COVID-19: Analysis of epidemiological features

2021 ◽  
Vol 10 (05) ◽  
pp. 5-13
Author(s):  
Şeyda Tələt qızı Şixəliyeva ◽  
◽  
Marina Rüstəm qızı İsmayıl ◽  
Ramilə Əkbər qızı Hacıyeva ◽  
Şəfəq Yolçu qızı Mustafayeva ◽  
...  
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Epidemiological Studies ◽  
First Century ◽  
Fatality Rate ◽  
Epidemiological Features ◽  
The World ◽  
Coronavirus Infection ◽  
Race Ethnicity

There have been three fatal coronavirus-related pandemics in the twenty-first century: SARS (2002), MERS (2012), and COVID-19(2019). COVID19 first appeared in Wuhan, China, in December 2019 and quickly spread worldwide. COVID-19 is a transmissible viral infection that is caused by SARS-CoV-2, a severe acute respiratory syndrome coronavirus 2. Epidemiological studies conducted in many countries of the world are aimed at identifying the presence of dependence of morbidity and mortality on various factors. Some of these factors are the age, sex, race or ethnicity of the patients. Analysis of published studies has revealed a significant correlation between age, gender, and ethnicity factors and the severity of the course and mortality from COVID-19, which may further contribute to the development of alternative strategic approaches to solve the global problem of coronavirus infection-SARS-CoV-2. Key words: coronavirus, COVID 19, age qroup, case fatality rate, gender, race, ethnicity

Impact of hydroxychloroquin/azithromycin protocol on COVID-19 case-fatality rate reduction in Algeria. (Preprint)

2020 ◽  
Author(s):  
Ahmed Youssef Kada
Keyword(s):  
Case Fatality Rate ◽  
Doubling Time ◽  
Case Fatality ◽  
World Health ◽  
Fatality Rate ◽  
Therapeutic Protocol ◽  
First Case ◽  
The World ◽  
The Impact ◽  
At Home

BACKGROUND Covid-19 is an emerging infectious disease like viral zoonosis caused by new coronavirus SARS CoV 2. On December 31, 2019, Wuhan Municipal Health Commission in Hubei province (China) reported cases of pneumonia, the origin of which is a new coronavirus. Rapidly extendable around the world, the World Health Organization (WHO) declares it pandemic on March 11, 2020. This pandemic reaches Algeria on February 25, 2020, date on which the Algerian minister of health, announced the first case of Covid-19, a foreign citizen. From March 1, a cluster is formed in Blida and becomes the epicentre of the coronavirus epidemic in Algeria, its total quarantine is established on March 24, 2020, it will be smoothly alleviated on April 24. A therapeutic protocol based on hydroxychloroquine and azithromycin was put in place on March 23, for complicated cases, it was extended to all the cases confirmed on April 06. OBJECTIVE This study aimed to demonstrate the effectiveness of hydroxychloroquin/azithromycin protocol in Algeria, in particular after its extension to all patients diagnosed COVID-19 positive on RT-PCR test. We were able to illustrate this fact graphically, but not to prove it statistically because the design of our study, indeed in the 7 days which followed generalization of therapeutic protocol, case fatality rate decrease and doubling time increase, thus confirming the impact of wide and early prescription of hydroxychloroquin/azithromycin protocol. METHODS We have analyzed the data collected from press releases and follow-ups published daily by the Ministry of Health, we have studied the possible correlations of these data with certain events or decisions having a possible impact on their development, such as confinement at home and its reduction, the prescription of hydroxychloroquine/azithromycin combination for serious patients and its extension to all positive COVID subjects. Results are presented in graphics, the data collection was closed on 31/05/2020. RESULTS Covid-19 pandemic spreads from February 25, 2020, when a foreign citizen is tested positive, on March 1 a cluster is formed in the city of Blida where sixteen members of the same family are infected during a wedding party. Wilaya of Blida becomes the epicentre of coronavirus epidemic in Algeria and lockdown measures taken, while the number of national cases diagnosed begins to increases In any event, the association of early containment measures combined with a generalized initial treatment for all positive cases, whatever their degree of severity, will have contributed to a reduction in the fatality rate of COVID 19 and a slowing down of its doubling time. CONCLUSIONS In Algeria, the rapid combination of rigorous containment measure at home and early generalized treatment with hydroxychloroquin have demonstrated their effectiveness in terms of morbidity and mortality, the classic measures of social distancing and hygiene will make it possible to perpetuate these results by reducing viral transmission, the only unknown, the reopening procedure which can only be started after being surrounded by precautions aimed at ensuring the understanding of the population. CLINICALTRIAL Algeria, Covid-19, pandemic, hydroxychloroquin, azithromycin, case fatality rate

scholarly journals 2019 Novel Coronavirus (COVID-19) pneumonia: an unusual lung ultrasound presentation.

