Antibodies utilizing VL6-57 light chains target a convergent cryptic epitope on SARS-CoV-2 spike protein driving the genesis of Omicron variants (preprint)

Continued evolution of SARS-CoV-2 generates variants to challenge antibody immunity established by infection and vaccination. A connection between population immunity and genesis of virus variants has long been suggested but its molecular basis remains poorly understood. Here, we identify a class of SARS-CoV-2 neutralising public antibodies defined by their shared usage of VL6-57 light chains. Although heavy chains of diverse genotypes are utilized, convergent HCDR3 rearrangements have been observed among these public antibodies to cooperate with germline VL6-57 LCDRs to target a convergent epitope defined by RBD residues S371-S373-S375. Antibody repertoire analysis identifies that this class of VL6-57 antibodies is present in SARS-CoV-2-naive individuals and is clonally expanded in most COVID-19 patients. We confirm that Omicron specific substitutions at S371, S373 and S375 mediate escape of antibodies of the VL6-57 class. These findings support that this class of public antibodies constitutes immune pressure promoting the introduction of S371L/F-S373P-S375F in Omicron variants. The results provide further molecular evidences to support that antigenic evolution of SARS-CoV-2 is driven by antibody mediated population immunity.

The impact of the COVID-19 pandemic on global trade-embodied carbon emissions.

We evaluate the response of global supply chains to carbon emissions through compiling multi-regional input-output (MRIO) models for import and export shocks in 14 countries/territories dominated by the COVID-19 crisis. Instead of traditional production-based inventories, we achieve CO2 emissions inventories based on intermediate inputs and final consumption to analyze the connected environmental impacts. In addition, we adopt the available data up to date to construct inventories of carbon emissions involved in imports and exports from different sectors. The results show that global carbon emissions could be decreased by 6.01% during the COVID-19, while export carbon emissions remained basically unchanged. As a result, imported carbon emissions fell by 5.2%, with the energy products sector most affected by the pandemic. Transport sector witnessed 18.42% carbon emission reduction. The impact of developing countries with a large proportion of resource-based industries is comparatively higher than that of developed countries with the technological advantage. International trade plays a crucial role in the choice of supply chain partners to control carbon emissions. Building a sustainable supply chain and reducing the "trade carbon deficit" between countries/regions requires the coordination of all departments of each country/region to promote the trade of energy-saving products, environmental protection services and environmental services.

Conversion of monoclonal IgG to dimeric and secretory IgA restores neutralizing ability and prevents infection of Omicron lineages (preprint)

The emergence of Omicron lineages and descendent subvariants continues to present a severe threat to the effectiveness of vaccines and therapeutic antibodies. We have previously suggested that an insufficient mucosal IgA response induced by the mRNA vaccines is associated with a surge in breakthrough infections. Here, we further show that the intramuscular mRNA and/or inactivated vaccines cannot sufficiently boost the mucosal sIgA response in uninfected individuals, particularly against the Omicron variant. We thus engineered and characterized recombinant monomeric, dimeric and secretory IgA1 antibodies derived from four neutralizing IgG monoclonal antibodies targeting the receptor-binding domain of the spike protein (01A05, rmAb23, DXP-604 and XG014). Compared to their parental IgG antibodies, dimeric and secretory IgA1 antibodies showed a higher neutralizing activity against different variants of concern (VOCs), in part due to an increased avidity. Importantly, the dimeric or secretory IgA1 form of the DXP-604 antibody significantly outperformed its parental IgG antibody, and neutralized the Omicron lineages BA.1, BA.2 and BA.4/5 with a 50-150-fold increase in potency, reaching the level of the most potent monoclonal antibodies described till date. In hACE2 transgenic mice, a single intranasal dose of the dimeric IgA DXP-604 conferred prophylactic and therapeutic protection against Omicron BA.5. Conversion of IgA and dimerization further enhanced or restored the neutralizing ability against the emerging Omicron sub-variants (DXP-604 for BQ.1, BQ.1.1 and BA2.75; 01A05 for BA2.75, BA.2.75.2 and XBB.1). Thus, dimeric or secretory IgA delivered by nasal administration may potentially be exploited for the treatment and prevention of Omicron infection, thereby providing an alternative tool for combating immune evasion by subvariants and, potentially, future VOCs.

