SARS Outbreak Research Articles

After the Crisis: Explaining stories of professional identity growth from collective action

Emergent forms of collaboration are central to societies’ response to crises like natural disaster, refugee migration and pandemics. Even though individuals’ participation in such collective action may be short-lived, recent studies propose it can inspire enduring professional role change as people return to their everyday work post-crisis. Yet, previous research does not focus on the divergent stories participants tell about the crisis years afterward and what it meant for them professionally. Through a grounded study of healthcare workers involved in the 2003 Toronto SARS outbreak, we examine varied narratives of professional identity growth following collective action in crisis. Years after SARS, participants told diverse stories about the crisis as an event that suspended, affirmed or even expanded their professional identities. Participants with narratives of identity suspension saw SARS as an event lacking professional relevance. Narratives of identity affirmation and expansion, however, emphasized growth and inspiration for participants’ professional roles post-crisis. We theorize how interactions within collective responses can foster growth narratives, when they enhance meanings central to participants’ professional identities and by affording follow-on interactions that translate these meanings into role change. We contribute new insight on how collective action in crisis can lead to professional role change post-crisis, how fragmented perspectives affect capacity for collective action in intermittent crises, and the role of follow-on interactions in professionals’ narrative identity work.

Strengthening medical facility responses to respiratory infectious diseases: Global trends, challenges, and innovations post-COVID-19.

Respiratory infectious diseases have long been a serious public health problem. This study explores the significance of respiratory infectious disease prevention and control systems worldwide, particularly during and after the COVID-19 pandemic. The epidemiology of many respiratory diseases such as influenza changed over the past two years, and the incidence of pathogens such as Mycoplasma pneumoniae and Bordetella pertussis has also increased. Based on influenza surveillance data in China, the influenza season in 2023 was notably delayed and extended, with A(H1N1) pdm09 being the predominant strain. This editorial also reviewed the gradual establishment of China's infectious disease prevention and control system following the 2003 SARS outbreak, highlighting the role of medical facilities in managing public health emergencies, conducting infectious disease pre-screening, and reporting cases to networks in real time. In the future, China will further develop an intelligent, multi-trigger infectious disease surveillance and early warning system to increase the early detection of unknown infectious diseases and optimize the allocation of medical resources. A robust infectious disease control system is crucial to addressing future pandemic threats.

Optimal resource allocation for rapid convergence to stable healthy state in epidemic spreading models

The networked Susceptible-Infected-Susceptible (SIS) model has been widely investigated as a model for the spread of epidemics within networked systems. In networks with SIS dynamics and unstable healthy states, a critical question is how to distribute compensatory curing resources (with constrained total cost) among individuals, ensuring that the network converges to a healthy state as fast as possible. This paper introduces a novel approach to this problem by developing an algorithm for the optimal allocation of compensatory curing resources required by agents in a given network. This solution approach has been made possible by reformulating the original convergence rate optimization problem and an additional constraint guaranteeing a minimum convergence rate as a standard semidefinite programming problem. The applicability of the proposed algorithm to arbitrary undirected topologies and other variations of the SIS model, including the one with a weighted cost function, has been demonstrated. In the case of symmetry preserving curing and infection rates, it has been shown that the problem over a given network with a symmetric topology can be reduced to a smaller network with each orbit acting as a node. Additionally, for networks with one or two orbits, the problem has been addressed analytically, and several examples have been included. Based on two different scenarios inspired by the SARS outbreak in Hong Kong and the COVID-19 outbreak in the USA, it is shown that the algorithm's optimal results outperform the uniform distribution of additional curing resources. The paper also explores how optimal performance metrics change with the given upper limit on the total amount of additional curing resources.

The Impact of SARS Epidemic on Firm Investment: Evidence from Listed Firms in China

ABSTRACT The outbreak of SARS in 2003 brought a great shock to China’s socio-economic development, but empirical studies on its long-term economic impact are relatively scarce. We use the outbreak of SARS as a quasi-natural experiment, employing city-level case data and listed firm data to study the impact of the pandemic on fixed investment. Compared with cities without SARS cases, firms in cities with SARS cases significantly increased their fixed investment by 26.4%. After conducting a series of endogeneity tests, represented by PSM-DID, our conclusions remain robust. Credit conditions in the affected cities were relaxed after the epidemic. This shift led to a notable decrease in firms’ financial constraints and burdens, thereby offering substantial financing support for fixed investments. To offset the losses endured during the epidemic, firms bolster their investment in high-risk projects. The results of our heterogeneity analysis also support the two mechanisms.

