scholarly journals COVID-19: An effective vaccine is needed

Bionatura ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 1097-1098
Author(s):  
Lisset Hermida ◽  
Ricardo Silva

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

Author(s):  
Qingxian Cai ◽  
Deliang Huang ◽  
Pengcheng Ou ◽  
Hong Yu ◽  
Zhibin Zhu ◽  
...  

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.


Author(s):  
Ashwini Shalikrao Mhaske ◽  
Swaroopa Chakole

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.


Author(s):  
Zian Zhuang ◽  
Peihua Cao ◽  
Shi Zhao ◽  
Yijun Lou ◽  
Shu Yang ◽  
...  

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.


Author(s):  
Youbin Liu ◽  
Liming Gong ◽  
Baohong Li

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.


2020 ◽  
Vol 12 (5) ◽  
pp. 1
Author(s):  
Xiaoshun Qin ◽  
Taopeng Zhang ◽  
Victor M. Mmbengwa

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.


Author(s):  
Jie Xu ◽  
Yajiao Cheng ◽  
Xiaoling Yuan ◽  
Wei V. Li ◽  
Lanjing Zhang

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.


2020 ◽  
Vol 32 (3) ◽  
pp. 608-609
Author(s):  
Smita Sinha ◽  
Rishita Chandra

A novel coronavirus named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in December 2019, in Wuhan city of Hubei province of China, which got transmitted throughout the nation and even world. It was declared as a Public Health Emergency by WHO on January 30th 2020, due to the increase in the number of cases reported from various regions of WHO with the evidence of human to human transmission. (1) Spread of COVID-19 across the globe: China reported first COVID-19 death on January 11th 2020.  After a few weeks, 830 cases were diagnosed in China along with 26 reported deaths. By January 20, Wuhan was placed under lockdown and China alerted other nations about its spread in various provinces. (2) This contagious disease had spread to 24 nations outside China-Hong Kong-Macau, by 2nd February.  About 172 countries and regions were engulfed by this virus by March 25, 2020. (3) Globally over 3,308,643 cases have been confirmed, over 234,123 deaths have been reported, and around 1,042,981 have recovered as on 30th April 2020. (4) Controlling the Pandemic COVID 19: success story of the Republic of Korea: Initially, one country which successfully stood out from the rest of the world was South Korea. The country confirmed its first few cases in late January and then reported a surge in the cases a few weeks later. The country was exploded with cases in dozens to hundreds to thousands during late February and early March and launched drive-through testing centers and massive contact tracing. Almost 909 new cases were identified in a single day of February 29th 2020 and was reported at peak. This data brought the country with 50 million population on the verge of a deluge. But the number of new cases was halved within a time period of just a week. The number of cases reduced to half within four days, and it halved, again the following day. (5)    


Author(s):  
Xinmiao Fu ◽  
Qi Ying ◽  
Tieyong Zeng ◽  
Tao Long ◽  
Yan Wang

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.


Author(s):  
Ghotekar D S ◽  
Vishal N Kushare ◽  
Sagar V Ghotekar

Coronaviruses are a family of viruses that cause illness such as respiratory diseases or gastrointestinal diseases. Respiratory diseases can range from the common cold to more severe diseases. A novel coronavirus outbreak was first documented in Wuhan, Hubei Province, China in December 2019. The World Health Organization (WHO) has declared the coronavirus disease 2019 (COVID-19) a pandemic. A global coordinated effort is needed to stop the further spread of the virus. A novel coronavirus (nCoV) is a new strain that has not been identified in humans previously. Once scientists determine exactly what coronavirus it is, they give it a name (as in the case of COVID-19, the virus causing it is SARS-CoV-2).


Author(s):  
Lara Bittmann

On December 31, 2019, WHO was informed of cases of pneumonia of unknown cause in Wuhan City, China. A novel coronavirus was identified as the cause by Chinese authorities on January 7, 2020 and was provisionally named "2019-nCoV". This new Coronavirus causes a clinical picture which has received now the name COVID-19. The virus has spread subsequently worldwide and was explained on the 11th of March, 2020 by the World Health Organization to the pandemic.


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