Literature DB >> 32864577

Exploring Epidemiological Behavior of Novel Coronavirus (COVID-19) Outbreak in Bangladesh.

Samrat Kumar Dey1, Md Mahbubur Rahman2, Umme Raihan Siddiqi3, Arpita Howlader4.   

Abstract

Globally, there is an obvious concern about the fact that the evolving 2019-nCoV coronavirus is a worldwide public health threat. The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China at the end of 2019 triggered a major global epidemic, which is now a major community health issue. As of August 13, 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh has reported 269,095 confirmed cases between 8 March and 13 August 2020, with > 1.30% of mortality rate and > 57% of recovery rate. COVID-19 outbreak is evolving so rapidly in Bangladesh; therefore, the availability of epidemiological data and its sensible analysis are essential to direct strategies for situational awareness and intervention. This article presents an exploratory data analysis approach to collect and analyze COVID-19 data on epidemiological outbreaks based on the first publicly available COVID-19 Daily Dataset of Bangladesh. Various publicly open data sources on the outbreak of COVID-19 provided by the IEDCR, World Health Organization (WHO), Directorate General of Health Services (DGHS), and Ministry of Health and Family Welfare (MHFW) of Bangladesh have been used in this research. Visual exploratory data analysis (V-EDA) techniques have been followed in this research to understand the epidemiological characteristics of COVID-19 outbreak in different districts of Bangladesh between 8 March 2020 and 13 August 2020 and these findings were compared with those of other countries. In all, this is extremely important to promptly spread information to understand the risks of this pandemic and begin containment activities in the country. © Springer Nature Switzerland AG 2020, corrected publication 2020.

Entities:  

Keywords:  Bangladesh; COVID-19 BD Dataset; Coronavirus; Data analysis; Outbreak; SARS-CoV-2; Visualization

Year:  2020        PMID: 32864577      PMCID: PMC7447972          DOI: 10.1007/s42399-020-00477-9