One Health, Global Health and Child Wellbeing: an integrated approach

The One Health approach is a transdisciplinary and integrated framework recognizing the interconnectedness between human, animal, and environmental health. Supported by organizations like WHO and the European Commission, it addresses global health challenges by promoting disease prevention, detection, and management. Originating from the SARS outbreak and the Manhattan Principles, One Health highlights the impact of environmental factors on health, particularly in childhood. Issues like climate change, deforestation, and urbanization drive the spread of zoonotic diseases, affecting vulnerable populations. Integrating environmental strategies, water sanitation (WASH), and public policy, One Health aims for sustainable, collaborative solutions to protect health across generations.

Emerging Infectious Disease Outbreak Response: Exploring the Sensemaking Process of an Expert Advisory Group

ABSTRACTThe COVID‐19 pandemic has highlighted the importance of crisis research, particularly in the response phase. This research explores long duration crisis sensemaking of an Expert Advisory Group (EAG) during an emerging disease outbreak which has implications for the conduct of COVID‐19 public inquiries. The members of the Ontario SARS Scientific Advisory Committee (OSSAC) for the 2003 SARS outbreak in Canada, provide the context for this study. Among their duties, these experts were tasked to write directives (mandated protocols) that govern all aspects of hospital life, such as the protocol for transferring SARS patients. Data were collected in multiple forms, including: public inquiry reports, meeting minutes, newspaper articles, and interviews. Following a constructivist grounded theory strategy, several iterations of data collection and analysis were completed. The findings include a conceptual framework that depicts the sensemaking process and illuminates the relationship between retrospective (after an event has occurred) and prospective (future‐oriented) sensemaking.

A Review on Characterization of SARS-COVID-19-2 Omicron (B.1.1.529) and JN.1 Variant of Concern and its Global Perspective

In this review, we summarize the researches on animal reservoirs of the SARS corona virus (SARS-CoV). Masked palm civets had been suspected because the foundation of the SARS outbreak in 2003 and turned into showed because the direct foundation of SARS instances with slight symptom in 2004. Sequence evaluation of the SARS-CoV-like virus in masked palm civets indicated that they had been exceedingly homologous to human SARS-CoV with, identification over 99.6%, indicating the virus has now no longer been circulating with inside the population of masked palm civets for a totally lengthy time. Alignment of 10 entire viral genome sequences from masked palm civets with the ones of human SARS-CoVs found out 26 conserved single- nucleotide variations (SNVs) with inside the viruses from masked palm civets. These conserved SNVs had been step by step misplaced from the genomes of viruses remoted from the early section to overdue section human sufferers of the 2003 SARS epidemic. In 2005, horseshoe bats had been recognized because the herbal reservoir of a set of corona viruses which can be distantly associated with SARS-CoV. The genome sequences of bat SARS-like corona virus had approximately 88–92% identification with that of the SARS-CoV. The incidence of antibodies and viral RNA in special bat species and the traits of the bat SARS-like corona virus had been elucidated. Apart from masked palm civets and bats, 29 different animal species were examined for the SARS-CoV, and the outcomes are summarized on this paper. Corona viruses (CoV) are a massive own circle of relatives of viruses inflicting a spectrum of sickness starting from the 22 not unusual place bloodless to greater intense illnesses as Middle East Respiratory Syndrome (MERS-CoV) and 23 Severe Acute Respiratory Syndrome (SARS-CoV). The current outbreak of corona virus sickness 24 2019 (COVID-19) has come to be a public fitness emergency worldwide. SARS-CoV-2, the virus 25 accountable for COVID-19, is unfolded through human- to-human transmission through droplets or direct 26contact.

A Unique mRNA Vaccine Elicits Protective Efficacy against the SARS-CoV-2 Omicron Variant and SARS-CoV.