Comparing aerosol exposure and prevention strategies during bystander, pre- hospital, and inpatient cardiopulmonary resuscitation (preprint)

Background To evaluate aerosol exposure risk and prevention strategies during bystander, pre-hospital, and inpatient cardiopulmonary resuscitation (CPR). Methods This study compared hands-only CPR, CPR with a surgical or N95 mask, and CPR with a non-rebreather mask at 15 L/min. 30:2 compression-ventilation ratio CPR was tested with face-mask ventilation (FMV), FMV with a high efficiency particulate air (HEPA) filter; supraglottic airway (SGA), SGA with a surgical mask, SGA with a HEPA filter, or SGA with both. Continuous CPR was tested with an endotracheal tube (ET), ET with a surgical mask, a HEPA filter, or both. Aerosol concentration at the head, trunk, and feet of the mannequin were measured to evaluate exposure to CPR personnel. Results Hands-only CPR with a surgical or N95 face mask coverings and ET tube ventilation CPR with filters showed the lowest aerosol exposure among all study groups, including CPR with NRM oxygenation, FMV, and SGA ventilation. NRM had a mask effect and reduced aerosol exposure at the head, trunk, and feet of the mannequin. FMV with filters during 30:2 CPR reduced aerosol exposure at the head and trunk, but increased at the feet of the mannequin. A tightly-sealed SGA when used with a HEPA filter, reduced aerosol exposure by 21.00%-63.14% compared with a loose-fitting one. Conclusion Hands-only CPR with a proper fit surgical or N95 face mask coverings is as safe as ET tube ventilation CPR with filters, compared with CPR with NRM, FMV, and SGA. FMV or tight-sealed SGA ventilation with filters prolonged the duration to achieve estimated infective dose of SARS-CoV-2 2.4-2.5 times longer than hands-on CPR only. However, a loose-fitting SGA is not protective at all to chest compressor or health workers standing at the foot side of the victim, so should be used with caution even when using with HEPA filters.

Language Attrition of Older Multilinguals under a Pandemic Situation in Malaysia

Rapid population ageing is observed in both developed and developing countries. During the period of movement restrictions due to the coronavirus disease 2019 (COVID-19) pandemic, older Malaysians experienced reduced social interactions and limited usage of their second (L2) and third (L3) languages. This may lead to earlier onset of age-related language attrition and cognitive frailty. This study intends to identify the contributing factors to language attrition and here, we will present preliminary results of phase 1. [ FROM AUTHOR]

Hospital transfer risk prediction for COVID-19 patients from a medicalized hotel based on Diffusion GraphSAGE (preprint)

The global COVID-19 pandemic has caused more than six million deaths worldwide. Medicalized hotels were established in Taiwan as quarantine facilities for COVID-19 patients with no or mild symptoms. Due to limited medical care available at these hotels, it is of paramount importance to identify patients at risk of clinical deterioration. This study aimed to develop and evaluate a graph-based deep learning approach for progressive hospital transfer risk prediction in a medicalized hotel setting. Vital sign measurements were obtained for 632 patients and daily patient similarity graphs were constructed. Inductive graph convolutional network models were trained on top of the temporally integrated graphs to predict hospital transfer risk. The proposed models achieved AUC scores above 0.83 for hospital transfer risk prediction based on the measurements of past 1, 2, and 3 days, outperforming baseline machine learning methods. A post-hoc analysis on the constructed diffusion-based graph using Local Clustering Coefficient discovered a high-risk cluster with significantly older mean age, higher body temperature, lower SpO2, and shorter length of stay. Further time-to-hospital-transfer survival analysis also revealed a significant decrease in survival probability in the discovered high-risk cluster. The obtained results demonstrated promising predictability and interpretability of the proposed graph-based approach. This technique may help preemptively detect high-risk patients at community-based medical facilities similar to a medicalized hotel.

