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| 1 | The effect of risk perception on the 2009 H1N1 pandemic influenza dynamics显示文摘 | Poletti P Ajelli M Merler S | | 0，，02： | 1 |
| 2 | Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions : a computational modelling analysis显示文摘 | Merler S Ajelli M Fumanelli L | 2015 | Lancet Infect Dis2015，15，2： | 1 |
| 3 | Risk perception and effectiveness of uncoordinated behavioral responses in an emerging epidemic显示文摘 | Poletti P Ajelli M Merler S | 2012 | Math Biosci2012，238，2： | 1 |
| 4 | Pandemic influenza A/H1N1pdm in Italy:age,risk and population susceptibility显示文摘 | Merler S Ajelli M Camilloni B | | 0，，10： | 1 |
| 5 | The effect of risk perception on the 2009 H1N1 pandemic influenza dynamics显示文摘 | Poletti P Ajelli M Merler S | 2011 | PloS one2011，6，2： | 1 |
| 6 | Spontaneous behavioural changes in response to epidemics显示文摘 | Poletti P Caprile B Ajelli M | 2009 | J Theor Biol2009，260，1： | 1 |
| 7 | Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis 显示文摘 | Merler S Ajelli M Fumanelli L | 2015 | Lancet Infect Dis2015，15，： | 1 |
| 8 | Transmission Dynamics and Epidemiological Characteristics of the SARS-CoV-2 Delta Variant ― Hunan Province, China, 2021显示文摘Monitoring changes in the epidemiologic features between different severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)variants is key to understanding the evolution of viral fitness in the host population.Here,we analyzed a successfully contained local outbreak of the Delta variant that took place in Hunan,China,in July–August,2021.Detailed data on SARS-CoV-2 infections and their contacts were collected during the outbreak.By leveraging these data,we estimated key epidemiological parameters,including the incubation period,serial interval,and generation time.We constructed a generalized linear mixed-effects model(GLMM)to quantify risk factors for Delta infection and transmission.Between July 28 and August 15,2021,a total of 129 infections and their 2,118 close contacts were identified during the outbreak in Hunan Province. | Kaiwei Luo Yanpeng Wu Yan Wang Ziyan Liu Lan Yi Shanlu Zhao Xuemei Yan Hao Yang Kaiyuan Sun Marco Ajelli Shixiong Hu Hongjie Yu | 2023 | China CDC weekly2023，5，3： | 0 |
| 9 | Risk Factors Associated with the Spatiotemporal Spread of the SARS-CoV-2 Omicron BA.2 Variant—Shanghai Municipality,China,2022显示文摘Summary What is already known about this topic?Previous studies have explored the spatial transmission patterns of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and have assessed the associated risk factors.However,none of these studies have quantitatively described the spatiotemporal transmission patterns and risk factors for Omicron BA.2 at the micro(within-city)scale. | Wen Zheng Xiaowei Deng Cheng Peng Xuemei Yan Nan Zheng Zhiyuan Chen Juan Yang Marco Ajelli Juanjuan Zhang Hongjie Yu | 2023 | China CDC weekly2023，5，5： | 0 |
| 10 | Estimating Changes in Contact Patterns in China Over the First Year of the COVID-19 Pandemic:Implications for SARS-CoV-2 Spread—Four Cities,China,2020显示文摘Introduction:Previous studies have demonstrated significant changes in social contacts during the firstwave coronavirus disease 2019(COVID-19)in Chinese mainland.The purpose of this study was to quantify the time-varying contact patterns by age in Chinese mainland in 2020 and evaluate their impact on the transmission of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods:Diary-based contact surveys were performed for four periods:baseline(prior to 2020),outbreak(February 2020),post-lockdown(March–May 2020),and post-epidemic(September–November 2020).We built a Susceptible-Infected-Recovered(SIR)model to evaluate the effect of reducing contacts on transmission.Results:During the post-epidemic period,daily contacts resumed to 26.7%,14.8%,46.8%,and 44.2%of the pre-COVID levels in Wuhan,Shanghai,Shenzhen,and Changsha,respectively.This suggests a moderate risk of resurgence in Changsha,Shenzhen,and Wuhan,and a low risk in Shanghai.School closure alone was not enough to interrupt transmission of SARS-CoV-2 Omicron BA.5,but with the addition of a 75%reduction of contacts at the workplace,it could lead to a 16.8%reduction of the attack rate.To control an outbreak,concerted strategies that target schools,workplaces,and community contacts are needed.Discussion:Monitoring contact patterns by age is key to quantifying the risk of COVID-19 outbreaks and evaluating the impact of intervention strategies. | Yuxia Liang Cheng Peng Qian You Maria Litvinova Marco Ajelli Juanjuan Zhang Hongjie Yu | 2023 | China CDC weekly2023，5，5： | 0 |
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