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      Unveiling Disease X: Strategies for Tackling the New Frontier of Infectious Diseases

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            Abstract

            Disease X stands as a symbol for a subset of emerging infectious diseases rising to prominence as a significant challenge to global health security. This comprehensive review delves into the historical context, precise definition, and illustrative case studies of disease X, including notable examples, such as COVID-19, SARS, and Ebola. The discussion then transitions to an examination of the potential origins of disease X, with a particular focus on zoonotic pathways and the influence of environmental factors. The review concludes with a suite of proposed strategies aimed at the prevention and containment of disease X, emphasizing the critical role of vigilant surveillance, swift response mechanisms, and the necessity of fostering international cooperation.

            Main article text

            INTRODUCTION

            As we explore the extensive annals of medical literature on unknown diseases, the terms “X disease” and “disease X” frequently emerge, each carrying distinct implications. X disease typically refers to a specific illness or condition that has been identified and named, with X signifying the actual name of the disease. The earliest recorded mention of an X disease dates back to 1920 [1], detailing the epidemiology of acute encephalomyelitis in Australia. In contrast, Disease X is a broader concept introduced by the World Health Organization (WHO) to represent a hypothetical or unknown pathogen with potential to cause a severe global epidemic or pandemic [2]. Disease X symbolizes an unidentified pathogen with the potential to trigger a significant global epidemic. This concept emerged in response to the realization that emerging infectious diseases pose a formidable threat to global health security [3], as demonstrated by the following outbreaks severe acute respiratory syndrome (SARS); Middle East respiratory syndrome (MERS); Ebola virus disease; Zika virus disease; and most prominently, the COVID-19 pandemic [48]. Notably, the frequency of infectious disease outbreaks has tripled over the past 40 years [9].

            On 18 November 2022 the WHO convened a gathering of over 300 scientists to review data on more than 25 virus families and bacteria, including the enigmatic disease X [10]. The WHO hoped to lead a comprehensive international initiative for revising the catalogue of critical pathogens (entities capable of triggering outbreaks or pandemics), the goal of which was to guide global investment, research, and progress with a particular focus on vaccines, diagnostics, and therapeutics. Disease X underscores the imperative for preparedness and vigilance against novel and unforeseen infectious agents (pathogen X), highlighting the need for a robust global health infrastructure capable of swiftly responding to emerging threats [2].

            Although disease X has an unknown etiology, based on past knowledge, we can still identify some high-risk viral families. Among approximately 24 families of viruses known to infect humans, there are 6 specific families (Coronaviridae, Adenoviridae, Paramyxoviridae, Orthomyxoviridae, Poxviridae, and Picornaviridae) that possess characteristics which make them strong candidates for triggering future pandemics [9]. Although respiratory- or airborne-transmitted viruses are considered the most likely pathogens to cause the next global pandemic, some bacteria, especially those with pan-drug resistance, possess characteristics that could lead to a global public health crisis [11]. Additionally, fungi, protozoa, and even prions have the potential to cause outbreaks and epidemics within some geographic regions [1214].

            EXAMPLES OF DISEASE X

            COVID-19: the global pandemic

            The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has emerged as one of the most significant global health crises in recent history [4,15]. The unprecedented scale and impact of the COVID-19 pandemic have exposed the vulnerabilities of global health systems and underscored the need for robust preparedness and response mechanisms [16,17]. The rapid spread of the virus, facilitated by international travel, urbanization, and population density, has emphasized the interconnectedness of modern society and infectious disease dynamics [18,19].

            COVID-19 has presented a myriad of challenges for public health authorities, healthcare systems, and governments worldwide. The virus has exhibited a wide spectrum of clinical manifestations, ranging from mild respiratory symptoms-to-severe pneumonia, acute respiratory distress syndrome (ARDS), and multi-organ failure [20]. Vulnerable populations, including the elderly and those with underlying health conditions, have been disproportionately affected by the virus [21,22]. Efforts to control the spread of COVID-19 have included widespread testing, contact tracing, quarantine measures, and social distancing guidelines [16]. However, containment efforts have been hampered by factors, such as asymptomatic transmission, limited testing capacity, and vaccine hesitancy. The development and distribution of vaccines against COVID-19 have represented a significant milestone in the pandemic response, offering hope for controlling transmission and mitigating the impact of the virus [22,23]. Despite vaccination efforts, the emergence of new variants of COVID-19 has raised concerns about vaccine effectiveness and the potential for future waves of infection [19,24,25]. Additionally, disparities in vaccine distribution and access have underscored the need for global solidarity and collaboration in addressing the pandemic [26].

            As the COVID-19 pandemic continues to evolve, ongoing research efforts are focused on understanding the viral transmission dynamics, immune response, and long-term health effects [27]. Lessons learned from the pandemic will inform future preparedness and response efforts, emphasizing the importance of investing in resilient healthcare systems, pandemic preparedness, and international cooperation [16].