Disulfide stabilization reveals conserved dynamic features between SARS-CoV-1 and SARS-CoV-2 spikes. (preprint)

SARS-CoV-2 spike protein (S) is structurally dynamic and has been observed by cryo-EM to adopt a variety of prefusion conformations that can be categorized as locked, closed and open. The locked conformations feature tightly packed trimers with structural elements incompatible with RBD in "up" position. For SARS-CoV-2 S, it has been shown that the locked conformations are transient under neutral pH. Probably due to their transience, locked conformations remain largely uncharacterized for SARS-CoV-1 S. Intriguingly, locked conformations were the only conformations captured for S proteins of bat and pangolin origin SARS-related coronaviruses. In this study, we introduced x1, x2, and x3 disulfides into SARS-CoV-1 S. Some of these disulfides have been shown to preserve rare locked conformations when introduced to SARS-CoV-2 S. Introduction of these disulfides allowed us to image a variety of locked and other rare conformations for SARS-CoV-1 S by cryo-EM. We identified bound cofactors and structural features that are associated with SARS-CoV-1 S locked conformations. We compare newly determined structures to other available spike structures of Sarbecoviruses to identify conserved features and discuss their possible functions.

Associations between psychological inflexibility and mental health problems during the COVID-19 pandemic: A three-level meta-analytic review

Background An increasing number of research has documented the positive associations between psychological inflexibility (PI) and mental health problems (i.e., depressive, anxiety, and stress symptoms) during the COVID-19 pandemic. However, the documented associations have been inconsistent. This review thus aimed to quantitatively summarize primary research to gain better estimates of these associations. Methods A systematic literature review was conducted in six databases and three-level meta-analytic models were used to statistically synthesize effect sizes and to examine moderators of the associations between PI and depressive, anxiety, and stress symptoms. Results A total of 22 studies yielded 63 effect sizes on associations between PI and depressive, anxiety, or stress symptoms. The results of three separate meta-analyses revealed a large and significant association between PI and depressive (r = 0.580, 95 % CI [0.549;0.775]), anxiety (r = 0.548, 95 % CI [0.468;0.761]), and stress symptoms (r = 0.548, 95 % CI [0.506;0.725]). The association between PI and depressive symptoms is stronger for males than for females, and the association between PI and stress symptoms varies by type of measure that primary studies use to assess PI and stress symptoms. Limitations Temporal or causal conclusions are not allowed due to cross-sectional nature of the associations included in meta-analyses. Clinical samples with high levels of stress were underrepresented. Conclusions PI seems an important risk factor for symptoms of depression, anxiety, and stress, and should therefore be targeted in interventions addressing mental health problems during the COVID-19 pandemic and beyond.

The concept of the cruise supply chain and its characteristics: an empirical study of China's cruise industry

Purpose>The cruise industry has witnessed steady growth, with passenger volume increasing from 17.8 million in 2009 to 30 million in 2019. In the context of global competition and an uncertain business environment, competition in business has changed dramatically from battles of “firm versus firm” to “supply chain versus supply chain”. Hence, the purpose of this paper is to understand the cruise industry from a chain perspective, which has not drawn widespread research attention.Design/methodology/approach>This paper brings together the insights, opinions, concepts and frameworks from a literature review of different disciplines (maritime shipping, tourism management, logistics management, operations management and supply chain management) and analysis results from 22 semi-structured interviews to make an early attempt to conceptualise the cruise supply chain (CSC).Findings>The cruise supply chain is elaborated on the process, the role of each entity and its characteristics by comparing with the maritime supply chain and tourism supply chain. Based on the understanding of the CSC, two specific characteristics of the Chinese CSC are examined, which need further investigation.Originality/value>The CSC is articulated with detailed processes and characteristics based on the literature review and empirical study. The findings of this paper not only advance the knowledge of the supply chain in the cruise industry but also highlight the importance of further research on the CSC.

Animal models for COVID-19: advances, gaps and perspectives.

COVID-19, caused by SARS-CoV-2, is the most consequential pandemic of this century. Since the outbreak in late 2019, animal models have been playing crucial roles in aiding the rapid development of vaccines/drugs for prevention and therapy, as well as understanding the pathogenesis of SARS-CoV-2 infection and immune responses of hosts. However, the current animal models have some deficits and there is an urgent need for novel models to evaluate the virulence of variants of concerns (VOC), antibody-dependent enhancement (ADE), and various comorbidities of COVID-19. This review summarizes the clinical features of COVID-19 in different populations, and the characteristics of the major animal models of SARS-CoV-2, including those naturally susceptible animals, such as non-human primates, Syrian hamster, ferret, minks, poultry, livestock, and mouse models sensitized by genetically modified, AAV/adenoviral transduced, mouse-adapted strain of SARS-CoV-2, and by engraftment of human tissues or cells. Since understanding the host receptors and proteases is essential for designing advanced genetically modified animal models, successful studies on receptors and proteases are also reviewed. Several improved alternatives for future mouse models are proposed, including the reselection of alternative receptor genes or multiple gene combinations, the use of transgenic or knock-in method, and different strains for establishing the next generation of genetically modified mice.

