COVID-19 in a Designated Infectious Diseases HospitalOutside Hubei Province,China

AbstractBackgroundA new type of novel coronavirus infection (COVID-19) occurred in Wuhan, Hubei Province. Previous investigations reported patients in Wuhan city often progressed into severe or critical and had a high mortality rate.The clinical characteristics of affected patients outside the epicenter of Hubei province are less well understood.MethodsAll confirmed COVID-19 case treated in the Third People’s Hospital of Shenzhen,from January 11, 2020 to February 6, 2020, were included in this study. We analyzed the epidemiological and clinical features of these cases to better inform patient management in normal hospital settings.ResultsAmong the 298 confirmed cases, 233(81.5%) had been to Hubei while 42(14%) had not clear epidemiological history. Only 192(64%) cases presented with fever as initial symptom. The lymphocyte count decreased in 38% patients after admission. The number (percent) of cases classified as non-severe and severe was 240(80.6%) and 58(19.4%) respectively. Thirty-two patients (10.7%) needed ICU care. Compared to the non-severe cases, severe cases were associated with older age, underlying diseases, as well as higher levels of CRP, IL-6 and ESR. The median (IRQ) duration of positive viral test were 14(10-19). Slower clearance of virus was associated with higher risk of progression to severe clinical condition. As of February 14, 2020, 66(22.1%) patients were discharged and the overall mortality rate remains 0.ConclusionsIn a designated hospital outside the Hubei Province, COVID-19 patients were mainly characterized by mild symptoms and could be effectively manage by properly using the existing hospital system.

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Trends and prediction in daily incidence of novel coronavirus infection in China, Hubei Province and Wuhan City: an application of Farr’s law

10.1101/2020.02.19.20025148 ◽

2020 ◽

Cited By ~ 2

Author(s):

Jie Xu ◽

Yajiao Cheng ◽

Xiaoling Yuan ◽

Wei V. Li ◽

Lanjing Zhang

Keyword(s):

Hubei Province ◽

Upward Trend ◽

Wuhan City ◽

Single Digit ◽

Incidence Data ◽

Model Based ◽

China Studies ◽

Coronavirus Infection ◽

Novel Coronavirus ◽

Incident Cases

AbstractBackgroundThe recent outbreak of novel coronavirus (2019-nCoV) has infected tens of thousands of patients in China. Studies have forecasted future trends of the incidence of 2019-nCoV infection, but appeared unsuccessful. Farr’s law is a classic epidemiology theory/practice for predicting epidemics. Therefore, we used and validated a model based on Farr’s law to predict the daily-incidence of 2019-nCoV infection in China and 2 regions of high-incidence.MethodsWe extracted the 2019-nCoV incidence data of China, Hubei Province and Wuhan City from websites of the Chinese and Hubei health commissions. A model based on Farr’s law was developed using the data available on Feb. 8, 2020, and used to predict daily-incidence of 2019-nCoV infection in China, Hubei Province and Wuhan City afterward.ResultsWe observed 50,995 (37001 on or before Feb. 8) incident cases in China from January 16 to February 15, 2020. The daily-incidence has peaked in China, Hubei Providence and Wuhan City, but with different downward slopes. If no major changes occur, our model shows that the daily-incidence of 2019-nCoV will drop to single-digit by February 25 for China and Hubei Province, but by March 8 for Wuhan city. However, predicted 75% confidence intervals of daily-incidence in all 3 regions of interest had an upward trend. The predicted trends overall match the prospectively-collected data, confirming usefulness of these models.ConclusionsThis study shows the daily-incidence of 2019-nCoV in China, Hubei Province and Wuhan City has reached the peak and was decreasing. However, there is a possibility of upward trend.

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COVID-19: Diagnosis, Management and Response

Journal of Pharmaceutical Research International ◽

10.9734/jpri/2021/v33i40b32276 ◽

2021 ◽

pp. 161-170

Author(s):

Ashwini Shalikrao Mhaske ◽

Swaroopa Chakole

Keyword(s):

Severe Acute Respiratory Syndrome ◽

Hubei Province ◽

Positive Patient ◽

The Novel ◽

Wuhan City ◽

Corona Virus ◽

Early Reaction ◽

Novel Coronavirus ◽

Predetermined Number

Background: COVID infection 2019 (COVID-19) is identified as a disease caused by Corona virus formally known as severe acute respiratory syndrome (SARS-CoV-2), which was first detected in Wuhan City, Hubei Province, China, amidst of an outbreak of respiratory sickness cases. Summary: As there is no affirmed total course of treatment for the Novel Coronavirus, the best way to handle it is by playing it safe, its administration and early reaction. Segregation and disinfection go inseparably with regards to dealing with a COVID positive patient. In any case, the predetermined number of clinical office accessible is blocking the cycle of control and anticipation for a particularly number of infected patients. Conclusion: As the pandemic is advancing, more examinations and exploration is needed to effectively deal with the spread of the novel Corona virus. Foundation improvement and arrangement of clinical office and gear is the preeminent prerequisite for early reaction and treatment.

