Introduction
Since its emergence in December 2019, COVID-19 has had a profound impact on global health, societies, and economies.Reference Nicola, Alsafi and Sohrabi 1 Governments worldwide adopted various public health measures, including lockdowns, travel restrictions, mask mandates, remote learning, and quarantine protocols. Reference Patiño-Lugo, Vélez and Velásquez Salazar2–Reference Askitas, Tatsiramos and Verheyden4 However, differences in health care capacity, governance models, and cultural norms led to considerable variation in national responses. While initial measures helped limit viral spread, the emergence of more transmissible and immune-evasive variants—such as Delta and Omicron—posed new challenges to containment efforts and contributed to rising case numbers and breakthrough infections.Reference Tian, Sun and Zhou 5
Meanwhile, unprecedented global collaboration enabled the rapid development and deployment of COVID-19 vaccines. By December 2020, vaccines such as Pfizer-BioNTech and Oxford-AstraZeneca had received Emergency Use Authorization, showing high efficacy rates above 90% in clinical trials. Reference Polack, Thomas and Kitchin6,Reference Baden, El Sahly and Essink7 Despite these advances, the high mutation rate of SARS-CoV-2 raised concerns over long-term vaccine effectiveness.Reference Ravi, Saxena and Panda 8 As countries faced successive waves of infection, questions remained about the real-world impact of various control strategies and the durability of vaccine-induced protection.Reference Keyel, Russell and Plitnick 9 This study analyzes the trajectory of the COVID-19 pandemic in 6 countries between January 2020 and December 2022. It examines infection rates, mortality rates, hospitalization rates, and ICU occupancies in the context of varying restriction strategies, vaccination rates, and prevalence rates. The aim is to evaluate the implementation effects of these measures and their influencing factors, providing evidence-based insights for future pandemic preparedness.
Methods
Data Acquisition
The data for this study were sourced from the “Our World in Data” database (https://ourworldindata.org/coronavirus), a comprehensive repository of global indicators related to the COVID-19 pandemic, recognized for its extensive authority and reliability. The study encompasses COVID-19 data from 6 countries—the USA, the UK, China, Russia, Japan, and South Africa—spanning January 2020 to December 2022. These countries were selected to represent diverse geographical regions, levels of economic development, health care system capacities, and public health policy approaches, ensuring a comprehensive reflection of global variations in pandemic responses. Additionally, the focus on countries with larger populations and significant pandemic impacts enhances the representativeness and statistical robustness of the findings.
Variables and Terms
Variables
The study employs a range of epidemiological variables, including new cases per million, new deaths per million, total cases per million, total deaths per million, ICU patients per million, hospitalized patients per million, and excess mortality. Intervention-related metrics encompass total vaccinations per hundred, COVID-19 variants, and the Stringency Index (SI), a composite metric derived from the Oxford COVID-19 Government Response Tracker to assess the rigor of nonpharmaceutical interventions (e.g., lockdowns and social distancing) enacted by each country. Variable definitions are drawn from the dataset available at https://github.com/owid/covid-19-data/tree/master/public/data/.
Terms
Adaptive Leadership: Adaptive leadership is a practical approach to mobilizing individuals to effectively deal with challenges in volatile, uncertain, complex, and ambiguous conditions. It encourages change at individual, organizational, and societal levels, emphasizing flexibility, creativity, and learning.Reference Georgiadou and Hoidn 10
Command-and-Control Model: A traditional hierarchical decision-making and management structure that emphasizes top-down directives, centralized authority, and standardized procedures, aimed at rapid and efficient execution of established tasks.
