Surges of hospital-based rhinovirus infection during the 2020 coronavirus disease-19(COVID-19)pandemic in Beijing,China

Background A series of public health preventive measures has been widely implemented in Beijing to control the corona-virus disease-19(COVID-19)pandemic since January 2020.An evaluation of the effects of these preventive measures on the spread of other respiratory viruses is necessary.Methods Respiratory specimens collected from children with acute respiratory infections were tested by NxTAGTN,respiratory pathogen panel assays during January 2017 and December 2020.Specimens characterized as rhinoviruses(RVs)were sequenced to identify the RV species and types.Then,the epidemiology results of respiratory pathogens in 2020 were compared with those from 2017 to 2019 using SPSS statistics 22.0.Results The positive rates of adenovirus(ADV),influenza virus(flu),RVs,and respiratory syncytial virus(RSV)dropped abruptly by 86.31%,94.679c,94.59%,and 92.17%,respectively,from February to May 2020,compared with the average level in the same period during 2017-2019.Positive rates of RVs then steeply increased from June 2020(13.77%),to an apex(37.25%)in August 2020,significantly higher than the average rates(22.51%)in August 2017-2019(7^=0.005).The increase,especially in group>3 years,was accompanied by the reopening of schools and kindergartens after the 23rd and 24th week of 2020 in Beijing.Conclusions Whereas the abrupt drop in viral pathogen positive rates from February to May 2020 revealed the remarkable effects of the COVID-19 preventive measures,the sharp increase in positive rates of RVs from the 23rd week of 2020 might be explained by the reopening of schools and kindergartens in Beijing.

Projecting the impact of the coronavirus disease-2019 pandemic on childhood obesity in the United States: A microsimulation model

Purpose:The coronavirus disease-2019(COVID-19)pandemic in the United States led to nationwide stay-at-home orders and school closures.Declines in energy expenditure resulting from canceled physical education classes and reduced physical activity may elevate childhood obesity risk.This study estimated the impact of COVID-19 on childhood obesity.Methods:A microsimulation model simulated the trajectory of a nationally representative kindergarten cohort’s body mass index z-scores and childhood obesity prevalence from April 2020 to March 2021 under the control scenario without COVID-19 and under the 4 alternative scenarios with COVID-19—Scenario 1:2-month nationwide school closure in April and May 2020;Scenario 2:Scenario 1 followed by a 10%reduction in daily physical activity in the summer from June to August;Scenario 3:Scenario 2 followed by 2-month school closure in September and October;and Scenario 4:Scenario 3 followed by an additional 2-month school closure in November and December.Results:Relative to the control scenario without COVID-19,Scenarios 1,2,3,and 4 were associated with an increase in the mean body mass index z-scores by 0.056(95%confidence interval(95%CI):0.0550.056),0.084(95%CI:0.0840.085),0.141(95%CI:0.1400.142),and 0.198(95%CI:0.1970.199),respectively,and an increase in childhood obesity prevalence by 0.640(95%CI:0.5150.765),0.972(95%CI:0.8191.126),1.676(95%CI:1.4751.877),and 2.373(95%CI:2.1352.612)percentage points,respectively.Compared to girls and non-Hispanic whites and Asians,the impact of COVID-19 on childhood obesity was modestly larger among boys and non-Hispanic blacks and Hispanics,respectively.Conclusion:Public health interventions are urgently called to promote an active lifestyle and engagement in physical activity among children to mitigate the adverse impact of COVID-19 on unhealthy weight gains and childhood obesity.

Prediction System for Diagnosis and Detection of Coronavirus Disease-2019(COVID-19):A Fuzzy-Soft Expert System

In early December 2019,a new virus named“2019 novel coronavirus(2019-nCoV)”appeared in Wuhan,China.The disease quickly spread worldwide,resulting in the COVID-19 pandemic.In the currentwork,we will propose a novel fuzzy softmodal(i.e.,fuzzy-soft expert system)for early detection of COVID-19.Themain construction of the fuzzy-soft expert systemconsists of five portions.The exploratory study includes sixty patients(i.e.,fortymales and twenty females)with symptoms similar to COVID-19 in(Nanjing Chest Hospital,Department of Respiratory,China).The proposed fuzzy-soft expert systemdepended on five symptoms of COVID-19(i.e.,shortness of breath,sore throat,cough,fever,and age).We will use the algorithm proposed by Kong et al.to detect these patients who may suffer from COVID-19.In this way,the present system is beneficial to help the physician decide if there is any patient who has COVID-19 or not.Finally,we present the comparison between the present system and the fuzzy expert system.