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Update on recommendations for the diagnosis and treatment of SARS-CoV-2 infection in children

European Journal of Clinical Microbiology & Infectious Diseases ◽

10.1007/s10096-020-03973-x ◽

2020 ◽

Vol 39 (12) ◽

pp. 2211-2223 ◽

Cited By ~ 2

Author(s):

Hongjun Miao ◽

Han Li ◽

Yinying Yao ◽

Mingfu Wu ◽

Chao Lu ◽

...

Keyword(s):

Treatment Strategies ◽

Diagnosis And Treatment ◽

The Novel ◽

Treatment Standards ◽

Wuhan City ◽

Health Committee ◽

Coronavirus Infection ◽

Novel Coronavirus ◽

The Impact ◽

Pneumonia Diagnosis

AbstractSince the outbreak of novel coronavirus infection pneumonia in Wuhan City, China, in late 2019, such cases have been gradually reported in other parts of China and abroad. Children have become susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) because of their immature immune function. As the outbreak has progressed, more cases of novel coronavirus infection/pneumonia in children have been reported. Compared with adults, the impact of SARS-CoV-2 infection in children is less severe, with a lower incidence and susceptibility in children, which results in fewer children being tested, thereby underestimating the actual number of infections. Therefore, strengthening the diagnosis of the disease is particularly important for children, and early and clear diagnosis can determine treatment strategies and reduce the harm caused by the disease to children. According to the Novel Coronavirus Infection Pneumonia Diagnosis and Treatment Standards (trial version 7) issued by National Health Committee and the latest diagnosis and treatment strategies for novel coronavirus infection pneumonia in children, this review summarizes current strategies on diagnosis and treatment of SARS-CoV-2 infection in children.

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Estimation of local novel coronavirus (COVID-19) cases in Wuhan, China from off-site reported cases and population flow data from different sources

10.1101/2020.03.02.20030080 ◽

2020 ◽

Cited By ~ 3

Author(s):

Zian Zhuang ◽

Peihua Cao ◽

Shi Zhao ◽

Yijun Lou ◽

Shu Yang ◽

...

Keyword(s):

Likelihood Estimation ◽

Hubei Province ◽

Flow Data ◽

Daily Newspaper ◽

Wuhan City ◽

Spring Festival ◽

Log Likelihood ◽

Novel Coronavirus ◽

Different Sources

AbstractBackgroundsIn December 2019, a novel coronavirus (COVID-19) pneumonia hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate total number of cases of COVID-19 in Wuhan, by 23 January 2020, given the cases reported in other cities and population flow data between cities.MethodsWe built a model to estimate the total number of cases in Wuhan by 23 January 2020, based on the number of cases detected outside Wuhan city in China, with the assumption that if the same screening effort used in other cities applied in Wuhan. We employed population flow data from different sources between Wuhan and other cities/regions by 23 January 2020. The number of total cases was determined by the maximum log likelihood estimation.FindingsFrom overall cities/regions data, we predicted 1326 (95% CI: 1177, 1484), 1151 (95% CI: 1018, 1292) and 5277 (95% CI: 4732, 5859) as total cases in Wuhan by 23 January 2020, based on different source of data from Changjiang Daily newspaper, Tencent, and Baidu. From separate cities/regions data, we estimated 1059 (95% CI: 918, 1209), 5214 (95% CI: 4659, 5808) as total cases in Wuhan in Wuhan by 23 January 2020, based on different sources of population flow data from Tencent and Baidu.ConclusionSources of population follow data and methods impact the estimates of local cases in Wuhan before city lock down.

