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Ozone as an environmental driver of influenza.
Guo, Fang; Zhang, Pei; Do, Vivian; Runge, Jakob; Zhang, Kun; Han, Zheshen; Deng, Shenxi; Lin, Hongli; Ali, Sheikh Taslim; Chen, Ruchong; Guo, Yuming; Tian, Linwei.
Afiliação
  • Guo F; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China.
  • Zhang P; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China.
  • Do V; Mailman School of Public Health, Columbia University, New York, NY, USA.
  • Runge J; Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Datenwissenschaften, Jena, Germany.
  • Zhang K; Technische Universität Berlin, Berlin, Germany.
  • Han Z; Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Deng S; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE.
  • Lin H; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China.
  • Ali ST; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China.
  • Chen R; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China.
  • Guo Y; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, PR China.
  • Tian L; Laboratory of Data Discovery for Health Limited, Hong Kong Science Park, New Territories, Hong Kong SAR, PR China.
Nat Commun ; 15(1): 3763, 2024 May 04.
Article em En | MEDLINE | ID: mdl-38704386
ABSTRACT
Under long-standing threat of seasonal influenza outbreaks, it remains imperative to understand the drivers of influenza dynamics which can guide mitigation measures. While the role of absolute humidity and temperature is extensively studied, the possibility of ambient ozone (O3) as an environmental driver of influenza has received scant attention. Here, using state-level data in the USA during 2010-2015, we examined such research hypothesis. For rigorous causal inference by evidence triangulation, we applied 3 distinct methods for data

analysis:

Convergent Cross Mapping from state-space reconstruction theory, Peter-Clark-momentary-conditional-independence plus as graphical modeling algorithms, and regression-based Generalised Linear Model. The negative impact of ambient O3 on influenza activity at 1-week lag is consistently demonstrated by those 3 methods. With O3 commonly known as air pollutant, the novel findings here on the inhibition effect of O3 on influenza activity warrant further investigations to inform environmental management and public health protection.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ozônio / Poluentes Atmosféricos / Influenza Humana Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ozônio / Poluentes Atmosféricos / Influenza Humana Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM