scholarly journals Epidemic Situation of Novel Coronavirus Pneumonia in China mainland

2020 ◽  
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.

scholarly journals Consideration of the Management of Pediatric Fever Clinics During the Novel Coronavirus Pneumonia Outbreak

2020 ◽  
pp. 1-7
Author(s):  
Hui Ding ◽  
Zhaoling Shi ◽  
Zhen Ruan ◽  
Xiaoning Cheng ◽  
Ruying Li ◽  
...  
Keyword(s):  
Medical Staff ◽  
Prevention And Control ◽  
Cross Infection ◽  
The Novel ◽  
Wuhan City ◽  
Control Programs ◽  
Treatment And Prevention ◽  
Epidemic Period ◽  
Novel Coronavirus ◽  
And Control

ABSTRACT Since the outbreak of 2019 novel coronavirus (2019-nCoV) infection in Wuhan City, China, pediatric cases have gradually increased. It is very important to prevent cross-infection in pediatric fever clinics, to identify children with fever in pediatric fever clinics, and to strengthen the management of pediatric fever clinics. According to prevention and control programs, we propose the guidance on the management of pediatric fever clinics during the nCoV pneumonia epidemic period, which outlines in detail how to optimize processes, prevent cross-infection, provide health protection, and prevent disinfection of medical staff. The present consideration statement summarizes current strategies on the pre-diagnosis, triage, diagnosis, treatment, and prevention of 2019-nCoV infection, which provides practical suggestions on strengthening the management of pediatric fever clinics during the nCoV pneumonia epidemic period.

scholarly journals Modeling and Reviewing Study to the COVID-19 Epidemic in PR China

2020 ◽  
Author(s):  
Mingzhao Wang ◽  
Juanying Xie ◽  
Shengquan Xu
Keyword(s):  
Prevention And Control ◽  
Hubei Province ◽  
Control Measures ◽  
Transmission Model ◽  
Chinese Government ◽  
Wuhan City ◽  
The Mainland Of China ◽  
Prevention And Control Measures ◽  
And Control ◽  
Model Fits

Abstract Background: COVID-19 epidemic has been widely spread all over the world. During it appears in China, Chinese government quickly put forward and implement prevention and control measures to keep its spread within limits. This study aims to investigate the impacts of the prevention and control measures in controlling COVID-19 epidemic in China, so as to give a clue to control its spread in the world. Methods: We establish a two-stage dynamics transmission model with "lockdown of Wuhan city" as the time line. The first stage is the SEIR derived model that considers the contagious of the exposed. It simulates the COVID-19 epidemic in Hubei Province before "lockdown of Wuhan city". The second stage is a novel transmission dynamics model named SEIRQH. It takes into account the influence on the COVID-19 epidemic from the series of measures such as travel restriction, contact tracing, centralized treatment, the asymptomatic infected patients, hospitalized patients and so on. It simulates the COVID-19 epidemic in China after "lockdown of Wuhan city". The least square method is used to estimate the parameters of SEIR derived model and the proposed SEIRQH model based on the collected epidemic data of COVID-19 from Hubei Province and the mainland of China. Results: The SEIR derived model fits the actual data in Hubei Province before "lockdown of Wuhan city". The basic reproduction number of COVID-19 epidemic in Hubei Province is 3.2035 before "lockdown of Wuhan city". The SEIRQH model fits the number of the hospitalized persons of COVID-19 in Hubei Province and the mainland of China perfectly. The control reproductive number are 0.11428 and 0.09796 in Hubei Province and the mainland of China, respectively. The prevention and control measures taken by Chinese government play the significant role against the COVID-19 spread in China. Conclusions: Our two-stage dynamics transmission model simulates the COVID-19 in China, especially our SEIRQH model fits the actual data very well. The prevention and control measures implemented by Chinese government are effective in preventing the wide spread of COVID-19 epidemic in China. These measures give the reference to World Health Organization and other countries in controlling COVID-19 epidemic.

scholarly journals Modeling and Reviewing Study to the COVID-19 Epidemic in PR China

2020 ◽  
Author(s):  
Mingzhao Wang ◽  
Juanying Xie ◽  
Shengquan Xu
Keyword(s):  
Prevention And Control ◽  
Hubei Province ◽  
Control Measures ◽  
Transmission Model ◽  
Chinese Government ◽  
Wuhan City ◽  
The Mainland Of China ◽  
Prevention And Control Measures ◽  
And Control ◽  
Model Fits