Exploring the impact of coronavirus disease-2019 pandemic on malaria and identifying the strategies for the containment of twin infections

The emergence of the coronavirus disease-2019(COVID-19)outbreak and its rapid transmission in different parts of the world has become a major public health challenge.Considering the consequences of malaria in the past,it is the need of the hour that in the process of containing COVID-19,we should not ignore the strategies aimed toward the prevention and control of malaria infection.There is no point in complaining about the developments that have already happened,the best strategy will be to consider the different facets of COVID-19 infection containment as opportunities and then act accordingly.In the process of fighting against the COVID-19 infection,we have ignored the delivery of essential services pertaining to malaria.This calls for the need to revisit the planned and implemented services for COVID-19 infection and use the existing mechanism for implementing the strategies required for malaria elimination.

Skin damage due to personal protective equipment among nursing staff in a dedicated coronavirus disease-2019 hospital of tribal India

Background:Nursing staff are at much greater risk of infection(Ebola virus diseases and severe acute respiratory syndrome)due to their exposure to highly infectious bodily fluids and droplet nuclei and the need for personal protective equipment(PPE)to reduce the transmission risk.Aim:The present study was conducted to estimate the prevalence of skin injuries and their types due to PPE usage among nursing staff in tribal India.Materials and Methods:This descriptive cross-sectional study was conducted in the dedicated coronavirus disease-2019(COVID-19)hospital for a period of 4 months among 144 nursing staff wearing Grade 2 and 3 PPE kits.Study subjects were approached through social networking websites and survey questionnaires(Google forms)according to relevant guides,and research literature was used to collect the details regarding baseline,duty,and skin injury characterization.Chi-square test was used to find the association between skin injury and baseline or duty characteristics,and the association was significant at a P<0.05.Results:It was observed that 54.7%of nursing staff were working for 6 or more hours and 16.5%of subjects were wearing the PPE kit for 5 or more hours per day.Skin injury was reported by 86.3%of the subjects after using PPE.Skin injuries among nurses were statistically significant with their current place of stay and daily duty hours(P<0.05).Conclusion:In this study,it was found that 86.3%of subjects had suffered from skin injuries by using PPE while caring for COVID-19 patients during duty hours,so an effective preventive measure should be adopted.

The origin, transmission and clinical therapies on coronavirus disease 2019(COVID-19) outbreak——an update on the status

An acute respiratory disease,caused by a novel coronavirus(SARS-CoV-2,previously known as 2019-nCoV),the coronavirus disease 2019(COVID-19)has spread throughout China and received worldwide attention.On 30 January 2020,World Health Organization(WHO)officially declared the COVID-19 epidemic as a public health emergency of international concern.The emergence of SARS-CoV-2,since the severe acute respiratory syndrome coronavirus(SARSCoV)in 2002 and Middle East respiratory syndrome coronavirus(MERS-CoV)in 2012,marked the third introduction of a highly pathogenic and large-scale epidemic coronavirus into the human population in the twenty-first century.As of 1 March 2020,a total of 87,137 confirmed cases globally,79,968 confirmed in China and 7169 outside of China,with 2977 deaths(3.4%)had been reported by WHO.Meanwhile,several independent research groups have identified that SARS-CoV-2 belongs toβ-coronavirus,with highly identical genome to bat coronavirus,pointing to bat as the natural host.The novel coronavirus uses the same receptor,angiotensin-converting enzyme 2(ACE2)as that for SARS-CoV,and mainly spreads through the respiratory tract.Importantly,increasingly evidence showed sustained human-tohuman transmission,along with many exported cases across the globe.The clinical symptoms of COVID-19 patients include fever,cough,fatigue and a small population of patients appeared gastrointestinal infection symptoms.The elderly and people with underlying diseases are susceptible to infection and prone to serious outcomes,which may be associated with acute respiratory distress syndrome(ARDS)and cytokine storm.Currently,there are few specific antiviral strategies,but several potent candidates of antivirals and repurposed drugs are under urgent investigation.In this review,we summarized the latest research progress of the epidemiology,pathogenesis,and clinical characteristics of COVID-19,and discussed the current treatment and scientific advancements to combat the epidemic novel coronavirus.

