Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Zachary McCarthy"'
Modelling disease mitigation at mass gatherings: A case study of COVID-19 at the 2022 FIFA World Cup
Autor:
Martin Grunnill, Julien Arino, Zachary McCarthy, Nicola Luigi Bragazzi, Laurent Coudeville, Edward W. Thommes, Amine Amiche, Abbas Ghasemi, Lydia Bourouiba, Mohammadali Tofighi, Ali Asgary, Mortaza Baky-Haskuee, Jianhong Wu
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/8a8a458d35a94fe18f99c6bff515870c
Autor:
Mohammadali Tofighi, Ali Asgary, Ghassem Tofighi, Mahdi M. Najafabadi, Julien Arino, Amine Amiche, Ashrafur Rahman, Zachary McCarthy, Nicola Luigi Bragazzi, Edward Thommes, Laurent Coudeville, Martin David Grunnill, Lydia Bourouiba, Jianhong Wu
Publikováno v:
Tropical Diseases, Travel Medicine and Vaccines, Vol 8, Iss 1, Pp 1-11 (2022)
Abstract Background Most mass gathering events have been suspended due to the SARS-CoV-2 pandemic. However, with vaccination rollout, whether and how to organize some of these mass gathering events arises as part of the pandemic recovery discussions,
Externí odkaz:
https://doaj.org/article/49ade6295783472db4f6fc9128d4cc0d
Publikováno v:
Canada Communicable Disease Report, Vol 47, Iss 78, Pp 329-338 (2021)
Background: When public health interventions are being loosened after several days of decline in the number of coronavirus disease 2019 (COVID-19) cases, it is of critical importance to identify potential strategies to ease restrictions while mitigat
Externí odkaz:
https://doaj.org/article/737778ec88bc4eef8c20508f18b037f8
Publikováno v:
Canada Communicable Disease Report, Vol 47, Iss 78, Pp 363-372 (2021)
Contexte : Lorsque les interventions de santé publique sont assouplies après plusieurs jours de baisse du nombre de cas de maladie à coronavirus 2019 (COVID-19), il est essentiel de déterminer les stratégies potentielles pour assouplir les restr
Externí odkaz:
https://doaj.org/article/7077b65db88942e3b91ba8b4cd2e8807
Autor:
Zachary McCarthy, Yanyu Xiao, Francesca Scarabel, Biao Tang, Nicola Luigi Bragazzi, Kyeongah Nah, Jane M. Heffernan, Ali Asgary, V. Kumar Murty, Nicholas H. Ogden, Jianhong Wu
Publikováno v:
Journal of Mathematics in Industry, Vol 10, Iss 1, Pp 1-25 (2020)
Abstract Social contact mixing plays a critical role in influencing the transmission routes of infectious diseases. Moreover, quantifying social contact mixing patterns and their variations in a rapidly evolving pandemic intervened by changing public
Externí odkaz:
https://doaj.org/article/2955c0b286684dcbadb721ab18f44352
Publikováno v:
Royal Society Open Science, Vol 9, Iss 3 (2022)
The attack ratio in a subpopulation is defined as the total number of infections over the total number of individuals in this subpopulation. Using a methodology based on an age-stratified transmission dynamics model, we estimated the attack ratio of
Externí odkaz:
https://doaj.org/article/2db15d4fe5eb4cc7a8ba1acd2392410a
Publikováno v:
Journal of Mathematics in Industry, Vol 10, Iss 1, Pp 1-12 (2020)
Abstract Public health interventions have been implemented to mitigate the spread of coronavirus disease 2019 (COVID-19) in Ontario, Canada; however, the quantification of their effectiveness remains to be done and is important to determine if some o
Externí odkaz:
https://doaj.org/article/54432fd2978046d48e871600b4c13d63
Autor:
Yanyu Xiao, Shengyuan Chen, Yi Zhu, Zachary McCarthy, Nicola Luigi Bragazzi, Ali Asgary, Jianhong Wu
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
We developed a stochastic optimization technology based on a COVID-19 transmission dynamics model to determine optimal pathways from lockdown toward reopening with different scales and speeds of mass vaccine rollout in order to maximize social econom
Externí odkaz:
https://doaj.org/article/863e5f514eca43a69ffed50eadef93ab
Autor:
Biao Tang, Fan Xia, Nicola Luigi Bragazzi, Zachary McCarthy, Xia Wang, Sha He, Xiaodan Sun, Sanyi Tang, Yanni Xiao, Jianhong Wu
Publikováno v:
ISA Transactions
We conducted a comparative study of the COVID-19 epidemic in three different settings: mainland China, the Guangdong province of China and South Korea, by formulating two disease transmission dynamics models which incorporate epidemic characteristics
Modelling Disease Mitigation at Mass Gatherings: A Case Study of COVID-19 at the 2022 FIFA World Cup
Autor:
Martin Grunnill, Julien Arino, Zachary McCarthy, Nicola Luigi Bragazzi, Laurent Coudeville, Edward W. Thommes, Amine Amiche, Abbas Ghasemi, Lydia Bourouiba, Mohammadali Tofighi, Ali Asgary, Mortaza Baky-Haskuee, Jianhong Wu
The 2022 FIFA World Cup was the first major multi-continental sporting Mass Gathering Event (MGE) of the post COVID-19 era to allow foreign spectators. Such large-scale MGEs can potentially lead to outbreaks of infectious disease and contribute to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::730d5eba5bf3031dedcdba7c9df11df8
https://doi.org/10.1101/2023.03.27.23287214
https://doi.org/10.1101/2023.03.27.23287214