The evolution of consumers' demand for hotels under the public health crisis: opinion mining from online reviews

This research aims to grasp the evolution of consumer demand and improve the resilience of the hotel industry under the public health crisis (COVID-19). Online reviews of 7,679 hotels in 10 cities were collected from Ctrip, China's major online hotel platform. Then, we applied opinion mining and time evolution to mine the change in consumer demand before, during, and after the COVID-19 pandemic. Findings show that some consumer demands (e.g. epidemic safety) will change during the outbreak period. However, during the nonoutbreak period, users were more concerned about their own check-in experience (e.g. hotel facilities, front desk services). This article provides new ideas for identifying the dynamic value of online reviews. We suggest that businesses focus on ensuring hotel safety during the crisis period. The results contribute essential theoretical and practical significance to the hotel industry's crisis management during public health crises.

Scaling law of COVID-19 cases and city size and its evolution over time

Urban scaling law quantifies the disproportional growth of urban indicators with urban population size, which is one of the simple rules behind the complex urban system. Infectious diseases are closely related to social interactions that intensify in large cities, resulting in a faster speed of transmission in large cities. However, how this scaling relationship varies in an evolving pandemic is rarely investigated and remains unclear. Here, taking the COVID- 19 epidemic in the United States as an example, we collected daily added cases and deaths from January 2020 to June 2022 in more than three thousand counties to explore the scaling law of COVID- 19 cases and city size and its evolution over time. Results show that COVID- 19 cases super- linearly scaled with population size, which means cases increased faster than population size from a small city to a large city, resulting in a higher morbidity rate of COVID- 19 in large cities. Temporally, the scaling exponent that reflects the scaling relationship stabilized at around 1.25 after a fast increase from less than one. The scaling exponent gradually decreased until it was close to one. In comparison, deaths caused by the epidemic did not show a super-linear scaling relationship with population size, which revealed that the fatality rate of COVID-19 in large cities was not higher than that in small or medium-sized cities. The scaling exponent of COVID- 19 deaths shared a similar trend with that of COVID- 19 cases but with a lag in time. We further estimated scaling exponents in each wave of the epidemic, respectively, which experienced the common evolution process of first rising, then stabilizing, and then decreasing. We also analyzed the evolution of scaling exponents over time from regional and provincial perspectives. The northeast, where New York State is located, had the highest scaling exponent, and the scaling exponent of COVID- 19 deaths was higher than that of COVID-19 cases, which indicates that large cities in this region were more prominently affected by the epidemic. This study reveals the size effect of infectious diseases based on the urban scaling law, and the evolution process of scaling exponents over time also promotes the understanding of the urban scaling law. The mechanism behind temporal variations of scaling exponents is worthy of further exploration. © 2023 Science Press. All rights reserved.

Transforming India's Agrarian Society in a Post-COVID World: Prospects and Challenges

The need for change in India's agrarian sector came into sharp focus with the COVID-19 pandemic. This paper traces the imperatives that have shaped the trajectory of the development of the rural economy in post-independence India including the social, cultural and political matrix within which the processes and activities of the rural economy are carried out. It also explores the possibilities of social, cultural and political change based on a perspective that seeks to reconcile the imperatives of unity and social justice with a practical reading of the ground reality in India's villages. The paper suggests reform in social, cultural and political structures and practices at the village level along with economic prescriptions such as increasing the marketability of agricultural produce and creating jobs in the manufacturing sector to absorb workers displaced from the agricultural sector. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

IDENTIFICATION OF FACTORS ASSOCIATED WITH A WORSE OUTCOME -EXITUS- IN PATIENTS WITH RHEUMATOID ARTHRITIS AND SEVERE INFECTION

