Human Mobility-based Individual-level Epidemic Simulation Platform

COVID-19 has spread worldwide, and over 140 million people have been confirmed infected, over 3 million people have died, and the numbers are still increasing dramatically. The consensus has been reached by scientists that COVID-19 can be transmitted in an airborne way, and human-to-human transmission is the primary cause of the fast spread of COVID-19. Thus, mobility should be restricted to control the epidemic, and many governments worldwide have succeeded in curbing the spread by means of control policies like city lockdowns. Against this background, we propose a novel fine-grained transmission model based on real-world human mobility data and develop a platform that helps the researcher or governors to explore the possibility of future development of the epidemic spreading and simulate the outcomes of human mobility and the epidemic state under different epidemic control policies. The proposed platform can also support users to determine potential contacts, discover regions with high infectious risks, and assess the individual infectious risk. The multi-functional platform aims at helping the users to evaluate the effectiveness of a regional lockdown policy and facilitate the process of screening and more accurately targeting the potential virus carriers. © 2022 held by the owner/author(s). Publication rights licensed to ACM.

Breaking The Chain Of Transmission Of Covid-19 By Social Distancing

INTRODUCTION: While the virus's intermediate point of origin and spread to humans is unknown, it has been shown that it is capable of rapid human-to-human transmission. The virus was primarily transmitted from person to person by physical interaction. Coughing, sneezing, and laughing cause droplets. Fever, chills, cough, sore throat, breathing difficulties, myalgia or fatigue, nausea, vomiting, and diarrhoea are common signs of COVID-19 infection. Cardiovascular damage, respiratory failure, acute respiratory distress syndrome, and even death may occur in severe situations. AIM: Breaking the chain of transmission of COVID-19 by Social Distancing MATERIAL AND METHOD: A primary research study has been done using an online questionnaire created using Google form. An observation study design has been used. The respondents were sent a survey of three questions including consent forms to participants in survey, using mail ID's and social media platforms. The material required for the review was taken from the databases of PubMed, Web of science, the from the website of World Health Organization, International diabetes federation and the patients data of SMHRC and DMMC Wanadongari Nagpur. CONCLUSION: Social distancing, Isolation, awareness, to break the chain of COVID-19, as we see them, have been of great impact to prevent the rate of transmission and the risk of new infection, but we can't deny their mental health impact as well, as they bring with them fear, panic, uncertainty and challenges about the present and the future scenario. People are getting inactive, facing the fear of getting infected, worrying about the economic lose, getting uncertain about their future plans and many more. Social distancing not only prevents the breaking the chain of transmission of COVID-19. © The Electrochemical Society

Zoonotic Coronaviruses Regeneration of Capto™ Core 700 resin through high throughput and laboratory scale studies and impact on production of a SARS-CoV-2 vaccine candidate

Summary Coronaviruses (CoVs) are important pathogens for humans and vertebrate animals. These viruses can infect the respiratory, gastrointestinal, hepatic and central nervous system of humans, livestock, birds, bats and other wild animals. The CoVs have frequently crossed species barriers and some have emerged as important human pathogens. Bats are well adapted anatomically and physiologically to CoVs. During the twenty-first century, the world has witnessed two pandemics of coronaviruses (SARSCoV and SARS-CoV-2) and fatal sporadic outbreaks due to the emerging Middle East respiratory syndrome-CoV. Most of the coronaviruses are transmitted through respiratory droplets during coughing or sneezing. Transmission through the ocular surface is also possible. Animal CoVs have been known since the late 1930s. Various diagnostic tests are available for the detection of coronaviruses infection which is mainly based on antigen detection or specific antibody detection. During the development of a SARS-CoV-2 vaccine candidate, at the height of the COVID-19 pandemic, raw materials shortages, including chromatography resins, necessitated the determination of a cleaning in place (CIP) strategy for a multimodal core-shell resin both rapidly and efficiently. Here, we describe the deployment of high throughput (HT) techniques to screen CIP conditions for cleaning Capto? Core 700 resin exposed to clarified cell culture harvest of a SARS-CoV-2 vaccine candidate produced in Vero adherent cell culture. The best performing conditions, comprised of 30% n-propanol and ≥0.75 N NaOH, were deployed in cycling experiments, completed with miniature chromatography columns, to demonstrate their effectiveness. The success of the CIP strategy was ultimately verified at the laboratory scale. Here, its impact was assessed across the entire purification process which also included an ultrafiltration/diafiltration step. It is shown that the implementation of the CIP strategy enabled the re-use of the Capto Core 700 resin for up to ten cycles without any negative impact on the purified product. Hence, the strategic combination of HT and laboratory-scale experiments can lead rapidly to robust CIP procedures, even for a challenging to clean resin, and thus help to overcome supply shortages. This article is protected by copyright. All rights reserved

