s u m m a r yBackground: Since the first case of a novel coronavirus infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Beijing. We analyzed the data of 262 confirmed cases to determine the clinical and epidemiological characteristics of COVID-19 in Beijing. Methods: We collected patients who were transferred by Beijing Emergency Medical Service to the designated hospitals. The information on demographic, epidemiological, clinical, laboratory test for the COVID-19 virus, diagnostic classification, cluster case and outcome were obtained. Furthermore we compared the characteristics between severe and common confirmed cases which including mild cases, no-pneumonia cases and asymptomatic cases, and we also compared the features between COVID-19 and 2003 SARS. Findings: By Feb 10, 2020, 262 patients were transferred from the hospitals across Beijing to the designated hospitals for special treatment of the COVID-19 infected by Beijing emergency medical service. Among of 262 patients, 46 (17.6%) were severe cases, 216 (82.4%) were common cases, which including 192 (73.3%) mild cases, 11(4.2%) non-pneumonia cases and 13 (5.0%) asymptomatic cases respectively. The median age of patients was 47.5 years old and 48.5% were male. 192 (73.3%) patients were residents of Beijing, 50 (26.0%) of which had been to Wuhan, 116 (60.4%) had close contact with confirmed cases, 21 (10.9%) had no contact history. The most common symptoms at the onset of illness were fever (82.1%), cough (45.8%), fatigue (26.3%), dyspnea (6.9%) and headache (6.5%). The median incubation period was 6.7 days, the interval time from between illness onset and seeing a doctor was 4.5 days. As of Feb 10, 17.2% patients have discharged and 81.7% patients remain in hospital in our study, the fatality of COVID-19 infection in Beijing was 0.9%. Interpretation: On the basis of this study, we provided the ratio of the COVID-19 infection on the severe cases to the mild, asymptomatic and non-pneumonia cases in Beijing. Population was generally susceptible, and with a relatively low fatality rate. The measures to prevent transmission was very successful at early stage, the next steps on the COVID-19 infection should be focused on early isolation of patients and quarantine for close contacts in families and communities in Beijing.

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Since the outbreak of 2019 novel coronavirus (COVID-19), which has spread in the world rapidly. Population have a susceptibility to COVID-19, older people were more susceptible to have a variety diseases than younger, including COVID-19 infection with no doubt. This study focused on older patients with COVID-19 infection and analyzed the epidemiological and clinical characteristics of them. Methods: We collected information on confirmed older patient transferred by Beijing Emergency Medical Service (EMS) to the designated hospitals from Jan 20 to Feb 29, 2020. The information including demographic, epidemiological, clinical, classification of severity and outcomes. All cases were categorized into three groups and compared the difference between aged 50-64 years, 65-79 years and older than 80 years. Results: 56.7 % of elderly confirmed patients were male, fever (78.3 %), cough (56.7 %), dyspnea (30.0 %), and fatigue (23.3 %) were common symptoms of COVID-19 infection. Classification of severity has statistically significant differences between the three groups, compared with middle-aged patients and aged 65-79 years group, older than 80 years group had significant statistical differences in contacted to symptomatic case in 14 days. As of Feb 29, 38.3 % patients had discharged and 53.3 % patients remained in hospital in our study, the fatality of COVID-19 infection in elderly was 8.3 %. Conclusions: The COVID-19 infection is generally susceptible with a relatively high fatality rate in older patients, we should pay more attention to the elderly patients with COVID-19 infection.

Haze is an atmospheric phenomenon in which dry particulate pollutants obscure the sky. Haze has been associated with chronic diseases, but its relationship with acute diseases is less clear. We aimed to determine the association between haze and acute cardiovascular, cerebrovascular, and respiratory diseases, in order to determine the influence of haze on human health. We compared the number of cases of acute cardiovascular, cerebrovascular, and respiratory diseases in Beijing Emergency Center between 2006 and 2013, with haze data from Beijing Observatory. The relationship between the number of hazy days and the number of cases of the above types of diseases was analyzed using univariate analyses. Both the number of cases and the number of hazy days showed a rising trend. The average number of cases per day for all three diseases was higher on hazy days than on non-hazy days. There was a positive correlation between the number of hazy days and the number of cases, and this correlation showed a hysteretic quality. Haze has an influence on acute cardiovascular (CVDs), cerebrovascular (CBDs), and respiratory system (RSDs) diseases. Haze seems to have an additive effect, since the associations between haze and number of cases were stronger in the following month than in the preceding month. The increasing trend in the number of hazy days might worsen the problem of haze-related diseases.

