Pandemic Prevention Research Articles

Application of Pan-Viral Metagenomic Sequencing on United States Air Force Academy Wastewater to Uncover Potential Causes of Acute Gastroenteritis.

Wastewater surveillance is an important technique to monitor public health and is being studied extensively for pandemic prevention, force health protection and readiness, and as a potential early warning system for chem-bio defense. Wastewater surveillance has traditionally relied on techniques such as quantitative PCR or targeted sequencing, both of which are microbe- or disease-specific tools. Newer pan-viral metagenomics strategies may provide higher specificity for pathogens of interest, resulting in a lower false negative rate and reduced sequencing of undesired background nucleic acids. One such system, VirCapSeq-VERT, has been developed to targetall vertebrate virus pathogens; until recently, its application has been limited to clinical samples. The objective of this study was to use VirCapSeq-VERT to interrogate wastewater samples from the U.S. Air Force Academy (USAFA), Colorado Springs, Colorado, to determine its utility in assessing complex samples and its potential application in public health surveillance. Biweekly samples were analyzed from February 2022 through May 2023. Samples were collected from the wastewater treatment facility at USAFA before treatment and stored at -20 °C until total nucleic acid (tNA: DNA and RNA) extraction. tNA was then subject to the probe-based capture system, VirCapSeq, and run through a collection of public bioinformatics pipelines to identify captured viral pathogens and perform phylogenetic analysis. It was determined by the USAFA IRB that the study was non-human subject research and was deemed exempt. In total, 68 families of viruses were identified, comprising thousands of individual strains. This study focused on viruses responsible for gastrointestinal dysfunction as a test of the use of the VirCapSeq-VERT to identify human pathogenic viruses within a complex and highly enriched biological sample. Four enteric viruses dominated the wastewater samples, with Adenoviridae most prevalent before the cadet winter recess (December 17, 2022-January 4, 2023) and Astroviridae most abundant thereafter. Although gastroenteritis outbreaks at USAFA are commonly attributed to norovirus because of clinical presentation and the acute nature of the illness-often diagnosed and treated without confirmatory stool testing-this virus was not found in high prevalence in these wastewater samples. Among adenoviruses, F serotype 41 predominated, suggesting a role in gastrointestinal infections among the cadet population. Phylogenetic investigation of adenovirus and norovirus exposed common variants with seasonal distributions. These findings may prompt correlational studies to assess the clinical predictive capability of VirCapSeq-VERT and to determine the utility of wastewater monitoring as an outbreak early warning system.

Integrating animal welfare into the WHO pandemic treaty: a thematic analysis of civil society perspectives and comparison with treaty drafting

The COVID-19 pandemic has exposed critical weaknesses in the global health system, highlighting the urgent need for a coordinated international approach to pandemic prevention and management. As negotiations for a new WHO pandemic treaty progress, the effective integration of animal welfare is crucial. This paper aims to investigate the perspectives of key civil society organizations on the integration of animal welfare provisions into the pandemic treaty. Through a thematic analysis of documents prepared by FOUR PAWS, Wildlife Conservation Society, and Action for Animal Health between 2020–2023, five major themes are identified: prevention of zoonotic spillover, One Health approach, animal health systems and infrastructure, sustainable and ethical animal management practices, and policy coherence and governance. A comparative analysis of these themes against the April 2024 draft of the pandemic treaty reveals areas of alignment and divergence. Due to the ongoing controversies and the need for further improvements, the WHO's intergovernmental negotiating body was unable to finalize the treaty text for the 77th World Health Assembly in May 2024, leading to an extended mandate until 2025. Based on the findings, the paper proposes recommendations to strengthen the integration of animal welfare into the treaty, arguing that incorporating these recommendations is critical for developing a transformative, equitable, and effective treaty that addresses the systemic drivers of pandemic risk.

The One Health concept: a holistic approach to protect human and environmental health - how does it work in Total Worker Health strategy.