Intelligent Forecasting Model of COVID-19 Novel Coronavirus Outbreak Empowered with Deep Extreme Learning Machine

An epidemic is a quick and widespread disease that threatens many lives and damages the economy.The epidemic lifetime should be accurate so that timely and remedial steps are determined.These include the closing of borders schools,suspension of community and commuting services.The forecast of an outbreak effectively is a very necessary but difficult task.A predictive model that provides the best possible forecast is a great challenge for machine learning with only a few samples of training available.This work proposes and examines a prediction model based on a deep extreme learning machine(DELM).This methodology is used to carry out an experiment based on the recent Wuhan coronavirus outbreak.An optimized prediction model that has been developed,namely DELM,is demonstrated to be able to make a prediction that is fairly best.The results show that the new methodology is useful in developing an appropriate forecast when the samples are far from abundant during the critical period of the disease.During the investigation,it is shown that the proposed approach has the highest accuracy rate of 97.59%with 70%of training,30%of test and validation.Simulation results validate the prediction effectiveness of the proposed scheme.

Clinical Characteristics of Children with Coronavirus Disease 2019 in Hubei, China

Since December 2019,COVID-19 has occurred unexpectedly and emerged as a health problem worldw ide.Despite the rapidly increasing number of cases in subsequent weeks,the clinical characteristics of pediatric cases are rarely described.A cross-sectional multicenter study was carried out in 10 hospitals across Hubei province.A total of 25 confirmed pediatric cases of COVID-19 were collected.The demographic data,epidemiological history,underlying discascs,clinical mani festations,laboratory and radiological data,treatments,and outcomes were analyzcd.Of 25 hospitalized patients with COVID-19,the boy to girl ratio was 1.27:1.The median age was 3 years.COVID-19 cases in children aged<3 years,3-6 years,and≥6-years patients were 10(40%),6(24%),and 9(36%),respectively.The most common symptoms at onset of ilness were fever(13[52%]),and dry cough(11[44%]).Chest CT images showed essential normal in 8 cases(33.3%),unilateral involvement of lungs in 5 cases(20.8%),and bilateral involvement in 11 cases(45.8%).Clinical diagnoses included upper respiratory tract infection(n=8),mild pneumonia(n=15),and critical cases(n=2).Two critical cases(8%)were given invasive mechanical ventilation,corticosteroids,and immunoglobulin.The symptoms in 24(96%)of 25 patients were alleviated and one patient had been discharged.It was concluded that children were susceptible to COVID-19 like adults,while the clinical presentations and outcomes were more favorable in children.However,children less than 3 years old accounted for majority cases and critical cases lied in this age group,which demanded extra attentions during home caring and hospitalization treatment.

Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019

To examine the feasibility of using a computer tool for stratifying the severity of Coronavirus Disease 2019(COVID-19)based on computed tomography(CT)images.We retrospectively examined 44 confirmed COVID-19 cases.All cases were evaluated separately by radiologists(visually)and through an in-house computer software.The degree of lesions was visually scored by the radiologist,as follows,for each of the 5 lung lobes:0,no lesion present;1,<1/3 involvement;2,>1/3 and<2/3 involvement;and 3,>2/3 involvement.Lesion density was assessed based on the proportion of ground-glass opacity(GGO),consolidation and fibrosis of the lesions.The parameters obtained using the computer tool included lung volume(mL),lesion volume(mL),lesion percentage(%),and mean lesion density(HU)of the whole lung,right lung,left lung,and each lobe.The scores obtained by the radiologists and quantitative results generated by the computer software were tested for correlation.A Chi-square test was used to test the consistency of radiologist-and computer-derived lesion percentage in the right/left lung,upper/lower lobe,and each of the 5 lobes.The results showed a strong to moderate correlation between lesion percentage scores obtained by radiologists and the computer software(r ranged from 0.7679 to 0.8373,P<0.05),and a moderate correlation between the proportion of GGO and mean lesion density(r=-0.5894,P<0.05),and proportion of consolidation and mean lesion density(r=0.6282,P<0.05).Computer-aided quantification showed a statistical significant higher lesion percentage for lower lobes than that assessed by the radiologists(x^2=8.160,P=0.004).Our experiments demonstrated that the computer tool could reliably and accurately assess the severity and distribution of pneumonia on CT scans.

