scholarly journals The epidemiological characteristics of 2019 novel coronavirus diseases (COVID-19) in Jingmen,Hubei,China

Author(s):  
Qijun Gao ◽  
Yingfu Hu ◽  
Zhiguo Dai ◽  
Feng Xiao ◽  
Jing Wang ◽  
...  

SummaryBackgroundSome articles have reported the epidemiological and clinical characteristics of coronavirus disease (COVID-19) in Wuhan, but other cities have rarely been reported. This study explored the epidemiology of COVID-19 in Jingmen.MethodsAll confirmed cases of COVID-19 in the First People’s Hospital of Jingmen are included from January 12 to February 14,2020. Cases were analyzed for epidemiological data and were confirmed by real-time PCR.FindingsOf the 213 cases (108 men and 105 women), 88 (41%) had exposure to Wuhan. The median age was 48 years (range,2-88 years;IQR,35-58.5). Thirty-three severe patients with a median age of 66 years(range,33-82 years,IQR, 57-76) were treated in intensive care units; out of these patients, 66.7 %(22) were men and 19 (57.5%) had chronic diseases, including hypertension, diabetes, heart failure, stroke, and renal insufficiency. Under the controlled measures, the number of new patients gradually decreased and nearly disappeared after 20 days.InterpretationAll people are susceptible to the COVID-19, but older males and those with comorbid conditions are more likely to have severe symptoms. Even though COVID-19 is highly contagious, control measures have proven to be very effective.

2020 ◽  
Vol 71 (6) ◽  
pp. 1454-1460 ◽  
Author(s):  
Tuo Ji ◽  
Hai-Lian Chen ◽  
Jing Xu ◽  
Ling-Ning Wu ◽  
Jie-Jia Li ◽  
...  

Abstract Background To control the spread of 2019 novel coronavirus disease (COVID-19), China sealed Wuhan on 23 January 2020 and soon expanded lockdown to 12 other cities in Hubei province. We aimed to describe the epidemiological characteristics in one of the cities and highlight the effect of current implemented lockdown and nonpharmaceutical interventions. Methods We retrieved data of reported cases in Huangshi and Wuhan from publicly available disease databases. Local epidemiological data on suspected or confirmed cases in Huangshi were collected through field investigation. Epidemic curves were constructed with data on reported and observed cases. Results The accumulated confirmed COVID-19 cases and fatality in Huangshi were reported to be 1015 and 3.74%, respectively, compared with 50006 and 5.08% in Wuhan until 27 March 2020. Right after 24 January, the epidemic curve based on observed cases in Huangshi became flattened. And 1 February 2020 was identified as the “turning point” as the epidemic in Huangshi faded soon afterward. COVID-19 epidemic was characterized by mild cases in Huangshi, accounting for 82.66% of total cases. Moreover, 50 asymptomatic infections were identified in adults and children. In addition, we found confirmed cases in 19 familial clusters and 21 healthcare workers, supporting interhuman transmission. Conclusions Our study reported the temporal dynamics and characteristics of the COVID-19 epidemic in Huangshi city, China, across the unprecedented intervention. Such new epidemiological inference might provide further guidance on current lockdown measures in high-risk cities and, subsequently, help improve public health intervention strategies against the pandemic on the country and global levels.


2020 ◽  
Vol 42 ◽  
pp. e2020006 ◽  
Author(s):  
Sukhyun Ryu ◽  
Byung Chul Chun

OBJECTIVES: The 2019 novel coronavirus (2019-nCoV) from Wuhan, China is currently recognized as a public health emergency of global concern.METHODS: We reviewed the currently available literature to provide up-to-date guidance on control measures to be implemented by public health authorities.RESULTS: Some of the epidemiological characteristics of 2019-nCoV have been identified. However, there remain considerable uncertainties, which should be considered when providing guidance to public health authorities on control measures.CONCLUSIONS: Additional studies incorporating more detailed information from confirmed cases would be valuable.