Organizational Behavior: Organizational behavior is a multidisciplinary field that examines human behavior within organizations, drawing from various social sciences.Reference Waller 11
Policy Fatigue: The phenomenon where the public or specific groups exhibit a gradual decline in compliance, support, and willingness to cooperate under prolonged or repetitive policy implementation.Reference Petherick, Goldszmidt and Andrade 12
Data Analysis
This study aims to analyze the transmission dynamics, health care burden, and combined effects of SI, vaccination, and viral variants on COVID-19 indicators across 6 countries. Statistical analyses were conducted via R software (version 4.4.1). For continuous variables, normality tests indicated a departure from a normal distribution in most cases; thus, these variables were summarized using medians and interquartile ranges (IQRs). Group comparisons of continuous variables were performed via the Kruskal–Wallis test. Regression analyses employed both univariate and multivariate generalized linear models (GLMs) to assess the relationships between the SI and vaccination with outcomes such as hospital admissions, ICU occupancy, and excess mortality. Model 1 represents an unadjusted model, whereas Model 2 adjusts for either the SI or vaccination status.
To handle missing values in the raw data, linear interpolation was applied when the proportion of missing data was less than 20%; records with more than 50% missing data were excluded from the analysis. Additionally, data on variant proportions were merged with the primary indicators by date and country to create a comprehensive dataset. The monthly proportions of major variants (e.g., Alpha, Delta, Omicron BA.1, and BA.5) were included as variables.
Results
Comparison of the Baseline Characteristics of COVID-19 Outbreaks Across Countries
To characterize the COVID-19 pandemic across 6 countries from January 2020 to December 2022, key indicators were summarized using medians and IQRs (Table 1). Median total cases per million was 24,164 (IQR: 871-87,990), highest in the USA (97,561) and lowest in China (83). Total deaths per million had a median of 484 (IQR: 13-1,773), ranging from 2,266 in the UK to 4 in China. Hospitalizations per million (median: 103, IQR: 64-172) peaked in the UK (116) and were lowest in Japan (74); ICU patients per million (median: 12, IQR: 6-27) were highest in the USA (27) and lowest in Japan (6). Data for both indicators were unavailable for China and Russia. Vaccinations per hundred averaged 126 (IQR: 58-199), highest in China (211) and lowest in South Africa (54). Excess deaths per 100,000 had a median of 91 (IQR: 3-293), highest in Russia (403) and lowest in Japan (–2). The Stringency Index (median: 48, IQR: 34-69) was highest in China (79) and lowest in Japan (41). Trends are shown in Figure 1.
Baseline characteristics of COVID-19 outbreaks across countries

Notes:
a Median (Q1, Q3).
b Kruskal-Wallis rank sum test.
Differences were considered significant at the P < 0.05 level.
The total number of cases, deaths, hospitalizations, ICUs, vaccinations, and excess deaths in the 6 countries over the 3 years of the epidemic.

Association of the SI With New Cases and Excess Mortality
To examine the associations between the SI and new cases per million across the 6 countries, we employed GLMs (Table 2). Model 1, unadjusted for confounders, revealed a negative association in China (β = −40, P = 0.015), suggesting that stricter measures may reduce case incidence, whereas South Africa exhibited a positive association (β = 9.2, P < 0.001). No associations were observed in Japan, Russia, the UK, or the USA (P = 0.15, 0.9, 0.6, and 0.4, respectively). In Model 2, adjusted for total vaccinations per hundred, China’s negative association strengthened (β = −311, P < 0.001), reinforcing the protective effect of stringent measures. Conversely, the UK, the USA, and South Africa showed positive associations (β = 378, 189, and 24, respectively, P < 0.001), whereas Japan and Russia remained nonsignificant (P > 0.05).
Stringency Index association with new cases (per million) and excess deaths (per 10,000)

Model 1: No confounding factors were adjusted.
Model 2: Adjusted for total vaccinations per hundred.
Differences were considered significant at the P < 0.05 level.
CI, Confidence interval.