The highly pathogenic coronaviruses SARS-CoV-2 and SARS-CoV have led to the COVID-19 pandemic and SARS outbreak, respectively. The receptor-binding domain (RBD) of the spike (S) protein of SARS-CoV-2, particularly the Omicron variant, has frequent mutations, resulting in the reduced efficiency of current COVID-19 vaccines against new variants. Here, we designed two lipid nanoparticle-encapsulated mRNA vaccines by deleting the mutant RBD of the SARS-CoV-2 Omicron variant (SARS2-S (RBD-del)) or by replacing this mutant RBD with the conserved and potent RBD of SARS-CoV (SARS2-S (SARS-RBD)). Both mRNA vaccines were stable at various temperatures for different time periods. Unlike SARS2-S (RBD-del) mRNA, SARS2-S (SARS-RBD) mRNA elicited effective T-cell responses and potent antibodies specific to both SARS-CoV-2 S and SARS-CoV RBD proteins. It induced strong neutralizing antibodies against pseudotyped SARS-CoV-2 and SARS-CoV infections and protected immunized mice from the challenge of the SARS-CoV-2 Omicron variant and SARS-CoV by significantly reducing the viral titers in the lungs after Omicron challenge and by completely preventing SARS-CoV-induced weight loss and death. SARS2-S (SARS-RBD)-immunized serum antibodies protected naïve mice from the SARS-CoV challenge, with its protective efficacy positively correlating with the neutralizing antibody titers. These findings indicate that this mRNA vaccine has the potential for development as an effective vaccine against current and future SARS-CoV-2 variants and SARS-CoV.

A cross-sectional study of SARS-CoV-2 antibodies among healthcare workers in a tertiary care hospital in Taiwan: implications for protection against the Omicron variants

BackgroundTaiwan, deeply impacted by the 2003 SARS outbreak, promptly implemented rigorous infection control and prevention (ICP) measures in January 2020 to combat the global COVID-19 pandemic. This cross-sectional serologic study was conducted among healthcare workers (HCWs) in a tertiary care hospital in Taiwan from August 1, 2022, to February 28, 2023. The study aimed to assess HCWs’ antibody responses to COVID-19 vaccination against Omicron subvariants BA.1, BA.4, and BA.5, considering variations in prior infection. Additionally, it evaluated the effectiveness of ICP and vaccination policies within the hospital setting in Taiwan.MethodsA cross-sectional serology study was conducted in Taiwan to investigate the seroprevalence rates of Omicron subvariants BA.1, BA.4, and BA.5 among HCWs. A total of 777 HCWs participated in this study. A structured questionnaire was collected to obtain the epidemiological characteristics and risk factors for potential exposure. Enzyme-linked immunosorbent assay was used to detect antibody responses. Serum samples were selected for protection against Omicron subvariants BA.1, BA.4, and BA.5 by using a pseudotyped-based neutralization assay.ResultsMore than 99% of the participants had received SARS-CoV-2 vaccination. Overall, 57.7% had been infected with SARS-CoV-2, with some being asymptomatic. The SARS-CoV-2 Anti-Spike S1 protein IgG (Anti-S) distribution was 40,000 AU/mL for 20.2% (157/777) of participants, with a mean ± standard deviation of 23,442 ± 22,086. The decay curve for Anti-S was less than 20,000 AU/ml after 120 days. The probability curve of 50% neutralization showed an Anti-S of 55,000 AU/ml. The optimum Anti-S was 41,328 AU/mL (equal to 5,869 WHO’s standard BAU/mL), with 86.1% sensitivity and 63.5% specificity.ConclusionsIn this significant study, 20.2% of HCWs achieved seroprotection against Omicron subvariants BA.1, BA.4, and BA.5. Their immunity against Omicron subvariants was further reinforced through recommended vaccinations and the development of natural immunity from SARS-CoV-2 exposure, collectively enhancing their protection against Omicron.

Leadership in times of natural crises-a systematic literature review

The topic of leadership comes with many elements of situational scenarios, one particular of interest is during times of natural crisis. Natural crisis affects businesses and people worldwide with varying effects. It is notable that leadership styles and other factors can lead a business either to success or failure based on their proactivity. To explore the area of leadership studies in times of natural crises, a systematic literature review was undertaken. The review of studies from past fifteen years revealed that there were a lot of studies on the topic of leadership. Out of those, only 34 articles published from 2005 to 2020 were found relevant to the topic under study. These were presented in the form of a systematic literature review of “Leadership in Times of Natural Crises”. The systematic literature review was done using PRISMA framework which is the most widely known method of conducting review. The main link between these articles, although each focusing on different areas of research, was the relationship between leadership styles and impact on organizational management during natural crises. The review of the 34 articles from Scopus database explored different leadership styles and theories with their impact on organizations. The resources grew substantially in relation to COVID-19 in 2020, which also highlights the importance of this topic as there were limited resources available in the last twenty years when exploring papers that studied the impact of leadership impact during SARS outbreak in 2003. The finding of this article highlights the gap in research on leadership studies, and particularly in relation to pandemics, or for a broader term, natural crises.