BackgroundInfections constitute an important and frequent cause of morbidity and mortality in patients with chronic inflammatory and systemic autoimmune rheumatic diseases. In rheumatoid arthritis (RA), this increased risk has been related to the immune system alterations inherent to the disease, the drugs used to control it (corticosteroids, DMARDs and immunosuppressants) and associated comorbidities. Most studies focus on the search for factors associated with the development of infections but do not explore the worst outcome: patient failure.ObjectivesTo identify factors that help to predict an unfavorable outcome (exitus) after a severe infection in patients with rheumatoid arthritis.MethodsThis study was a retrospective case-control study at a single institution over a 10-year period. Patients with a diagnosis of rheumatoid arthritis with hospital admission for infection from January 1, 2010, to December 31, 2019 (pre-pandemic SARS-COV-2) were selected. The main variable was exitus due to the infectious episode. We collected: age, sex, time of evolution of RA, previous treatment and at the time of admission, number of admissions for infection, location of the infection, comorbidities, and other associated serious diseases. The statistics included a descriptive analysis of the different variables (expressed as median and interquartile range -IR- for quantitative variables and percentages for qualitative variables), and the association study using the χ2 test or Fisher's exact test for qualitative variables, and t-student or Mann-Whitney U and Kruskal Wallis for quantitative variables.ResultsWe obtained 152 patients (71.7% female, 28.3% male), with a total of 214 episodes of admission for infection (115 patients with 1 episode (75.7%), 25 (16.4%) with 2 episodes, 6 being the maximum number of episodes recorded). The median age at admission was 77 years, and the median time of RA evolution was 8 years (IR 4-16). The location of the infection responsible for admission was mainly respiratory and urinary. Forty-eight patients died in the episode (31.6% of the sample, 15 males and 33 females, median age 81.5 years (IR 69.5-86.5)). Comparing the patients with unfavorable outcomes (exitus) with the rest, we only found a statistically significant difference in the number of previous admissions (p=0.011), and in the coexistence of some other serious disease (exitus 85.4%, rest 61.5% p=0.003). There were no differences by sex, age, time of RA evolution, drugs, location of the infection, or comorbidities.ConclusionA history of hospital admission due to infection, and having another serious disease, are factors associated with an unfavorable outcome (exitus) in patients with RA admitted for an infectious process.References[1] Listing J, Gerhold K, Zink A. The risk of infections associated with rheumatoid arthritis, with its comorbidity and treatment. Rheumatology 2013;52(1):53-61.[2] George MD, Baker JF, Winthrop K, Hsu JY, Wu Q, Chen L, et al. Risk for serious infection with low-dose glucocorticoids in patients with Rheumatoid Arthritis: A cohort study. Ann Intern Med. 2020;173(11):870-8.[3] Singh JA, Cameron C, Noorbaloochi S, Cullis T, Tucker M, Christensen R, et al. Risk of serious infection in biological treatment of patients with rheumatoid arthritis: A systematic review and meta-analysis. The Lancet. 2015;386(9990):258-65.Acknowledgements:NIL.Disclosure of InterestsNone Declared.

SARS-CoV-2 Vaccine Against Virus: Mission Accomplished!?

Since the beginning of the COVID-19 pandemic in late 2019, SARS-CoV-2 has started to optimize itself. After crossing the species barrier between bats and humans, it has developed mutations in the viral spike protein, in particular at positions 69/70, 452, 501, 614, and 681, that enhance binding to the ACE-2 receptor and entry into host cells, thereby promoting viral transmissibility and pathogenesis. Mutations at positions 417 and 484 have begun to undermine the effectiveness of convalescent plasma, monoclonal antibodies, and currently available vaccines. The targeted and convergent evolution of SARS-CoV-2, which occurred despite the proofreading activity of the exonuclease, has resulted so far in five variants of concern, which have replaced previous strains. This calls for a worldwide surveillance of viral evolution including animal transmission and the development of vaccines responding to escape variants and inducing mucosal immunity. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Development and application of a multiplex fluorescent quantitative RT-PCR for detection of Porcine epidemic diarrhea virus, porcine coronavirus and porcine acute diarrhea syndrome coronavirus