We further investigated the association between the SI and excess mortality (Table 2). In Model 1, China exhibited a weak positive association (β = 0.6, P = 0.003), whereas Japan, Russia, the UK, the USA, and South Africa showed negative associations (β = −1.1, −12, −1.6, −4.2, and −5.8, respectively; P < 0.001 or P = 0.002), suggesting that stricter measures are associated with a lower excess mortality. In Model 2, China, Japan, Russia, and the USA displayed significant negative associations (β = −0.9, −3.4, −1.3, and −1.6, respectively; P < 0.001), reinforcing the protective effect of stringent interventions, whereas the UK and South Africa showed no significant relationship (P > 0.05). These findings highlight the heterogeneous effects of stringency across countries.
Relationship Between Vaccinations and Hospitalized and ICU Patients
Due to unavailable data for China and Russia, the association between vaccination rates and hospitalization was assessed in four countries (Table 3). In Model 1, unadjusted for confounders, the USA (β = −0.70, P < 0.001) and South Africa (β = −1.60, P < 0.001) showed negative associations, indicating that higher vaccination levels were associated with fewer hospitalizations. The UK showed a marginally negative association (β = −0.13, P = 0.05), whereas Japan exhibited a significant positive association (β = 0.33, P < 0.001). In Model 2, adjusted for the SI, the USA and the UK shifted to positive associations (β = 1.00 and 1.20, respectively, P < 0.001). South Africa remained negative (β = –0.59, P < 0.001), though the effect weakened, and Japan became nonsignificant(β = 0.23, P = 0.067). These results highlight the heterogeneous relationship between vaccination and hospitalization across countries.
Total vaccinations (per hundred) association with hospitalized patients (per million) and ICU patients (per million)

Model 1: No confounding factors were adjusted.
Model 2: Adjusted for Stringency Index.
Differences were considered significant at the P < 0.05 level.
CI, Confidence interval.
We then examined associations between vaccination and ICU occupancy (Table 3). In Model 1, the USA, the UK, and South Africa presented negative associations (β = −0.24, −0.12, and −0.31, respectively, P < 0.001), suggesting that increased vaccination was linked to reduced ICU burden, whereas Japan presented no significant association (P > 0.05). In Model 2, the USA and South Africa shifted to positive associations (β = 0.23 and 0.31, respectively, P < 0.001); the UK displayed a weaker but positive association (β = 0.06, P = 0.007), whereas Japan remained nonsignificant (P > 0.05). These findings suggest a complex and context-dependent relationship between vaccination and ICU occupancy, potentially moderated by stringency measures.
SARS-CoV-2 Variants and Hospitalization/ICU Trends
We examined the temporal relationship between SARS-CoV-2 variants and hospitalization rates from August 2020 to August 2022 in the USA, UK, Japan, and South Africa (Figure 2). In the USA, the early dominance of Alpha and Delta variants (mid-2020 to mid-2021) coincided with hospitalization peaks exceeding 300 per million, followed by Omicron subvariants (BA.1, BA.2, BA.5) dominating from late 2021, with a peak above 400 per million, after which rates declined to approximately 100 per million. The UK exhibited a similar pattern, with Alpha driving high hospitalization rates of over 480 per million in early 2021, followed by Omicron subvariants (BA.1, BA.2, and BA.5), which peaked at approximately 240 per million during this period before gradually declining. Japan showed smaller but corresponding peaks across variant transitions. South Africa displayed a distinct pattern, with Beta and Delta dominating early (2020-2021) and peaking at 240 per million, followed by Omicron subvariants (BA.1, BA.2, BQ.1), which declined sharply to around 60 per million by 2022.
Relationships between hospitalization and SARS-CoV-2 variants in the USA, UK, Japan, and South Africa.