            SARS: lessons learned from a past outbreak

            The SARS outbreak in 2002-2003 serves as a pivotal event in understanding emerging infectious diseases and pandemic preparedness [8,28]. SARS presented several challenges to public health authorities, including rapid transmission within healthcare settings, a high case fatality rate, and the potential for international spread through air travel [29]. The outbreak highlighted the importance of timely detection, effective communication, and coordinated response efforts in containing emerging infectious diseases.

            Following the SARS outbreak significant efforts were made to enhance global preparedness for future outbreaks. The WHO established the International Health Regulations (IHR), a legally binding framework aimed at improving global health security by facilitating early detection, reporting, and response to public health emergencies [30]. Additionally, investments were made in research and development of diagnostics, therapeutics, and vaccines targeting coronaviruses, including SARS-CoV. The outbreak of SARS served as a stark reminder of the potential for emerging infectious diseases to cause widespread harm and disruption. The lessons learned from SARS continue to inform pandemic preparedness efforts and underscore the importance of sustained investment in global health infrastructure [31].

            Ebola: a persistent threat in Africa

            Ebola virus disease (EVD) is a severe and often fatal illness caused by the Ebola virus, a member of the Filoviridae family. Since its discovery in 1976 in what is now the Democratic Republic of the Congo (DRC), EVD outbreaks have occurred sporadically in Central and West Africa, with devastating consequences for affected communities [32]. The largest outbreak in history occurred in West Africa from 2014–2016, primarily affecting Guinea, Liberia, and Sierra Leone, resulting in >28,600 reported cases and >11,000 deaths [7,33]. EVD outbreaks are characterized by rapid onset, a high case fatality rate, and the potential for nosocomial transmission, particularly in healthcare settings with limited resources and infection control measures [7,34]. The Ebola virus is primarily transmitted through direct contact with the blood, bodily fluids, or tissues of infected individuals or animals, such as fruit bats, which are believed to be natural reservoirs of Ebola virus [35].

            Efforts to control Ebola outbreaks have been hindered by various factors, including weak healthcare infrastructure, political instability, community mistrust, and logistical challenges in implementing control measures [36]. Deployment of experimental vaccines and therapeutics has shown promise in recent outbreaks, offering hope for more effective control and containment strategies [37].

            Despite significant progress in understanding the epidemiology and pathogenesis of Ebola virus, the risk of future outbreaks remains a persistent threat in Africa [38]. Continued investment in surveillance, preparedness, and response capacity is essential for mitigating the impact of Ebola virus and other emerging infectious diseases on vulnerable populations [3941].

            POSSIBLE SOURCES OF DISEASE X

            Zoonotic transmission: bridging the gap between animals and humans

            Zoonotic diseases, which transmit from animals-to-humans, have been a persistent threat throughout human history. These diseases have caused widespread devastation, claiming lives, disrupting economies, and challenging public health systems [42]. Among the myriad of infectious diseases, disease X has garnered particular attention in recent years. While disease X itself remains speculative, the concept embodies the looming threat posed by zoonotic diseases and the urgent need for preparedness and response strategies.

            Zoonotic transmission occurs when pathogens, such as viruses, bacteria, parasites, or fungi, jump from animals-to-humans. This spillover can happen directly through contact with infected animals or indirectly through vectors, such as mosquitoes, ticks, or fleas [43]. A pathogen that is transmitted from animals-to-humans can lead to repeated transmission among people. This can occur through vector transmission, contact transmission, or via the digestive and/or respiratory tracts, resulting in human-to-human transmission and gradually evolving into a human-to-human infectious disease. Respiratory transmission poses the greatest risk, as evidenced by the spread and impact of the novel coronavirus in recent years. Zoonotic pathogens may undergo genetic mutations or reassortments that enable them to infect and spread among human populations efficiently. Factors facilitating zoonotic spillover include ecologic changes, human encroachment into wildlife habitats, agricultural practices, wildlife trade, and climate change [44].

            Zoonotic diseases have a profound impact on public health, economies, and ecosystems. In addition to the direct toll on human health, zoonotic diseases disrupt food systems, trade, tourism, and livelihoods. Outbreaks in livestock populations devastate agricultural economies, leading to food shortages and economic losses for communities reliant on farming and animal husbandry. Furthermore, the fear and stigma associated with zoonotic diseases can have a lasting social and psychological impact on affected populations.

            The interface between humans, animals, and the environment plays a crucial role in zoonotic transmission dynamics (Fig 1). Encroachment into natural habitats, deforestation, and urbanization bring humans into closer contact with wildlife, increasing the likelihood of disease transmission [43]. Moreover, the expansion of agriculture and livestock production leads to intensified interactions between humans and domesticated animals, which creates opportunities for pathogens to cross species barriers.

            Next follows the figure caption
            Figure 1 |

            Emergence, transmission, prevention, and control of disease X.

            The factors influencing emergence of disease X including environmental factors and human activities. The pathways of disease transmission involve the cross-species spillover from one animal species to another and from animals to humans (zoonotic transmission), and finally the disease becomes a human disease by human-to-human transmission. The various prevention and control strategies, including surveillance, rapid response, global collaboration, and addressing underlying drivers. This figure shows the complexity of disease emergence, the interconnectedness of environmental and human factors, and the importance of comprehensive strategies for prevention and control.

            This transmission route highlights the importance of interdisciplinary collaboration between epidemiologists, veterinarians, ecologists, and anthropologists in surveilling, predicting, and mitigating emerging infectious diseases. By fostering interdisciplinary collaboration, strengthening surveillance systems, and promoting sustainable land use practices, we can better prepare for and respond to the next zoonotic threat. Understanding the dynamics of zoonotic transmission not only aids in early detection and response but also underscores the imperative of preserving biodiversity and ecosystems to safeguard human health.

            Environmental factors: impact of deforestation, climate change, and urbanization

            Environmental factors, including deforestation, climate change, and urbanization, have a critical role in shaping the emergence and transmission of infectious diseases, with implications for disease X. These factors induce changes in ecologic systems, alter wildlife habitats, and influence human behaviors, creating an environment where the spillover of pathogens from animals-to-humans become more likely [4447]. A thorough understanding of the intricate relationship between environmental alterations and disease emergence is crucial for reducing the risk associated with disease X and other zoonotic threats.

            Deforestation, the large-scale clearing of forests for agricultural, logging, or urban development purposes, is a leading cause of habitat loss and biodiversity decline. As forests are fragmented or destroyed, wildlife is pushed into closer proximity with human settlements, increasing the probability of zoonotic transmission [45]. Deforestation also disrupts natural ecosystems, leading to shifts in the populations and distributions of vector species, such as mosquitoes and ticks, which are responsible for transmitting pathogens to humans. Research has consistently linked deforestation with the emergence of infectious diseases, such as malaria, dengue fever, and Lyme disease. For example, deforestation in the Amazon rainforest is correlated with an increase in malaria cases due to the creation of breeding grounds for Anopheles mosquitoes, the vectors of malaria parasites [47]. Similarly, deforestation in southeast Asia is associated with the spread of the Nipah virus [46], a deadly zoonotic pathogen transmitted from bats-to-humans via intermediate hosts.

            Climate change poses profound challenges for the distribution, abundance, and seasonality of infectious diseases [4851]. The rise in temperatures, changes in precipitation patterns, and the increase in extreme weather events directly affect the life cycles and behaviors of pathogens, vectors, and reservoir hosts [5255]. Climate change also influences human behavior and migration patterns, adding another layer of complexity to disease dynamics [56].

            A significant impact of climate change is the expansion of the geographic range of vector-borne diseases [57]. Warmer temperatures improve the breeding success of mosquitoes and speeds up the development of pathogens within these vectors, leading to heightened transmission rates [58,59]. The spread of Zika virus, dengue fever, and Chikungunya fever has been connected to climate changes in the mosquito distribution driven by climate change.

            Moreover, climate change can intensify issues of food and water insecurity, displacement, and poverty, all of which increase the vulnerability of populations to infectious diseases [6062]. In regions where health systems are already strained and infrastructure is lacking, the effects of climate change on disease emergence are especially pronounced.

            Urbanization, the process of population growth and migration to urban areas, significantly affects disease transmission dynamics [6366]. Rapid urbanization can lead to overcrowding, inadequate sanitation, and limited access to clean water, all of which are ideal conditions for the spread of infectious diseases [67]. Urban expansion often involves conversion of natural habitats into built environments, increasing interactions between human and wildlife and the risk of zoonotic spillover.

            The high density of populations in urban areas facilitates the rapid transmission of diseases through close contact and shared use of infrastructure [68]. Poor living conditions, inadequate hygiene practices, and limited healthcare access contribute to the emergence and spread of various infectious diseases, including respiratory infections, diarrheal diseases, and vector-borne diseases [69].

            Furthermore, urbanization can lead to changes in ecosystems and disrupt natural habitats, resulting in alterations in wildlife behavior and distribution [63]. Urbanization brings wildlife to closer contact with human populations, which increases the potential for zoonotic transmission events.

            In conclusion, deforestation, climate change, and urbanization are interconnected environmental factors that have a significant impact on the emergence and transmission of infectious diseases, including the hypothetical disease X. These environmental drivers alter ecosystems, disrupt wildlife habitats, and create conditions that facilitate zoonotic spillover events [70,71]. To mitigate the impact, a comprehensive approach is required that promotes sustainable land use practices, strengthens public health infrastructure, and addresses underlying socioeconomic disparities. In so doing, we can reduce the risk posed by disease X and other emerging infectious diseases in the future.

            PREVENTION AND CONTROL STRATEGIES FOR DISEASE X

            Surveillance: early detection and monitoring

            Robust surveillance systems are paramount for the early detection and continuous monitoring of disease X and other emerging infectious diseases [72]. Surveillance entails the systematic collection, analysis, and interpretation of data regarding disease occurrence and transmission patterns [73]. This process is crucial for identifying outbreaks at their inception and monitoring disease trends over time, thereby enabling public health interventions that prevent disease spread and lessen the impact [74].

            A cornerstone of effective surveillance is the establishment of robust reporting mechanisms for suspected cases [75]. Health facilities, laboratories, and providers are instrumental in identifying and reporting potential cases of disease X cases to public health authorities [7678]. Timely reporting facilitates swift investigative actions and response measures, such as case isolation, contact tracing, and implementation of control strategies [79].