Level of Health Effects among Post COVID Patients

Starting in December of 2019, COVID-19 spread worldwide. A rapid infection rate and human-To-human transmission characterize COVID-19. Although the pandemic has been under effective control, numbers of confirmed and suspected cases continue to rise. Physicians, nurses, and ambulance workers are more likely to be infected than any other group. To assess the level of health effect among post COVID patients and to find out association between the level of health effect among post COVID patients with their selected demographic variables. This study was conducted with 60 post-COVID patients in a quantitative approach, non-experimental descriptive design by purposive sampling technique. A self-structured questionnaire method was used to collect both the demographic data and the level of physiological and psychological health effects. 26.7% of them were under grade 1 health effects, 38.3% of them were of grade 2 health effects, and 35% of them had grade 3 health effects due to COVID-19. The study concluded that it is vital to formulate appropriate medical interventions to enhance physical and mental state among post-COVID patients. Mental health should be prioritized during the pandemic. Mental support should be made available and created accessible during and after the COVID-19 outbreak to lessen the ill effect on physiological health status. © (2022) Society for Biomaterials & Artificial Organs #20059122.

Clustering cases of Chlamydia psittaci pneumonia mimicking COVID-19 pneumonia.

BACKGROUND: The onset symptoms of people infected by Chlamydia psittaci can mimic the coronavirus disease 2019 (COVID-19). However, the differences in laboratory tests and imaging features between psittacosis and COVID-19 remain unknown. AIM: To better understand the two diseases and then make an early diagnosis and treatment. METHODS: Six patients from two institutions confirmed as psittacosis by high-throughput genetic testing and 31 patients confirmed as COVID-19 were retrospectively included. The epidemiology, clinical characteristics, laboratory tests and computed tomography (CT) imaging features were collected and compared between the two groups. The follow-up CT imaging findings of patients with psittacosis were also investigated. RESULTS: The white blood cell count (WBC), neutrophil count and calcium were more likely to be decreased in patients with COVID-19 but were increased in patients with psittacosis (all P = 0.000). Lymphocyte count and platelet count were higher in patients with psittacosis than in those with COVID-19 (P = 0.044, P = 0.035, respectively). Lesions in patients with psittacosis were more likely to be unilateral (P = 0.001), involve fewer lung lobes (P = 0.006) and have pleural effusions (P = 0.002). Vascular enlargement was more common in patients with COVID-19 (P = 0.003). Consolidation in lung CT images was absorbed in all 6 patients. CONCLUSION: Psittacosis has the potential for human-to-human transmission. Patients with psittacosis present increased WBC count and neutrophil count and have specific CT imaging findings, including unilateral distribution, less involvement of lung lobes and pleural effusions, which might help us to differentiate it from COVID-19.

A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data.

In this study, a mathematical model for simulating the human-to-human transmission of the novel coronavirus disease (COVID-19) is presented for Turkey's data. For this purpose, the total population is classified into eight epidemiological compartments, including the super-spreaders. The local stability and sensitivity analysis in terms of the model parameters are discussed, and the basic reproduction number, R0, is derived. The system of nonlinear ordinary differential equations is solved by using the Galerkin finite element method in the FEniCS environment. Furthermore, to guide the interested reader in reproducing the results and/or performing their own simulations, a sample solver is provided. Numerical simulations show that the proposed model is quite convenient for Turkey's data when used with appropriate parameters.

Assessing the extent of community spread caused by mink-derived SARS-CoV-2 variants.