Human well-being is affected by demographic, geographical, environmental and economic changes in the modern world. Advanced and rapid technological advances have left countries without an adequate structural framework. The One Health concept, rooted in the interconnectedness of human health, animal health and the environment, addresses today's global health challenges. These include non-communicable and zoonotic diseases, antimicrobial resistance, ecosystem degradation and food security. All of these require a holistic approach, bringing together multiple disciplines. Therefore, an exploration of the One Health concept was undertaken, which focuses on the collaboration of professionals from different disciplines, as well as looking at human health in a multi-faceted way. The aim of the study was to explore how the One Health concept could contribute to effective pandemic prevention and a broader holistic understanding of human health. It was also relevant to identify its application in occupational medicine. The narrative review was adopted as the research method of choice. The authors emphasise the importance of interdisciplinary collaboration, education and international partnerships in preparing for future health emergencies. Human health should not only be assessed from a medical perspective, but also from an environmental point of view. International cooperation is therefore essential to prepare a unified response to threats and challenges. The system of teaching medical personnel needs to be improved, returning to anthropological assumptions. With zoonotic diseases systematically emerging, health professionals should be as prepared as possible for emergencies. Qualified teams are needed to assess risks and hazards in the workplace in a multidisciplinary manner. An in-depth knowledge of zoonotic pathogen transmission is crucial. The impact of environmental degradation on the immune system must be taken into account. A holistic view of workers' health is needed, taking into account ecological, environmental, social and economic factors. Med Pr Work Health Saf. 2024;75(5).

From Pandemic to Heatwave: Digital Strategies for Health Resilience

Abstract Heatwaves threaten public health in the EU, as evidenced by the high heat-related mortality in the summer of 2022. Despite their frequency, European heat-health action plans (HHAPs) largely exclude digital solutions. The COVID-19 pandemic shifted perceptions and use of digital health tools, demonstrating their effectiveness in responding to health crises and providing insights for heatwave management. This work explores the potential of further including digital health interventions into European HHAPs. The objective is to identify adaptable digital strategies to mitigate heatwave health impacts. We started by analyzing WHO’s guidance on the creation of HHAPs, as well as the European Observatory on Health Systems and Policies’ assessment of the four main areas supported by digital health tools during the pandemic. Later, we proposed four main areas where digital health solutions could be efficiently integrated. Each area underwent a rapid literature review to identify digital solutions used during COVID-19, followed by a critical analysis for applicability in heat-health action planning. We identified four areas where the implementation of digital tools should be explored: Communication and Information Dissemination (focusing on raising awareness among vulnerable groups, caregivers, and organizations); Modeling and Forecasting (developing precise forecasts for proactive planning); Health services coordination (among services delivering immediate care during heatwaves); Monitoring and Population Surveillance (implementing strategies to identify and mitigate heat-related risks e.g. among vulnerable populations). Results indicate that digital health solutions from COVID-19 can enhance national HHAPs. Tools for pandemic prevention and response are applicable to extreme weather events. The pandemic’s increased digital usage resulted from policy changes and infrastructure investment - leveraging these advancements could prepare Europe for extreme heat threats. Key messages • Results indicate that digital health solutions from COVID-19 can enhance national HHAPs. Tools for pandemic prevention and response are applicable to extreme weather events. • The pandemic’s increased digital usage resulted from policy changes and infrastructure investment - leveraging these advancements could prepare Europe for extreme heat threats.

Backyard flock sampling and artificial intelligence: A dual strategy for early detection of Avian Influenza and Newcastle Disease