            Beyond case-based surveillance, syndromic surveillance methods offer early warning signs of potential outbreaks by tracing trends in symptoms or health-seeking behaviors within the population [80]. These systems, often drawing on data from emergency departments, sentinel clinics, or electronic health records, can identify unusual patterns suggestive of an outbreak even before laboratory confirmation of the pathogen.

            The integration of data from diverse sources, including clinical, laboratory, environmental, and animal health information, enhances the comprehensiveness and accuracy of surveillance systems. This One Health approach acknowledges the interconnectedness of human, animal, and environmental health, facilitating the early identification of zoonotic diseases, such as disease X [81].

            Advanced technologies, such as genomics, remote sensing, and digital surveillance platforms, open new avenues for enhancing disease surveillance [8284]. Genomic sequencing of pathogens allows for the rapid identification and characterization of new pathogens, aiding in targeted response efforts and the development of diagnostics, vaccines, and therapeutics. Remote sensing can monitor environmental changes and predict disease outbreaks by identifying ecologic factors that influence transmission, such as shifts in temperature or rainfall. Digital surveillance platforms, including mobile health apps and social media monitoring, offer real-time data on disease symptoms, travel patterns, and public sentiment, enabling a rapid response to emerging threats.

            Rapid response: coordinated efforts and emergency preparedness

            A rapid and coordinated response is essential for containing disease X outbreaks and minimizing the impact on public health and society [85]. Rapid response initiatives include a spectrum of activities, such as case management, contact tracing, vaccination campaigns, and implementation of public health interventions, to curb disease transmission [86,87].

            A key element of rapid response is the formation of emergency response teams and incident management systems at national, regional, and global levels [88]. These teams coordinate surveillance, laboratory testing, case investigation, and public communication during outbreaks [89,90]. Incident management systems streamline information sharing and decision-making, ensuring a prompt and effective response to threats, such as disease X [91].

            Clear and transparent communication is vital during outbreaks, ensuring that the public, healthcare providers, and policymakers receive timely and accurate information [9296]. Effective communication fosters trust in public health authorities and encourages adherence to control measures, such as quarantine and vaccination. Social media, press releases, and community engagement are essential in spreading health messages and countering misinformation during outbreaks.

            Rapid response efforts also depend on established protocols and contingency plans that have been developed through comprehensive risk assessments and scenario planning exercises [97]. These plans detail the roles and responsibilities of key stakeholders, resource requirements, and logistic arrangements for deploying medical supplies, personnel, and equipment to affected areas. Regular drills and simulations evaluate the effectiveness of response plans and identify areas for improvement, which enhances preparedness for future outbreaks.

            International collaboration is indispensable for coordinating rapid response efforts and mobilizing resources to support affected countries in need [97]. Global health organizations, such as the WHO, the Centers for Disease Control and Prevention (CDC), and Médecins Sans Frontières (MSF), provide critical technical assistance, expertise, and funding to bolster national capacities for outbreak response. Initiatives, such as the Global Outbreak Alert and Response Network (GOARN), facilitate the rapid deployment of international teams to assist countries in containing outbreaks and preventing cross-border spread [98].

            Global collaboration: sharing data and resources

            Global collaboration is essential in effectively confronting the challenges posed by disease X and other emerging infectious diseases. The sharing of data, resources, and expertise across borders is vital for early detection, rapid response, and coordinated efforts to contain outbreaks and prevent spread.

            One pivotal aspect of global collaboration is the exchange of epidemiologic and genomic data on infectious diseases. Open access to data on disease occurrence, transmission dynamics, and genetic sequences empowers researchers and public health authorities to track pathogen spread, identify emerging threats, and assess the potential impact on human health. Initiatives, such as the Global Initiative on Sharing All Influenza Data (GISAID) and GOARN, promote data sharing and best practices among nations and international organizations [98,99].

            Collaborative research efforts also stimulate innovation and accelerate the development of diagnostics, vaccines, and therapeutics for emerging infectious diseases [100]. Multinational research consortia unite scientists from various disciplines to investigate pathogen biology, host-pathogen interactions, and immune responses, leading to new intervention targets and countermeasure development [101].

            Global collaboration also extends to capacity-building initiatives aimed at strengthening public health infrastructure and workforce development in resource-limited settings [102104]. Training programs, technical assistance, and laboratory support help countries enhance the surveillance, diagnostic methods, and response capabilities, enabling more effective outbreak detection and control, and reducing reliance on external assistance during emergencies.

            Finally, international frameworks and agreements provide a foundation for collective action and cooperation in addressing global health threats [104106]. The IHR serve as a legal instrument for preventing, detecting, and responding to public health emergencies of international concern, guiding countries in their preparedness and response efforts and facilitating cross-border information sharing and collaboration [107].

            Addressing underlying drivers: tackling deforestation, wildlife trade, and climate change

            To effectively combat the emergence and spread of disease X and other zoonotic diseases, addressing the underlying drivers that contribute to emergence is crucial [108,109]. Deforestation, wildlife trade, and climate change are key environmental factors that facilitate pathogen spillover from animals-to-humans [110,111]. By implementing strategies to mitigate these drivers, we can reduce the risk of future pandemics and protect public health.