SARS-CoV-2 has recently been found to have spread from humans to minks and then to have transmitted back to humans. However, it is unknown to what extent the human-to-human transmission caused by the variant has reached. Here, we used publicly available SARS-CoV-2 genomic sequences from both humans and minks collected in Denmark and the Netherlands, and combined phylogenetic analysis with Bayesian inference under an epidemiological model, to trace the possibility of person-to-person transmission. The results showed that at least 12.5% of all people being infected with dominated mink-derived SARS-CoV-2 variants in Denmark and the Netherlands were caused by human-to-human transmission, indicating that this "back-to-human" SARS-CoV-2 variant has already caused human-to-human transmission. Our study also indicated the need for monitoring this mink-derived and other animal source "back-to-human" SARS-CoV-2 in future and that prevention and control measures should be tailored to avoid large-scale community transmission caused by the virus jumping between animals and humans.

Population Bottlenecks and Intra-host Evolution During Human-to-Human Transmission of SARS-CoV-2.

The emergence of the novel human coronavirus, SARS-CoV-2, causes a global COVID-19 (coronavirus disease 2019) pandemic. Here, we have characterized and compared viral populations of SARS-CoV-2 among COVID-19 patients within and across households. Our work showed an active viral replication activity in the human respiratory tract and the co-existence of genetically distinct viruses within the same host. The inter-host comparison among viral populations further revealed a narrow transmission bottleneck between patients from the same households, suggesting a dominated role of stochastic dynamics in both inter-host and intra-host evolutions.

Geographical and Epidemiological Characteristics of 3,487 Confirmed Cases With COVID-19 Among Healthcare Workers in China.

As the first area to report the outbreak, China used to be the front line of the battle against the novel coronavirus SARS-CoV-2. The present descriptive analysis of 3,487 COVID-19-confirmed cases with health workers reported through April 30, 2020 offers important new information to the international community on the epidemic in China. These data showed that Chinese measures including the high-grade protective gear used, mask wearing, and social distancing, are effective in reducing transmission in hospitals.

Hantavirus: The Next Pandemic We Are Waiting For?

Hantaviruses, albeit reported more than 40 years ago, are now considered emerging viruses' because of their growing importance as human pathogens. Hantavirus created focal news when the paradoxical spread was reported during the world's pandemic battle of the COVID-19, killing a man in Yunnan province of China, further jeopardizing the existing of the human race on the planet earth. In recent years an increasing number of infections and human-to-human transmission is creating a distressing situation. In this short communication, we have focused on the biology, pathogenesis, immunology, epidemiology and future perspective of the Hantaviruses. Our understandings of hantavirus related pandemics and syndrome are limited, the contributing environmental factors, the cellular and viral dynamics in transmission from natural reservoirs to humans and finally, the virology in humans is quite intricate. Priorities for future research suggest that setting up scientific collaboration, the funding, and encouragement of health ministries and the research institutes should take admirable steps to build an understanding of this virus. Discovering new drugs or other therapeutic molecules such as vaccines takes a longer time. Thus with the recent artificial intelligence (AI) technology, the rifle for impending new medicines should be hastened. Last but not least, a data-sharing platform should be provided where all the researchers should share and make available all the necessary information such as genomics, proteomics, host-factors, and other epigenetics information, which will encourage the research collaboration in the preparation against the Hantaviruses.

Controlling emerging zoonoses at the animal-human interface.

BACKGROUND: For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (via zoonotic spillover from animal reservoirs or geographic spillover from endemic regions) and secondary human-to-human transmission. Interventions aiming to reduce incidence of these infections can be focused on preventing spillover or reducing human-to-human transmission, or sometimes both at once, and typically are governed by resource constraints that require policymakers to make choices. Despite increasing emphasis on using mathematical models to inform disease control policies, little attention has been paid to guiding rational disease control at the animal-human interface. METHODS: We introduce a modeling framework to analyze the impacts of different disease control policies, focusing on pathogens exhibiting subcritical transmission among humans (i.e. pathogens that cannot establish sustained human-to-human transmission). We quantify the relative effectiveness of measures to reduce spillover (e.g. reducing contact with animal hosts), human-to-human transmission (e.g. case isolation), or both at once (e.g. vaccination), across a range of epidemiological contexts. RESULTS: We provide guidelines for choosing which mode of control to prioritize in different epidemiological scenarios and considering different levels of resource and relative costs. We contextualize our analysis with current zoonotic pathogens and other subcritical pathogens, such as post-elimination measles, and control policies that have been applied. CONCLUSIONS: Our work provides a model-based, theoretical foundation to understand and guide policy for subcritical zoonoses, integrating across disciplinary and species boundaries in a manner consistent with One Health principles.

