Understanding the varied effects of urban environments on our health have arisen through centuries of observation and analysis. Various units of observation, when compiled spatially or linearly, have provided considerable understanding of the causal pathways between environmental exposures in cities and associated mortality and morbidity. With growing urban agglomerations and a digital age providing timely and standardized data, unique insights are being provided that further enhance the understanding of urban health. No longer is there a potential lack of urban data; over the 2010–2020 decade alone, the resolution and standardization of satellite and street imagery, for example, alongside methods of artificial intelligence such as self-supervision methods, have meant that technology and its capacity have surpassed the accuracy and resolution of many administrative data collections typically used for urban health research. From Bills of Mortality in 1665 to 20th century surveillance systems to the innovation and global reach in the period of “big data,” data has been the mainstay of decision support systems over the centuries. This new world of big data characterized by volume, velocity, variety, veracity, variability, volatility, and value is paramount to answering the significant urban health challenges of the 21st century.
Mark Stevenson, Jason Thompson, and Thanh Ho
Noncommunicable diseases (NCDs) have become the first cause of morbidity and mortality around the world. These have been targeted by most governments because they are associated with well-known risk factors and modifiable behaviors. Migrants present, as any population subgroup, peculiarities with regard to NCDs and, more relevantly, need specific information on associated risk factors to appropriately target policies and interventions. The country of origin, assimilation process, and many other migrant health aspects well studied in the literature can be related to migrants’ health risk factors. In most countries, existing sources of information are not sufficient or should be revised, and new sources of data should be found. Existing survey systems can meet organizational difficulties in changing their questionnaires; moreover, the number of changes in the adopted questionnaire should be limited for the sake of brevity to avoid excessive burden on respondents. Nevertheless, a limited number of additional variables can offer a lot of information on migrant health. Migrant status, country of origin, time of arrival should be included in any survey concerned about migrant health. These, along with information on other Social Determinants of Health and access to health services, can offer fundamental information to better understand migrants’ health and its evolution as they live in their host countries. Migrants are often characterized by a better health status, in comparison with the native population, which typically is lost over the years. Public health and health promotion could have a relevant role in modifying, for the better, this evolution, but this action must be supported by timely and reliable information.