To develop a multiplex fluorescent quantitative RT-PCR for the detection of porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV) and swine acute diarrhea syndrome coronavirus (SADS-CoV), in this study, specific primers/probes were designed based on the conserved regions of M, M and N gene sequences of PEDV, PDCoV and SADS-CoV, respectively. After optimization of the reaction conditions, a multiplex fluorescent quantitative RT-PCR for PEDV, PDCoV and SADS-CoV was established. The results of specificity assay showed that the method was positive for detection of PEDV, PDCoV and SADS-CoV, and negative for detection of porcine transmissible gastroenteritis virus, porcine rotavirus, porcine reproductive and respiratory syndrome virus, porcine pseudorabies virus, porcine circovirus type 2, porcine parvovirus, classical swine fever virus and foot-and-mouth disease virus. The results of sensitivity assay showed that the detection limit of this method for PEDV, PDCoV, and SADS-CoV plasmids standard was 1.0x101 copies/L, and had a good linear relationship with their Ct values in the range of 101 copies/L to 106 copies/L. The results of repeatability assay showed that the coefficients of variation (CVs) of intra- and inter-assay reproducibility ranged from 0.33% to 2.53%, indicating good repeatability and stability. To evaluate the effects of the developed method, 100 clinical samples collected from different parts of Henan province were used for detection of these three viruses and compared with those of single RT-PCR and standard methods. The results of multiplex fluorescent quantitative RT-PCR showed that the positive rates of PEDV, PDCoV and SADS-CoV were 38% (38/100), 14% (14/100) and 5% (5/100), respectively. There was no mixed infection. The coincidence rate with the standard detection methods of PEDV and PDCoV was 100%, and the sensitivity was higher than that of single RT-PCR. In this study, a specific, sensitive and rapid multiplex fluorescent quantitative RTPCR method was established for the first time, which could be used for the differential detection of PEDV, PDCoV and SADS-CoV, and laid a foundation for the differential diagnosis and control of porcine diarrheal diseases.

Coronavirus XBB.1.5 as an Indicator of the Long-Term Continuation of the Covid-19 pandemic. What Next for Vaccination?

The article discusses the properties of the pandemic strain XBB.1.5 S protein in comparison with the 1918 and 2009 pandemic strains hemagglutinin H1. The S-protein XBB.1.5 already contains more than 40 mutations realized by substituting different amino acids through single and dinucleotide substitutions, deletions and the use of predominantly transversions. The variability of H1N1 influenza virus hemagglutinin is associated with single nucleotide substitutions at a constant length. Conditional extrapolation of influenza virus hemagglutinin variability data on coronavirus S-protein sizes suggests that new pandemic strains will emerge in the next 2-3 years, avoiding the immune defense formed by vaccination against the strains preceding them. The inability to create through the adaptive immune system a long-term immunity to pandemic coronaviruses, as well as to other respiratory viruses with a short incubation cycle, puts on the agenda the need to find new vaccine designs that provide a combination of long-term adaptive and trained immunity. The problem in the search for such vaccines is associated with the regulation of the activity of the innate immune system and ensuring the stability of trained immunity. © 2023, Numikom. All rights reserved.

IMPACT of the PANDEMIC on FINTECH ADOPTION by DEVELOPING COUNTRIES

This article initially analyzed how FinTech has developed, how it is divided into stages and how it is being used. Then the impact of the COVID-19 pandemic on digital finance and fintech adoption is examined, and eventually it is found that worldwide mobile financial app downloads have increased during Covid-19 and that many businesses have begun to make extensive use of financial technologies. We will also look at the various advantages and disadvantages of FinTech. © 2022 ACM.

Spatio-Temporal Evolution and Driving Factors of "Non-Grain Production” in Hubei Province Based on a Non-Grain Index

Non-grain production (NGP) on cultivated land has become a common phenomenon due to the prosperity of the rural economy and the optimisation of the agricultural structure. However, the excessive use of cultivating land for NGP has threatened food production and the sustainable use of cultivated land. To halt this trend and to ensure food security, the authors of this paper applied a novel non-grain index to measure NGP, which could reflect multiple NGP activities;designated Hubei Province as its object of research;and revealed NGP's spatio-temporal patterns of the past 30 years. We then assessed the characteristics of NGP based on spatial autocorrelation analysis, the Theil index, and geographically weighted regression. The results showed that the value of the non-grain index grew from 0.497 to 1.113 as NGP increased significantly in Hubei Province. The number of high-NGP counties increased, spatial agglomeration became obvious, and the eastern and western sides of Hubei Province witnessed an observable growth in NGP. As a result, the NGP in the eastern and western regions overtook production in the central region. Despite a series of historical subsidy policies and agricultural modernisation initiatives that promoted the planting of grain crops, the policy of "grain on valuable cultivated land” could be better implemented. We conclude by making some suggestions for reducing NGP and protecting cultivated land.

