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- Data for: Spatial Variation in Socio-ecological Vulnerability to Covid-19 in the Contiguous United StatesThe data are primarily from U.S. government sources ( U.S. Census, NOAA, CDC, U.S. DOT, Homeland Security and U.S. BLS), with additional data on air quality and smoking prevalence taken from academic sources. Data were processed so that they all used a 6 digit identifier composed of the state FIPS followed by an underscore, followed by the county FIPS (e.g. "49_013"). These were then linked to a shapefile which used the same county identification system.
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- Data for: Do physical activity and sedentary time mediate the association of the perceived environment with BMI? The IPEN Adult studyData of the IPEN Adult study from 10 countries that collected accelerometer data.
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- Data for: A Diabetes Needs Index for Small Areas in EnglandEngland MSOAs Data Diabetes Outcomes and Risk Factors
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- Data for: Global disparities in health-systems financing: a cross-national analysis of the impact of tariff reductions and state capacity on public health expenditure in 65 low- and middle-income countries, 1996-2016Replication data for "Global disparities in health-systems financing: a cross-national analysis of the impact of tariff reductions and state capacity on public health expenditure in 65 low- and middle-income countries, 1996-2015"
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- Data for: “Clear action requires clear thinking”: A systematic review of gentrification and health research in the United StatesList of reviewed articles status of inclusion or exclusion into study and rationale if excluded
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- Data for: The influence of environmental and health indicators on premature mortality: An empirical analysis of the City of Toronto’s 140 neighborhoodsDemographic, socioeconomic, environmental and health data for 140 neighbourhoods of the City of Toronto
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- Data for: The influence of environmental and health indicators on premature mortality: An empirical analysis of the City of Toronto’s 140 neighborhoodsEnvironmental and health indicator data; also includes population and neighbourhood area data used in data standardization.
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- Supplementary Information files for Urban physical food environments drive dietary behaviours in Ghana and Kenya: A photovoice studySupplementary Information files for Urban physical food environments drive dietary behaviours in Ghana and Kenya: A photovoice study We identified factors in the physical food environment that influence dietary behaviours among low-income dwellers in three African cities (Nairobi, Accra, Ho). We used Photovoice with 142 males/females (≥13 years). In the neighbourhood environment, poor hygiene, environmental sanitation, food contamination and adulteration were key concerns. Economic access was perceived as a major barrier to accessing nutritionally safe and healthy foods. Home gardening supplemented household nutritional needs, particularly in Nairobi. Policies to enhance food safety in neighbourhood environments are required. Home gardening, food pricing policies and social protection schemes could reduce financial barriers to safe and healthy diets.
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