            Deforestation, which leads to habitat loss and biodiversity decline, disrupts ecosystems and brings humans into closer proximity to wildlife [112]. The conversion of forests into agricultural land, urban areas, and infrastructure projects creates opportunities for zoonotic spillover by breaking natural barriers between wildlife habitats and human settlements [113]. To tackle deforestation, conservation efforts must focus on promoting sustainable land use practices, protect critical habitats, and enforce regulations to prevent illegal logging and land conversion. Additionally, initiatives to restore degraded landscapes and promote reforestation can help mitigate the impact of deforestation on disease emergence.

            The wildlife trade, both legal and illegal, poses a significant risk for disease emergence by bringing humans into contact with wild animals carrying novel pathogens [114]. The trafficking of wildlife for food, traditional medicine, pets, and exotic products increases the likelihood of zoonotic spillover events as animals are transported across borders and come into contact with humans in crowded markets and trade hubs [115]. To address the wildlife trade, efforts should focus on strengthening regulations, enforcing wildlife protection laws, and combating illegal trafficking. Public awareness campaigns can also help reduce demand for wildlife products and promote alternative livelihoods for communities dependent on the wildlife trade.

            Climate change exacerbates the risk of disease emergence by altering ecosystems, disrupting wildlife habitats, and influencing the distribution and behavior of vector species [116]. Rising temperatures, changing rainfall patterns, and extreme weather events create favorable conditions for the transmission of vector-borne diseases, such as malaria, dengue fever, and Lyme disease. To address climate change, global efforts must focus on reducing greenhouse gas emissions, transitioning to renewable energy sources and implementing adaptation strategies to enhance resilience to climate-related effects [117]. Additionally, initiatives to promote sustainable land management, protect natural habitats, and restore ecosystems can help mitigate the impact of climate change on disease emergence.

            Therefore, addressing the underlying drivers of disease emergence, including deforestation, wildlife trade, and climate change, is essential for preventing future pandemics and safeguarding public health. Multisectoral and collaborative approaches are needed to tackle these complex challenges and mitigate the impact on human and environmental health. By promoting sustainable land use practices, protecting biodiversity, and reducing greenhouse gas emissions, we can create a healthier and more resilient future for all.

            CONCLUSION

            The emergence of disease X underscores the urgent need to address global health security threats and bolster preparedness and response efforts [118]. Disease X epitomizes the unpredictable and potentially severe nature of emerging infectious diseases. The ongoing COVID-19 pandemic serves as a stark reminder of the devastating impact of novel pathogens and the urgency of addressing disease X cannot be overstated. Failure to adequately prepare for and respond to future pandemics could result in catastrophic consequences for public health, economies, and societies worldwide. Proactive measures to mitigate the risk of disease X must be prioritized to ensure the resilience of global health systems and safeguard the well-being of populations globally [75,79].

            In light of the ongoing threat posed by disease X and other emerging infectious diseases, a concerted global effort is required to strengthen preparedness and response efforts [119]. This call to action includes the following key components: enhancing surveillance and early detection capabilities to promptly identify emerging threats; building robust public health infrastructure and laboratory capacity for rapid diagnosis and characterization of novel pathogens; strengthening international collaboration and information-sharing mechanisms for a coordinated response to outbreaks; investing in research and development of diagnostics, vaccines, and therapeutics for emerging infectious diseases; promoting One Health approaches that recognize the interconnectedness of human, animal, and environmental health in disease emergence and transmission; and addressing underlying drivers of disease emergence through multisectoral and collaborative efforts.

            By prioritizing these actions and working together across borders and disciplines, the global community can enhance its resilience to future pandemics and protect the health and well-being of populations worldwide. Regrettably, the World Health Organization Pandemic Agreement continues to encounter challenges in achieving a conclusive consensus [120,121].

            CONFLICTS OF INTEREST

            No conflict of interests reported by the authors.

            REFERENCES

            1. Cleland JB, Campbell AW. The epidemiology of acute encephalomyelitis (“X Disease”) in Australia. Proc R Soc Med. 1920. Vol. 13(Sect Epidemiol State Med):185–205

            2. WHO. Research response to pathogen X during a pandemic. 2024. https://www.who.int/news-room/events/detail/2024/01/19/default-calendar/Research-response-to-pathogen-X-during-a-pandemic

            3. Lee WK, Shin SR. Development of emerging infectious diseases preventive health behavior (EID-PHB) scale and validation of the complex models. J Multidiscip Healthc. 2024. Vol. 17:445–460

            4. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al.. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020. Vol. 382(8):727–733

            5. Morain SR, Wootton SH, Eppes C. A devastating delay - Zika and the implementation gap. N Engl J Med. 2017. Vol. 377(16):1505–1507

            6. Azhar EI, El-Kafrawy SA, Farraj SA, Hassan AM, Al-Saeed MS, Hashem AM, et al.. Evidence for camel-to-human transmission of MERS coronavirus. N Engl J Med. 2014. Vol. 370(26):2499–2505