Natural Evolution of Porcine Epidemic Diarrhea Viruses Isolated from Maternally Immunized Piglets

Simple SummaryDuring the long-term co-evolution of the virus and the host, even closely related vaccines may emerge with incomplete protective immunity due to the mutations or deletions of amino acids at specific antigenic sites. The mutation of PEDV was accelerated by the recombination of different strains and the mutation of the strains adapting to the environment. These mutations either cause immune escape from conventional vaccines or affect the virulence of the virus. Therefore, researching and developing new vaccines with cross-protection through continuous monitoring, isolation and sequencing are important to determine whether their genetic characteristics are changed and to evaluate the protective efficacy of current vaccines. The porcine epidemic diarrhea virus (PEDV) can cause severe piglet diarrhea or death in some herds. Genetic recombination and mutation facilitate the continuous evolution of the virus (PEDV), posing a great challenge for the prevention and control of porcine epidemic diarrhea (PED). Disease materials of piglets with PEDV vaccination failure in some areas of Shanxi, Henan and Hebei provinces of China were collected and examined to understand the prevalence and evolutionary characteristics of PEDV in these areas. Forty-seven suspicious disease materials from different litters on different farms were tested by multiplex PCR and screened by hematoxylin-eosin staining and immunohistochemistry. PEDV showed a positivity rate of 42.6%, infecting the small and large intestine and mesenteric lymph node tissues. The isolated strains infected Vero, PK-15 and Marc-145 multihost cells and exhibited low viral titers in all three cell types, as indicated by their growth kinetic curves. Possible putative recombination events in the isolates were identified by RDP4.0 software. Sequencing and phylogenetic analysis showed that compared with the classical vaccine strain, PEDV SX6 contains new insertion and mutations in the S region and belongs to genotype GIIa. Meanwhile, ORF3 has the complete amino acid sequence with aa80 mutated wild strains, compared to vaccine strains CV777, AJ1102, AJ1102-R and LW/L. These results will contribute to the development of new PEDV vaccines based on prevalent wild strains for the prevention and control of PED in China.

Modeling the influence of the information domain on countermeasure effectiveness in case of COVID-19

A common way to model an epidemic — restricted to contagion aspects only — is a modification of the Kermack-McKendrick SIR Epidemic model (SIR model) with differential equations. (Mis-)Information about epidemics may influence the behavior of the people and thus the course of epidemics as well. We have thus coupled an extended SIR model of the COVID-19 pandemic with a compartment model of the (mis-)information-based attitude of the population towards epidemic countermeasures. The resulting combined model is checked concerning basic plausibility properties like positivity and boundedness. It is calibrated using COVID-19 data from RKI and attitude data provided by the COVID-19 Snapshot Monitoring (COSMO) study. The values of parameters without corresponding observation data have been determined using an L2-fit under mild additional assumptions. The predictions of the calibrated model are essentially in accordance with observations. An uncertainty analysis of the model shows, that our results are in principle stable under measurement errors. We also assessed the scale, at which specific parameters can influence the evolution of epidemics. Another result of the paper is that in a multi-domain epidemic model, the notion of controlled reproduction number has to be redefined when being used as an indicator of the future evolution of epidemics.

Communities in Transitions: Reflection on the Impact of the Outbreak of COVID-19 on Urban China

"Community”, as a basic category of urban socio-space, has undergone evolution within academic, policy, and day-to-day life contexts in China. Through years of transitions, a kind of dual community emerged in Chinese cities before the epidemic. It encompassed a "conceptual community” based on the concept of (social) co-governance and an "experiential community” based on citizens' daily living. The disparity between the two had given rise to a paradoxical situation in local community governance practices. The outbreak of COVID-19 brought fundamental changes to the transition process. Through the analysis of 21 recording reports during the outbreak period, we found that to contain the pandemic, the community epidemic prevention measures necessitated both these communities to overlap within a brief time frame. This led to reinforced community boundaries, the coexistence of multiple actors, the reconstruction of a sense of security-based belongingness, and the reformulation of the governance symbolic system that temporarily resolved the paradoxical governance practices. What happened under the preface of co-governance logic during the outbreak period was the coverage and shaping of the conceptual community over the experiential community, which may continue during the post-epidemic era. This study offers a relatively new approach and valuable insights into examining the long-lasting impact of the epidemic on urban social space and sustainable development in the post-epidemic era.

