scholarly journals Quarantine At Home May Not Enough!-From the Epidemiological Data In Shaanxi Province of China

2020 ◽  
Author(s):  
Lei Shi ◽  
Qian Li ◽  
Kang Li ◽  
Jie Zheng ◽  
Yingli He ◽  
...  
Keyword(s):  
Epidemiological Data ◽  
Shaanxi Province ◽  
Common Pattern ◽  
Family Cluster ◽  
Clinical Type ◽  
Parents And Children ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Severe Type ◽  
Critical Type

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.

scholarly journals Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Lei Shi ◽  
Qian Li ◽  
Kang Li ◽  
Jie Zheng ◽  
Yingli He ◽  
...  
Keyword(s):  
Epidemiological Data ◽  
Shaanxi Province ◽  
Common Pattern ◽  
Family Cluster ◽  
Clinical Type ◽  
Parents And Children ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Severe Type ◽  
Critical Type

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.

scholarly journals Quarantine At Home May Not Enough!-From the Epidemiological Data In Shaanxi Province of China

2020 ◽  
Author(s):  
Lei Shi ◽  
Qian Li ◽  
Kang Li ◽  
Jie Zheng ◽  
Yingli He ◽  
...  
Keyword(s):  
Epidemiological Data ◽  
Shaanxi Province ◽  
Common Pattern ◽  
Family Cluster ◽  
Clinical Type ◽  
Parents And Children ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Severe Type ◽  
Critical Type

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.

scholarly journals Lockdown Contained the Spread of 2019 Novel Coronavirus Disease in Huangshi City, China: Early Epidemiological Findings

2020 ◽  
Vol 71 (6) ◽  
pp. 1454-1460 ◽  
Author(s):  
Tuo Ji ◽  
Hai-Lian Chen ◽  
Jing Xu ◽  
Ling-Ning Wu ◽  
Jie-Jia Li ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Public Health Intervention ◽  
Epidemiological Data ◽  
Field Investigation ◽  
Epidemic Curve ◽  
Adults And Children ◽  
Asymptomatic Infections ◽  
Novel Coronavirus ◽  
Nonpharmaceutical Interventions ◽  
Epidemiological Characteristics

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.

scholarly journals Features of C-reactive protein in COVID-19 patients within various period: a cohort study

2020 ◽  
Author(s):  
Guoxin Huang ◽  
Gaojing Qu ◽  
Hui Yu ◽  
Meiling Zhang ◽  
Xiaoming Song ◽  
...  
Keyword(s):  
Symptom Onset ◽  
Early Stage ◽  
General Information ◽  
Initial Time ◽  
Test Results ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Clinical Type ◽  
Severe Type ◽  
Critical Type

ABSTRACTBACKGROUNDCoronavirus disease 2019 (COVID-19) has been declared as a threat to the global. Due to the lack of efficient treatments, indicators were urgently needed during the evolvement of disease to analyze the illness and prognosis and prevent the aggravation of COVID-19.METHODSAll laboratory confirmed COVID-19 patients hospitalized in Xiangyang No.1 People’s Hospital were included. Patients’ general information, clinical type, CRP value and outcome were collected. CRP values of all patients during disease course from different initial time were analyzed.RESULTSThe 131 enrolled patients were 50.13±17.13 years old. All cases underwent 724 tests of CRP since symptom onset, 53.18% of the test results were abnormal and the median value was 9.52(2.63-34.10) mg/L. The first median value on the day 8 from exposure onset was 39.08(11.92-47.89) mg/L then fluctuated around it until the day 28. The CRP median increased from 15.93 mg/L to 41.44 mg/L and then decreased to 18.26 mg/L before transformation of severe type, and then increased to 62.25 mg/L on the transforming date. Conversely, the CRP median increased from 56.17 mg/L 102.75 mg/L before transformation of critical type but decreased to 68.68 mg/L on the transforming date. The changes of CRP median over time before death ranged from 77.77 mg/L to 133.52 mg/L.CONCLUSIONSCRP increased before symptom onset and substantially increased during the early-to-mid stage (especially early stage), which was different from other virus-infected diseases. The changes of CRP before the transformation of clinical type was inconsistent with the aggravating of illness. And the CRP maintained over 100.00 mg/L prompted poor prognosis.

scholarly journals The Epidemiological and Spatiotemporal Characteristics of 2019 novel coronavirus diseases (COVID-19) in Libya

2020 ◽  
Author(s):  
Mohamed A Daw ◽  
Abdallah H El-Bouzedi ◽  
Mohamed O Ahmed
Keyword(s):  
Spatial Dynamics ◽  
Epidemiological Data ◽  
African Countries ◽  
Large Country ◽  
Effective Prevention ◽  
Control Programs ◽  
Global Pandemic ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
The Impact

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.

scholarly journals Epidemiological characteristics of COVID-19 in medical staff members of neurosurgery departments in Hubei province: A multicentre descriptive study

