the provinces and Shaanxi was the largest.

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LivWell: a sub-national Dataset on the Living Conditions of Women and their Well-being for 52 Countries

Cited by 6 publications

References 27 publications

CORESIDENCE: National and subnational data on household size and composition around the world, 1964–2021

CORESIDENCE: National and subnational data on household size and composition around the world, 1964–2021

Examining the Role of Social Determinants of Health and COVID-19 Risk in 28 African Countries

A Study on Temporal and Spatial Differences in Women’s Well-Being in an Ecologically Vulnerable Area in Northwest China

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