Source DB:  PubMed          Journal:  SN Compr Clin Med        ISSN: 2523-8973


Background

Bangladesh is a democratic nation surrounded by east, west, and north India, Myanmar from southeast with Bay of Bengal on the southern side. As of 1 July 2017, the population size in Bangladesh is estimated at 162.7 million (male female ratio is 100.2:100). It has a unitary form of government, without a province or a territory. There are 64 districts in the country and again each district is divided into several sub districts (which is called upazilas). Right now, there are eight divisions (Barisal, Chittagong, Dhaka, Khulna, Mymensingh, Rajshahi, Rangpur, and Sylhet) in the country and each division is named after the major city within its jurisdiction, which also acts as the administrative headquarter of that division. The Ministry of Health and Family Welfare (MoHFW) is responsible for the preparation and management of curative, preventive, and pro-active health services for the population of the country and therefore considered one of the largest ministries of the Government of Bangladesh. The Institute of Epidemiology, Disease Control and Research (IEDCR) is considered the focal institute for conducting public health surveillance and outbreak response. During the last few years, however, the efficiency of the International Health Regulation (IHR) has dramatically increased and exceeded 68% in the country [1]. Moreover, it also has the national ability to test COVID-19 patients by using polymerase chain reaction (PCR) machine confirmed laboratory. The first case of pneumonia of unknown origin identified in Wuhan City, the capital of Hubei Province, China in early December 2019 was later determined as a non-SARS novel coronavirus by the Chinese Center for Disease Control and Prevention (CDC) [2]. Coronaviruses are non-segmented positive-sense RNA viruses that belong to the Coronaviridae family and the Nidovirales order and are widely distributed in humans and other mammals [3]. The pathogen has been described as a novel enveloped RNA betacoronavirus [4] commonly referred to as severe acute respiratory coronavirus 2 syndrome (SARS-CoV-2), having a phylogenetic resemblance to SARS-CoV [5]. With a mortality rate of 10% for SARS-CoV and 37% for MERS-CoV [6, 7], the epidemics of the two beta coronaviruses, severe acute respiratory syndrome coronavirus (SARS-CoV) [8, 9], and Middle East respiratory syndrome coronavirus (MERS-CoV) [10, 11], have caused more than ten thousand cumulative cases in the last two decades. With no surprise, on 30 January 2020, the World Health Organization (WHO) declared the COVID-19 outbreak as a Public Health Emergency of International Concern (PHEIC) [12]. As of August 13, 2020, a total of 20,439,814 laboratory-confirmed cases have been documented globally and among them, Bangladesh has confirmed 269,095 cases with a death rate of 1.32% [13]. This report will investigate Bangladesh’s epidemiological data based on the country’s first COVID-19 Daily Dataset between March 8, 2020 and August 13, 2020. Between 8 March and 10 August 2020, according to the IEDCR, there were 260,507 COVID-19 confirmed by rt-PCR, including 3438 reported death cases. Based on the previous reported week (until 3 August 2020), in comparison with the previous epidemiological week, the number of new weekly COVID-19 cases decreased by 2.5% (16,854 and 17,293 respectively) while the number of COVID-19 new weekly deaths increased by 8.4%. On February 5, 2020, the IEDCR performed coronavirus tests on 39 Bangladeshis for the very first time, those who came back to Bangladesh from China on that time. Until then, none of them found infected with the virus. In these circumstances, turning public fears into reality, on 8 March 2020, Bangladesh has confirmed its first case of COVID-19 patients (N = 3) caused by SARS-CoV-2 virus. Among these, two of the three infected were all aged between 20 and 35 and returned recently to Bangladesh from different cities in Italy. However, this is significant that, only after 7 days of the first confirmed COVID-19 reported case, on 16 March 2020, the IEDCR reported that the virus had begun to spread locally, and indicated that children in the country had been infected with coronavirus for the very first time. As the outbreak of COVID-19 is expanding rapidly globally, already appeared as a global pandemic, therefore we aim to describe the number of different cases caused by SARS-CoV-2 and represent the epidemiological data through visual exploratory data analysis (EDA) [14] approach. Considering COVID-19’s rapid spread, we have designed a comprehensive daily dataset [15] and decided that an updated case review with outbreak analysis in Bangladesh may help identify the epidemiological characteristics and severity of the disease across the country. Apart from preparing an inclusive dataset, this research will also analyze the different trend of documented cases of COVID-19 in the countries of the South East Asian Region (SEAR), and South Asian Association for Regional Cooperation (SAARC). Moreover, this work would pose a concern for the citizens of Bangladesh, whether the situation of COVID-19 in the country is on the verge of a rapid outbreak in the near future or if it can flatten the curve. As of August 15, 2020, according to the situation report provided by the IEDCR [16], thirty-four (34) new death cases taking the total number of death cases to 3625 in the country and confirmed case raised to 274,525.

Methods

In this research, we have used numerous range of data sources for preparing our datasets. This dataset is named as “Bangladesh COVID-19 Daily Dataset” available at this URL: https://www.kaggle.com/samratkumardey/bangladesh-covid19-daily-dataset. As per our knowledge, “Bangladesh COVID-19 Daily Dataset” is the first designed and developed dataset that enlist the different cases (confirmed, death, recovered, number of test, etc.) of COVID-19 outbreak in Bangladesh. We use official government sources which include (a) daily press briefing provided by IEDCR, (b) press releases from official website of Corona BD (https://corona.gov.bd/), (c) press releases on the official websites of Ministries of Health (http://www.mohfw.gov.bd/), and Directorate General of Health Services (DGHS) (https://dghs.gov.bd/index.php/en/). In order to prepare a comprehensive and precise dataset, we collected data on the following: (i) daily dates, which include the date of daily new confirmed case, total confirmed case, daily new deaths, total deaths, daily new recovered, total recovered, daily new tests, total tests, and active cases; (ii) geographic information, division and district-wise confirmed cases; (iii) demographic statistics about the patient’s age and sex; and (iv) date-wise statistics of quarantine and isolated patients. Table 1 provides insight on Bangladesh COVID-19 Daily Dataset and their respective data files with their column description. As this is a time series data, therefore the number of instances on a given day is the cumulative number. This dataset contains different COVID-19 case data from 8 March 2020 to 13 August 2020. It is to be notated that Bangladesh has familiarized with its very first laboratory tested confirmed COVID-19 patients on 8 March 2020 and it reported its first death case on 18 March 2020. Our research team believes that these data should be available to policy makers, health professionals, and data analysts and should be readily accessible.
Table 1