            7. WHO Ebola Response Team; Aylward B, Barboza P, Bawo L, et al.. Ebola virus disease in West Africa–the first 9 months of the epidemic and forward projections. N Engl J Med. 2014. Vol. 371(16):1481–1495

            8. Peiris JS, Yuen KY, Osterhaus AD, Stohr K. The severe acute respiratory syndrome. N Engl J Med. 2003. Vol. 349(25):2431–2441

            9. Anonymous. Johnson Hopkins, Bloomberg School of Public Health. Disease X medical countermeasure program. 2024. https://centerforhealthsecurity.org/disease-x

            10. WHO. WHO to identify pathogens that could cause future outbreaks and pandemics. 2022. https://www.who.int/news/item/21-11-2022-who-to-identify-pathogens-that-could-cause-future-outbreaks-and-pandemics

            11. Logan LK, Weinstein RA. The epidemiology of carbapenem-resistant enterobacteriaceae: the impact and evolution of a global menace. J Infect Dis. 2017. Vol. 215 Suppl 1:S28–S36

            12. Casadevall A. Fungi and the rise of mammals. PLoS Pathog. 2012. Vol. 8(8):e1002808

            13. Chen C, Dong XP. Epidemiological characteristics of human prion diseases. Infect Dis Poverty. 2016. Vol. 5(1):47

            14. Platon L, Menard D. Plasmodium falciparum ring-stage plasticity and drug resistance. Trends Parasitol. 2024. Vol. 40(2):118–130

            15. Mofijur M, Fattah IMR, Alam MA, Islam A, Ong HC, Rahman SMA, et al.. Impact of COVID-19 on the social, economic, environmental and energy domains: Lessons learnt from a global pandemic. Sustain Prod Consum. 2021. Vol. 26:343–359

            16. Stenseth NC, Dharmarajan G, Li R, Shi ZL, Yang R, Gao GF. Lessons learnt from the COVID-19 pandemic. Front Public Health. 2021. Vol. 9:694705

            17. WHO. Rolling updates on coronavirus disease (COVID-19). 2024. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happenAccessed on date February 20, 2024

            18. Levi R, Zerhouni EG, Altuvia S. Predicting the spread of SARS-CoV-2 variants: an artificial intelligence enabled early detection. PNAS Nexus. 2024. Vol. 3(1):pgad424

            19. Yang L, Wang Z, Wang L, Vrancken B, Wang R, Wei Y, et al.. Association of vaccination, international travel, public health and social measures with lineage dynamics of SARS-CoV-2. Proc Natl Acad Sci U S A. 2023. Vol. 120(33):e2305403120

            20. Li H, Liu L, Zhang D, Xu J, Dai H, Tang N, et al.. SARS-CoV-2 and viral sepsis: observations and hypotheses. Lancet. 2020. Vol. 395(10235):1517–1520

            21. Goldberg SA, Bonacci RA, Carlson LC, Pu CT, Ritchie CS. Home-based testing for SARS-CoV-2: leveraging prehospital resources for vulnerable populations. West J Emerg Med. 2020. Vol. 21(4):813–816

            22. Rubin EJ, Baden LR, Barocas JA, Morrissey S. Audio interview: SARS-CoV-2 vaccination and vulnerable populations. N Engl J Med. 2020. Vol. 383(24):e143

            23. Moazen B, Ismail N, Agbaria N, Mazzilli S, Petri D, Amaya A, et al.. Vaccination against emerging and reemerging infectious diseases in places of detention: a global multistage scoping review. Front Public Health. 2024. Vol. 12:1323195

            24. Senevirathne TH, Wekking D, Swain JWR, Solinas C, De Silva P. COVID-19: from emerging variants to vaccination. Cytokine Growth Factor Rev. 2024. Vol. 76:127–141

            25. Machado RRG, Candido ED, Aguiar AS, Chalup VN, Sanches PR, Dorlass EG, et al.. Immune evasion of SARS-CoV-2 omicron subvariants XBB.1.5, XBB.1.16 and EG.5.1 in a cohort of older adults after ChAdOx1-S vaccination and BA.4/5 bivalent booster. Vaccines (Basel). 2024. Vol. 12(2):144

            26. Alos-Ferrer C, Garcia-Segarra J, Gines-Vilar M. Ethical allocation of scarce vaccine doses: The Priority-Equality protocol. Front Public Health. 2022. Vol. 10:986776

            27. Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020. Vol. 20(5):533–534

            28. Donnelly CA, Ghani AC, Leung GM, Hedley AJ, Fraser C, Riley S, et al.. Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong. Lancet. 2003. Vol. 361(9371):1761–1766

            29. Rota PA, Oberste MS, Monroe SS, Nix WA, Campagnoli R, Icenogle JP, et al.. Characterization of a novel coronavirus associated with severe acute respiratory syndrome. Science. 2003. Vol. 300(5624):1394–1399

