Detailed information on health linked to geographic, sociodemographic, and environmental data are required by city governments to monitor health and the determinants of health. These data are critical for guiding local interventions, resource allocation, and planning decisions, yet they are too often non-existent or scattered. This study aimed to develop a conceptual framework of Urban Health Observatories (UHOs) as an institutional mechanism which can help synthesize evidence and incorporate it into urban policy-making for health and health equity. A survey of a select group of existent UHOs was conducted using an instrument based on an a priori conceptual framework of key structural and functional characteristics of UHOs. A purposive sample of seven UHOs was surveyed, including four governmental, two non-governmental, and one university-based observatory, each from a different country. Descriptive and framework analysis methods were used to analyze the data and to refine the conceptual framework in light of the empirical data. The UHOs were often a product of unique historical circumstances. They were relatively autonomous and capable of developing their own locally sensitive agenda. They often had strong networks for accessing data and were able to synthesize them at the urban level as well as disaggregate them into smaller units. Some UHOs were identified as not only assessing but also responding to local needs. The findings from this study were integrated into a conceptual framework which illustrates how UHOs can play a vital role in monitoring trends in health determinants, outcomes, and equity; optimizing an intersectoral urban information system; incorporating research on health into urban policies and systems; and providing technical guidance on research and evidence-based policy making. In order to be most effective, UHOs should be an integral part of the urban governance system, where multiple sectors of government, the civil society, and businesses can participate in taking the right actions to promote health equity.

This study aims to determine spatial patterns of mortality and morbidity for five health problems in an urban environment: homicides, adolescent pregnancy, asthma hospitalization, and two vector-borne diseases, dengue and visceral leishmaniasis. All events were obtained through the city health database and geoprocessed using residential addresses and 80 planning units consisting of census tracts. We used thematic maps, proportionate mortality/morbidity ratios by planning unit, and the overlapped rank of the 20th worse planning unit rates for each event. A spatial pattern of high rates of homicides, proportion of young mothers, and hospitalization due to asthma overlapped in socially and economically disadvantaged areas. For the two vector-borne diseases, high rates with great dispersion were found in underprivileged areas, in contrast with very low rates among higher income areas. The results indicated the coexistence of heavier disease burden for residents of urban areas where poverty and lack of effective public health policies may be modulating social health problems. For the two vector-borne diseases, an environmental intervention in one mosquito-borne disease might be playing a role in the other's incidence.

Introduction: Asthma is a multifactorial disease and a serious public health problem. Environmental factors and poverty are the main determinants of this disease. Objective: To describe the spatial and temporal distribution of asthma-related hospitalizations and identify the areas with the highest prevalence of and vulnerability to severe asthma in a major Brazilian city. Methods: An ecological study of hospitalizations for asthma from 2002 to 2012, in children and adolescents under 15 years of age, living in Belo Horizonte, Southeast Brazil. All events were geocoded by residence address using Hospital Information System data. The socioeconomic vulnerability of residence address was ranked using the Health Vulnerability Index. Raster surfaces were generated and time-series plots were constructed to determine spatial and time trends in the frequency of asthma-related hospitalizations, respectively. Results: Asthma-related hospitalization rates were highest in children aged 0–4 years and in boys. There was a decreasing trend in the number of asthma-related hospitalizations across the study period. Approximately 48% of all hospitalizations were children living in health vulnerable areas. Seasonal trends showed a hospitalization peak in March, April, and May, coinciding with the post-rainy period. Conclusion: Our findings suggest that social and environmental factors may be determinants of disparities in severe asthma.

No abstract