The 2019 novel coronavirus disease(COVID-19) pandemic: A zoonotic prospective

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),a novel coronavirus(CoV),has recently emerged as a significant pathogen for humans and the cause for the recent outbreak of the 2019 novel coronavirus disease(COVID-19)throughout the globe.For developing any preventive measure,an understanding of the zoonotic pattern for this virus is a necessity.We should have a clear knowledge of its reservoir host,its distribution pattern and spreading routes.Information about zoonotic reservoirs and its transmission among them can help to understand the COVID-19 outbreaks.In this article,we discuss about the bats as the zoonotic reservoir of several CoV strains,co-existence of bats and CoV/viruses,the sequence similarity of SARS-CoV-2 with bat SARS-like CoV,the probable source of the origin of SARS-CoV-2 strain and COVID-19 outbreak,intermediate host of CoVs and SARS-CoV-2,human to human transmission and the possibility to maintain the zoonotic barriers.Our knowledge about the zoonotic reservoir of SARS-CoV-2 and its transmission ability may help develop the preventive measures and control for the future outbreak of CoV.

Zoonotic origins of human coronavirus 2019(HCoV-19/SARS-CoV-2):why is this work important?

The ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by infection with human coronavirus 2019 (HCoV-19/SARS-CoV-2/2019-nCoV), is a global threat to the human population. Here, we briefly summarize the available data for the zoonotic origins of HCoV-19, with reference to the other two epidemics of highly virulent coronaviruses, SARSCoV and MERS-CoV, which cause severe pneumonia in humans. We propose to intensify future efforts for tracing the origins of HCoV-19, which is a very important scientific question for the control and prevention of the pandemic.

Knowledge, attitude, and practice towards coronavirus disease 2019 (COVID-19) among medical students: A cross-sectional study

Objective:To assess knowledge,attitude,and practice of medical students towards coronavirus disease 2019(COVID-19).Methods:A self-designed questionnaire was developed and given to the students of a government medical college in Uttarakhand.The demographics,mean knowledge,attitude,and practice of the participants were investigated,and the scores were calculated.t-test and ANOVA were used for statistical analysis.Results:Out of the total participants(n=354),50.3%were male and 54.5%were 21-23 years.Almost all the participants(96.6%)increase the frequency of washing hands under the influence of COVID-19.Although no significant relationship was found between different religions,age-categories in terms of knowledge,the participants who were aged 21-23 years had higher knowledge.In addition,gender had a significant impact on practice scores(P<0.05)while no demographic variable was found to have a significant relation with attitude score(P>0.05).Conclusions:The majority of the participants had good knowledge,positive attitude,and sufficient practice.Females and males have significantly different practices.Although the results are very positive,it is suggested that people should continue to strengthen knowledge,attitude,and practice towards COVID-19,so that India can win the battle against the disease.

The coronavirus disease 2019 (COVID-19) pandemic: A review and an update on cases in Africa

The world has experienced several epidemics posing serious threat to global public health,including the 2002 severe acute respiratory syndrome(SARS)epidemic that caused 800 deaths out of about 8000 cases,the 2009 H1N1 pandemic with 18500 deaths,the 2012 Middle East respiratory syndrome(MERS)epidemic that caused 800 deaths out of 2500 cases,the 2014 Ebola outbreak with 28616 cases and 11310 deaths,and the current coronavirus disease(COVID-19)pandemic with more than 35000 deaths out of over 730000 confirmed cases till now.Emerging infectious diseases continue to infect and reduce human populations.The COVID-19 pandemic has spread to more than 114 countries before it was officially declared as a pandemic by the WHO on the 11th March 2020.Here,the first set of index cases inAfrica,and the differences between SARS-CoV-2 and other coronaviruses in addition to the preventive strategies on the emergence of COVID-19 were reviewed.