Investor Behavior in Gold, US Dollars and Cryptocurrency during Global Pandemics

COVID-19 and SARS are epidemics which have influenced the largest global economic crisis in recent years. This research reveals that both SARS and COVID-19 have led to fluctuations in the prices of gold and the US dollar index; however, there is no direct causal relationship be-tween COVID-19 and the price of bitcoin. The USD index saw a significant increase during the SARS outbreak, while gold prices surged during the COVID-19 pandemic. The notion that cryptocurrency will surpass the value of gold or traditional currencies seems improbable, given the lack of evidence linking bitcoin prices to COVID-19. Gold is expected to maintain its value in the long term, offering lower risk compared to other currencies.

The Impact of E-learning on Basketball Sport Education: A Comparative Study of Undergraduate Student in Shangrao Normal University

A shift toward e-learning as an alternate mode of instruction has resulted from the quick evolution of educational approaches in reaction to the Covid-19 pandemic. This research looks at how online education has affected basketball coaching and instruction for college-level students in Jiangxi, China, both before and after the SARS outbreak. This quantitative study investigates the relationship between students' adaptability to e-learning and factors such as delivery style, course material adaption, technological access, and student involvement. There are five different questions that are investigated in this study, ranging from the impact of e-learning on students' adaptability to the function of academic achievement as a mediator. The researchers will use a questionnaire to gather information from 250 college students in Jiangxi, split into two groups: those who have had experience with online education and those who have not. The results are expected to shed light on the efficacy of e-learning in the context of sports education, providing teachers, policymakers, and institutions with insights on how to best engage and motivate students in the wake of a global pandemic.

Broad protection against clade 1 sarbecoviruses after a single immunization with cocktail spike-protein-nanoparticle vaccine

The 2002 SARS outbreak, the 2019 emergence of COVID-19, and the continuing evolution of immune-evading SARS-CoV-2 variants together highlight the need for a broadly protective vaccine against ACE2-utilizing sarbecoviruses. While updated variant-matched formulations are a step in the right direction, protection needs to extend beyond SARS-CoV-2 and its variants to include SARS-like viruses. Here, we introduce bivalent and trivalent vaccine formulations using our spike protein nanoparticle platform that completely protect female hamsters against BA.5 and XBB.1 challenges with no detectable virus in the lungs. The trivalent cocktails elicit highly neutralizing responses against all tested Omicron variants and the bat sarbecoviruses SHC014 and WIV1. Finally, our 614D/SHC014/XBB trivalent spike formulation completely protects human ACE2-transgenic female hamsters against challenges with WIV1 and SHC014 with no detectable virus in the lungs. Collectively, these results illustrate that our trivalent protein-nanoparticle cocktail can provide broad protection against SARS-CoV-2-like and SARS-CoV-1-like sarbecoviruses.

Understanding China's shifting priorities andpriority-setting processes indevelopment assistance forhealth.

Over the past two decades, China has become a distinctive and increasingly important donor of development assistance for health (DAH). However, little is known about what factors influence China's priority-setting for DAH. In this study, we provide an updated analysis of trends in the priorities of Chinese DAH and compare them to comparable trends among OECD Development Assistance Committee (DAC) donors using data from the AidData's Global Chinese Development Finance Dataset (2000-2017, version 2.0) and the Creditor Reporting System (CRS) database (2000-2017). We also analyse Chinese medical aid exports before and after the start of the COVID-19 pandemic using a Chinese Aid Exports Database. We further explore the potential factors influencing China's shifting priority-setting processes by reviewing Chinese official documents following Walt and Gilson's policy analysis framework (context-actors-process-content) and by testing our conjectures empirically. We find that China has become an important DAH donor to most regions if measured using project value, including but not limited to Africa. China has prioritized aid to African and Asian countries as well as to CRS subsectors that are not prioritized by DAC donors, such as medical services and basic health infrastructure. Chinese quarterly medical aid exports almost quintupled after the start of the COVID-19 pandemic. Noticeably, China has allocated more attention to Asia, eye diseases and infectious disease outbreaks over time. In contrast, the priority given to malaria has declined over the same period. Regarding factors affecting priority shifts, the outbreaks of SARS and Ebola, the launch of the Belt and Road Initiative and the COVID-19 pandemic appear to be important milestones in the timeline of Chinese DAH. Unlike stereotypes of China as a 'lone wolf' donor, our analysis suggests multilateral processes are influential in informing and setting Chinese DAH priorities.