Evolution of oilseed sector in Romania - an analysis from the perspective of effects produced by the COVID-19 pandemic

Romania ranks first in the European Union for the production of sunflower seeds, third for the production of soybeans and seventh for the production of rapeseed. The paper aims to analyse the effects produced by the COVID-19 pandemic on the evolution of the oilseed sector in Romania. Thus, the following indicators were analysed: evolution of areas under oilseeds, total oilseed production and average yields, as well as the volatility of selling prices for oilseeds. The results of the study reveal that Romania has been the largest producer of sunflower seeds in the European Union. The average yields in sunflower, soybeans and rapeseed have shown great variations in the analysed period. According to Eurostat data, it can be noticed that although Romania is the third large producer of oilseeds in the EU, the average yields continue to be low compared to those from other large EU producers. Yields are also among the most volatile in the EU. The selling prices for soybeans showed a higher increase in the year 2020 than in 2019 in Romania, compared to the increase in the average selling prices of the EU-27 (+9.89%). The selling prices for rapeseed also had a higher increase in 2020 than in 2019 in Romania, compared to the increase in the average selling prices of the EU-27 (+2.31%).

Insights into the Epidemiology, Phylodynamics, and Evolutionary Changes of Lineage GI-7 Infectious Bronchitis Virus

Infectious bronchitis virus (IBV) is distributed worldwide and causes significant losses in the poultry industry. In recent decades, lineages GI-19 and GI-7 have become the most prevalent IBV strains in China. However, the molecular evolution and phylodynamics of the lineage GI-7 IBV strains remain largely unknown. In this study, we identified 19 IBV strains from clinical samples from January 2021 to June 2022 in China, including 12 strains of GI-19, 3 strains of GI-7, and 1 strain each of GI-1, GI-9, GI-13, and GI-28. These results indicated that lineages GI-19 and GI-7 IBVs are still the most prevalent IBVs in China. Here, we investigated the evolution and transmission dynamics of lineage GI-7 IBVs. Our results revealed that the Taiwan province might be the origin of lineage GI-7 IBVs and that South China plays an important role in the spread of IBV. Furthermore, we found low codon usage bias of the S1 gene in lineage GI-7 IBVs. This allowed IBV to replicate in the host during evolution as a result of reduced competition, mainly driven by natural selection and mutational pressure, where the role of natural selection is more prominent. Collectively, our results reveal the genetic diversity and evolutionary dynamics of lineage GI-7 IBVs, which could assist in the prevention and control of viral infection.

Key Aspects of Coronavirus Avian Infectious Bronchitis Virus.

Infectious bronchitis virus (IBV) is an enveloped and positive-sense single-stranded RNA virus. IBV was the first coronavirus to be discovered and predominantly causes respiratory disease in commercial poultry worldwide. This review summarizes several important aspects of IBV, including epidemiology, genetic diversity, antigenic diversity, and multiple system disease caused by IBV as well as vaccination and antiviral strategies. Understanding these areas will provide insight into the mechanism of pathogenicity and immunoprotection of IBV and may improve prevention and control strategies for the disease.

Supply Chain Risk Diffusion in Partially Mapping Double-Layer Hypernetworks.

The impact of COVID-19 is global, and uncertain information will affect product quality and worker efficiency in the complex supply chain network, thus bringing risks. Aiming at individual heterogeneity, a partial mapping double-layer hypernetwork model is constructed to study the supply chain risk diffusion under uncertain information. Here, we explore the risk diffusion dynamics, drawing on epidemiology, and establish an SPIR (Susceptible-Potential-Infected-Recovered) model to simulate the risk diffusion process. The node represents the enterprise, and hyperedge represents the cooperation among enterprises. The microscopic Markov chain approach (MMCA) is used to prove the theory. Network dynamic evolution includes two removal strategies: (i) removing aging nodes; (ii) removing key nodes. Using Matlab to simulate the model, we found that it is more conducive to market stability to eliminate outdated enterprises than to control key enterprises during risk diffusion. The risk diffusion scale is related to interlayer mapping. Increasing the upper layer mapping rate to strengthen the efforts of official media to issue authoritative information will reduce the infected enterprise number. Reducing the lower layer mapping rate will reduce the misled enterprise number, thereby weakening the efficiency of risk infection. The model is helpful for understanding the risk diffusion characteristics and the importance of online information, and it has guiding significance for supply chain management.

The coronavirus recombination pathway.

