This paper examines the relationship between public participatory GIS (PPGIS) and volunteered geographic information (VGI). A brief review of the history of PPGIS reveals similarities between the two but also provides examples of how these two areas have developed in ways that cause the boundaries between them to be unclear at times. As evidence for advancing this conversation, 2 case studies are presented: volunteers mapping vernal pools and park design in Second Life. These case studies demonstrate both the intertwined nature of some aspects of VGI and PPGIS, while also showing some aspects of divergence.
Objectives Conflicting findings on associations between food and physical activity (PA) environments and children’s weight status demand attention in order to inform effective interventions. We assess relationships between the food and PA environments in inner-city neighborhoods and children’s weight status and address sources of conflicting results of prior research. Methods Weight status of children ages 3–18 was assessed using parent-measured heights and weights. Data were collected from 702 children living in four low-income cities in New Jersey between 2009 and 2010. Proximity of a child’s residence to a variety of food and PA outlets was measured in multiple ways using geo-coded data. Multivariate analyses assessed the association between measures of proximity and weight status. Results Significant associations were observed between children’s weight status and proximity to convenience stores in the 1/4 mile radius (OR = 1.9) and with presence of a large park in the 1/2 mile radius (OR = 0.41). No associations were observed for other types of food and PA outlets. Conclusions Specific aspects of the food and PA environments are predictors of overweight and obese status among children, but the relationships and their detection are dependent upon aspects of the geospatial landscape of each community.
Background Surgical, anaesthetic, and obstetric (SAO) health-care system strengthening is needed to address the emergency and essential surgical care that approximately 5 billion individuals lack globally. To our knowledge, a complete, non-modelled national situational analysis based on the Lancet Commission on Global Surgery surgical indicators has not been done. We aimed to undertake a complete situation analysis of SAO system preparedness, service delivery, and financial risk protection using the core surgical indicators proposed by the Commission in Colombia, an upper-middle-income country.Methods Data to inform the six core surgical system indicators were abstracted from the Colombian national health information system and the most recent national health survey done in 2007. Geographical access to a Bellwether hospital (defined as a hospital capable of providing essential and emergency surgery) within 2 h was assessed by determining 2 h drive time boundaries around Bellwether facilities and the population within and outside these boundaries. Physical 2 h access to a Bellwether was determined by the presence of a motor vehicle suitable for individual transportation. The Department Administrativo Nacional de Estadística population projection for 2016 and 2018 was used to calculate the SAO provider density. Total operative volume was calculated for 2016 and expressed nationally per 100 000 population. The total number of postoperative deaths that occurred within 30 days of a procedure was divided by the total operative volume to calculate the all-cause, non-risk-adjusted postoperative mortality. The proportion of the population subject to impoverishing costs was calculated by subtracting the baseline number of impoverished individuals from those who fell below the poverty line once out-of-pocket payments were accounted for. Individuals who incurred out-of-pocket payments that were more than 10% of their annual household income were considered to have experienced catastrophic expenditure. Using GIS mapping, SAO system preparedness, service delivery, and cost protection were also contextualised by socioeconomic status. FindingsIn 2016, at least 7•1 million people (15•1% of the population) in Colombia did not have geographical access to SAO services within a 2 h driving distance. SAO provider density falls short of the Commission's minimum target of 20 providers per 100 000 population, at an estimated density of 13•7 essential SAO health-care providers per 100 000 population in 2018. Lower socioeconomic status of a municipality, as indicated by proportion of people enrolled in the subsidised insurance regime, was associated with a smaller proportion of the population in the municipality being within 2 h of a Bellwether facility, and the most socioeconomically disadvantaged municipalities often had no SAO providers. Furthermore, Colombian providers appear to be working at or beyond capacity, doing 2690-3090 procedures per 100 000 population annually, but they have maintained a relatively low median postoperative mo...
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