Avian Influenza (AI) and Newcastle Disease (ND) are significant avian diseases that pose substantial threats to the commercial poultry industry due to their high contagion rates and potential for severe outcomes. Recent shifts in the epidemiology and ecology of both viruses have led to devastating impacts on wild bird and poultry populations, as well as farms and communities worldwide. These challenges underscore the necessity for One Health approaches to pandemic prevention and preparedness, emphasizing the need for multisectoral collaboration among animal, environmental, and public health sectors. To mitigate future pandemic risks, it is essential to control the transmission of AI and ND viruses among domestic and wild animals as well as humans. This involves addressing the upstream drivers of outbreaks, ensuring rapid response mechanisms, and conducting thorough risk assessments for zoonotic diseases. Effective implementation and maintenance of prevention programs, surveillance, and outbreak responses require strong political commitment and sustainable funding. A robust combination of active and passive surveillance strategies should be applied to monitor and control them. In addition, the integration of modern technologies, such as artificial intelligence and big data analytics, can enhance both active and passive surveillance efforts by improving the accuracy and speed of data collection, analysis, and reporting. The use of backyard flocks as an early warning system for avian diseases represents a proactive approach to understanding and managing the risks associated with AI and ND through targeted surveillance and timely interventions. In response to these challenges, the EpirORNIS Project aimed to leverage these sentinel backyard flocks for early detection of AI and ND, thereby enhancing surveillance and control strategies.

COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States

The devastating impact of COVID-19 on the United States has been profound since its onset in January 2020. Predicting the trajectory of epidemics accurately and devising strategies to curb their progression are currently formidable challenges. In response to this crisis, we propose COVINet, which combines the architecture of Long Short-Term Memory and Gated Recurrent Unit, incorporating actionable covariates to offer high-accuracy prediction and explainable response. First, we train COVINet models for confirmed cases and total deaths with five input features, and compare Mean Absolute Errors (MAEs) and Mean Relative Errors (MREs) of COVINet against ten competing models from the United States CDC in the last four weeks before April 26, 2021. The results show COVINet outperforms all competing models for MAEs and MREs when predicting total deaths. Then, we focus on prediction for the most severe county in each of the top 10 hot-spot states using COVINet. The MREs are small for all predictions made in the last 7 or 30 days before March 23, 2023. Beyond predictive accuracy, COVINet offers high interpretability, enhancing the understanding of pandemic dynamics. This dual capability positions COVINet as a powerful tool for informing effective strategies in pandemic prevention and governmental decision-making.

Burden of SARS-CoV-2 infection prior to vaccine eligibility among immunocompromised children aged 1-11years at a pediatric tertiary referral hospital in Toronto, Canada.

SARS-CoV-2 seroprevalence reflects the efficacy of pandemic infection prevention and control measures. We performed anti-spike IgG serological testing on residual sera of children 1-11years old at a tertiary care referral center between October and November 2021. Immunocompromised patients had the highest SARS-CoV-2 seroprevalence, at 40.5%, compared to 19.3% in non-immunocompromised patients. Targeted infection prevention and public health interventions are warranted for pediatric immunocompromised patients in future pandemics.

Infection epidemiological effects of school closures during the second COVID-19 pandemic wave-an exemplary analysis within alower Bavarian region

The rapid global spread of the SARS-CoV‑2 virus during the COVID-19 pandemic led to widespread non-pharmaceutical interventions, such as school closures, to curb infections. This study investigates the influence of school closures on the number of new infections to reduce the existing knowledge gap in this area. The effect of school closures starting on 16December 2020, was quantified using COVID-19 infection data from the district and city of Landshut in Bavaria between November 2020 and January 2021. An interrupted time series (ITS) analysis was performed to analyze daily new infections among 6-18 year olds and the entire population in the region before and after the school closures using anegative binomial regression model. The analysis showed that the trend of daily new COVID-19 infections among 6-18 year olds significantly decreased after the school closures (incidence rate ratio (IRR) 0.93; 95% confidence interval (CI): 0.89-0.96; p < 0.001). This was also true for the entire study population (IRR 0.95; 95% CI: 0.93-0.97; p < 0.001). In the context of various concurrent measures to contain the COVID-19 pandemic, the study provides evidence for asignificant association between school closures and reduced COVID-19 infections. By optimizing the existing incomplete evidence base on the role of school closures in pandemic control, this finding can support involved stakeholders and contribute to strengthening future approaches to pandemic prevention.