Abstract Background: COVID-19 epidemic has been widely spread all over the world. During it appears in China, Chinese government quickly put forward and implement prevention and control measures to keep its spread within limits. This study aims to investigate the impacts of the prevention and control measures in controlling COVID-19 epidemic in China, so as to give a clue to control its spread in the world. Methods: We establish a two-stage dynamics transmission model with "lockdown of Wuhan city" as the time line. The first stage is the SEIR derived model that considers the contagious of the exposed. It simulates the COVID-19 epidemic in Hubei Province before "lockdown of Wuhan city". The second stage is a novel transmission dynamics model named SEIRQH. It takes into account the influence on the COVID-19 epidemic from the series of measures such as travel restriction, contact tracing, centralized treatment, the asymptomatic infected patients, hospitalized patients and so on. It simulates the COVID-19 epidemic in China after "lockdown of Wuhan city". The least square method is used to estimate the parameters of SEIR derived model and the proposed SEIRQH model based on the collected epidemic data of COVID-19 from Hubei Province and the mainland of China. Results: The SEIR derived model fits the actual data in Hubei province before "lockdown of Wuhan city". The basic reproduction number of COVID-19 epidemic in Hubei Province is 3.2035 before "lockdown of Wuhan city". The SEIRQH model fits the number of the hospitalized persons of COVID-19 in Hubei Province and the mainland of China perfectly. The control reproductive number are 0.11428 and 0.09796 in Hubei Province and the mainland of China, respectively. The prevention and control measures taken by Chinese government play the significant role against the COVID-19 spread in China. Conclusions: Our two-stage dynamics transmission model simulates the COVID-19 in China, especially our SEIRQH model fits the actual data very well. The prevention and control measures implemented by Chinese government are effective in preventing the wide spread of COVID-19 epidemic in China. These measures give the reference to World Health Organization and other countries in controlling COVID-19 epidemic.

scholarly journals A deterministic epidemic model for the emergence of COVID-19 in China

2020 ◽  
Author(s):  
Meng Wang ◽  
Jingtao Qi
Keyword(s):  
Prevention And Control ◽  
Reproduction Number ◽  
Chinese Mainland ◽  
Hubei Province ◽  
Control Measures ◽  
The Novel ◽  
Health Authorities ◽  
Prevention And Control Measures ◽  
Novel Coronavirus ◽  
And Control

AbstractCoronavirus disease (COVID-19) broke out in Wuhan, Hubei province, China, in December 2019 and soon after Chinese health authorities took unprecedented prevention and control measures to curb the spreading of the novel coronavirus-related pneumonia. We develop a mathematical model based on daily updates of reported cases to study the evolution of the epidemic. With the model, on 95% confidence level, we estimate the basic reproduction number, R0 = 2.82 ± 0.11, time between March 19 and March 21 when the effective reproduction number becoming less than one, the epidemic ending after April 2 and the total number of confirmed cases approaching 14408 ± 429 on the Chinese mainland excluding Hubei province.

scholarly journals Multi-Objective Optimization of Integrated Civilian-Military Scheduling of Medical Supplies for Epidemic Prevention and Control

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 126
Author(s):  
Hai-Feng Ling ◽  
Zheng-Lian Su ◽  
Xun-Lin Jiang ◽  
Yu-Jun Zheng
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Medical Services ◽  
The Novel ◽  
Multi Objective ◽  
Medical Supplies ◽  
Problem Instances ◽  
Novel Coronavirus ◽  
And Control ◽  
Minimum Ratio

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.

scholarly journals Evaluating the effectiveness of measures to control the novel coronavirus disease 2019 in Jilin Province, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qinglong Zhao ◽  
Yao Wang ◽  
Meng Yang ◽  
Meina Li ◽  
Zeyu Zhao ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Good Control ◽  
Asymptomatic Infection ◽  
Jilin Province ◽  
Control Measures ◽  
First Case ◽  
Before And After ◽  
Novel Coronavirus ◽  
Reported Data ◽  
And Control

Abstract Background Based on differences in populations and prevention and control measures, the spread of new coronary pneumonia in different countries and regions also differs. This study aimed to calculate the transmissibility of coronavirus disease 2019 (COVID-19), and to evaluate the effectiveness of measures to control the disease in Jilin Province, China. Methods The data of reported COVID-19 cases were collected, including imported and local cases from Jilin Province as of March 14, 2019. A Susceptible–Exposed–Infectious–Asymptomatic–Recovered/Removed (SEIAR) model was developed to fit the data, and the effective reproduction number (Reff) was calculated at different stages in the province. Finally, the effectiveness of the measures was assessed. Results A total of 97 COVID-19 infections were reported in Jilin Province, among which 45 were imported infections (including one asymptomatic infection) and 52 were local infections (including three asymptomatic infections). The model fit the reported data well (R2 = 0.593, P < 0.001). The Reff of COVID-19 before and after February 1, 2020 was 1.64 and 0.05, respectively. Without the intervention taken on February 1, 2020, the predicted cases would have reached a peak of 177,011 on October 22, 2020 (284 days from the first case). The projected number of cases until the end of the outbreak (on October 9, 2021) would have been 17,129,367, with a total attack rate of 63.66%. Based on the comparison between the predicted incidence of the model and the actual incidence, the comprehensive intervention measures implemented in Jilin Province on February 1 reduced the incidence of cases by 99.99%. Therefore, according to the current measures and implementation efforts, Jilin Province can achieve good control of the virus’s spread. Conclusions COVID-19 has a moderate transmissibility in Jilin Province, China. The interventions implemented in the province had proven effective; increasing social distancing and a rapid response by the prevention and control system will help control the spread of the disease.