2020 ◽  
Author(s):  
Letizia Consoli ◽  
Vittorio Bendotti ◽  
Sara Cicchinelli ◽  
Federico Gaioni ◽  
Paola Prandolini ◽  
...  
Keyword(s):  
Case Fatality Rate ◽  
Lung Ultrasound ◽  
Case Fatality ◽  
Ground Glass Opacity ◽  
Public Health Emergency ◽  
Fatality Rate ◽  
Chest Computed Tomography ◽  
Ultrasound Findings ◽  
The World ◽  
Novel Coronavirus

Abstract In December 2019, a novel coronavirus (SARS-Cov-2) was first reported in Wuhan, China, and rapidly spread around the world, leading to an international emerging public health emergency. As reported from Chinese experiences, approximately 20% of patients had a severe course, requiring intensive care, with an overall case fatality rate of 2.3%. In diagnosis, chest computed tomography most commonly showed ground-glass opacity with or without consolidative patterns.Herein we report a case of a patient affected by COVID-19 pneumonia referred in the emergency department of our institution on 4 April 2020 with peculiar lung ultrasound findings.

scholarly journals Effectiveness of Containment Measures to Control the Spread of COVID-19 in North Africa

2020 ◽  
pp. 1-5
Author(s):  
Ouail Ouchetto ◽  
Asmaa Drissi Bourhanbour ◽  
Mounir Boumhamdi
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
North Africa ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Reproductive Number ◽  
Fatality Rate ◽  
First Case ◽  
Containment Measures

ABSTRACT Objectives: Since the first case of severe acute respiratory syndrome coronavirus-2, identified in December 2019, in Wuhan in China, the number of cases rapidly increased into a pandemic. Governments worldwide have adopted different strategies and measures to interrupt the transmission of coronavirus disease 2019 (COVID-19). The main objective was to report and evaluate the effectiveness of the adopted measures in North Africa countries. Methods: In these countries, the effective reproductive number R(t), the naïve case fatality rate, and the adjusted case fatality rate were estimated and compared on different dates. Results: The obtained results show that the early strict application of containment measures and confinement could help contain the spread of the epidemic and maintain the number of deaths low. Conclusions: These measures might be useful for other countries that are experiencing the start of local COVID-19 outbreaks. They could also serve to halt the spread of new epidemics or pandemics.

scholarly journals Disease Associated with Equine Coronavirus Infection and High Case Fatality Rate

2014 ◽  
Vol 29 (1) ◽  
pp. 307-310 ◽  
Author(s):  
C.L. Fielding ◽  
J.K. Higgins ◽  
J.C. Higgins ◽  
S. McIntosh ◽  
E. Scott ◽  
...  
Keyword(s):  
Case Fatality Rate ◽  
Case Fatality ◽  
Fatality Rate ◽  
High Case Fatality Rate ◽  
Coronavirus Infection

scholarly journals A brief account of various treatment modalities for COVID-19 infections

2021 ◽  
Author(s):  
Saumil Maduskar
Keyword(s):  
Viral Load ◽  
Severe Acute Respiratory Syndrome ◽  
Elderly Patients ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Treatment Modalities ◽  
Fatality Rate ◽  
Igm Antibodies

COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and has a case fatality rate of 2-3%, with higher rates among elderly patients and patients with comorbidities. It was determined in a study that the viral load peaked during the first week of illness and then gradually declined over the second week. Viral load also correlates with age and the existent of comorbidities. Furthermore, both IgG and IgM antibodies starts to increase by around day 10 after symptomatic onset and most patients had seroconversion within the first 3 weeks. This hints at the fact that the patients are most infectious during the first week of infection and also accounts for the high transmissibility of SARS-CoV-2 during this period

scholarly journals Python Programming in PyPI for Translational Medicine

2021 ◽  
Vol 1 (3) ◽  
pp. 323-331
Author(s):  
Yoshiyasu Takefuji
Keyword(s):  
Translational Medicine ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Lag Time ◽  
The Internet ◽  
Fatality Rate ◽  
Target Values ◽  
The World ◽  
Python Programming ◽  
Python Package