Electron beam irradiation on novel coronavirus(COVID-19):A Monte-Carlo simulation

The novel coronavirus pneumonia triggered by COVID-19 is now raging the whole world.As a rapid and reliable killing COVID-19 method in industry,electron beam irradiation can interact with virus molecules and destroy their activity.With the unexpected appearance and quickly spreading of the virus,it is urgently necessary to figure out the mechanism of electron beam irradiation on COVID-19.In this study,we establish a virus structure and molecule model based on the detected gene sequence of Wuhan patient,and calculate irradiated electron interaction with virus atoms via a Monte Carlo simulation that track each elastic and inelastic collision of all electrons.The characteristics of irradiation damage on COVID-19,atoms’ionizations and electron energy losses are calculated and analyzed with regions.We simulate the different situations of incident electron energy for evaluating the influence of incident energy on virus damage.It is found that under the major protecting of an envelope protein layer,the inner RNA suffers the minimal damage.The damage for a^100-nm-diameter virus molecule is not always enhanced by irradiation energy monotonicity,for COVID-19,the irradiation electron energy of the strongest energy loss damage is 2 keV.

The Chemical Mechanism of Pestilences or Coronavirus Disease 2019 (COVID-19)

In this paper, the chemical mechanism of the coronavirus disease 2019 (COVID-19) has been explored and clearly revealed.

Coronavirus disease 2019 (COVID-19) and global mental health

The mental health effects of the coronavirus disease 2019(COVID-19)pandemic may shape population health for many years to come.Failure to address the mental health issues stemming from the pandemic is likely to prolong its impact.The COVID-19 pandemic has created a significant global challenge and,in lower-income countries,even a disruption of mental health services.Given our experience with previous pandemics,the present COVID-19 crisis can be expected to cause psychological trauma,and steps are needed to address this issue proactively.Policies focusing on the long-term mental health consequences of COVID-19 may equal the importance of those currently seeking to mitigate its physical effects.The implications of the GOVID-19 pandemic for mental health call for a greater focus on the needs of those with mental disorders and on mental health issues affecting health care workers and the general public.Timely preventive and therapeutic mental health care is essential in addressing the psychosocial needs of populations exposed to the pandemic.In addition to specialist care,"task-shifting"and digital technologies may provide cost-effective means of providing mental health care in lower-income countries worldwide as well as in higher-income countries with mental health services overwhelmed by the effects of the COVID-19 pandemic.In view of the ever-increasing pressure on global health systems resulting from the COVID-19 pandemic,adopting and adapting"task-shifting",i.e.,the delegation of psychotherapeutic interventions to trained non-specialists,as an element of the provision of mental health services,is overdue.Digital technologies can be used to enhance social support and facilitate resilience to the detrimental mental health effects of the pandemic;they may also offer an efficient and cost-effective way to provide easy access to mentalhealth care.

Coronavirus disease 2019 (COVID-19) pandemic: how countries shouldbuild more resilient health systems for preparedness and response

Objective: A resilient health system plays a crucial role in pandemic preparedness and response. Althoughthe World Health Organization (WHO) has required all states parties to strengthen core capacities to respondto public health emergencies under the International Health Regulations (2005), the actions of most countriesto combating coronavirus disease 2019 (COVID-19) has showed that they are not well-prepared. This crosssectionalstudy aimed to examine the health system resilience of selected countries and analyze their strategiesand measures in response to the COVID-19 pandemic.Methods: This study selected five countries including the Iran, Japan, Republic of Korea (South Korea), the U.K.,and the U.S., based on the severity of the national epidemic, the geographical location, and the developmentlevel. Cumulative number of death cases derived from WHO COVID-19 dashboard was used to measure theseverity of the impact of the pandemic in each country;WHO State Parties Self-Assessment Annual Reporting (SPAR)Scores and Global Health Security (GHS) Index were applied to measure the national health system resilience;and research articles and press materials were summarized to identify the strategies and measures adopted bycountries during response to COVID-19. This study applied the resilient health systems framework to analyzehealth system resilience in the selected countries from five dimensions, including awareness, diversity, selfregulation,integration and adaptation.Results: The SPAR Scores and GHS Index of the four developed countries, Japan, South Korea, the U.K. and theU.S. were above the global and regional averages;the SPAR Scores of Iran were above the global average whilethe GHI Index lain below the global average. In terms of response strategies, Japan, the U.K. and the U.S. investedmore health resources in the treatment of severe patients, while South Korea and Iran had adopted a strategyof extensive testing and identification of suspected patients. In terms of specific measures, all the five countriesadopted measures such as restrictions on entry and international travel, closure of schools and industries,lockdown and quarantine. Nevertheless, the effectiveness of implementing these measures varied acrosscountries, based on the response strategies.Conclusion: Although SPAR Scores and GHS Index have evaluated the national core capacities for preparednessand response, the actions to cope with the COVID-19 pandemic has revealed the fact that most countries stilldo not build resilient health systems in response to public health emergencies. Health system strengtheningand health security efforts should be pursued in tandem, as part of the same mutually reinforcing approach todeveloping resilient health systems.