Tabular representation of Bangladesh COVID-19 Daily Dataset with column description

Bangladesh COVID-19 Daily Dataset
Data filesColumnsDescription
COVID-19 BD Dataset-13 August.csvDateSpecific date
Daily new confirmed casesDay-wise new confirmed case reported
Total confirmed casesAggregate confirmed cases of each day
Daily new deathsDay-wise new death case reported
Total deathsAggregate death cases of each day
Daily new recoveredDay-wise new recovered case reported
Total recoveredAggregate recovered cases of each day
Daily new testsDay-wise number of new test performed
Total testsCumulative number of test of each day
Active casesUntil date number of active patient
COVID-19 BD Isolation statistics.csvDateSpecific date
Total isolationCumulative isolated patients until date
Currently in isolationNumber of isolation patients until now
Release from isolationNumber of patients released from isolation
COVID-19 BD Quarantine statistics.csvDateSpecific date
Total quarantineCumulative quarantine persons until date
Currently in quarantineNumber of quarantine persons until now
Release from quarantineNumber of person released from quarantine
COVID 19 BD District wise confirmed cases.csvDivisionName of the division
DistrictName of the district
Number of confirmed cases until dateCumulative case number
COVID 19 BD Dhaka location wise confirmed cases.csvCity/locationDhaka city location
Number of confirmed cases until dateAggregate confirmed cases of each day until date at Dhaka City
Tabular representation of Bangladesh COVID-19 Daily Dataset with column description

Results

This exploratory data analysis (EDA) mainly focused on the COVID-19 outbreak of a South East Asian country, Bangladesh. Apart from designing and developing a dataset, this research also analyzed the different characteristics of COVID-19 epidemic between 8 March 2020 and 13 August 2020. All the data analysis and comparative results are based on the data that we collected and curated individual-level data from the national level, division level, district level, and official health reports provided by government officials, as well as additional information from the WHO situation report. As of 15 August 2020, according to the Institute of Epidemiology, Disease Control and Research (IEDCR), there are 274,525 confirmed COVID-19 cases by rt-PCR in Bangladesh, including 157,635 patients who have recovered and 3625 related deaths; case fatality rate (CFR) is 1.32%. Figure 1 shows the daily distribution of confirmed, deaths, recovered, and active COVID-19 cases from 08 March 2020 to 13 August 2020 in Bangladesh. Between 1 March 2020 and 10 August 2020, out of the total 260,507 COVID-19 cases, 57.75% (150437) were cured, 1.32% (3438) died, and 40.93% (106632) were active cases with 72% (187,565) males and 28% (72,941) females reported confirmed cases respectively. Until 10 August, Bangladesh has reached to its epidemiological week of 22 since its first confirmed case of COVID-19. In epidemiological week 22, the number of COVID-19 active cases increased by 3.7%, in comparison with the previous week (week 21) (102,954 and 99,243) and at the same time, the number of recovered COVID-19 cases decreased by 11.0% (11,531 and 12,240 respectively). Distribution of confirmed and deaths of COVID-19 cases by age, gender, and division is shown on Table 2. As of 10 August 2020, 26.9% cases were confirmed in people between 31 and 40 years old, followed by 20.7% in the age group of 21 to 30, 18.8% in the age group of 41–50 years, and 15.0% in the age group between 51 and 60 years old. The highest death rate (30.7%) was reported in the age group of 61–70 years old, 25.6% in the older age group of 71 and above, and 24.2% in the age group between 51 and 60 years.
Fig. 1

Graphs provide an overview of how COVID-19 is spreading in Bangladesh for the last 156 days (from 8 March 2020 to 13 August 2020). Until date, Bangladesh has confirmed 269,095 laboratory tested COVID-19 positive patients. a The specific date-wise number of confirmed cases for each day. b The number of death case reported each day. Until 13 August 2020, Bangladesh has reported 3557 (1.32%) deaths from 18 March 2020 (first death case reported). c and d The date-wise number of recovered patients 154,871 (57.55%) from COVID-19 and available patients under treatment 41.12% (110,667) until 13 August 2020

Table 2

Distribution of COVID-19 confirmed and death cases by Age, gender, and division, 08 March–10 August 2020 in Bangladesh