            30. WHO. Consensus document on the epidemiology of severe acute respiratory syndrome (SARS). World Health Organization. https://www.who.int/publications/i/item/consensus-document-on-the-epidemiology-of-severe-acute-respiratory-syndrome-(-sars)Accessed on date February 28, 2024

            31. Feng ZH, Zhou MY, Ji GH, Ye L, Cheng YR, Wang MW, et al.. Faced with 2019-nCoV outbreak, we have learned our lessons from SARS of 2003. Eur Rev Med Pharmacol Sci. 2020. Vol. 24(8):4068–4069

            32. WHO. Ebola virus disease. World Health Organization. https://www.who.int/health-topics/ebola#tab=tab_1Accessed on date February 28, 2024

            33. WHO. Ebola outbreak 2014-2016 - West Africa. World Health Organization. https://www.who.int/emergencies/situations/ebola-outbreak-2014-2016-West-AfricaAccessed on date February 28, 2024

            34. Omoleke SA, Mohammed I, Saidu Y. Ebola viral disease in West Africa: a threat to global health, economy and political stability. J Public Health Afr. 2016. Vol. 7(1):534

            35. Leroy EM, Kumulungui B, Pourrut X, Rouquet P, Hassanin A, Yaba P, et al.. Fruit bats as reservoirs of Ebola virus. Nature. 2005. Vol. 438(7068):575–576

            36. Bausch DG, Schwarz L. Outbreak of ebola virus disease in Guinea: where ecology meets economy. PLoS Negl Trop Dis. 2014. Vol. 8(7):e3056

            37. Henao-Restrepo AM, Camacho A, Longini IM, Watson CH, Edmunds WJ, Egger M, et al.. Efficacy and effectiveness of an rVSV-vectored vaccine in preventing Ebola virus disease: final results from the Guinea ring vaccination, open-label, cluster-randomised trial (Ebola Ca Suffit!). Lancet. 2017. Vol. 389(10068):505–518

            38. Sospeter SB, Udohchukwu OP, Ruaichi J, Nchasi G, Paul IK, Kanyike AM, et al.. Ebola outbreak in DRC and Uganda; an East African public health concern. Health Sci Rep. 2023. Vol. 6(8):e1448

            39. Beadling C, Brett-Major D, Hamer M, Vest K, Muyimbo T, Burkle F. Ebola outbreak in democratic republic of congo: lessons learned, or ignored? Disaster Med Public Health Prep. 2021. Vol. 15(6):682–684

            40. Dembek ZF, Mothershead JL, Chekol T, Myers DB, Meris RG, Meranus D, et al.. Operational perspective of lessons learned from the ebola crisis. Mil Med. 2017. Vol. 182(1):e1507–e1513

            41. Largent EA. EBOLA and FDA: reviewing the response to the 2014 outbreak, to find lessons for the future. J Law Biosci. 2016. Vol. 3(3):489–537

            42. Yang R, Atkinson S, Chen Z, Cui Y, Du Z, Han Y, et al.. Yersinia pestis and Plague: some knowns and unknowns. Zoonoses (Burlingt). 2023. Vol. 3(1):5

            43. Plowright RK, Parrish CR, Mccallum H, Hudson PJ, Ko AI, Graham AL, et al.. Pathways to zoonotic spillover. Nat Rev Microbiol. 2017. Vol. 15(8):502–510

            44. Taylor LH, Latham SM, Woolhouse ME. Risk factors for human disease emergence. Philos Trans R Soc Lond B Biol Sci. 2001. Vol. 356(1411):983–989

            45. Chaves LF, Cohen JM, Pascual M, Wilson ML. Social exclusion modifies climate and deforestation impacts on a vector-borne disease. PLoS Negl Trop Dis. 2008. Vol. 2(1):e176

            46. Sodhi NS, Koh LP, Brook BW, Ng PK. Southeast Asian biodiversity: an impending disaster. Trends Ecol Evol. 2004. Vol. 19(12):654–660

            47. Vittor AY, Gilman RH, Tielsch J, Glass G, Shields T, Lozano WS, et al.. The effect of deforestation on the human-biting rate of Anopheles darlingi, the primary vector of Falciparum malaria in the Peruvian Amazon. Am J Trop Med Hyg. 2006. Vol. 74(1):3–11

            48. Akin SM, Martens P, Huynen MM. Climate change and infectious disease risk in Western Europe: a survey of dutch expert opinion on adaptation responses and actors. Int J Environ Res Public Health. 2015. Vol. 12(8):9726–9749

            49. Bartlow AW, Manore C, Xu C, Kaufeld KA, Del Valle S, Ziemann A, et al.. Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment. Vet Sci. 2019. Vol. 6(2):40

            50. Cohen JM, Civitello DJ, Venesky MD, Mcmahon TA, Rohr JR. An interaction between climate change and infectious disease drove widespread amphibian declines. Glob Chang Biol. 2019. Vol. 25(3):927–937

            51. The Lancet Infectious Diseases. Climate change: the role of the infectious disease community. Lancet Infect Dis. 2017. Vol. 17(12):1219

            52. Ben-Ari T, Neerinckx S, Gage KL, Kreppel K, Laudisoit A, Leirs H, et al.. Plague and climate: scales matter. PLoS Pathog. 2011. Vol. 7(9):e1002160