2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
H Badreldin ◽  
DR Hafidh ◽  
DR Bin Saleh ◽  
DR Al Sulaiman ◽  
DR Al Juhani ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background Patients with heart failure in the setting of COVID-19 requiring admission to the intensive care unit may present a set of unique challenges. There is limited data to describe the clinical characteristics and outcomes in this subset of the patient population. Purpose The study"s purpose was to extensively describe the characteristics and outcomes of heart failure patients admitted to the intensive care unit with COVID-19 compared to non-heart failure patients . Methods We conducted a multicenter, prospective analysis for all adult critically ill patients with heart failure admitted to intensive care units (ICUs) between March 1 to August 31, 2020, with an objectively confirmed diagnosis of COVID-19. Results A total of 723 critically ill patients with COVID-19 had been admitted in ICUs, 59 patients with heart failure, and 664 patients with no heart failure before ICU admission. Heart failure patients had significantly more comorbid conditions such as diabetes mellitus, hypertension, dyslipidemia, atrial fibrillation, and acute coronary syndrome. Higher baseline severity scores (APACHE II & SOFA score) and nutritional risk (NUTRIC Score) were observed in heart failure patients. Also, heart failure patients had more acute kidney injury during ICU admission and required more mechanical ventilation within 24 hours of ICU admission. Patients with heart failure had a similar incidence of thrombosis compared to patients with no heart failure. Critically ill patients with COVID-19 and heart failure had similar ICU length of stay (LOS), mechanical ventilation duration, and hospital LOS compared to patients with no heart failure. During ICU stay, patients with heart failure had more in-hospital and ICU deaths in comparison to the non-heart failure group (64.3% vs. 44.6%, P-value <0.01) and (54.5% vs. 39%, P-value = 0.02) respectively. Conclusion In this observational study evaluating the clinical characteristics and outcomes of critically ill COVID-19 patients with heart failure, patients with COVID-19 and heart failure had similar ICU LOS, duration of MV and hospital LOS, thrombosis rate compared to patients with no heart failure. However, during ICU stay, patients with heart failure had more in-hospital and ICU deaths than the non-heart failure group.


2020 ◽  
Author(s):  
Lei Shi ◽  
Qian Li ◽  
Kang Li ◽  
Jie Zheng ◽  
Yingli He ◽  
...  

Abstract Objectives : A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China. Results: 1. Among the 245 patients, 132 (53.9%) were males and 113 (46.1%) were females. The average age was 46.15±16.43 years, ranging from 3 to 89 years. 2. For the clinical type, 1.63% (4/245) patients were mild type , 84.90% (208/245) were moderate type, 7.76% (19/245) were severe type, 5.31% (13/245) were critical type and only 0.41% (1/245) was asymptomatic. 3. Of the 245 patients, 116 (47.35%) were input case, 114 (46.53%) were non-input case , and 15 (6.12%) were unknown exposure. 4. 48.57% (119/245) cases were family cluster , involving 42 families. The most common pattern of COVID-19 family cluster was between husband and wife or between parents and children.


2020 ◽  
Author(s):  
Mohamed A Daw ◽  
Abdallah H El-Bouzedi ◽  
Mohamed O Ahmed

Abstract Background: COVID-19 is a global pandemic that affectedaffects all aspects of life. Studies on understanding the geographical and epidemiological characteristics become particularly important in controlling the spread of the pandemic. Such studies are lacking in Northern African countries, particularly in Libya, which is considered being, the second largest country in Africa, with the longest coast facing Europe. The objectives of this study are to; determine the epidemiological parameters and spatiotemporal patterns of COVID-19 in this large country and outline the needed strategies to contain the spread and the consequences of the pandemic. Methods: This comprehensive study included all the confirmed cases of COVID-19 since its emergence in Libya, from early April 2020 until July 31th31. The epidemiological characteristics of COVID-19 were analyzed, and the spatial dynamic trends were explored. A region Region-based counts of weekly reported cases were used to characterize and quantify the spatial dynamics of COVID-19.Results: A total of 3695 of confirmed cases of OVID-19 were collected,; 2515 (68.1%) were males , and 1180 (31.9%) were females with a male-to-female (M:F) ratio of 2.1:1. Aged between 2 -and 78 years old. Older age patients infected with COVID-19 are at higher severity and mortality. A broad geographic variability and spatiotemporal spread variation of the COVID-19 pandemic in Libya was observed. Indicating. This indicates a more significant increase ofin COVID-19 from the middle of July, particularly in the West and Southern regions, although it was consistently observed in the Meddle and Southern regions.Conclusion: Evaluating the epidemiological data and the spatiotemporal dynamic trends of COVID-19 at early stages are particularly important in understanding the pandemic spread. These parameters are essential in designing effective prevention and control programs aimed at reducing the impact of the COVID- 19 pandemic, particularly in countries with limited resources.


Author(s):  
Qiangping Wang ◽  
Xing Huang ◽  
Yansen Bai ◽  
Xuan Wang ◽  
Haijun Wang ◽  
...  