Age distribution of death patients
Age groupNumber of death casesPercentage %
  > 60 years162247.18%
  51–60 years98128.53%
  41–50 years47413.79%
  31–40 years2196.37%
  21–30 years902.62%
  11–20 years330.96%
  0–10 years190.55%
Total(N = 3438)100%
Gender distribution of confirmed patients
SexNumber of confirmed casesPercentage %
  Male187,56572%
  Female72,94128%
Gender distribution of death patients
SexNumber of death casesPercentage %
  Male271679%
  Female72221%
Distribution of confirmed COVID-19 death cases by division
DivisionNumber of death casesPercentage %
  Barisal1374%
  Chittagong83024%
  Dhaka158646%
  Khulna2637%
  Mymensingh762%
  Rajshahi2116%
  Rangpur1384%
  Sylhet1585%
  Unknown391.13%
Total(N = 3438)~ 100%
Age-sex distribution of the reported confirmed COVID-19 deaths
Age groupMaleFemale
  > 80 years5.2%1.5%
  71–80 years15.9%3.0%
  61–70 years24.4%6.3%
  51–60 years19.8%4.4%
  41–50 years8.2%2.1%
  31–40 years4.0%1.7%
  21–30 years1.1%1.0%
  11–20 years0.5%0.4%
  0–10 years0.1%0.3%
Total~ 79%~ 21%
Graphs provide an overview of how COVID-19 is spreading in Bangladesh for the last 156 days (from 8 March 2020 to 13 August 2020). Until date, Bangladesh has confirmed 269,095 laboratory tested COVID-19 positive patients. a The specific date-wise number of confirmed cases for each day. b The number of death case reported each day. Until 13 August 2020, Bangladesh has reported 3557 (1.32%) deaths from 18 March 2020 (first death case reported). c and d The date-wise number of recovered patients 154,871 (57.55%) from COVID-19 and available patients under treatment 41.12% (110,667) until 13 August 2020 Distribution of COVID-19 confirmed and death cases by Age, gender, and division, 08 March–10 August 2020 in Bangladesh It is evident that there has been an increasing trend in the number of reported confirmed cases since 3 April 2020, due to expansion of COVID-19 testing in the country and establishing testing capacity in 85 laboratories until now (Fig. 2). By 10 August 2020, according to the IEDCR, 1,273,168 COVID-19 samples were tested with the overall positivity rate of 20.46% in Bangladesh with the support of 49 laboratories (57.6%) in Dhaka City and 36 laboratories (42.4%) outside Dhaka. However, COVID-19 testing coverage has been gradually increasing in Bangladesh, reaching 7485/1,000,000 population until 10 August 2020. Figure 1 shows the date-wise daily distribution of confirmed COVID-19 cases from 08 March to 13 August 2020 in Bangladesh. Dhaka remains the area of the highest concentration of the reported COVID-19 cases (Fig. 3). As of 10 August, 64.7% (168,548/260,507) of all confirmed cases were reported form Dhaka Division, followed by Chittagong Division 14.4% (37,513/260,507), Rajshahi Division 5.5% (14,327/260,507), Khulna Division 5.1% (13,285/260,507), Sylhet Division 3.2% (8336/260,507) Rangpur Division 2.7% (7033/260,507), and Barisal Division 2.5% (6512/260,507) and the remaining 1.9% (4949/260507) were lowest reported from Mymensingh Division.
Fig. 2

This graphical analysis will lead us to understand the current situation of COVID-19 outbreak in Bangladesh. a A comparative date-wise representation of death cases with recoveries. Until 13 August 2020, Bangladesh has reported 1.32% (3557) death cases, whereas 57.55% (154,871) patients recovered successfully among 269,095 confirmed patients. b Another date-wise comparison of the number of COVID-19 tests performed and the number of confirmed cases is shown. With time, the number of the test-performed curve rises along with the total reported confirmed case. Around 1,316,543 tests performed until 13 August 2020 and among them 269,095 patients found COVID-19 positive. c and d The date-wise quarantine and isolation statistics for the 159 days managed by the Government of Bangladesh

Fig. 3

Distribution of COVID-19 laboratory tested confirmed cases in different districts of Bangladesh from 8 March 2020 to 13 August 2020. Dhaka, the capital of the country, shows the highest number of reported COVID-19 confirmed cases