An Epidemic Model with Infection Age and Vaccination Age Structure.

A model of epidemic dynamics is developed that incorporates continuous variables for infection age and vaccination age. The model analyzes pre-symptomatic and symptomatic periods of an infected individual in terms of infection age. This property is shown to be of major importance in the severity of the epidemic, when the infectious period of an infected individual precedes the symptomatic period. The model also analyzes the efficacy of vaccination in terms of vaccination age. The immunity to infection of vaccinated individuals varies with vaccination age and is also of major significance in the severity of the epidemic. Application of the model to the 2003 SARS epidemic in Taiwan and the COVID-19 epidemic in New York provides insights into the dynamics of these diseases. It is shown that the SARS outbreak was effectively contained due to the complete overlap of infectious and symptomatic periods, allowing for the timely isolation of affected individuals. In contrast, the pre-symptomatic spread of COVID-19 in New York led to a rapid, uncontrolled epidemic. These findings underscore the critical importance of the pre-symptomatic infectious period and the vaccination strategies in influencing the dynamics of an epidemic.

Joining Hands to Manage Transboundary Crises: A Comparative Evaluation of Policy Collaboration for Epidemic Prevention in China during SARS and COVID-19.

Increasing transboundary crises necessitate the development of crisis management capabilities that transcend boundaries. In such situations, inter-governmental and cross-functional collaboration has become a common practice to address the complexities of governance challenges. This study employs Social Network Analysis to examine the structure, function, and evolution of policy collaboration networks in China in response to COVID-19 and SARS. Since the SARS outbreak, China has embraced a collaborative governance approach, considering the transboundary nature of COVID-19. This approach has led to the involvement of numerous specialized organizations engaged in economic and social development, contributing to the establishment of a larger and more loosely connected collaboration network. While the health department bears the primary responsibility for coordinating public health emergency management, diverse organizations with social governance and economic management functions have also emerged as key actors, providing crucial anti-epidemic information, knowledge, and resources to address this significant cross-border crisis.

Risk Management for Whole-Process Safe Disposal of Medical Waste: Progress and Challenges.

Over the past decade, the global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed the insufficient capacity for emergency disposal of medical waste in numerous countries and regions. Particularly during epidemics of major infectious diseases, medical waste exhibits new characteristics such as accelerated growth rate, heightened risk level, and more stringent disposal requirements. Consequently, there is an urgent need for advanced theoretical approaches that can perceive, predict, evaluate, and control risks associated with safe disposal throughout the entire process in a timely, accurate, efficient, and comprehensive manner. This article provides a systematic review of relevant research on collection, storage, transportation, and disposal of medical waste throughout its entirety to illustrate the current state of safe disposal practices. Building upon this foundation and leveraging emerging information technologies like Internet of Things (IoT), cloud computing, big data analytics, and artificial intelligence (AI), we deeply contemplate future research directions with an aim to minimize risks across all stages of medical waste disposal while offering valuable references and decision support to further advance safe disposal practices.

Early childhood SARS experience leads to long-lasting impacts on adulthood mental health in China

The association between pandemic experience and immediate mental health risks, such as depression, is well-documented, yet the long-term effects remain unclear. This study examines the impact of early childhood exposure to the 2003 SARS pandemic on adulthood mental health after 17 years in China, using data from the 2020 China Family Panel Studies (CFPS). The analysis included 6289 participants, aged 3 to 30 years during the SARS outbreak, with an average age of 35.3 years at the time of survey. Adulthood mental health was assessed using Center for Epidemiologic Studies Depression Scale (CESD) and an indicator of clinical depression. The severity of local SARS outbreaks was assessed by cumulative cases per 10,000 population. Results show that each additional case per 10,000 population was linked to a 1.617-fold (95% confidence interval (CI): 1.425–1.836) increase in odds of depression after 17 years for younger children (aged 3–12 years in 2003) relative to older cohorts (aged 13-30). This risk was higher in children from rural areas (adjusted odds ratio (aOR) 3.64; 95% CI 2.92–4.55), with poor physical health (1.98; 1.59–2.48), and from low-income families (2.87; 2.03–4.05). The childhood pandemic experience elevated the probability of developing depression-prone personality traits, which contributes to the enduring impact of childhood pandemic experiences on adulthood mental health. These findings highlight the long-lasting psychological impact of early-childhood pandemic exposure, underscoring the need for targeted interventions to mitigate its effects on the younger generation and emphasizing the importance of monitoring long-term mental health and personality development in children post-pandemics, particularly in light of COVID-19.