End of the Pandemic - Beginning of Digitalization in the Public Health Service? The German National Funding Program

The data-related desolate state of the health authorities became evident at the latest with the onset of the Covid-19 pandemic. The lack of interoperability and networking among health authorities quickly developed into blockages in contact tracing and pandemic control. As a basis for the study, key figures and funding volumes from the Pact-Public Health Service (Pakt-ÖGD) were evaluated and analyzed using descriptive parameters. In addition, a literature review on the Pakt-ÖGD and related terms was carried out. The Pakt-ÖGD represents the largest financing offensive for the Public Health Service to date. Despite the digitalization pact and the first distributions of funds, there is no consensus on the goals of digitalization such as the ISCODE, Findability, Accessibility, Interoperability und Reuse (FAIR concept). The RKI is currently presenting a new electronic reporting and information system for health authorities (EMIGA), which is to be introduced parallel to DEMIS as a nationwide core application for infection protection. In analogy to health literacy, the public health service needs increased digital literacy to strengthen competence in order to agree on common goals of ISCODE and the FAIR concept, i.e. what digitalization should create or not. A sustainable public health service requires an open and connectable network that goes beyond infection protection (pandemic prevention, preparedness and response - PPPR) to a global One-Health platform.

Street-level built environment on SARS-CoV-2 transmission: A study of Hong Kong

Understanding the association between SARS-CoV-2 Spatial Transmission Risk (SSTR) and Built Environments (BE) is crucial for implementing effective pandemic prevention measures. Massive efforts have been made to examine the macro-built environment at the regional level, which has neglected the living service areas at the residential scale. Therefore, this study aims to explore the association between Street-level Built Environments (SLBE) and SSTR in Hong Kong from the 1st to the early 5th waves of the pandemic to address this gap. A total of 3693 visited/resided buildings were collected and clustered by spatial autocorrelation, and then Google Street View (GSV) was employed to obtain SLBE features around the buildings. Eventually, the interpretable machine learning framework based on the random forest algorithm (RFA)-based SHapley Additive exPlanations (SHAP) model was proposed to reveal the hidden non-linear association between SSTR and SLBE.The results indicated that in the high-risk cluster area, street sidewalks, street sanitation facilities, and artificial structures were the primary risk factors positively associated with SSTR, in low-risk cluster areas with a significant positive association with traffic control facilities. Our study elucidates the role of SLBE in COVID-19 transmission, facilitates strategic resource allocation, and guides the optimization of outdoor behavior during pandemics for urban policymakers.

Treaty, Technology, and Trade: A Triadic Approach of BRICS towards Pandemic Prevention, Robust Readiness and Promotion of Human Rights

Treaty, Technology, and Trade: A Triadic Approach of BRICS towards Pandemic Prevention, Robust Readiness and Promotion of Human Rights

The Use of Online Consultation Systems or Remote Consulting in England Characterized Through the Primary Care Health Records of 53 Million People in the OpenSAFELY Platform: Retrospective Cohort Study.