SARS-CoV-2 breakthrough infections induce somatically hypermutated broadly neutralizing antibodies against heterologous variants (preprint)

Currently circulating SARS-CoV-2 Omicron variants feature highly mutated spike proteins with extraordinary abilities in evading acute-infection-induced germline antibodies isolated earlier in the pandemic. We identified that memory B cells from Delta variant breakthrough-infection patients expressed antibodies with more extensive somatic hypermutations (SHMs) allowing isolation of a number of broadly neutralizing antibodies with activities against heterologous variants of concerns (VOCs) including Omicron variant. Structural studies identified that SHM introduced altered amino acids and highly unusual HCDR2 insertions respectively in two representative broadly neutralizing antibodies - YB9-258 and YB13-292. Previously, insertion/deletion were rarely reported for antiviral antibodies except for those induced by HIV-1 chronic infections. Identified SHMs involved heavily in epitope recognition, they broadened neutralization breadth by rendering antibodies resistant to VOC mutations highly detrimental to previously isolated antibodies targeting similar epitopes. These data provide molecular mechanisms for enhanced immunity to heterologous SARS-CoV-2 variants after repeated antigen exposures with implications for future vaccination strategy.

The Effect of a Tele-Health Intervention Program on Home-Dwelling Persons with Dementia or MCI and on Their Primary Caregivers during the Stay-at-Home-Order Period in the COVID-19 Pandemic Outbreak: Evidence from Taiwan

Background: The Taiwanese government implemented a stay-at-home order that restricted all community-based health promotion activities for the elderly by shutting down all community care centers from May 2021 to August 2021 to control the spread of COVID-19. Community-based dementia care centers were barely able to provide dementia care services during that period. Methods: The data used in this study were collected from a community-based dementia care center that was able to continue their dementia care services through a Tele-Health intervention program. The difference-in-differences methodology was applied to evaluate the effects of the Tele-Health intervention program on home-dwelling persons with dementia or mild cognitive impairment and on their primary caregivers during the COVID-19 pandemic. Results: The Tele-Health intervention program significantly increased the well-being of the participants and their primary caregivers, but the negative correlations between the Tele-Health intervention program and family functioning were also found to be significant. Conclusions: The significant substitution (negative) effects between the Tele-Health intervention program and family functioning raises the concern that promotion of the Tele-Health intervention program comes at the potential cost of a loss of family functioning. Policymakers should be cautious when considering the Tele-Health intervention program in response to pandemics and demographic transitions.

Homologous and heterologous boosting of the ChAdOx1-S1-S COVID-19 vaccine with the SCB-2019 vaccine candidate: a randomized, observer-blinded, controlled, phase 2 study (preprint)

Background: Ongoing outbreaks of COVID-19 have been associated with waning immunity following primary immunizations and emergence of new SARS-CoV-2 variants. Heterologous boosters have been suggested to maintain population immunity. Methods: In this study of heterologous boosters we assessed immunogenicity and reactogenicity of booster doses of different formulations of alum-adjuvanted SCB-2019 vaccine (9 g SCB-2019 with or without CpG-1018 adjuvant, or 30 g SCB-2019 with CpG-1018) in Brazilian adults primed with ChAdOx1-S vector vaccine. S-protein and ACE2 binding antibodies were measured by ELISA on Days 1, 15 and 29. Participants self-reported solicited adverse events and reactions. Results: All SCB-2019 formulations increased ELISA antibodies against S-protein and ACE2 to a greater extent than ChAdOx1-S. After 30 g SCB-2019+CpG+alum titers against wild-type S-protein and ACE2 were significantly higher than after ChAdOx1-S on Days 15 and 29, as were GMTs for neutralizing antibodies against wild-type strain and Beta, Gamma, Delta, and Omicron variants. Boosting with SCB-2019 or ChAdOx1-S was well tolerated with no vaccine-related serious or severe adverse events. Conclusions: Heterologous boosting with SCB-2019 of ChAdOx1-S-primed adults was more efficient in increasing immunity against wild-type strain and SARS-CoV-2 variants than a homologous ChAdOx1-S booster, highest responses being with the 30 g SCB-2019+CpG+alum formulation.