This graphical analysis will lead us to understand the current situation of COVID-19 outbreak in Bangladesh. a A comparative date-wise representation of death cases with recoveries. Until 13 August 2020, Bangladesh has reported 1.32% (3557) death cases, whereas 57.55% (154,871) patients recovered successfully among 269,095 confirmed patients. b Another date-wise comparison of the number of COVID-19 tests performed and the number of confirmed cases is shown. With time, the number of the test-performed curve rises along with the total reported confirmed case. Around 1,316,543 tests performed until 13 August 2020 and among them 269,095 patients found COVID-19 positive. c and d The date-wise quarantine and isolation statistics for the 159 days managed by the Government of Bangladesh Distribution of COVID-19 laboratory tested confirmed cases in different districts of Bangladesh from 8 March 2020 to 13 August 2020. Dhaka, the capital of the country, shows the highest number of reported COVID-19 confirmed cases As of 13 August, there were 52,902 individuals at quarantine (both in home and institutional quarantine); since the day home quarantine was established in the country to 13 August 2020, a total of 462,062 individuals were quarantined and of them 88.55% (409161) were released (Fig. 2). Similarly, a total of 60,020 individuals were documented in isolation (until 13 August 2020), whereas a total of 32.83% (19,708) individuals were currently in isolation; among them, 67.12% (40,312) were released from isolation until 13 August 2020. A date-wise recovery with death case analysis and number of test performed each day with the number of confirmed cases is also presented in this research (Fig. 2). However, as of 10 August 2020, COVID-19 case doubling time varies in different divisions of the country. Case doubling time was 12.5 days in Dhaka Division, 15 days in Chittagong and Khulna, fluctuates between 16 and 20 days in Rajshahi, Sylhet, and Barisal divisions, and more than 20 days in Mymensingh and Rangpur divisions. Until 10 August 2020, Bangladesh overall attack rate (AR) of the country was 1529.6 per 1 million and 100% (64/64) of districts with the total population of 170,306,468 people have reported confirmed COVID-19 cases. Moreover, on epidemiological week 22, weekly attack rate increased by 7.0% in comparison with the previous week (1513 and 1414 respectively). The highest attack rate continues to be observed in the Dhaka Division until 10 August 2020. Dhaka City reported the highest AR (15,904.7/1,000,000) followed by Faridpur (2365), Narayanganj (1730.5), Munshiganj (1668.6), Gopalganj (1332.4), Rajbari (1286.7), Gazipur (1088.1), Shariatpur (916.9), Madaripur (897.3), Dhaka District (690.2), Narsingdi (685.4), Kishoreganj (624.5), and Manikganj (550.2) and the lowest AR 438.7 per 1 million was reported from Tangail District. However, the second, third, and fourth attack rates were reported from Chittagong (1102.4/1,000,000), Khulna (766.9/1,000,000), and Sylhet (715.4/1,000,000) respectively. Barishal (649.3/1,000,000), Rangpur (400.9/1,000,000), and Mymensingh divisions (379.9/1,000,000) reported the comparatively lowest attack rate comparing with other divisions of the country. Due to geographic orientation, Bangladesh is enlisted as a country of South East Asian Region (SEAR) and it also works together with the South Asian Association for Regional Cooperation (SAARC) forum. Therefore, this research also compares the confirmed and mortality ratio in terms of days with these neighboring countries of the same region. However, this study also covers countries that had higher mortality rates worldwide until August 13, 2020 (Fig. 4). This study correlates Bangladesh with SEAR, SARRC, and top 10 countries (based on the highest number of confirmed cases and recorded deaths) in terms of the number of days it takes to show a similar trend based on confirmed and mortality case pattern.
Fig. 4

Comparative analysis in terms of days since the fifth total confirmed death and number of days since the 100th confirmed cases with SAARC, SEAR, and top 10 countries (based on confirmed cases and highest death reported)

Comparative analysis in terms of days since the fifth total confirmed death and number of days since the 100th confirmed cases with SAARC, SEAR, and top 10 countries (based on confirmed cases and highest death reported)