Gastrointestinal Symptoms Onset in COVID-19 Patients in Wuhan, China.

BACKGROUND: Early detection is critical in limiting the spread of 2019 novel coronavirus (COVID-19). Although previous data revealed characteristics of GI symptoms in COVID-19, for patients with only GI symptoms onset, their diagnostic process and potential transmission risk are still unclear. METHODS: We retrospectively reviewed 205 COVID-19 cases from January 16 to March 30, 2020, in Renmin Hospital of Wuhan University. All patients were confirmed by virus nuclei acid tests. The clinical features and laboratory and chest tomographic (CT) data were recorded and analyzed. RESULTS: A total of 171 patients with classic symptoms (group A) and 34 patients with only GI symptoms (group B) were included. In patients with classical COVID-19 symptoms, GI symptoms occurred more frequently in severe cases compared to non-severe cases (20/43 vs. 91/128, respectively, p < 0.05). In group B, 91.2% (31/34) patients were non-severe, while 73.5% (25/34) patients had obvious infiltrates in their first CT scans. Compared to group A, group B patients had a prolonged time to clinic services (5.0 days vs. 2.6 days, p < 0.01) and a longer time to a positive viral swab normalized to the time of admission (6.9 days vs. 3.3 days, respectively, p < 0.01). Two patients in group B had family clusters of SARS-CoV-2 infection. CONCLUSION: Patients with only GI symptoms of COVID-19 may take a longer time to present to healthcare services and receive a confirmed diagnosis. In areas where infection is rampant, physicians must remain vigilant of patients presenting with acute gastrointestinal symptoms and should do appropriate personal protective equipment.

Clinical Features and Short-term Outcomes of 102 Patients with Coronavirus Disease 2019 in Wuhan, China.

BACKGROUND: In December 2019, a series of pneumonia cases of unknown cause emerged in Wuhan, Hubei, China. In this study, we investigate the clinical and laboratory features and short-term outcomes of patients with coronavirus disease 2019 (COVID-19). METHODS: All patients with COVID-19 admitted to Wuhan University Zhongnan Hospital in Wuhan, China, between 3 January and 1 February 2020 were included. All those patients were with laboratory-confirmed infections. Epidemiological, clinical, and radiological characteristics; underlying diseases; laboratory tests; treatments; complications; and outcomes data were collected. Outcomes were followed up at discharge until 15 February 2020. RESULTS: The study cohort included 102 adult patients. The median age was 54 years (interquartile ranger, 37-67 years), and 48.0% were female. A total of 34 patients (33.3%) were exposed to a source of transmission in the hospital setting (as health-care workers, patients, or visitors) and 10 patients (9.8%) had a familial cluster. There were 18 patients (17.6%) who were admitted to the intensive care unit (ICU), and 17 patients died (mortality, 16.7%; 95% confidence interval, 9.4-23.9%). Those patients who survived were younger, were more likely to be health-care workers, and were less likely to suffer from comorbidities. They were also less likely to suffer from complications. There was no difference in drug treatment rates between the survival and nonsurvival groups. Those patients who survived were less likely to require admission to the ICU (14.1% vs 35.3% of those admitted). Chest imaging examinations showed that patients who died were more likely to have ground-glass opacity (41.2% vs 12.9% in survivors). CONCLUSIONS: The mortality rate was high among the COVID-19 patients described in our cohort who met our criteria for inclusion in this analysis. The patient characteristics seen more frequently in those who died were the development of systemic complications following onset of the illness and a severity of disease requiring admission to the ICU. Our data support those described by others indicating that COVID-19 infection results from human-to-human transmission, including familial clustering of cases, and from nosocomial transmission. There were no differences in mortality among those who did or did not receive antimicrobial or glucocorticoid drug treatments.

Epidemic characteristics of the COVID-19 outbreak in Tianjin, a well-developed city in China.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is already a pandemic. Few studies investigated the epidemic characteristics of the COVID-19 outbreak in the well-developed cities. METHODS: Epidemiological data of 136 confirmed COVID-19 cases were collected from the dataset of COVID-19 in Tianjin. All confirmed cases were categorized according to their potential infection sources. Daily numbers of confirmed cases of each category were plotted by date of onset, and the epidemic form of each category was inferred. RESULTS: Among the 136 confirmed COVID-19 cases, 48 cases were categorized as imported cases and their close contacts, which were the majority of early cases. A total of 43 cases were found an epidemiological link to the Baodi department store, and they were inferred to be a common-source outbreak. Additionally, 35 cases were considered as familial clusters of COVID-19 cases, and 10 cases were sporadic. The 45 cases were inferred to be a propagated epidemic. CONCLUSIONS: Local transmission of COVID-19 mainly occurred within families and a poorly ventilated public place in Tianjin. Besides the imported cases, the pattern of local transmission of COVID-19 was a mixture of the propagated epidemic and the common-source outbreak in Tianjin.