ABSTRACTBackgroundThe novel coronavirus (SARS-CoV-2) has infected a large number of healthcare workers in Hubei province, China. In addition to infectious and respiratory disease physicians, many doctors in other medical fields have been infected.MethodsWe prospectively collected epidemiological data on medical staff members who are working in neurosurgery departments in 107 hospitals in Hubei province through self-reported questionnaires or telephone interviews. Data of medical staff members with laboratory-confirmed coronavirus disease 2019 (COVID-19) were analysed. The final follow-up date was 1 March 2020.FindingsA total of 5,442 neurosurgery department medical staff members were surveyed. One hundred and twenty cases, involving 54 doctors and 66 nurses, were found to have been infected with SARS-CoV-2. The overall incidence was 2.2%. These cases were concentrated in 26 centres, 16 of which had admitted a total of 59 patients with COVID-19 complicated by craniocerebral disease. Medical staff members in centres receiving COVID-19 patients had a higher risk of contracting infection than those in centres not receiving COVID-19 patients (relative risk: 19.6; 95% confidence interval: 12.6–30.6). Contact with either COVID-19 patients (62.5%, 75/120) or infected colleagues (30.8%, 37/120) was the most common mode of transmission. About 78.3% (94/120) of the infected cases wore surgical masks, whereas 20.8% (25/120) failed to use protection when exposed to the source of infection. Severe infections were observed in 11.7% (14/120) of the cases, with one death (0.8%, 1/120). All the infected medical staff members had been discharged from the hospital. A total of 1,287 medical staff members were dispatched to participate in the frontline response to COVID-19 under level 2 protection of whom one was infected. Medical staff members who took inadequate protection had a higher risk of contracting infection than those using level 2 protection (relative risk: 36.9; 95% confidence interval: 5.2–263.6).ConclusionsNeurosurgical staff members in Hubei province were seriously affected by COVID-19. Level 2 protection and strengthening of protective measures are likely to be effective in preventing medical workers from being infected.


Author(s):  
Manola Comar ◽  
Marco Brumat ◽  
Maria Pina Concas ◽  
Giorgia Argentini ◽  
Annamonica Bianco ◽  
...  

AbstractThe fast spread of the novel coronavirus (SARS-CoV-2) has become a global threat hitting the worldwide fragile health care system. In Italy, there is a continued COVID-19 growth of cases and deaths that requires control measures for the correct management of the epidemiological emergency. To contribute to increasing the overall knowledge of COVID-19, systematic tests in the general population are required.Here, we describe the first Italian survey performed in 727 employees belonging to a Mother-Child Research hospital tested for both viral (nasopharyngeal and oropharyngeal swabs) and antibody presence. Individuals were divided into three risk categories (high, medium and low) according to their job activity. Only one subject was positive at the swab test while 17.2% of the cohort was positive for the presence of antibodies. Results highlighted that the presence of Positive antibodies is significantly associated with high and medium risk exposure occupation (p-value=0.026) as well as cold and conjunctivitis symptoms (p-value=0.016 and 0.042 respectively). Moreover, among healthcare professionals, the category of medical doctors showed a significant association with the presence of antibodies against SARS-CoV-2 (p-value=0.0127). Finally, we detected a rapid decrease in antibody intensity between two assessments performed within a very short period (p-value=0.009). Overall, the present study increases our knowledge of the epidemiological data of COVID-19 infection in Italy, suggesting a high prevalence of immune individuals (i.e. at least among at-risk categories) and the efficacy of the combined diagnostic protocol to monitor the possible outbreak.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Hong Li

Objective: To investigate the epidemiobgical characteristics of the elderly with atrial fibrillation (AF) in age, gender, the types of AF and relative causes. And To analyze the risk factors of persistent AF (PeAF), then use them to guide to prevent and treat for AF in the elderly.Methods: Collect the data of elderly patients with AF who were admitted to Liaoning People's Hospital from September 1, 2016 to September 30, 2017, and summarize the epidemiological characteristics of AF in the elderly. The risk factors for PeAF were analyzed by Spearman correlation analysis and mltivariate logistic regression analysis. Result: 1. In the elderly, the number of AF cases increase with age. The group of 75-84 years old was the largest part. The number of older females was larger than male in all ages. It was important to pay more attention to old woman with AF. 2.In the elderly, nonvalvular atrial fibrillation is popular. The top three causes of AF in the elderly were CHD, hypertension and heart failure. In the elderly, comorbidities were frequent, and the management was a major therapeutic objective. 3.CRP, 1eft atria diameter were the independent risk factors for PeAF in the elderly.


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