A mathematical model for the spatiotemporal epidemic spreading of COVID19
Author:
Arenas AlexORCID, Cota Wesley, Gómez-Gardeñes JesúsORCID, Gómez SergioORCID, Granell ClaraORCID, Matamalas Joan T.ORCID, Soriano DavidORCID, Steinegger BenjaminORCID
Abstract
An outbreak of a novel coronavirus, named SARS-CoV-2, that provokes the COVID-19 disease, was first reported in Hubei, mainland China on 31 December 2019. As of 20 March 2020, cases have been reported in 166 countries/regions, including cases of human-to-human transmission around the world. The proportions of this epidemics is probably one of the largest challenges faced by our interconnected modern societies. According to the current epidemiological reports, the large basic reproduction number, R0 ∼ 2.3, number of secondary cases produced by an infected individual in a population of susceptible individuals, as well as an asymptomatic period (up to 14 days) in which infectious individuals are undetectable without further analysis, pave the way for a major crisis of the national health capacity systems. Recent scientific reports have pointed out that the detected cases of COVID19 at young ages is strikingly short and that lethality is concentrated at large ages. Here we adapt a Microscopic Markov Chain Approach (MMCA) metapopulation mobility model to capture the spread of COVID-19. We propose a model that stratifies the population by ages, and account for the different incidences of the disease at each strata. The model is used to predict the incidence of the epidemics in a spatial population through time, permitting investigation of control measures. The model is applied to the current epidemic in Spain, using the estimates of the epidemiological parameters and the mobility and demographic census data of the national institute of statistics (INE). The results indicate that the peak of incidence will happen in the first half of April 2020 in absence of mobility restrictions. These results can be refined with improved estimates of epidemiological parameters, and can be adapted to precise mobility restrictions at the level of municipalities. The current estimates largely compromises the Spanish health capacity system, in particular that for intensive care units, from the end of March. However, the model allows for the scrutiny of containment measures that can be used for health authorities to forecast with accuracy their impact in prevalence of COVID–19. Here we show by testing different epidemic containment scenarios that we urge to enforce total lockdown to avoid a massive collapse of the Spanish national health system.
Publisher
Cold Spring Harbor Laboratory
Reference42 articles.
1. Jonathan M Read , Jessica RE Bridgen , Derek AT Cummings , Antonia Ho , and Chris P Jewell . Novel coronavirus 2019-nCoV: early estimation of epidemiological parameters and epidemic predictions. medRxiv, page 2020.01.23.20018549, jan 2020. 2. Qun Li , Xuhua Guan , Peng Wu , Xiaoye Wang , Lei Zhou , Yeqing Tong , Ruiqi Ren , Kathy S.M. Leung , Eric H.Y. Lau , Jessica Y. Wong , Xuesen Xing , Nijuan Xiang , Yang Wu , Chao Li , Qi Chen , Dan Li , Tian Liu , Jing Zhao , Man Liu , Wenxiao Tu , Chuding Chen , Lianmei Jin , Rui Yang , Qi Wang , Suhua Zhou , Rui Wang , Hui Liu , Yinbo Luo , Yuan Liu , Ge Shao , Huan Li , Zhongfa Tao , Yang Yang , Zhiqiang Deng , Boxi Liu , Zhitao Ma , Yanping Zhang , Guoqing Shi , Tommy T.Y. Lam , Joseph T. Wu , George F. Gao , Benjamin J. Cowling , Bo Yang , Gabriel M. Leung , and Zijian Feng . Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia. New England Journal of Medicine, jan 2020. 3. Yang Yang , Qingbin Lu , Mingjin Liu , Yixing Wang , Anran Zhang , Neda Jalali , Natalie Dean , Ira Longini , M. Elizabeth Halloran , Bo Xu , Xiaoai Zhang , Liping Wang , Wei Liu , and Liqun Fang . Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China. medRxiv, page 2020.02.10.20021675, feb 2020. 4. Wei-jie Guan , Zheng-yi Ni , Yu Hu , Wen-hua Liang , Chun-quan Ou , Jian-xing He , Lei Liu , Hong Shan , Chun-liang Lei , David SC Hui , Bin Du , Lan-juan Li , Guang Zeng , Kowk-Yung Yuen , Ru-chong Chen , Chun-li Tang , Tao Wang , Ping-yan Chen , Jie Xiang , Shi-yue Li , Jin-lin Wang , Zi-jing Liang , Yi-xiang Peng , Li Wei , Yong Liu , Ya-hua Hu , Peng Peng , Jian-ming Wang , Ji-yang Liu , Zhong Chen , Gang Li , Zhi-jian Zheng , Shao-qin Qiu , Jie Luo , Chang-jiang Ye , Shao-yong Zhu , and Nan-shan Zhong . Clinical characteristics of 2019 novel coronavirus infection in China. medRxiv, page 2020.02.06.20020974, feb 2020. 5. Julien Riou and Christian L. Althaus . Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 25(4), 2020.
Cited by
101 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|