This is the world’s first tutorial article on Python Packaging for beginners and practitioners for translational medicine or medicine in general. This tutorial will allow researchers to demonstrate and showcase their tools on PyPI packages around the world. Nowadays, for translational medicine, researchers need to deal with big data. This paper describes how to build an executable Python Package Index (PyPI) code and package. PyPI is a repository of software for the Python programming language with 5,019,737 files and 544,359 users (programmers) as of 19 October 2021. First, programmers must understand how to scrape a dataset over the Internet; second, they must read the dataset file in csv format; third, build a program to compute the target values; fourth, convert the Python program to the PyPI package.; and fifth, upload the PyPI package. This paper depicts a covidlag executable package as an example for calculating the accurate case fatality rate (CFR) and the lag time from infection to death. You can install the covidlag by pip terminal command and test it. This paper also introduces deathdaily and scorecovid packages on PyPI Stats, which can inform how many users have downloaded the specified PyPI package. The usefulness and applicability of a developed tool can be verified by PyPI Stats with the number of downloaded users.

scholarly journals Severe Acute Respiratory Syndrome Coronavirus 2 Lethality Did not Change Over Time in Two Italian Provinces

2020 ◽  
Vol 7 (12) ◽  
Author(s):  
Maria Elena Flacco ◽  
Cecilia Acuti Martellucci ◽  
Francesca Bravi ◽  
Giustino Parruti ◽  
Alfonso Mascitelli ◽  
...  
Keyword(s):  
Cohort Study ◽  
Severe Acute Respiratory Syndrome ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Fatality Rate ◽  
Day Case ◽  
Italian Provinces ◽  
Over Time

Abstract This retrospective cohort study included all the subjects diagnosed with severe acute respiratory syndrome coronavirus 2 infection (n = 2493) in 2 Italian provinces. Two hundred fifty-eight persons died, after a median of 14.0 ± 11.0 days. Adjusting for age, gender, and main comorbidities, the ≥28-day case-fatality rate did not decrease from March to April 2020 (adjusted hazard ratio, 0.93; P = .6).

scholarly journals Egypt's COVID-19 Recent Happenings and Perspectives: A Mini-Review

2021 ◽  
Vol 9 ◽  
Author(s):  
AbdulRahman A. Saied ◽  
Asmaa A. Metwally ◽  
Norah Abdullah Bazekh Madkhali ◽  
Shafiul Haque ◽  
Kuldeep Dhama
Keyword(s):  
Case Fatality Rate ◽  
Case Fatality ◽  
Animal Origin ◽  
Fatality Rate ◽  
Health Concerns ◽  
The World ◽  
The Usa ◽  
Egyptian Government ◽  
Low Prevalence ◽  
And Control

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has affected countries across the world. While the zoonotic aspects of SARS-CoV-2 are still under investigation, bats and pangolins are currently cited as the animal origin of the virus. Several types of vaccines against COVID-19 have been developed and are being used in vaccination drives across the world. A number of countries are experiencing second and third waves of the pandemic, which have claimed nearly four million lives out of the 180 million people infected globally as of June 2021. The emerging SARS-CoV-2 variants and mutants are posing high public health concerns owing to their rapid transmissibility, higher severity, and in some cases, ability to infect vaccinated people (vaccine breakthrough). Here in this mini-review, we specifically looked at the efforts and actions of the Egyptian government to slow down and control the spread of COVID-19. We also review the COVID-19 statistics in Egypt and the possible reasons behind the low prevalence and high case fatality rate (CFR%), comparing Egypt COVID-19 statistics with China (the epicenter of COVID-19 pandemic) and the USA, Brazil, India, Italy, and France (the first countries in which the numbers of patients infected with COVID-19). Additionally, we have summarized the SARS-CoV-2 variants, vaccines used in Egypt, and the use of medicinal plants as preventive and curative options.

scholarly journals Global Pandemic Trends of COVID-19 in 2020

2021 ◽  
Author(s):  
Hai-Zhen Chen ◽  
Bo Cai ◽  
Jian-Guo Chen
Keyword(s):  
Public Health ◽  
United States ◽  
Mortality Rate ◽  
Incidence Rate ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
The United States ◽  
Cumulative Number ◽  
Fatality Rate ◽  
The World