Objectives To explore the potential of SARS-CoV-2 spread during air travel and the risk of in-flight transmission. Methods We enrolled all passengers and crew suspected of being infected with SARS-CoV-2, who bounded for Beijing on international flights. We specified the characteristics of all confirmed cases of COVID-19 infection and utilised Wells-Riley equation to estimate the infectivity of COVID-19 during air travel. Results We screened 4492 passengers and crew with suspected COVID-19 infection, verified 161 confirmed cases (mean age 28.6 years), and traced two confirmed cases who may have been infected in the aircraft. The estimated infectivity was 375 quanta/h (range 274–476), while the effective infectivity was only 4 quanta/h (range 2–5). The risk of per-person infection during a 13 h air travel in economy class was 0.56‰ (95% CI 0.41‰–0.72‰). Conclusion We found that the universal use of face masks on the flight, together with the plane's ventilation system, significantly decreased the infectivity of COVID-19. KEY MESSAGES The COVID-19 pandemic is changing the lifestyle in the world, especially air travel which has the potential to spread SARS-CoV-2. The universal use of face masks on the flight, together with the plane's ventilation system, significantly decreased the infectivity of COVID-19 on an aircraft. Our findings suggest that the risk of infection in aircraft was negligible.

Background Millions of cases of the novel coronavirus disease 2019 (COVID-19) have been reported in the world. Although it is known that the air travel has the potential to spread SARS-CoV-2, the risk of in-flight transmission is unknown.Methods We enrolled all passengers and crew suspected of being infected with SARS-CoV-2, who bounded for Beijing on international flights. We specified the characteristics of all confirmed cases of COVID-19 infection and utilized Wells-Riley equation to estimate the infectivity of COVID-19 during air travel.Results We screened 4492 passengers and crew with suspected COVID-19 infection, verified 161 confirmed cases (mean age 28.6 years), and traced two confirmed cases who may have been infected in the aircraft. The estimated infectivity was 375 quanta/h (range 274-476), while the effective infectivity was only 4 quanta/h (range 2-5). The risk of per-person infection during a 13 hours air travel in economy class was 0.56‰ (95% CI 0.41‰-0.72‰). Conclusion We found that the universal use of face masks on the flight, together with the plane's ventilation system, significantly decreased the infectivity of COVID-19.

Background: Since the end of 2019 to the present day, the outbreak of the coronavirus disease 2019 (COVID-19) has had an immense impact on China and on other countries worldwide. This outbreak represents a serious threat to the lives and health of people all around the world. The epidemic first broke out in Wuhan, where the Chinese government was unable to prevent the spread of the disease by implementing home quarantine measures. Mobile cabin hospitals were used to relieve pressure on hospitals due to the need for beds while also isolating the sources of the infection through a centralized quarantine and treatment of mild cases. Method: This paper reviewed and summarized the treatment of patients with mild illness and symptoms during the period from the construction to the closing of the Hanyang Mobile Cabin Hospital in Wuhan, China, and presented the operational elements and possible improvements of running this hospital. Results: Mobile cabin hospitals helped China to curb the epidemic in only 2 incubation periods in 28 days.The basic conditions required for a normal operation of mobile cabin hospitals included the selection of the environment, medical staff to patient ratio, organizational structure, management model, admission criteria, treatment approaches, discharge process, livelihood guarantee, security, and other safeguarding measures. All of these components were performed carefully in Wuhan Hanyang Mobile Cabin Hospital, without medical staff being infected. Conclusion: The mobile cabin hospital compulsory quarantine for mild patients was an alternative method to combat COVID-19. It is hoped that the presented work in this manuscript can serve as a reference for the emergency prevention and control measures for global epidemic outbreaks.

Background: Corona Virus Disease 2019 (COVID-19) emerged across the world, and the disease course can be affected by health-seeking behavior of patients. This study aimed to explore the influence of the health-seeking behavior of patients with COVID-19 on disease process. Methods:A retrospective study was conducted to analyze the health-seeking behavior of discharged patients with COVID-19 infection. Patients were categorized into three groups based on the times of visiting hospital, and the Mann-Whitney U and the Chi-square test were used to compare the difference.