ICU trends showed similar dynamics (Figure 3). In the USA, periods dominated by the Delta and Omicron BA.1 variants were associated with ICU peaks nearing 80 per million, followed by Omicron subvariants (BA.2, BA.5), with ICU rates declining to approximately 10 per million by mid-2022. The UK experienced an ICU peak of approximately 90 per million during Alpha dominance in early 2021, followed by a slight increase during Delta prevalence and a gradual decline during Omicron subvariants (BA.1, BA.2, and BA.5). In Japan, ICU trends mirror hospitalization patterns. In South Africa, the Beta and Delta regions dominated in the early years (2020-2021), with the highest ICU incidence of 40 per million, followed by the Omicron subvariant (BA.1, BA.2, BQ.1), which fell below 10 per million by 2022. The timing and magnitude of hospitalization and ICU peaks varied, likely reflecting differences in variant spread and health care system capacity.
Relationships between ICUs and SARS-CoV-2 variants in the USA, UK, Japan, and South Africa.

Discussions
To explore the diverse outcomes of national COVID-19 responses, this study examines how differences in restrictive policies, vaccination coverage, and predominant circulating SARS-CoV-2 variants across 6 countries are associated with variations in infection rates, excess mortality, hospitalization rates, and ICU occupancy. The USA and the UK represent Western developed nations with advanced health care systems, although policy implementation varies due to federal structures and political divergences, while China’s stringent “zero-COVID” policy exemplified centralized governance. Russia and South Africa, representing transitional and developing economies, encountered resource constraints, and Japan’s efficient public health system showcased moderate, adaptive measures. To better understand the governance logic and outcome differences behind national pandemic policies, this study adopts the adaptive leadership framework proposed by Heifetz and Northouse, which emphasizes collaboration, flexibility, and stakeholder empowerment over hierarchical command-and-control models. Reference Heifetz, Grashow and Linsky13,Reference Northouse14 Using this framework, the study explores the role of adaptive leadership across the preparedness, response, and recovery stages of the pandemic, with the aim of providing both theoretical insights and practical guidance for future public health crisis management.
In the preparedness phase of a pandemic, adaptive leadership emphasizes proactive monitoring of global health trends, identifying vulnerabilities in public health infrastructure, and promoting the establishment of cross-sectoral collaboration mechanisms.Reference Powell, Orttung and Topkok 15 Inadequate investment in public health infrastructure in the USA, longstanding health inequities, and socioeconomic factors exacerbate the USA’s vulnerability to the pandemic.Reference Maani and Galea 16 Additionally, the decentralized nature of the USA response led to substantial policy variations across states, with the federal government prioritizing economic support and research funding over a unified testing and population surveillance system.Reference Bergquist, Otten and Sarich 17 This partly explains the phenomenon observed in our data, where the USA ranks among the highest in both infection and death rates. Similarly, globally, health care systems faced immense pressure during the pandemic, as the surge in demand for inpatient and outpatient care exacerbated resource shortages and inadequate patient care coverage.Reference Cohen, Pignata and Bezak 18 Take the UK as an example. Its high total number of infections and mortality rate may be influenced by a combination of the following factors: limited early vaccination coverage, an aging population (93% of deaths occur among people over 60 years old), and tight medical resources.Reference Brown, Heinsbroek and Kall 19 These circumstances collectively highlight the urgent need to strengthen public health infrastructure, promote cross-sectoral collaboration, and develop coordinated and consistent response strategies. Compared with other countries, Japan achieved a Healthcare Access and Quality (HAQ) Index score of 94 out of 100, ranking 12th globally. With 13.2 hospital beds per 1,000 people, 20 its efficient health care system and strong public health response capacity partly explain the relatively high ICU occupancy and low excess mortality. Japan’s experience serves as a model for the importance of proactive investment, cross-sectoral collaboration, and systematic preparedness in crisis governance. It highlights the value of establishing robust infrastructure and multi-agency coordination mechanisms before a crisis occurs.
