A
Antonio Gasparrini
Researcher at University of London
Publications - 269
Citations - 21340
Antonio Gasparrini is an academic researcher from University of London. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 53, co-authored 207 publications receiving 13969 citations. Previous affiliations of Antonio Gasparrini include Medical Research Council & University of Ottawa.
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Interrupted time series regression for the evaluation of public health interventions: a tutorial
TL;DR: This tutorial uses a worked example to demonstrate a robust approach to ITS analysis using segmented regression and describes the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders.
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Mortality risk attributable to high and low ambient temperature: a multicountry observational study
Antonio Gasparrini,Yuming Guo,Masahiro Hashizume,Eric Lavigne,Antonella Zanobetti,Joel Schwartz,Aurelio Tobias,Shilu Tong,Joacim Rocklöv,Bertil Forsberg,Michela Leone,Manuela De Sario,Michelle L. Bell,Yueliang Leon Guo,Chang-Fu Wu,Haidong Kan,Seung-Muk Yi,Micheline de Sousa Zanotti Stagliorio Coelho,Paulo Hilário Nascimento Saldiva,Yasushi Honda,Ho Kim,Ben Armstrong +21 more
TL;DR: Most of the temperature-related mortality burden was attributable to the contribution of cold, and the effect of days of extreme temperature was substantially less than that attributable to milder but non-optimum weather.
Journal ArticleDOI
Distributed lag non-linear models
TL;DR: A modelling framework that can simultaneously represent non-linear exposure–response dependencies and delayed effects, based on the definition of a ‘cross-basis’, which is implemented in the package dlnm within the statistical environment R.
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Distributed Lag Linear and Non-Linear Models in R: The Package dlnm
TL;DR: An overview of the capabilities of the DLNM package is offered, describing the conceptual and practical steps to specify and interpret DLNMs with an example of application to real data.
Journal ArticleDOI
Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
Cong Liu,Renjie Chen,Francesco Sera,Ana M. Vicedo-Cabrera,Yuming Guo,Shilu Tong,Micheline de Sousa Zanotti Stagliorio Coelho,Paulo Hilário Nascimento Saldiva,Eric Lavigne,Patricia Matus,Nicolas Valdes Ortega,Samuel David Osorio García,M. Pascal,Massimo Stafoggia,Matteo Scortichini,Masahiro Hashizume,Yasushi Honda,Magali Hurtado-Díaz,Julio Cruz,Baltazar Nunes,João Paulo Teixeira,Ho Kim,Aurelio Tobias,Carmen Iñiguez,Bertil Forsberg,Christofer Åström,Martina S. Ragettli,Yue Leon Guo,Bing-Yu Chen,Michelle L. Bell,Caradee Y. Wright,Noah Scovronick,Rebecca M. Garland,Ai Milojevic,Jan Kyselý,Aleš Urban,Hans Orru,Ene Indermitte,Jouni J. K. Jaakkola,Niilo R.I. Ryti,Klea Katsouyanni,Antonis Analitis,Antonella Zanobetti,Joel Schwartz,Jianmin Chen,Tangchun Wu,Aaron J Cohen,Aaron J Cohen,Antonio Gasparrini,Haidong Kan +49 more
TL;DR: The data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe, and reinforce the evidence of a link between mortality and PM concentration established in regional and local studies.