The National Health Service (NHS) Long Term Plan, published in 2019, committed to ensuring that every patient in England has the right to digital-first primary care by 2023-2024. The COVID-19 pandemic and infection prevention and control measures accelerated work by the NHS to enable and stimulate the use of online consultation (OC) systems across all practices for improved access to primary care. We aimed to explore general practice coding activity associated with the use of OC systems in terms of trends, COVID-19 effect, variation, and quality. With the approval of NHS England, the OpenSAFELY platform was used to query and analyze the in situ electronic health records of suppliers The Phoenix Partnership (TPP) and Egton Medical Information Systems, covering >53 million patients in >6400 practices, mainly in 2019-2020. Systematized Medical Nomenclature for Medicine-Clinical Terminology (SNOMED-CT) codes relevant to OC systems and written OCs were identified including eConsultation. Events were described by volumes and population rates, practice coverage, and trends before and after the COVID-19 pandemic. Variation was characterized among practices, by sociodemographics, and by clinical history of long-term conditions. Overall, 3,550,762 relevant coding events were found in practices using TPP, with the code eConsultation detected in 84.56% (2157/2551) of practices. Activity related to digital forms of interaction increased rapidly from March 2020, the onset of the pandemic; namely, in the second half of 2020, >9 monthly eConsultation coding events per 1000 registered population were registered compared to <1 a year prior. However, we found large variations among regions and practices: December 2020 saw the median practice have 0.9 coded instances per 1000 population compared to at least 36 for the highest decile of practices. On sociodemographics, the TPP cohort with OC instances, when compared (univariate analysis) to the cohort with general practitioner consultations, was more predominantly female (661,235/1,087,919, 60.78% vs 9,172,833/17,166,765, 53.43%), aged 18 to 40 years (349,162/1,080,589, 32.31% vs 4,295,711/17,000,942, 25.27%), White (730,389/1,087,919, 67.14% vs 10,887,858/17,166,765, 63.42%), and less deprived (167,889/1,068,887, 15.71% vs 3,376,403/16,867,074, 20.02%). Looking at the eConsultation code through multivariate analysis, it was more commonly recorded among patients with a history of asthma (adjusted odds ratio [aOR] 1.131, 95% CI 1.124-1.137), depression (aOR 1.144, 95% CI 1.138-1.151), or atrial fibrillation (aOR 1.119, 95% CI 1.099-1.139) when compared to other patients with general practitioner consultations, adjusted for long-term conditions, age, and gender. We successfully queried general practice coding activity relevant to the use of OC systems, showing increased adoption and key areas of variation during the pandemic at both sociodemographic and clinical levels. The work can be expanded to support monitoring of coding quality and underlying activity. This study suggests that large-scale impact evaluation studies can be implemented within the OpenSAFELY platform, namely looking at patient outcomes.

Risk Perception, Cooperation, and Emotional Distress During the COVID-19 Pandemic: Exploring Adaptive Risk Perception

During the COVID-19 pandemic, while risk perception may promote public cooperation with pandemic prevention, it may also increase emotional distress and thus endanger mental health. This study aimed to examine whether there is an adaptive risk perception pattern that fits both needs of pandemic control and mental health protection. Two waves of Chinese participants (N sample 1 = 1633, N sample 2 = 1899) completed the Scale of Pandemic Risk Perception, the Scale of Public Cooperation with Pandemic Prevention, the Epidemic Worry Scale, and the Positive and Negative Affective Schedule during Feb 3rd to 5th, and during Feb 18th to 20th, 2021 respectively. Four risk perception profiles were identified by using latent profile analysis based on pandemic risk perception. Regression mixture models found that individuals in the perceived-controllable-high-perceived-risk profile were the most cooperative and reported the least worries and negative affect. The perceived-uncontrollable-high-perceived-risk profile demonstrated high cooperation but serious worry and negative affect. Individuals in the ignoring-risk profile reported the least levels of cooperation and worry but the highest levels of negative affect. Finally, the perceived-moderate-perceived-risk profile reported moderate levels of both cooperation and emotional distress. These results were well repeated in two samples. Present findings point towards an adaptive risk perception pattern (the controllable-high-perceived-risk profile) which may optimize cooperation while also avoid serious emotional distress.

Effectiveness of local health constitutions in surveillance the pandemic of coronavirus disease-2019 in rural community of Thailand

This qualitative research aimed to study the effectiveness of the local health constitution in controlling the spread of COVID-19. It reports the role of local communities, government agencies, and healthcare providers in implementing and enforcing local health constitutions and how their engagement can be improved to enhance surveillance. We also reported factors that influence compliance and strategies for improving compliance. We also evaluated the long-term sustainability of local health institutions beyond the pandemic. The population and sample group consisted of key members of the local health constitution teams at the provincial, sub-district, and village levels in the rural area of Ubon Ratchathani. Participants were purposively selected and volunteered to provide information. It included health science professionals, public health volunteers, community leaders, and local government officials, totaling 157 individuals. The study was conducted from December 2022 to September 2023. Our research shows that local health constitutions can better engage and educate communities to actively participate in pandemic surveillance and prevention. This approach is a learning experience for responding to emergencies, such as new infectious diseases that may arise in the future. This simplifies the work of officials, as everyone understands the guidelines for action. Relevant organizations contribute to disease prevention efforts, and there is sustainable improvement in work operations.