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Epidemic Situation of Novel Coronavirus Pneumonia in China mainland

10.1101/2020.02.17.20024034 ◽

2020 ◽

Cited By ~ 3

Author(s):

Youbin Liu ◽

Liming Gong ◽

Baohong Li

Keyword(s):

Prevention And Control ◽

Turning Point ◽

Hubei Province ◽

Wuhan City ◽

Novel Coronavirus ◽

China Mainland ◽

And Control

AbstractObjectiveAnalyze the occurrence of novel coronavirus pneumonia(NCP) in China mainland, explore the epidemiological rules, and evaluate the effect of prevention and control.MethodsFrom December 1, 2019 to March 4, 2020, Analysis of 80,409 confirmed cases of NCP in China mainland.ResultsFrom December 1, 2019 to March 4, 2020, a total of 80,409 cases of NCP were confirmed in China mainland, a total of 67,466 cases were confirmed in Hubei Province, a total of 49,671 cases were confirmed in Wuhan city. From December 1, 2019 to March 4, 2020, a total of 3,012 cases of NCP deaths in China mainland, the mortality was 3.75% (3012/80,409); A total of 52045 cases of cured in China mainland; The turning point of the epidemic have been reached since February 18.2020 in China mainland; The spread index of NCP gradually declined since January 27. 2020, and the extinction index of NCP rose little by little since January 29, 2020.ConclusionFrom December 1, 2019 to March 4, 2020, NCP is under control, and the trend of the epidemic will eventually disappear; The turning point of an epidemic that I’ve created is a great indicator that can calculate the turning date of an outbreak and provide a basis for scientific prevention.

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The Advice of Provision and Circulation of Basic Agricultural Product Under 2019 Novel Coronavirus in China

Journal of Agricultural Science ◽

10.5539/jas.v12n5p1 ◽

2020 ◽

Vol 12 (5) ◽

pp. 1

Author(s):

Xiaoshun Qin ◽

Taopeng Zhang ◽

Victor M. Mmbengwa

Keyword(s):

Rural Area ◽

Hubei Province ◽

The Other ◽

High Tech ◽

Agricultural Product ◽

Chinese People ◽

Wuhan City ◽

Novel Coronavirus ◽

Trade Market ◽

At Home

Since December 2019, the unknown virus was the diagnosis in Wuhan city, Hubei Province, the centre of China, where was been shut down to prevent the outbreak of epidemic on 23 January 2020. As of now, the majority of Chinese people have been self-quarantine at home for more than 25 days. The lack of provision and circulation of agri-product is an essential and indispensable problem for common masses. This article describes the advice and thought of provision and circulation of agri-product under the outbreak of COVID 2019 from six aspects (government, e-business, supermarket, agri-trade market for sale, high-tech delivery as well as rural area or village) in combination of the reality of China to the other country can learn some lesson from Chinese countermeasures to deal with provision and circulation of agri-product under the outbreak of epidemic.

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Epidemiological Analysis of Asymptomatic SARS-CoV-2 Novel Coronavirus Infection Cases in Yinchuan City of Ningxia

Journal of Clinical and Nursing Research ◽

10.26689/jcnr.v5i1.1757 ◽

2021 ◽

Vol 5 (1) ◽

Author(s):

Lijun Chen ◽

Wang Xu ◽

Juanxia Chen ◽

Chunyan Xia ◽

Liang Xie

Keyword(s):

Close Contact ◽

Asymptomatic Infection ◽

Antibody Detection ◽

Research Subjects ◽

Normal Range ◽

History Of ◽

Coronavirus Infection ◽

Novel Coronavirus ◽

Underlying Diseases ◽

Epidemiological Characteristics

Objective: To analyze the epidemiological characteristics of asymptomatic SARS-CoV-2 novel coronavirus infection cases in Yinchuan City, Ningxia. Methods: Cases of asymptomatic SARS-CoV-2 novel coronavirus infections discovered in Yinchuan City from February 2020 to April 2020 were taken as the research subjects, epidemiological and laboratory examination data were collected, and statistics and analysis were conducted. Results: Among the 10 cases of asymptomatic infection, 6 were males and 4 were females, with an average age of (34.3±2.1) years; 2 cases had a history of living in Hubei, 8 cases had a history of close contact with confirmed cases; 6 cases had no other underlying diseases while the other 4 cases were accompanied by one or more underlying diseases; 6 cases were diagnosed as asymptomatic infection by serum-specific IgM antibody detection; 4 cases were diagnosed as asymptomatic infection by throat swab testing; there were 4 cases with alanine base transferase level higher than the normal range, 2 cases with aspartate aminotransferase level higher than the normal range, and 3 cases with D-dimer level out of the normal range. Conclusion: The asymptomatic SARS-CoV-2 novel coronavirus infection has certain clinical characteristics; it is infectious and has insidious characteristics. Even if medical observation is dismissed, monitoring is still needed to prevent the pandemic from rebounding.