Discussion

We report here all the different cases of COVID-19 outbreak in Bangladesh based on daily dataset and compare its results with the countries of South Asian Association for Regional Cooperation (SAARC), South East Asian Region (SEAR), and globally top ten countries in terms of their daily confirmed and death rate between 8 March 2020 and 13 August 2020. Moreover, design and development of country’s first “Bangladesh COVID-19 Daily Dataset” are also focused in this research. Like other South Asian countries, Bangladesh also outlined measures and plans to face this severe pandemic of COVID-19 with utmost importance. When an outbreak such as this occurs, readily available data and knowledge are equally essential to continue the evaluation required to identify the threats and begin outbreak containment activities. From the observation, it is evident that for Bangladesh the number of total confirmed death has doubled in the last 46 days (1783 deaths on June 30 and 3591 deaths on August 15, 2020). On the other hand, the number of total confirmed cases has doubled in the last 48 days (133,978 cases on June 28 and 271,881 cases on August 15, 2020). Overall case doubling time in Bangladesh has slowed to 13.5 days until 10 August 2020 (1.0 days more in comparison with epidemiological week 21). It is also notable that the number of confirmed cases in the country increased rapidly as the conduction of number of test increased in passage of time. As of 10 August, total COVID-19 test per 1000 people was 7.73. However, until 13 August 2020, 100% (64/64) district of the country has already been infected with at least more than three hundred (> 300) confirmed COVID-19 cases. Until now (14 August 2020), Bangladesh has only reported 9.278% (269,115/ 2,900,347 cases) of confirmed cases in South East Asian Region with a case fatality rate of 6.15% (3557/57,756 death cases). Importantly, regarding the trend analysis of daily-confirmed cases in terms of number of days since the 100th confirmed cases, Bangladesh (263,503 cases on the 127 days of 100 confirmed cases) shows the similar trend until now with Pakistan (267,428), Spain (252,123), Iran (232,863), and Colombia (226,373). However, no countries have the same trend as Bangladesh in terms of days since the fifth confirmed deaths until now. The pandemic has shown us how quickly a new epidemic will catch up and spread. Comprehension is expected with an eruption in clinical and epidemiological information and research. Therefore, the goal of this research is to open up whatever resources we have to help the public health authorities, researchers, and clinicians in Bangladesh in mitigating and handling this crisis. The study presented here, using our designed dataset “Bangladesh COVID-19 Daily Dataset,” focused on both exploratory and visual exploratory data analyses. All the analyses with the dataset were performed using Tableau Desktop Professional Edition 2020.1.2 64-bit version (https://www.tableau.com/) support on a windows-based local computer platform, using Open Street Map (https://www.openstreetmap.org/) and Map Box (https://www.mapbox.com/) for interactive map visualization in the research laboratory of Dhaka International University (DIU), Bangladesh. Lastly, our research team believes it is crucial to produce accurate, real-time, and reliable data for emerging disease outbreaks, which will help generate credible information that can reinforce which inform policy taking in public health sector.

Conclusion

This report analyzed the data focusing on specific criteria including public awareness, case management, infection control, surveillance, quarantine facility, and trend analysis with other countries. Consequently, this is, to the best of our knowledge, the first initiative of analyzing and visualizing real-world time series COVID-19 data of Bangladesh in such a way that health professionals and researchers around the globe can grasp its severity clearly. The COVID-19 pandemic has ravaged the lives of people around the world and has become a clinical threat to the general population and healthcare workers around the world. However, awareness on this novel virus (SARS-CoV-2) is still minimal in Bangladesh. This study analyzed the one hundred fifty-nine (159) days situation since the first COVID-19 confirmed patients reported in the country. Additionally, this exploration also implemented and used the country’s first publicly available daily COVID-19 case dataset. Also illustrated in this study is the day-wise case review and assessment of epidemiological evidence with SAARC, SEAR, and the top 10 countries worldwide (in terms of confirmed and death cases). Our research team believes this is an early data analysis and visualization approach of a situation that is changing rapidly across the country. Therefore, as the more we learn about this SARS-CoV-2 virus and its associated outbreaks, the better we can respond. We will continue to monitor and update the epidemiological data of COVID-19 outbreak in the country in the upcoming days through the developed dataset.
  9 in total

1.  Identification of a novel coronavirus in patients with severe acute respiratory syndrome.

Authors:  Christian Drosten; Stephan Günther; Wolfgang Preiser; Sylvie van der Werf; Hans-Reinhard Brodt; Stephan Becker; Holger Rabenau; Marcus Panning; Larissa Kolesnikova; Ron A M Fouchier; Annemarie Berger; Ana-Maria Burguière; Jindrich Cinatl; Markus Eickmann; Nicolas Escriou; Klaus Grywna; Stefanie Kramme; Jean-Claude Manuguerra; Stefanie Müller; Volker Rickerts; Martin Stürmer; Simon Vieth; Hans-Dieter Klenk; Albert D M E Osterhaus; Herbert Schmitz; Hans Wilhelm Doerr
Journal:  N Engl J Med       Date:  2003-04-10       Impact factor: 91.245

2.  Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia.