REVIEW ARTICLE ABOUT PERINATALAND NEONATAL MANAGEMENT FOR THE PREVENTION AND CONTROL OF THE 2019 NOVEL CORONAVIRUS INFECTION

2021 ◽  
pp. 54-57
Author(s):  
Isra Khalil Mohammed Ali Saeed ◽  
Maha Hussein Mohammed Hamza ◽  
Hiba Hussein Ibrahim ◽  
Esmehan Elkheir Babeker ◽  
Ibrahim Ismail M.Abu ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Neonatal Intensive Care ◽  
Control Measures ◽  
Neonatal Intensive Care Units ◽  
Community Physician ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
And Control ◽  
Who Guideline ◽  
Immature Immune System

An epidemic of new coronavirus 2019 (COVID-19) has emerged in China since December 2019. WHO declared it as a pandemic on March 2020 as it has spread worldwide. Several cases among neonate were observed with rst reported 36 hours after birth. Due to the possibility of the infection and the immature immune system of the neonate there should be preventive and control measures at Neonatal Intensive Care Units. According to WHO guideline and other published articles in COVID-19 in infants and neonate a technical working group including community physician and Pediatricians has put measures for clinical management, prevention and control of COVID-19 in neonates.

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

2020 ◽  
Author(s):  
Qingxian Cai ◽  
Deliang Huang ◽  
Pengcheng Ou ◽  
Hong Yu ◽  
Zhibin Zhu ◽  
...  
Keyword(s):  
Hubei Province ◽  
Initial Symptom ◽  
Wuhan City ◽  
Hospital System ◽  
Risk Of Progression ◽  
New Type ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
Underlying Diseases ◽  
Overall Mortality

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.

scholarly journals ANALYSIS OF THE SPATIOTEMPORAL CHARACTERISTICS OF HEMORRHAGIC FEVER WITH RENAL SYNDROME IN HUBEI PROVINCE, CHINA

2015 ◽  
Vol II-4/W2 ◽  
pp. 207-210
Author(s):  
H. Fan ◽  
L. Ge ◽  
L. Song ◽  
Q. Zhao
Keyword(s):  
Prevention And Control ◽  
Temporal Distribution ◽  
Hemorrhagic Fever ◽  
Spatiotemporal Analysis ◽  
Systematic Investigation ◽  
Hubei Province ◽  
Spatial And Temporal Distribution ◽  
The Past ◽  
Comprehensive Examination ◽  
And Control

Hemorrhagic fever with renal syndrome(HFRS) is a worldwide fulminant infectious disease. Since the first HFRS cases in Hubei Province were reported in 1957, the disease has spread across the province and Hubei has become one of seriously affected areas in China. However, the epidemic characteristics of HFRS are still not entirely clear. Therefore, a systematic investigation of spatial and temporal distribution pattern of HFRS system is needed. In order to facilitate better prevention and control of HFRS in Hubei Province, in this paper, a GIS spatiotemporal analysis and modeling tool was developed to analyze the spatiotemporal dynamics of the HFRS epidemic, as well as providinga comprehensive examination the dynamic pattern of HFRS in Hubei over the past 30 years (1980-2009), to determine spatiotemporal change trends and the causes of HFRS. This paper describes the experiments and their results.

scholarly journals SARS-CoV-2 / COVID-19: Salient Facts and Strategies to Combat Ongoing Pandemic

2020 ◽  
Vol 14 (3) ◽  
pp. 1663-1674
Author(s):  
Ranjit Sah ◽  
Nayanum Pokhrel ◽  
Zareena Fathah ◽  
Akihiko Ozaki ◽  
Divya Bhandari ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Prevention And Control ◽  
One Health ◽  
Close Contact ◽  
Mitigation Strategies ◽  
Virus Spread ◽  
Intermediate Hosts ◽  
Affected Person ◽  
Novel Coronavirus ◽  
And Control

Severe acute respiratory syndrome coronavirus – 2 (SARS-CoV-2), an emerging novel coronavirus causing coronavirus disease 2019 (COVID-19) pandemic, has now rapidly spread to more than 215 countries and has killed nearly 0.75 million people out of more than 20 million confirmed cases as of 10th August, 2020. Apart from affecting respiratory system, the virus has shown multiple manifestations with neurological affections and damaging kidneys. SARS-CoV-2 transmission mainly occurs through close contact of COVID-19 affected person, however air-borne route is also now considered as dominant route of virus spread. The virus has been implicated to have originated from animals. Apart from bats, pangolins and others being investigates to play role in transmitting SARS-CoV-2 as intermediate hosts, the recent reports of this virus infection in other animals (cats, dogs, tigers, lions, mink) suggest one health approach implementation along with adopting appropriate mitigation strategies. Researchers are pacing to develop effective vaccines and drugs, few reached to clinical trials also, however these may take time to reach the mass population, and so till then adopting appropriate prevention and control is the best option to avoid SARS-CoV-2 infection. This article presents an overview on this pandemic virus and the disease it causes, with few recent concepts and advances.

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