At the same time, adaptive leadership emphasizes adjusting strategies in response to environmental changes to address evolving challenges.Reference Laur, Agarwal and Mukerji 21 For example, vaccine development and deployment played a central role in the response to COVID-19, demonstrating a high level of global scientific collaboration and organizational adaptability. Several countries completed vaccine development and obtained emergency use authorization within an exceptionally short timeframe, providing a crucial intervention to reduce the risks of severe illness and mortality.Reference Mohammed, Nauman and Paul 22 The unadjusted models in this study show a significant negative correlation between vaccination rates and the number of hospitalized and ICU patients in the USA and South Africa, indicating that vaccines effectively reduced the burden on health care systems, consistent with their expected protective effects. However, the protective effect of vaccines wanes over time. For instance, 25 weeks after receiving 2 doses of ChAdOx1, BNT162b2, or mRNA-1273 vaccines, protection against symptomatic disease caused by the Delta variant remains at 40-80%, but drops below 20% for the Omicron variant.Reference Andrews, Stowe and Kirsebom 23 This dynamic process highlights the critical role of adaptive leadership in public health responses. Especially in the face of viral mutations and immune evasion, organizations must continuously adjust their strategies and strengthen efforts in vaccine updates and booster promotion to ensure sustained protection and systemic resilience.Reference Branch-Elliman, Elwy and Chambers 24 Moreover, adaptive leadership also places strong emphasis on crisis communication and public trust. Recent applications of situational crisis communication theory suggest that insufficient transparency or delayed information can significantly undermine public cooperation.Reference Gallotti, Valle and Castaldo 25 Therefore, establishing communication mechanisms that are transparent, timely, and trustworthy is essential for enhancing system resilience and public responsiveness—making it a core element of effective public health governance.
During the response phase of the COVID-19 pandemic, governments’ ability to adapt policies flexibly and balance centralized and decentralized decision-making directly influenced their capacity to withstand the crisis and adapt strategically.Reference Janssen and van der Voort 26 Our data show that China’s SI was significantly negatively associated with the number of new infections and excess deaths, reflecting to some extent the effectiveness of the command-and-control governance structure in the early stages of the pandemic. By implementing grid-based control strategies—such as citywide lockdowns, household screenings, and centralized quarantines—China was able to curb virus transmission effectively in the short term.Reference Wei, Ye and Cui 27 This experience underscores the potential advantages of centralized coordination and rapid response in pandemic control, offering valuable insights for understanding epidemic trajectories and evaluating the effectiveness of intervention measures. In contrast, Japan’s COVID-19 response relied on voluntary restrictions and stringent border controls, avoiding mandatory lockdowns.Reference Kodama, Campbell and Tanaka 28 The effectiveness of its response was supported by high levels of public cooperation, a cultural emphasis on collective responsibility, and widespread adherence to protective measures such as mask-wearing. Reference Kodama, Campbell and Tanaka28,Reference Song and Karako29 This aligns with Heifetz’s concept of “giving the work back to the people,” where local communities are empowered with autonomy and collaborate with an efficient public health system to flexibly address pandemic challenges.Reference Heifetz, Grashow and Linsky 13 Our data also indicated that Japan recorded the lowest excess mortality rate among the compared countries (−2 per 100,000), reflecting the effectiveness of its strategy.
The continuous evolution of the virus has made ongoing surveillance of its variants especially critical. Studies indicate that the Alpha, Beta, Gamma, Delta, and Omicron variants exhibit greater transmissibility and potentially higher pathogenicity than the wild-type strain does.Reference Chakraborty, Sharma and Bhattacharya 30 Our data further indicate that between mid-2020 and mid-2021, the Alpha and Delta variants became the dominant strains in the USA and the UK, significantly contributing to increased hospitalization and ICU admission rates. Since late 2021, Omicron has demonstrated a 10-20% higher transmission rate than the Delta variant, along with notable immune escape potential.Reference Fan, Li and Zhang 31 Under its influence, the hospitalization rate in the USA rose to approximately 400 cases per million people, with similar rebounds observed in the United Kingdom, Japan, and South Africa.
