Travel restrictions and sars-cov-2 transmission: An effective distance approach to estimate impact

Objective To estimate the effect of airline travel restrictions on the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) importation. Methods We extracted passenger volume data for the entire global airline network, as well as the dates of the implementation of travel restrictions and the observation of the first case of coronavirus disease (COVID-19) in each country or territory, from publicly available sources. We calculated effective distance between every airport and the city of Wuhan, China.

Large SARS-CoV-2 outbreak caused by asymptomatic traveler, China

An asymptomatic person infected with severe acute respiratory syndrome coronavirus 2 returned to Heilongjiang Province, China, after international travel. The traveler's neighbor became infected and generated a cluster of ≥71 cases, including cases in 2 hospitals. Genome sequences of the virus were distinct from viral genomes previously circulating in China. © 2020 Centers for Disease Control and Prevention (CDC). All rights reserved.

Testing for COVID-19: A few points to remember [Testování COVID-19– co bychom měli mít na paměti]

Diagnostic approaches to COVID-19 include clinical history, PCR tests for the presence of SARS-CoV-2 virus and detection of antibodies. By combining these three approaches, the seroprevalence of anti–SARSCoV- 2 antibodies can be examined in healthcare teams. The aim of the study was to examine the seroprevalence of anti–SARSCoV- 2 antibodies in a population of healthcare professionals 6–8 weeks after the first COVID-19 case was detected in the Czech Republic. A total of 269 subjects were enrolled in the study (187 women, 82 men) with a median age of 45.9 years (21 – 71 years).

Analysis on early spatiotemporal transmission characteristics of COVID-19 [新型冠状病毒肺炎早期时空传播特征分析]

In this paper, a simple susceptible-infected (SI) model is build for simulating the early phase of COVID-19 transmission process. By using the data collected from the newest epidemiological investigation, the parameters of SI model is estimated and compared with those from some other studies. The population migration data during Spring festival in China are collected from Baidu.

Epidemie features of Coronavirus disease 2019 in Henan Province

Objective: To analyze the regional epidemic features of Coronavirus disease 2019 (COVID-19) in Henan Province, China. Methods: According to the data of COVID-19 patients and the resident population at the end of 2018 in Henan Province, statistical description and analysis of epidemiological characteristics of COVID-19 in Henan Province were conducted, including the time distribution, population distribution, and regional distribution. Results: The cumulative incidence of COVID-19 in Henan Province was 1.32/100 000, the cure rate was 98.03%, and the fatality rate was 1.73% by March 9, 2020.

The Geographical Destination Distribution and Effect of Outflow Population of Wuhan When the Outbreak of COVID-19 [新冠肺炎爆发前期武汉外流人口的地理去向分布及影响]

In this paper, we provide a statistical analysis of population movements leaving Wuhan based on mass population movement information which is collected by geographic services of Tencent and Baidu. Firstly, we find that the five million people leaving Wuhan before the official announcement that they will close the exits are not much different from the normal population movement during the previous Spring Festival travel rush. However, small portion of the population poured out of Wuhan in the last period before the exits closed.

Preliminary Study on Clinical Features and CT Findings of Common-type Coronavirus Disease 2019 Patients in Peking Union Medical College Hospital

Objective To summarize the clinical characteristics and chest CT findings of coronavirus disease 2019(COVID-19)patients in Peking Union Medical College Hospital(PUMCH). Methods A total of 13 patients with COVID-19 confirmed at PUMCH from January 20 to February 6,2020 were selected as the research subjects.Their epidemiological histories,clinical characteristics,laboratory tests,and chest CT findings were analyzed retrospectively.The location,distribution,density,and other accompanying signs of abnormal lung CT lesions were recorded,and the clinical types of these patients were assessed.

Risk assessment of global COVID-19 imported cases into China

目的: 评估全球新型冠状病毒肺炎(COVID-19)疫情对我国的输入风险。 方法: 基于收集的疫情数据(各国家每日累计确诊病例数、境外输入病例累计确诊病例数)、人口学数据(各国人口密度、人口数)、旅客潜在来源群体信息(华侨华人常住人口数、在外中国留学生数、海外务工人员数、来华留学生数、航班旅客数估计)和全球健康安全指数(GHS)等信息,进行近期(2月1日-4月25日)和未来(4月26日-)风险分析及预测,构建输入风险得分。 结果: 各国境外输入病例数、累计确诊数、罹患率、华侨华人数、境外留学生数、来华留学生数、航班乘客数和GHS变量间有较强的正相关性。近期风险分析中,俄罗斯输入病例明显较高,英国、美国、法国、西班牙次之。在未来风险预测中,通过各国罹患率指数和平均每日入境乘客数估计值两项信息,评估美国、新加坡等44个国家为未来潜在高风险国家。 结论: 通过COVID-19疫情各国家输入风险评估,可以识别近期及未来的高风险区域,为加强疫情防控,为最终战胜疫情提高帮助。.Objective: To assess the risk of COVID-19 foreign imports cases to China.