Impact of Pandemic on Foreign Direct Investment - A Study from Global Perspective

Abstract: The global economic landscape has been significantly influenced by health pandemics, leading to heightened uncertainties. Using data from past epidemics and economic downturns, this research paper examines the repercussions of these health crises on global economies. Prominent among these health crises is the 1918 influenza epidemic, which Garrett (2008) reveals had severe impacts on investment, human capital, and consumer behaviour. In more recent history, the SARS outbreak in 2003, as analysed by Lee and McKibbin (2004), cost the world an estimated USD 40 billion, highlighting the tangible economic costs of health pandemics. COVID-19, emerging at the end of 2019, has created another layer of global economic uncertainty. Containment measures such as lockdowns and social distancing have led to a ripple effect, causing a downturn in various economic sectors. To better understand the scale of this uncertainty, this study employs the newly developed World Pandemic UncertaintyIndex (WPUI) – a tool introduced in 2020 specifically to measure the economic and political uncertainties introduced by pandemics.A crucial focus of the research is the impact of health pandemics on Foreign Direct Investment (FDI). FDI, a major non-debt financial resource, plays an instrumental role in the economic development of nations. It introduces technical know- how, generates employment, and can be seen as a barometer of a country's economic health. Using the WPUI, the study investigates the consequences of health pandemics on FDI in 142 countries from 1996 to 2019. It identifies patterns in different regions and economic brackets,adding new insights to existing literature. The COVID-19 pandemic has significantly impacted global foreign direct investment (FDI), causing disruptions in both inflows and outflows across countries and regions. This study, drawing from quantitative data from the World Bank and UNCTAD and qualitative insights from FDI experts, examines the extent and nature of this impact from 2019-2023. Results indicate a pronounced decline in FDI flows in 2020 and 2021, with varying impacts based on regional development, economic structures, and exposure to the pandemic. Factors such as digitalisation, diversification, and cooperation have influenced these FDI trends. This researchoffers valuable insights for policymakers navigating the post-pandemic FDI landscape, emphasising the need for further studies on the long-term effects of the pandemic on FDI dynamics. The study further narrows down its focus to India, analysing the FDI trends before and after the advent of COVID-19. Secondary data sources, including RBI bulletins and economic survey reports, provide insights into FDI equity inflows during the pandemic. Preliminary results suggest a considerable dip in FDI equity inflows at the onset of the pandemic. However, there's a noticeable recovery in the second quarter of FY-20, aided in part by significant investments, such as Google's $10 billion injection into the Indian market.In light of these findings, the study offers several solutions to mitigate the impact of pandemics on FDI. These range from promoting investment stability, diversifying investment promotion, and supporting digital transformations, to ensuring global health preparedness and implementing robust economic recovery plans. Effective execution of these strategies, tailored to a country's specific needs, can create an environment more receptive to foreign investment

Data-driven adaptive testing resource allocation strategies for real-time monitoring of infectious diseases

Since 2002, with the SARS outbreak, infectious diseases, including the ongoing COVID-19 pandemic, have continued to be a major global public health threat. It is critical to develop effective data science methods to quickly detect disease outbreaks and contain their rapid globalized spread. However, in practice, limited testing availability, and thus insufficient testing data poses significant challenges in effective analysis and real-time monitoring of infectious diseases, especially during early stages of a novel disease outbreak. To tackle these challenges, this article proposes adaptive testing resource allocation strategies integrated with a physics-informed model to dynamically allocate limited testing resources across different communities. The physics-informed model accounts for transmission dynamics and health disparities, enabling effective health risk assessment despite limited data. By integrating nonstationary Multi-Armed Bandit techniques that strike superior balance between exploring the communities with high uncertain risks and exploiting those with high risk levels, the proposed methodology facilitates test allocation to collect high-quality testing data for early outbreak detection. Theoretical analysis is carried out to evaluate the performance of the proposed allocation strategies, ensuring either sublinear or linear dynamic pseudo-regret under regularity assumptions. A comprehensive simulation study is conducted under three transmission scenarios to thoroughly evaluate the proposed methodology.