During the response phase of pandemic control, challenges arising from social factors are equally significant. The effectiveness of response efforts largely depends on the actual implementation of policies and the level of public compliance. In Western countries, some individuals resist preventive measures because of cultural beliefs (e.g., viewing masks as restrictions on personal freedom) or religious convictions. Reference Chen and Biswas32,Reference Duarte, Moro and Ferreira da Silva33 In China, population demographics influence compliance, with middle-aged individuals showing greater adherence to mask-wearing and temperature checks but lower compliance with household isolation.Reference Xu, Chew and Xu 34 Notably, Japan achieved effective epidemic control despite maintaining a relatively low SI, likely due to high levels of self-discipline and public adherence to health measures. This underscores the vital role of public cooperation in policy execution and aligns with the view proposed by Yukl and colleagues that trust plays a critical role in enhancing organizational adaptability and response effectiveness.Reference Chen and Sriphon 35
Vaccination has played a critical role in controlling the COVID-19 pandemic, yet its rollout has faced numerous social and economic challenges. According to the USA Centers for Disease Control and Prevention (CDC), global vaccine distribution inequities have posed challenges for low-income countries, driven by supply shortages, logistical barriers, and public vaccine hesitancy.Reference Zibadi, Samieefar and Sodeifian 36 Differences in national vaccination strategies have further influenced the effectiveness of pandemic control. In China, high vaccination coverage combined with strict nonpharmaceutical interventions created a dual protection mechanism that effectively reduced the infection rate and excessive mortality rate. In contrast, South Africa’s vaccination coverage was lower, primarily constrained by limited vaccine access, challenges in cold-chain logistics, and public concerns over vaccine safety, potentially leading to insufficient protection against viral variants and increasing risks of severe illness and mortality. Reference Cooper, van Rooyen and Wiysonge37,Reference Kahn, Pettifor and Mataboge38 Furthermore, studies have reported rare adverse effects associated with vaccination, such as myocarditis, immune thrombocytopenia (ITP), and autoimmune hepatitis, which have heightened public concerns about vaccine safety, potentially indirectly affecting vaccination uptake and pandemic control outcomes. Reference Hines, Shen and Olazagasti39–Reference Zhou and Ye41
In the recovery stage, analyzing long-term health (e.g., long COVID-19), economic (e.g., unemployment), and social (e.g., mental health) impacts was crucial. Reference McDaid42,Reference Vartanian, Fish and Kenton43 China’s command-and-control model was effective in curbing virus transmission during the initial phase of the outbreak; however, this highly centralized crisis response approach also brought certain negative consequences. On one hand, prioritizing a vast amount of resources for COVID-19 control may have led to the neglect of other routine health care needs, thereby increasing the risk of non-COVID-related mortality. Our findings align with existing research suggesting that resources in centralized crisis responses are often allocated reactively rather than proactively.Reference Silva, Souza and Roquete 44 On the other hand, prolonged implementation of stringent measures (e.g., lockdowns, mandatory isolation) may adversely impact the mental health of vulnerable groups (such as children, women, and the elderly), as well as economic stability, education, and food security, Reference O’Connor, Wetherall and Cleare45,Reference Onyeaka, Anumudu and Al-Sharify46 potentially leading to unsustainable policy enforcement. This aligns closely with organizational behavior research on “policy fatigue,” reflecting considerations in disaster leadership regarding the balance between action and social costs.Reference Harvey 47 The supplemental data (Table S1) indicate that, except for China, the SI in other countries declined in 2021, reflecting a shift away from prolonged high-pressure control strategies. In this context, introducing the concept of adaptive leadership can help address the limitations of the traditional command-and-control model by enhancing the flexibility and sustainability of pandemic policies.
The unequal distribution of resources during the recovery phase has further widened disparities between countries and population groups. The surge in hospitalization demand, export restrictions on personal protective equipment, and disruptions in global supply chains during the pandemic collectively strained medical resources worldwide.Reference Yin, Song and Wang 48 In resource-limited settings such as South Africa, these shortages further weakened the effectiveness of containment measures and increased mortality risks. Such resource constraints not only reflect the disparities in public health capacity between nations but also highlight a fundamental challenge in disaster response—how to achieve equitable and efficient resource allocation during crises.Reference Garavaglia, Sancino and Trivellato 49 Therefore, ensuring fairness in resource distribution—particularly by supporting regions with weak health care systems—will be a critical step toward achieving sustainable global public health security in the post-pandemic recovery.
