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.2019 Aug 1;48(4):1101-1112.
doi: 10.1093/ije/dyz008.

How urban characteristics affect vulnerability to heat and cold: a multi-country analysis

Francesco Sera  1Ben Armstrong  1Aurelio Tobias  2Ana Maria Vicedo-Cabrera  1Christofer Åström  3Michelle L Bell  4Bing-Yu Chen  5Micheline de Sousa Zanotti Stagliorio Coelho  6Patricia Matus Correa  7Julio Cesar Cruz  8Tran Ngoc Dang  9  10Magali Hurtado-Diaz  8Dung Do Van  9Bertil Forsberg  3Yue Leon Guo  5  11Yuming Guo  12  13Masahiro Hashizume  14Yasushi Honda  15Carmen Iñiguez  16Jouni J K Jaakkola  17  18Haidong Kan  19Ho Kim  20Eric Lavigne  21  22Paola Michelozzi  23Nicolas Valdes Ortega  7Samuel Osorio  24Mathilde Pascal  25Martina S Ragettli  26  27Niilo R I Ryti  17  18Paulo Hilario Nascimento Saldiva  6Joel Schwartz  28Matteo Scortichini  23Xerxes Seposo  29Shilu Tong  30  31  32Antonella Zanobetti  28Antonio Gasparrini  1
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How urban characteristics affect vulnerability to heat and cold: a multi-country analysis

Francesco Sera et al. Int J Epidemiol..

Abstract

Background: The health burden associated with temperature is expected to increase due to a warming climate. Populations living in cities are likely to be particularly at risk, but the role of urban characteristics in modifying the direct effects of temperature on health is still unclear. In this contribution, we used a multi-country dataset to study effect modification of temperature-mortality relationships by a range of city-specific indicators.

Methods: We collected ambient temperature and mortality daily time-series data for 340 cities in 22 countries, in periods between 1985 and 2014. Standardized measures of demographic, socio-economic, infrastructural and environmental indicators were derived from the Organisation for Economic Co-operation and Development (OECD) Regional and Metropolitan Database. We used distributed lag non-linear and multivariate meta-regression models to estimate fractions of mortality attributable to heat and cold (AF%) in each city, and to evaluate the effect modification of each indicator across cities.

Results: Heat- and cold-related deaths amounted to 0.54% (95% confidence interval: 0.49 to 0.58%) and 6.05% (5.59 to 6.36%) of total deaths, respectively. Several city indicators modify the effect of heat, with a higher mortality impact associated with increases in population density, fine particles (PM2.5), gross domestic product (GDP) and Gini index (a measure of income inequality), whereas higher levels of green spaces were linked with a decreased effect of heat.

Conclusions: This represents the largest study to date assessing the effect modification of temperature-mortality relationships. Evidence from this study can inform public-health interventions and urban planning under various climate-change and urban-development scenarios.

Keywords: Temperature; cities; climate; epidemiology; heat; mortality.

© The Author(s) 2019; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

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