2020 ◽  
Author(s):  
Qiangping Wang ◽  
Xing Huang ◽  
Yansen Bai ◽  
Xuan Wang ◽  
Haijun Wang ◽  
...  
Keyword(s):  
Relative Risk ◽  
Confidence Interval ◽  
Medical Staff ◽  
Epidemiological Data ◽  
Hubei Province ◽  
Staff Members ◽  
Source Of Infection ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Level 2

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.

scholarly journals Covid19 infection spread in Greece: Ensemble forecasting models with statistically calibrated parameters and stochastic noise

2020 ◽  
Author(s):  
Georgios D. Politis ◽  
Leontios Hadjileontiadis
Keyword(s):  
Epidemiological Data ◽  
The Novel ◽  
The Social ◽  
Forecasting Performance ◽  
Least Squares Optimization ◽  
Healthcare Interventions ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Subsequent Failure ◽  
Of Greece

AbstractFollowing the outbreak of the novel coronavirus SARS-Cov2 in Europe and the subsequent failure of national healthcare systems to sufficiently respond to the fast spread of the pandemic, extensive statistical analysis and accurate forecasting of the epidemic in local communities is of primary importance in order to better organize the social and healthcare interventions and determine the epidemiological characteristics of the disease. For this purpose, a novel combination of Monte Carlo simulations, wavelet analysis and least squares optimization is applied to a known basis of SEIR compartmental models, resulting in the development of a novel class of stochastic epidemiological models with promising short and medium-range forecasting performance. The models are calibrated with the epidemiological data of Greece, while data from Switzerland and Germany are used as a supplementary background. The developed models are capable of estimating parameters of primary importance such as the reproduction number and the real magnitude of the infection in Greece. A clear demonstration of how the social distancing interventions managed to promptly restrict the epidemic growth in the country is included. The stochastic models are also able to generate robust 30-day and 60-day forecast scenarios in terms of new cases, deaths, active cases and recoveries.

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

2020 ◽  
Author(s):  
Qijun Gao ◽  
Yingfu Hu ◽  
Zhiguo Dai ◽  
Feng Xiao ◽  
Jing Wang ◽  
...  
Keyword(s):  
Heart Failure ◽  
Intensive Care ◽  
Renal Insufficiency ◽  
Clinical Characteristics ◽  
Epidemiological Data ◽  
Control Measures ◽  
Comorbid Conditions ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Older Males

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.

scholarly journals The Epidemiological and Spatio-temporal Characteristics of 2019 Novel Coronavirus Diseases (COVID-19) in Libya

2020 ◽  
Author(s):  
Mohamed A Daw ◽  
Abdallah H El-Bouzedi ◽  
Mohamed O Ahmed
Keyword(s):  
Spatial Dynamics ◽  
Epidemiological Data ◽  
African Countries ◽  
Large Country ◽  
Effective Prevention ◽  
Control Programs ◽  
Spatio Temporal ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
The Impact

Abstract Background: COVID-19 is a global pandemic that affected 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 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 August 31th. The epidemiological characteristics of COVID-19 were analyzed and the spatial dynamic trends were explored. A region -based counts of weekly reported cases were used to characterize and quantify the spatial dynamics of COVID-19. Results: A total 3695 of confirmed cases of OVID-19 were collected, 2515(68.1%) were males and 1180(31.9%) female with a male-to-female(M:F) ratio 2.1:1. Aged between 2 -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 a higher significant increase of COVID-19 from the middle of July particularly in the West and Southern regions although it was consistently observed in 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 COVID- 19 pandemic particularly in countries with limited resources.

scholarly journals A Family Cluster of Severe Acute Respiratory Syndrome Coronavirus 2 Infections

2020 ◽  
Author(s):  
Xuesong Gao ◽  
Zheng Yuan ◽  
Di Yang ◽  
Hongjie Li ◽  
Yijin Zhang ◽  
...  
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Clinical Symptoms ◽  
Close Contact ◽  
Hubei Province ◽  
Adverse Outcomes ◽  
Family Cluster ◽  
High Flow Oxygen ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics ◽  
Beijing China

Abstract Background In December 2019, the outbreak of 2019 novel coronavirus disease (COVID-19) began in Wuhan, Hubei Province, China. The disease has rapidly spread from Wuhan to other provinces and other countries. Clinical and epidemiological knowledge is limited. We aimed to describe the clinical and epidemiological characteristics of a family cluster of COVID-19 in Beijing.Methods We reported a family cluster of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases in Beijing, China. We obtained and analyzed clinical and epidemiologic data from these patients. Throat swab samples were tested for SARS-CoV-2 using real-time reverse transcriptase-polymerase chain reaction assays.Results This family comprised three laboratory confirmed cases with clinical symptoms. All three patients had close contact with a relative from Wuhan, Hubei Province. Chest computerized tomography revealed ground-glass opacities and consolidation. Patient 1 was finally intubated and mechanical ventilated. Patient 2 received high-flow oxygen therapy. The clinical condition of Patient 3 has resolved.Conclusion SARS-CoV-2 infections tend to clusters. Advanced age and comorbidities are associated with adverse outcomes. Physicians should be aware of contact history so that infected patients can be identified promptly and further spreading prevented.

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