Effects of Blended Learning on EFL College Students’ Oral Communicative Competence: A Critical Review of Studies

For EFL learners’ development of oral communication competence in English, computer-assisted instruction has become an indispensable model. In the face of the arrival of the information and intelligence era and the need for regular pandemic prevention and control, blended learning has become a normalized teaching approach. Although there have been some investigations of the effectiveness of blended learning in enhancing college EFL students’ English communication skills, a review article that synthesizes the findings of these studies deserves an urgent attention. Thus, the overall purpose of this research is to review previous studies that have examined the use of blended learning to improve college EFL students’ English communication skills. The anticipated outcomes of this research can uncover the potential benefits of utilizing blended learning for enhancing English oral communicative competence among college EFL students. This article can offer some critical perspectives, suggestions, and consequences concerning the integration of blended learning in the acquisition of English language communication competence among college EFL students.

Strengthening health systems during non-pandemic period: Toward universal health coverage in the pandemic agreement.

Reflecting the experiences of the COVID-19 pandemic, the global response was reviewed by the Independent Review Panel for Pandemic Preparedness and Response. Based on the panel reports, the World Health Organization (WHO) member states decided to establish the intergovernmental negotiating body for drafting a WHO convention, agreement or other international instrument on pandemic prevention, preparedness and response, aiming for approval at the 77th World Health Assembly in 2024 (May 27- June 1). Amidst this process, the National Center for Global Health and Medicine, Japan (NCGM), as a global health organization focusing on health system strengthening in low- and middle-income countries, from the perspective of Universal Health Coverage (UHC), provided technical inputs to the representatives of the Japanese government. This paper summarizes crucial aspects of the NCGM inputs, including maintaining essential health services delivery during a pandemic, responding to evolving demand of health workforce, and ensuring the equitable distribution of pandemic products. These aspects can contribute to not only strengthening health crisis response and preparedness, but also achieving UHC. Therefore, the concerted efforts focusing on UHC and health crisis could yield synergistic effects. In addition, another aspect stresses the importance of social protection systems beyond health sector to reach vulnerable populations experiencing hardships during the COVID-19 pandemic. Since the whole-of-government approach including social policies is covered in the draft pandemic agreement, it is hoped that the upcoming pandemic agreement will trigger each member state to expand the scope of health crisis management beyond the health sector.

Burden of noncommunicable diseases and COVID-19 pandemic prevention and control strategies

Noncommunicable diseases (NCDs) are the leading cause of death in 21st century. The risk factors for development and progression of NCDs include sedentary lifestyle, inadequate fruits and vegetables intake, tobacco use, high blood pressure, high total cholesterol levels, obesity, high salt intake, low physical activity, and air pollution. People with NCDs and comorbidities like hypertension, cardiovascular diseases, diabetes, chronic respiratory infection and cancer are more vulnerable to severe COVID-19 infection that ultimately results into mortality. To reduce the impact of NCDs on COVID-19 cases, prevention is the best measure. Primary and secondary level prevention of NCDs plays a main role to control bad outcome in COVID-19 cases. The strategies that are required to address this comorbidity includes integration and convergence of the existing communicable and NCD programs, strengthening health care systems by giving major focus on primary health care services, health and wellness centers, universal health coverage, updating guidelines, enhancing community participation, capacity building, appropriate policy making, multi-sectoral participation and coordination.

The Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA) approach on data ranging from March 11, 2020, to December 31, 2022, which included observed COVID-19 cases, the population for each of the Alabama counties, and a Geographical map of the state. The geographical distribution of COVID-19’s relative risk was determined using various spatial statistical techniques, indicating high-risk locations. The study used Besag-York-Mollié (BYM) models to assess the posterior relative risk of COVID-19, and it found a statistically significant average decrease in COVID-19 case rates across the 67 counties evaluated. These findings have practical implications for evidence-based policymaking in pandemic prevention, mitigation, and preparation.

Dynamic patterns of COVID stress syndrome among university students during an outbreak: a time-series network analysis

Objective Assessing the progression of COVID stress syndrome (CSS) and understanding how cognitive and emotional factors play a role in the dynamic system is critical for prevention and intervention during the COVID-19 pandemic. We investigated the dynamic relationship between self-reported COVID stress syndrome, cognitive factors, and emotional factors through time-series network analysis. Methods and Measures Participants were 188 university students involved in an experience sampling method study that lasted 14 days, three times a day, during the COVID-19 pandemic period following a shift in pandemic prevention and control policy. Results CSS symptoms are usually present simultaneously, and xenophobia is the most central node of the network. There is a complex mutual predictive relationship between CSS symptoms, in which traumatic stress symptoms are crucial in developing and maintaining the CSS symptom network. Negative affect was associated with CSS symptoms at the same time, and subjective health cognition was a significant predictor of CSS symptoms the next time. Conclusions Traumatic stress symptoms are essential nodes in the CSS symptom network, and negative emotions and subjective health influence the occurrence and development of CSS symptoms.

Organizational resiliency through practice innovation: forced brand evolution in a prolonged exogenous service ecosystem disruption

PurposeThis paper aims to explore practice innovation and organizational resiliency during exogenous service ecosystem disruptions. This inquiry focuses on the extreme disruption caused by the COVID-19 pandemic, which required service firms to recodify long-established service scripts, adapt digital and physical material elements of the service encounter and ultimately reconfigure a system of practices. The specific context is forced practice innovation in Starbucks servicescape (kiosks and coffeehouses). Starbucks is best known for its custom beverages and third-place strategy. Their strict adherence to a complex service script and unique ordering practices altered during pandemic stay-home disease prevention mandates.Design/methodology/approachThematic coding consistent with prior research on practice innovation and diffusion and a grounded theory methodology was conducted. Data were triangulated and analyzed within and across a variety of sources. These include field notes from direct observation, interviews, focus groups, firm-authored collateral in the form of marketing communications and third-party authored secondary sources such as news, social media, blogs and forums.FindingsData reveal how practice innovation occurs through the reconfiguration of a system of practices, which support organizational resiliency and can force brand evolution, in prolonged exogenous service ecosystem disruptions. The COVID-19 pandemic required service industries to adapt and recodify service scripts and alter physical and digital elements of service encounters. While the pandemic affected all firms in the sector, we argue that Starbucks' established scripts and third-place strategies, which characterized the brand experience, were particularly vulnerable. We find that practice innovation occurs through the reconfiguration of practice elements – competences, meanings and materiality – and restructures the service encounter. Practice codification, transposition, adaptation and stabilization support organizational resiliency and brand evolution. We find that Starbucks' brand experience emphasis on the third place is reconceptualized from an in-person community-based retailscape to a platform-based strategy necessitating script recodification and practice adaptation. Our analysis of Starbucks' kiosks and coffeehouses illuminates how a distinctly branded service encounter is constituted by a system of practices that can be reconfigured and diffused anew in the face of disruption.Originality/valueThe conceptualization of practice innovation as systems reconfiguration establishes a novel approach to understanding innovation in service ecosystems. The COVID-19 pandemic is a unique context to study a sector-wide exogenous extended service disruption. We focus on a firm with an elaborate pre-pandemic service script and commitment to a third-place brand experience guiding its system of practices. We reveal unique insights on practice innovation within service ecosystems during exogenous prolonged disruptions in which brands evolve through the recodification of service scripts and sustained reconfiguration of systems of practice.