Recombination is thought to be a mechanism that facilitates cross-species transmission in coronaviruses, thus acting as a driver of coronavirus spillover and emergence. Despite its significance, the mechanism of recombination is poorly understood, limiting our potential to estimate the risk of novel recombinant coronaviruses emerging in the future. As a tool for understanding recombination, here, we outline a framework of the recombination pathway for coronaviruses. We review existing literature on coronavirus recombination, including comparisons of naturally observed recombinant genomes as well as in vitro experiments, and place the findings into the recombination pathway framework. We highlight gaps in our understanding of coronavirus recombination illustrated by the framework and outline how further experimental research is critical for disentangling the molecular mechanism of recombination from external environmental pressures. Finally, we describe how an increased understanding of the mechanism of recombination can inform pandemic predictive intelligence, with a retrospective emphasis on SARS-CoV-2.

Persistent Exhausted T-Cell Immunity after Severe COVID-19: 6-Month Evaluation in a Prospective Observational Study.

INTRODUCTION: Severe COVID-19 can result in a significant and irreversible impact on long-term recovery and subsequent immune protection. Understanding the complex immune reactions may be useful for establishing clinically relevant monitoring. METHODS: Hospitalized adults with SARS-CoV-2 between March/October 2020 (n = 64) were selected. Cryopreserved peripheral blood mononuclear cells (PBMCs) and plasma samples were obtained at hospitalization (baseline) and 6 months after recovery. Immunological components' phenotyping and SARS-CoV-2-specific T-cell response were studied in PBMCs by flow cytometry. Up to 25 plasma pro/anti-inflammatory cytokines/chemokines were assessed by LEGENDplex immunoassays. The SARS-CoV-2 group was compared to matched healthy donors. RESULTS: Biochemical altered parameters during infection were normalized at a follow-up time point in the SARS-CoV-2 group. Most of the cytokine/chemokine levels were increased at baseline in the SARS-CoV-2 group. This group showed increased Natural Killer cells (NK) activation and decreased CD16high NK subset, which normalized six months later. They also presented a higher intermediate and patrolling monocyte proportion at baseline. T cells showed an increased terminally differentiated (TemRA) and effector memory (EM) subsets distribution in the SARS-CoV-2 group at baseline and continued to increase six months later. Interestingly, T-cell activation (CD38) in this group decreased at the follow-up time point, contrary to exhaustion markers (TIM3/PD1). In addition, we observed the highest SARS-CoV-2-specific T-cell magnitude response in TemRA CD4 T-cell and EM CD8 T-cell subsets at the six-months time point. CONCLUSIONS: The immunological activation in the SARS-CoV-2 group during hospitalization is reversed at the follow-up time point. However, the marked exhaustion pattern remains over time. This dysregulation could constitute a risk factor for reinfection and the development of other pathologies. Additionally, high SARS-CoV-2-specific T-cells response levels appear to be associated with infection severity.

Identification of Evolutionary Trajectories Shared across Human Betacoronaviruses.

Comparing the evolution of distantly related viruses can provide insights into common adaptive processes related to shared ecological niches. Phylogenetic approaches, coupled with other molecular evolution tools, can help identify mutations informative on adaptation, although the structural contextualization of these to functional sites of proteins may help gain insight into their biological properties. Two zoonotic betacoronaviruses capable of sustained human-to-human transmission have caused pandemics in recent times (SARS-CoV-1 and SARS-CoV-2), although a third virus (MERS-CoV) is responsible for sporadic outbreaks linked to animal infections. Moreover, two other betacoronaviruses have circulated endemically in humans for decades (HKU1 and OC43). To search for evidence of adaptive convergence between established and emerging betacoronaviruses capable of sustained human-to-human transmission (HKU1, OC43, SARS-CoV-1, and SARS-CoV-2), we developed a methodological pipeline to classify shared nonsynonymous mutations as putatively denoting homoplasy (repeated mutations that do not share direct common ancestry) or stepwise evolution (sequential mutations leading towards a novel genotype). In parallel, we look for evidence of positive selection and draw upon protein structure data to identify potential biological implications. We find 30 candidate mutations, from which 4 (codon sites 18121 [nsp14/residue 28], 21623 [spike/21], 21635 [spike/25], and 23948 [spike/796]; SARS-CoV-2 genome numbering) further display evolution under positive selection and proximity to functional protein regions. Our findings shed light on potential mechanisms underlying betacoronavirus adaptation to the human host and pinpoint common mutational pathways that may occur during establishment of human endemicity.