As summarized in Table 4, adaptive leadership played distinctive roles during different pandemic stages. Cross-national variations in vaccination coverage and policy stringency underscore the critical value of adaptive leadership in resource coordination and responsiveness to societal feedback. China established a dual defense mechanism by combining high vaccination rates with strict lockdowns, while South Africa, constrained by logistical and resource limitations, experienced insufficient vaccine coverage. In the USA, the federal system led to inconsistent containment strategies and uneven vaccine rollout progress. Vaccine hesitancy and a lack of public trust also hindered the response in several countries, highlighting the importance of community engagement and transparent communication. Japan achieved low infection rates through voluntary restrictions, exemplifying an adaptive governance approach rooted in social empowerment. However, the prolonged use of high-intensity measures also led to “policy fatigue,” with adverse effects on mental health and socioeconomic stability. These cases illustrate that adaptive strategies must be tailored to specific contexts and evolving conditions, while also maintaining a dynamic balance between the effectiveness of interventions and their social costs—an essential condition for building a more resilient system of public health governance.
Role of adaptive leadership in COVID-19 pandemic stages

Despite providing insights into the COVID-19 response strategies and their outcomes across six countries, this study has several limitations that may affect the interpretation and generalizability of the findings. First, the study primarily relies on data from the “Our World in Data” database, which may be subject to reporting biases. Variations in case definitions, testing capacities, and mortality reporting standards across countries may compromise the comparability of the data. The previous study has demonstrated substantial underreporting and undertesting in several countries, including France, Spain, and Italy.Reference Lau, Khosrawipour and Kocbach 50 Second, due to data availability constraints, the study did not fully adjust for confounding factors, such as environmental conditions, population density, health care infrastructure, and public trust in government. These factors may influence the effectiveness of public health interventions. Third, the SI, used as a measure of policy intensity, has intrinsic limitations. It is derived solely from the formal content of policy documents and does not account for the actual level of enforcement or public compliance. Future research should aim to reduce reporting bias through multi-source data validation, such as hospital records, serological surveys, control for confounding factors using multivariate analysis, and incorporate measures of policy implementation and public compliance. Extending the study period could help capture long-term trends of public health interventions.
Conclusions
Integrating the principles of adaptive leadership with the traditional command-and-control model is essential for enhancing global public health emergency preparedness. Countries should promote cross-sectoral collaboration, strengthen transparency, and encourage public engagement to build flexible and adjustable response mechanisms capable of adapting to the evolving uncertainties of a pandemic. The experience of vaccine development and deployment illustrates that scientific advancement must go hand in hand with public trust. Policymakers should strive to balance response efficiency with social costs, thereby fostering a more resilient and inclusive governance system.
Supplementary material
The supplementary material for this article can be found at http://doi.org/10.1017/dmp.2025.10286.
Acknowledgments
We sincerely thank Our World in Data for continuously collecting, organizing, and freely providing global COVID-19-related data, which offered crucial foundational data support for the successful execution of this study.
Author contribution
Hao Zhou: Methodology, software, writing—original draft, writing—review and editing, visualization. Qing Ye: Writing—review and editing, data curation, conceptualization, supervision, project administration.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Funding statement
Not applicable.
Competing interests
The research intent is exclusively to contribute academic discourse and strategic insights for combating emergent infectious diseases, and must not be employed as a benchmark for assessing the efficacy of extant or prior epidemic prevention measures. All entities and individuals are obliged to interpret these results judiciously; any application detached from the research framework or utilized for inappropriate aims is expressly forbidden.