The Moderating Effect of Compassionate Mindfulness on the Psychological Needs and Emotions of Generation Y in the 21st Century in Taiwan.

During the 2020 COVID-19 pandemic in Taiwan, 6.5% of Generation Y required medical treatment for emotional and stress-related mental disorders. This study explores the moderating effect of mindfulness training on psychological needs and emotions to propose effective measures to promote the mental health of Generation Y. This study was carried out by questionnaire, using the data of respondents born in 1980-1999, collected in three different periods for quantitative analysis with compassionate mindfulness as the main variable. The results show that the compassionate mindfulness effect on emotion regulation varies greatly among different educational levels. However, it still plays a positive role in the psychological needs of Generation Y. Most members of Generation Y who receive compassionate mindfulness training have fewer basic needs and more interpersonal trust. They pay more attention to individual-oriented self-realization. Compassionate mindfulness has a greater positive moderating effect on the mental health of women aged 30-39 and those who are highly educated. Compassionate mindfulness has a more positive moderating effect on the psychological needs of members of Generation Y who were born more recently. During the COVID-19 pandemic, providing compassionate mindfulness has a significant positive effect on the prevention of mental disorders of Generation Y in Taiwan.

Serum Unconjugated Bilirubin as a Predictor of Specific Cellular Immunity Response in Kidney Transplant Recipients after Administration of SARS-CoV-2 Inactivated Vaccine (preprint)

Purpose: The immunogenicity of SARS-CoV-2 vaccines is poor in kidney transplant recipients (KTRs). The factors related to poor immunogenicity to vaccination in KTRs are not well defined. Methods An observational study was conducted in KTRs and healthy individuals who had received two doses of SARS-CoV-2 inactivated vaccine. IgG antibodies against the receptor-binding domain found in the S1 subunit of the spike protein, and against nucleocapsid protein were measured using enzyme-linked immunosorbent assay. Receptor-binding domain (RBD)-angiotensin-converting enzyme 2 interaction-blocking antibodies were measured using commercial kits. T cell responses against the spike and nucleocapsid proteins were detected using enzyme-linked immunosorbent spot assay. Results No severe adverse effects were observed in KTRs after first or second dose of SARS-CoV-2 inactivated vaccine. IgG antibodies against the receptor- binding domain, and nucleocapsid protein were not effectively induced in a majority of KTRs after second dose of inactivated vaccine. Specific T cell immunity response was detectable in 32%-40% KTRs after second doses of inactivated vaccine. KTRs who developed specific T cell immunity were more likely to be female, and have lower levels of total bilirubin, unconjugated bilirubin, and blood tacrolimus concentration. Multivariate logistic regression analysis found that blood unconjugated bilirubin was significantly negatively associated with SARS-CoV-2 specific T cell immunity response in k KTRs. Conclusions Specific T cell immunity response could be induced in 32%-40% KTRs after two doses of inactivated vaccine. Blood unconjugated bilirubin was negatively associated with specific cellular immunity response in KTRs following vaccination.

A population antibody response against SARS-CoV-2 with differential neutralization activities towards the Delta and Omicron variants (preprint)

Population antibody response is believed to be important in selection of new variant viruses. We identified that SARS-CoV-2 infections elicit a population immune response mediated by a lineage of VH1-69 germline antibodies. The representative antibody R1-32 targets a novel semi-cryptic epitope defining a new class of RBD targeting antibodies. Binding to this non-ACE2 competing epitope leading to spike destruction impairing virus entry. Based on epitope location, neutralization mechanism and analysis of antibody binding to spike variants we propose that recurrent substitutions at 452 and 490 are associated with immune evasion of this population antibody response. These substitutions, including L452R found in the Delta variant, disrupt interaction mediated by the VH1-69 specific hydrophobic HCDR2 to impair antibody-antigen association allowing variants to escape. Lacking 452/490 substitutions, the Omicron variant is sensitive to this class of antibodies. Our results provide new insights into SARS-CoV-2 variant genesis and immune evasion.

Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model (preprint)

Predicting the number of infections in the anti-epidemic process is extremely beneficial to the government in developing anti-epidemic strategies, especially in fine-grained geographic units. Previous works focus on low spatial resolution prediction, e.g., county-level, and preprocess data to the same geographic level, which loses some useful information. In this paper, we propose a fine-grained population mobility data-based model (FGC-COVID) utilizing data of two geographic levels for community-level COVID-19 prediction. We use the population mobility data between Census Block Groups (CBGs), which is a finer-grained geographic level than community, to build the graph and capture the dependencies between CBGs using graph neural networks (GNNs). To mine as finer-grained patterns as possible for prediction, a spatial weighted aggregation module is introduced to aggregate the embeddings of CBGs to community level based on their geographic affiliation and spatial autocorrelation. Extensive experiments on 300 days LA city COVID-19 data indicate our model outperforms existing forecasting models on community-level COVID-19 prediction.

Conceptualizing the Internet Compulsive-Buying Tendency: What We Know and Need to Know in the Context of the COVID-19 Pandemic

Over the past decade, new innovative products and services have been introduced into the marketplace using advanced technology. The enticement of new products lures consumers to buy compulsively. Because of the convenience and the characteristics of online shopping, it will increase the incidence of compulsive-buying behavior. Meanwhile, due to the fact that the COVID-19 pandemic is continuing to spread around the world, consumers may change their decision-making and behavior to shop online more frequently and intensively. The repetitive shopping online means more cardboard, delivery transportations, and vehicles and that more goods will be produced. It will result in an unfriendly result for the environment. Given the critical role of compulsive buying in the emerging Internet retail environment, it is necessary to develop and validate an instrument to measure the Internet compulsive-buying tendency (ICBT). Therefore, a rigorous measurement-scale-development procedure was applied to evaluate the initial 31 items. After two rounds of data collection and assessment, the final instrument contained 18 items that fall into four subconstructs: the tendency to spend online, feelings about online shopping and spending, dysfunctional online spending, and online post-purchase guilt. These factors can provide a basis for predicting tendencies toward Internet compulsive shopping and can be used to evaluate consumers’abnormal behavior in online-shopping circumstances.

Masks for COVID-19.

Sustainable solutions on fabricating and using a face mask to block the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread during this coronavirus pandemic of 2019 (COVID-19) are required as society is directed by the World Health Organization (WHO) toward wearing it, resulting in an increasingly huge demand with over 4 000 000 000 masks used per day globally. Herein, various new mask technologies and advanced materials are reviewed to deal with critical shortages, cross-infection, and secondary transmission risk of masks. A number of countries have used cloth masks and 3D-printed masks as substitutes, whose filtration efficiencies can be improved by using nanofibers or mixing other polymers into them. Since 2020, researchers continue to improve the performance of masks by adding various functionalities, for example using metal nanoparticles and herbal extracts to inactivate pathogens, using graphene to make masks photothermal and superhydrophobic, and using triboelectric nanogenerator (TENG) to prolong mask lifetime. The recent advances in material technology have led to the development of antimicrobial coatings, which are introduced in this review. When incorporated into masks, these advanced materials and technologies can aid in the prevention of secondary transmission of the virus.

Tourism industry resilience issues in urban areas during COVID-19

Purpose: COVID-19 impacts different groups and subsectors of tourism unevenly, with massive vulnerabilities in tourism operating systems among urban tourism areas. Different types of COVID-19 related crises depend on isolation or returning to “normal” in various urban areas. Boosting domestic tourism activities to spark resilience before international demand returns is essential to stimulating local demand worldwide. This paper aims to build upon a non-exhaustive review of the scientific literature about tourism resilience issues to see the bigger picture of tourism resilience on three levels worldwide. Design/methodology/approach: This research applies a content analysis technique to collect research data from the latest scientific papers on tourism resilience issues. This study will use searching and filtering on the Scopus web database and based on the VOSviewer algorithm to identify useful insights and determine a framework for tourism resilience issues on three levels. Findings: The outcome of three aspects of resilience, which mainly relate to the development of tourism industry sectors (transportation, accommodation, food and beverage) and other industries (research and education) connected to urban tourism resilience, could be useful for future researchers to explore less-studied issues and policymakers’ future application. Research limitations/implications: The research data are mostly from literature reviews of papers that may not interpret all contemporary resilience issues and the research data are based on urban areas alone. Originality/value: The research idea is fresh and adds new knowledge to professionals’ or policymakers’ future applications. © 2021, International Tourism Studies Association.