Decoding the evolution and transmissions of the novel pneumonia coronavirus (SARS-CoV-2 / HCoV-19) using whole genomic data.

The outbreak of COVID-19 started in mid-December 2019 in Wuhan, China. Up to 29 February 2020, SARS-CoV-2 (HCoV-19 / 2019-nCoV) had infected more than 85 000 people in the world. In this study, we used 93 complete genomes of SARS-CoV-2 from the GISAID EpiFlu TM database to investigate the evolution and human-to-human transmissions of SARS-CoV-2 in the first two months of the outbreak. We constructed haplotypes of the SARS-CoV-2 genomes, performed phylogenomic analyses and estimated the potential population size changes of the virus. The date of population expansion was calculated based on the expansion parameter tau ( τ) using the formula t= τ/2 u. A total of 120 substitution sites with 119 codons, including 79 non-synonymous and 40 synonymous substitutions, were found in eight coding-regions in the SARS-CoV-2 genomes. Forty non-synonymous substitutions are potentially associated with virus adaptation. No combinations were detected. The 58 haplotypes (31 found in samples from China and 31 from outside China) were identified in 93 viral genomes under study and could be classified into five groups. By applying the reported bat coronavirus genome (bat-RaTG13-CoV) as the outgroup, we found that haplotypes H13 and H38 might be considered as ancestral haplotypes, and later H1 was derived from the intermediate haplotype H3. The population size of the SARS-CoV-2 was estimated to have undergone a recent expansion on 06 January 2020, and an early expansion on 08 December 2019. Furthermore, phyloepidemiologic approaches have recovered specific directions of human-to-human transmissions and the potential sources for international infected cases.

Epidemiologic and Clinical Characteristics of 26 Cases of COVID-19 Arising from Patient-to-Patient Transmission in Liaocheng, China.

INTRODUCTION: Over 40,000 cases of coronavirus (CoV) disease 2019 (COVID-19) have been confirmed in China. The causative agent, 2019 novel CoV (2019-nCoV), has spread rapidly to more than 25 countries worldwide. Human-to-human transmission has accounted for most of the infections outside Wuhan. Most studies to date on COVID-19 have focused on disease etiology and the genomics of 2019-nCoV, with few reports on the epidemiologic and clinical characteristics of infected patients. METHODS: We report early clinical features of 26 patients with confirmed COVID-19 who were admitted to Liaocheng Infectious Disease Hospital in Shandong Province. RESULTS: The median age of the 26 patients with COVID-19 in this study was 42 years. The most common occupation was retail staff (16 patients, 61.54%), with 11 patients or their family members working at the same supermarket. Only 2 patients had visited Wuhan since December 2019; the other cases of 2019-nCoV infection arose from patient-to-patient transmission. Twelve patients had more than one sign or symptom; however, seven patients had no sign or symptom. The average time from symptom onset to admission was 4.5 days. CT revealed signs of bronchitis in 2 patients and unilateral and bilateral pneumonia in 9 and 15 patients, respectively. The patients received the following treatments: antiviral therapy (100%), Chinese medicine (76.92%), antibiotics (50%), gastric mucosal protection (19.23%), immunotherapy (7.69%), and glucocorticoids (3.85%). Most patients (25/26) required ≥1 treatment. DISCUSSION: In contrast to previous reports, most patients (24/26) had not been in close contact with individuals from Wuhan. Additionally, 11 patients or their family members worked at the same supermarket, suggesting active viral transmission in a location frequented by a large number of people. Close monitoring is essential for preventing the large-scale spread of the virus in such places.

Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus.