Abstract Background: The novel coronavirus pneumonia (COVID-19) has been global threaten to public health. This paper provides perspective to the decision-making for public health control of the pandemic or the spread of epidemic.Methods: According to the WHO global reported database, we developed and used the number of cumulative cases, and the number of cumulative deaths to calculate and analyze rates of incidence, mortality, and fatality by country, with respect to the 30 highest outbreak (Top 30) countries.Results： As of December 31, 2020, of the global population of 7.585 billion, the cumulative number of reported cases was 81,475,053, and the cumulative number of deaths was 1,798,050. The incidence rate of COVID-19 was 1074.13 per 100,000 population, the mortality rate was 23.70 per 100,000, and the case fatality rate was 2.21%. Among the Top 30 countries, the five countries with the highest number of reported cumulative cases were, in rank, the United States (19,346,790 cases), India (10,266,674), Brazil (7,563,551), Russia (3,159,297) and France (2,556,708), and the five countries with the highest number of cumulative deaths were the United States (335,789 cases), Brazil (192,681), India (148,738), Mexico (123,845) and Italy (73,604). Globally, the countries with the highest incidence rate were, in rank, Andorra, Luxembourg, Montenegro, San Marino, and Czechia; the countries with the highest mortality rate were, in rank, San Marino, Belgium, Slovenia, Italy, and North Macedonia. The highest fatality rate was found in Yemen, Mexico, Montserrat, Isle of Man, and Ecuador, respectively. In China, 96,673 cases of COVID-19 and 4788 deaths were reported in 2020, ranking the 78th and the 43rd, respectively, in the world. The incidence rate and mortality rate were 6.90/105 and 0.34/105, respectively, ranking 207th and 188th in the world. The case fatality rate was 4.95%, ranking 11th in the world.Conclusions： The COVID-19 prevalence is still on the rise, and the turning points of incidence and mortality are not yet forecasted. Personal protection, anti-epidemic measures and efforts from public health personnel, medical professionals, biotechnology R&D personnel, effectiveness of the vaccination programs and the governments, are the important factors to determine the future prevalence of this coronavirus disease.

scholarly journals Mortality Rate and Case Fatality Rate of COVID-19 Around The World: An Adjusted Estimation

2021 ◽  
Author(s):  
Moslem Taheri Soodejani ◽  
Ali Akbar Haghdoost ◽  
Mohammad Hassan Lotfi ◽  
Marzieh Mahmudimanesh ◽  
Seyyed Mohammad Tabatabaei
Keyword(s):  
Diabetes Mellitus ◽  
Health Status ◽  
Mortality Rate ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Total Expenditure ◽  
Fatality Rate ◽  
The World ◽  
Per Capita ◽  
Prevalence Of Diabetes Mellitus

Abstract Background: The present study is designed to predict the global adjusted values for mortality rate and case fatality rate of COVID-19 around the world. Methods: This research was conducted at the ecological level using data from 100 countries which were chosen randomly. The adjusted values were predicted using beta regression considering predictive factors such as total expenditure on health per capita, expenditure on health as a percentage of GDP, life expectancy and the percentage of the population aged over 65 years, hospital beds (per 1000 population), physicians (per 1000 population), nurses (per 1000 population), prevalence of smoking, prevalence of diabetes mellitus, and number of confirmed tests in each country. In the end, applying Monte Carlo simulation, the adjusted values of mortality rate and case fatality rate for the whole world were estimated.Results: The results of this study showed that two factors including percentage of population ages 65 and above (P=0.03) and Total expenditure on health as % of GDP (P = 0.04) had a statistically significant relationship with the case fatality rate. Moreover, there was a statistically significant relationship between the mortality rate and life expectancy (P = 0.02), total expenditure on health per capita (P < 0.001), nurses (Per 1000 Population) (P=0.04), and the prevalence of Diabetes Mellitus (P=0.04). The mortality rate and case fatality rate for the whole world were estimated to be 0.000001 and 0.026, respectively.Conclusion: It seems that what can cause global concern is not the case fatality rate of the disease, but its mortality rate, which is directly related to the health status of a community. The worse the health status of a community, the greater the number of infected people likely to be there, that ultimately increases the mortality rate of the disease in the community.

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