Authors:  Ali M Zaki; Sander van Boheemen; Theo M Bestebroer; Albert D M E Osterhaus; Ron A M Fouchier
Journal:  N Engl J Med       Date:  2012-10-17       Impact factor: 91.245

3.  Middle East respiratory syndrome coronavirus (MERS-CoV): announcement of the Coronavirus Study Group.

Authors:  Raoul J de Groot; Susan C Baker; Ralph S Baric; Caroline S Brown; Christian Drosten; Luis Enjuanes; Ron A M Fouchier; Monica Galiano; Alexander E Gorbalenya; Ziad A Memish; Stanley Perlman; Leo L M Poon; Eric J Snijder; Gwen M Stephens; Patrick C Y Woo; Ali M Zaki; Maria Zambon; John Ziebuhr
Journal:  J Virol       Date:  2013-05-15       Impact factor: 5.103

4.  A novel coronavirus associated with severe acute respiratory syndrome.

Authors:  Thomas G Ksiazek; Dean Erdman; Cynthia S Goldsmith; Sherif R Zaki; Teresa Peret; Shannon Emery; Suxiang Tong; Carlo Urbani; James A Comer; Wilina Lim; Pierre E Rollin; Scott F Dowell; Ai-Ee Ling; Charles D Humphrey; Wun-Ju Shieh; Jeannette Guarner; Christopher D Paddock; Paul Rota; Barry Fields; Joseph DeRisi; Jyh-Yuan Yang; Nancy Cox; James M Hughes; James W LeDuc; William J Bellini; Larry J Anderson
Journal:  N Engl J Med       Date:  2003-04-10       Impact factor: 91.245

5.  Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach.

Authors:  Samrat K Dey; Md Mahbubur Rahman; Umme R Siddiqi; Arpita Howlader
Journal:  J Med Virol       Date:  2020-03-11       Impact factor: 2.327

6.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

7.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

8.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

9.  Newly discovered coronavirus as the primary cause of severe acute respiratory syndrome.

Authors:  Thijs Kuiken; Ron A M Fouchier; Martin Schutten; Guus F Rimmelzwaan; Geert van Amerongen; Debby van Riel; Jon D Laman; Ton de Jong; Gerard van Doornum; Wilina Lim; Ai Ee Ling; Paul K S Chan; John S Tam; Maria C Zambon; Robin Gopal; Christian Drosten; Sylvie van der Werf; Nicolas Escriou; Jean-Claude Manuguerra; Klaus Stöhr; J S Malik Peiris; Albert D M E Osterhaus
Journal:  Lancet       Date:  2003-07-26       Impact factor: 79.321

  9 in total
  3 in total

1.  Health professionals' perspectives on the impact of COVID-19 on sexual and gender-based violence (SGBV) and SGBV services in Rohingya refugee communities in Bangladesh.

Authors:  Shahanoor Akter Chowdhury; Thomas McHale; Lindsey Green; Ranit Mishori; Chloe Pan; Isabel Fredricks
Journal:  BMC Health Serv Res       Date:  2022-06-04       Impact factor: 2.908

2.  Epidemic trend analysis of SARS-CoV-2 in South Asian Association for Regional Cooperation countries using modified susceptible-infected-recovered predictive model.

Authors:  Samrat Kumar Dey; Md Mahbubur Rahman; Kabid Hassan Shibly; Umme Raihan Siddiqi; Arpita Howlader
Journal:  Eng Rep       Date:  2022-07-10

3.  Clinical and epidemiological features of COVID-19 deaths in Nepal.

Authors:  B Panthee; S Dhungana; N Panthee; S Gyawali; A Paudel; S Panthee
Journal:  New Microbes New Infect       Date:  2020-10-19
  3 in total

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