Recently, a novel coronavirus (2019-nCoV) has emerged from Wuhan, China, causing symptoms in humans similar to those caused by severe acute respiratory syndrome coronavirus (SARS-CoV). Since the SARS-CoV outbreak in 2002, extensive structural analyses have revealed key atomic-level interactions between the SARS-CoV spike protein receptor-binding domain (RBD) and its host receptor angiotensin-converting enzyme 2 (ACE2), which regulate both the cross-species and human-to-human transmissions of SARS-CoV. Here, we analyzed the potential receptor usage by 2019-nCoV, based on the rich knowledge about SARS-CoV and the newly released sequence of 2019-nCoV. First, the sequence of 2019-nCoV RBD, including its receptor-binding motif (RBM) that directly contacts ACE2, is similar to that of SARS-CoV, strongly suggesting that 2019-nCoV uses ACE2 as its receptor. Second, several critical residues in 2019-nCoV RBM (particularly Gln493) provide favorable interactions with human ACE2, consistent with 2019-nCoV's capacity for human cell infection. Third, several other critical residues in 2019-nCoV RBM (particularly Asn501) are compatible with, but not ideal for, binding human ACE2, suggesting that 2019-nCoV has acquired some capacity for human-to-human transmission. Last, while phylogenetic analysis indicates a bat origin of 2019-nCoV, 2019-nCoV also potentially recognizes ACE2 from a diversity of animal species (except mice and rats), implicating these animal species as possible intermediate hosts or animal models for 2019-nCoV infections. These analyses provide insights into the receptor usage, cell entry, host cell infectivity and animal origin of 2019-nCoV and may help epidemic surveillance and preventive measures against 2019-nCoV.IMPORTANCE The recent emergence of Wuhan coronavirus (2019-nCoV) puts the world on alert. 2019-nCoV is reminiscent of the SARS-CoV outbreak in 2002 to 2003. Our decade-long structural studies on the receptor recognition by SARS-CoV have identified key interactions between SARS-CoV spike protein and its host receptor angiotensin-converting enzyme 2 (ACE2), which regulate both the cross-species and human-to-human transmissions of SARS-CoV. One of the goals of SARS-CoV research was to build an atomic-level iterative framework of virus-receptor interactions to facilitate epidemic surveillance, predict species-specific receptor usage, and identify potential animal hosts and animal models of viruses. Based on the sequence of 2019-nCoV spike protein, we apply this predictive framework to provide novel insights into the receptor usage and likely host range of 2019-nCoV. This study provides a robust test of this reiterative framework, providing the basic, translational, and public health research communities with predictive insights that may help study and battle this novel 2019-nCoV.

The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China.

The 2019-nCoV is officially called SARS-CoV-2 and the disease is named COVID-19. This viral epidemic in China has led to the deaths of over 1800 people, mostly elderly or those with an underlying chronic disease or immunosuppressed state. This is the third serious Coronavirus outbreak in less than 20 years, following SARS in 2002-2003 and MERS in 2012. While human strains of Coronavirus are associated with about 15% of cases of the common cold, the SARS-CoV-2 may present with varying degrees of severity, from flu-like symptoms to death. It is currently believed that this deadly Coronavirus strain originated from wild animals at the Huanan market in Wuhan, a city in Hubei province. Bats, snakes and pangolins have been cited as potential carriers based on the sequence homology of CoV isolated from these animals and the viral nucleic acids of the virus isolated from SARS-CoV-2 infected patients. Extreme quarantine measures, including sealing off large cities, closing borders and confining people to their homes, were instituted in January 2020 to prevent spread of the virus, but by that time much of the damage had been done, as human-human transmission became evident. While these quarantine measures are necessary and have prevented a historical disaster along the lines of the Spanish flu, earlier recognition and earlier implementation of quarantine measures may have been even more effective. Lessons learned from SARS resulted in faster determination of the nucleic acid sequence and a more robust quarantine strategy. However, it is clear that finding an effective antiviral and developing a vaccine are still significant challenges. The costs of the epidemic are not limited to medical aspects, as the virus has led to significant sociological, psychological and economic effects globally. Unfortunately, emergence of SARS-CoV-2 has led to numerous reports of Asians being subjected to racist behavior and hate crimes across the world.

Unveiling the Origin and Transmission of 2019-nCoV.

A novel coronavirus has caused thousands of human infections in China since December 2019, raising a global public health concern. Recent studies (Huang et al., Chan et al., and Zhou et al.) have provided timely insights into its origin and ability to spread among humans, informing infection prevention and control practices.