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COVID-19: An effective vaccine is needed

Bionatura ◽

10.21931/rb/2020.05.02.1 ◽

2020 ◽

Vol 5 (2) ◽

pp. 1097-1098

Author(s):

Lisset Hermida ◽

Ricardo Silva

Keyword(s):

South Korea ◽

Hubei Province ◽

Effective Vaccine ◽

Wuhan City ◽

Novel Coronavirus

A novel coronavirus named SARS-CoV-2 is responsible for the present pneumonia outbreak called COVID-19 that started in early December 2019 in Wuhan City, Hubei province, China. Until March 12, SARS-CoV-2 had caused 80980 infections and 3173 deaths in China, but even worst, it is currently spreading fast in other countries, reaching 45293 infections and 1460 deaths outside China, being the most affected countries Italy, Iran and South Korea

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Simulating and Forecasting the Cumulative Confirmed Cases of SARS-CoV-2 in China by Boltzmann Function-based Regression Analyses

10.1101/2020.02.16.20023564 ◽

2020 ◽

Cited By ~ 1

Author(s):

Xinmiao Fu ◽

Qi Ying ◽

Tieyong Zeng ◽

Tao Long ◽

Yan Wang

Keyword(s):

Confidence Interval ◽

Mainland China ◽

Hubei Province ◽

Atypical Pneumonia ◽

Cumulative Number ◽

Regression Analyses ◽

Wuhan City ◽

Boltzmann Function ◽

Geographic Regions ◽

Novel Coronavirus

AbstractAn ongoing outbreak of atypical pneumonia caused by the 2019 novel coronavirus (SARS-CoV-2) is hitting Wuhan City and has spread to other provinces/cities of China and overseas. It very urgent to forecast the future course of the outbreak. Here, we provide an estimate of the potential total number of confirmed cases in mainland China by applying Boltzmann-function based regression analyses. We found that the cumulative number of confirmed cases from Jan 21 to Feb 14, 2020 for mainland China, Hubei Province, Wuhan City and other provinces were all well fitted with the Boltzmann function (R2 being close to 0.999). The potential total number of confirmed cases in the above geographic regions were estimated at 95% confidence interval (CI) as 79589 (71576, 93855), 64817 (58223, 77895), 46562 (40812, 57678) and 13956 (12748, 16092), respectively. Notably, our results suggest that the number of daily new confirmed cases of SARS-CoV-2 in mainland China (including Hubei Province) will become minimal between Feb 28 and Mar 10, 2020, with 95% CI. In addition, we found that the data of cumulative confirmed cases of 2003 SARS-CoV in China and Worldwide were also well fitted to the Boltzmann function. To our knowledge this is the first study revealing that the Boltzmann function is suitable to simulate epidemics. The estimated potential total number of confirmed cases and key dates for the SARS-CoV-2 outbreak may provide certain guidance for governments, organizations and citizens to optimize preparedness and response efforts.

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HEALTHY LIVING PATTERNS TO PREVENT COVID-19

Conferences of Medical Sciences Dies Natalis Faculty of Medicine Universitas Sriwijaya ◽

10.32539/dies.v2i1.47 ◽

2020 ◽

Vol 2 (1) ◽

pp. 107-112

Author(s):

Indri Seta Septadina

Keyword(s):

Epidemiological Data ◽

World Health ◽

Viral Diseases ◽

Number Of Patients ◽

The World ◽

New Type ◽

Coronavirus Infection ◽

Novel Coronavirus ◽

Health Organization ◽

Influenza H1n1

Viruses are one of the causes of infectious diseases that need to be watched out for. In the last 20 years, several viral diseases have caused epidemics such as severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002-2003, influenza H1N1 in 2009 and Middle East Respiratory syndrome (MERS-CoV) which was first identified in Saudi Arabia in year 2012. On December 31, 2019, China reported a case of mysterious pneumonia of unknown cause. Within 3 days, the number of patients with these cases was 44 patients and continues to increase until now there are millions of cases. Initially, the epidemiological data showed that 66% of patients were related to or exposed to a seafood market or live market in Wuhan, Hubei Province, China. Samples of isolates from patients were studied with the results showing the presence of coronavirus infection, a new type of betacoronavirus, named 2019 novel Coronavirus (2019-nCoV). On February 11, 2020, the World Health Organization named the new virus SARS-CoV-2 and the disease name as Coronavirus Disease 2019 (COVID-19). The corona virus is the main pathogen causing an outbreak of respiratory disease. On March 11, 2020, WHO announced that COVID-19 was becoming a pandemic in the world.

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