Reinfection risk of novel coronavirus(COVID-19):A systematic review of current evidence

BACKGROUND There is recently a concern regarding the reinfection and reactivation of previously reCoVered coronavirus disease 2019(CoVID-19)patients.AIM To summarize the recent findings and reports of CoVID-19 reinfection in patients previously reCoVered from the disease.METHODS This study was a systematic review of current evidence conducted in August 2020.The authors studied the probable reinfection risk of novel coronavirus(CoVID-19).We performed a systematic search using the keywords in online databases.The investigation adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)checklist to ensure the reliability and validity of this study and results.RESULTS We reviewed 31 studies.Eight studies described reCoVered patients with reinfection.Only one study reported reinfected patients who died.In 26 studies,there was no information about the status of the patients.Several studies indicated that reinfection is not probable and that post-infection immunity is at least temporary and short.CONCLUSION Based on our review,we concluded that a positive polymerase chain reaction retest could be due to several reasons and should not always be considered as reinfection or reactivation of the disease.Most relevant studies in positive retest patients have shown relative and probably temporary immunity after the reCoVery of the disease.

Expanding telemedicine to reduce the burden on the healthcare systems and poverty in Africa for a post-coronavirus disease 2019 (COVID-19) pandemic reformation

The coronavirus disease 2019(COVID-19)global public health emergency,has exposed the fragility of health systems.Access to healthcare became a scarce commodity as healthcare providers and resource-poor popula­tions became victims of the novel corona virus.Therefore,this study focuses on Africa’s readiness to integrate telemedicine into the weak health systems and its adoption may help alleviate poor healthcare and poverty after COVID-19.We conducted a narrative review through different search strategies in Scopus on January 20,2021,to identify available literature reporting implementation of various telemedicine modes in Africa from January 1,2011 to December 31,2020.We summarized 54 studies according to geographies,field,and implementation methods.The results show a willingness to adopt telemedicine in the resource-poor settings and hard-to-reach populations,which will bring relief to the inadequate healthcare systems and alleviate poverty of those who feel the burden of healthcare cost the most.With adequate government financing,telemedicine promises to enhance the treating of communicable and non-communicable diseases as well as support health infrastructure.It can also alleviate poverty among vulnerable groups and hard-to-reach communities in Africa with adequate government financing.However,given the lack of funding in Africa,the challenges in implementing telemedicine require global and national strategies before it can yield promising results.This is especially true in regards to alleviating the multidimensionality of poverty in post-COVID-19 Africa.

Buying Behavior Under Coronavirus Disease(COVID-19)Pandemic Situation:A Online Perspective Case in Bangladeshi Shoppers

Coronavirus disease(COVID-19)is an highly infectious respiratory disease caused by a newly discovered coronavirus.Most people infected by the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment;a portion of infected people may die.Under coronavirous disease pandemic situation,human normal life,movement and business has been disturbed due to lockdown and closing of shopping malls and business centers in the city.Nowadays,e-commerce is a vigorous tool for diminishing streaming business processes,cycle time,organizational costs,stay at home,maintain social distancing,protect from virus,and enlightening associations with both shoppers and business partners.The research investigated the buying behavior of Bangladeshi shoppers under coronavirus disease(COVID-19)pandemic situation in case of online perspective.The research reconnoitered the impact of five aspects:health aspect,price aspect,product aspect,trust aspect,and place aspect on online buying behavior under coronavirus disease(COVID-19)pandemic situation in Bangladesh.Data were collected through a structured questionnaire by online survey method from 155 samples which encompass online shoppers in country.Simple random sampling technique were used.Data were analyzed using factor analysis,reliability analysis,and multiple regression analysis.Findings revealed that four out of five aspects:health aspect,price aspect,product aspect,and place aspect had a positive and significant influence on online buying behavior under coronavirus disease(COVID-19)pandemic situation in the perspective of Bangladesh.The assessment generates responsiveness among online practicing companies,researchers,managers,shoppers,and prospects online buyers.Online functioning businesses could be a successful leading aspects for explaining online buying behavior under coronavirus disease(COVID-19)pandemic situation in the context of Bangladesh.