            53. Davis S, Begon M, De Bruyn L, Ageyev VS, Klassovskiy NL, Pole SB, et al.. Predictive thresholds for plague in Kazakhstan. Science. 2004. Vol. 304(5671):736–738

            54. Leirs H, Stenseth NC, Nichols JD, Hines JE, Verhagen R, Verheyen W. Stochastic seasonality and nonlinear density-dependent factors regulate population size in an African rodent. Nature. 1997. Vol. 389(6647):176–180

            55. Mysterud A, Stenseth NC, Yoccoz NG, Langvatn R, Steinheim G. Nonlinear effects of large-scale climatic variability on wild and domestic herbivores. Nature. 2001. Vol. 410(6832):1096–1099

            56. Schradin C. Corona, climate change, and evolved human behavior. Trends Ecol Evol. 2021. Vol. 36(7):569–572

            57. Caminade C, Mcintyre KM, Jones AE. Impact of recent and future climate change on vector-borne diseases. Ann N Y Acad Sci. 2019. Vol. 1436(1):157–173

            58. Patz JA, Githeko AK, Mccarty JP, Hussein S, Confalonieri U, De Wet N. Climate change and infectious diseasesClimate Change and Human Health: Risks and Responses. Geneva: World Health Organization. 2003. https://iris.who.int/bitstream/handle/10665/42742/924156248X_eng.pdf?sequence=1

            59. Harvell CD, Mitchell CE, Ward JR, Altizer S, Dobson AP, Ostfeld RS, et al.. Climate warming and disease risks for terrestrial and marine biota. Science. 2002. Vol. 296(5576):2158–2162

            60. Adams EA, Stoler J, Adams Y. Water insecurity and urban poverty in the Global South: implications for health and human biology. Am J Hum Biol. 2020. Vol. 32(1):e23368

            61. Byg B, Shah AD. Heating up: climate change and the threat to human health. Curr Opin Nephrol Hypertens. 2024. Vol. 33(1):78–82

            62. Wheeler T, Von Braun J. Climate change impacts on global food security. Science. 2013. Vol. 341(6145):508–513

            63. Bradley CA, Altizer S. Urbanization and the ecology of wildlife diseases. Trends Ecol Evol. 2007. Vol. 22(2):95–102

            64. Cuthbert RN, Darriet F, Chabrerie O, Lenoir J, Courchamp F, Claeys C, et al.. Invasive hematophagous arthropods and associated diseases in a changing world. Parasit Vectors. 2023. Vol. 16(1):291

            65. Kim D. Exploratory study on the spatial relationship between emerging infectious diseases and urban characteristics: Cases from Korea. Sustain Cities Soc. 2021. Vol. 66:102672

            66. Nova N, Athni TS, Childs ML, Mandle L, Mordecai EA. Global change and emerging infectious diseases. Annu Rev Resour Economics. 2022. Vol. 14:333–354

            67. Alirol E, Getaz L, Stoll B, Chappuis F, Loutan L. Urbanisation and infectious diseases in a globalised world. Lancet Infect Dis. 2011. Vol. 11(2):131–141

            68. Tian H, Liu Y, Li Y, Wu CH, Chen B, Kraemer MUG, et al.. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science. 2020. Vol. 368(6491):638–642

            69. Bankar NJ, Tidake AA, Bandre GR, Ambad R, Makade JG, Hawale DV. Emerging and re-emerging viral infections: an indian perspective. Cureus. 2022. Vol. 14(10):e30062

            70. Hoffman SA, Maldonado YA. Emerging and re-emerging pediatric viral diseases: a continuing global challenge. Pediatr Res. 2024. Vol. 95(2):480–487

            71. Siiba A, Kangmennaang J, Baatiema L, Luginaah I. The relationship between climate change, globalization and non-communicable diseases in Africa: a systematic review. PLoS One. 2024. Vol. 19(2):e0297393

            72. WHO. Communicable disease surveillance and response systems: guide to monitoring and evaluating. 2012. https://www.who.int/publications/i/item/9241547073

            73. WHO. International Health Regulations (2005): Monitoring and evaluation framework. 2017. https://www.who.int/publications/i/item/9789241511927

            74. Buehler JW, Hopkins RS, Overhage JM, Sosin DM, Tong V, Group CDCW. Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group. MMWR Recomm Rep. 2004. Vol. 53(RR-5):1–11

            75. Heymann DL, Chen L, Takemi K, Fidler DP, Tappero JW, Thomas MJ, et al.. Global health security: the wider lessons from the west African Ebola virus disease epidemic. Lancet. 2015. Vol. 385(9980):1884–1901

            76. Chan EH, Brewer TF, Madoff LC, Pollack MP, Sonricker AL, Keller M, et al.. Global capacity for emerging infectious disease detection. Proc Natl Acad Sci U S A. 2010. Vol. 107(50):21701–21706

            77. Cori A, Lassmann B, Nouvellet P. Data needs for better surveillance and response to infectious disease threats. Epidemics. 2023. Vol. 43:100685

            78. Fang Y, Zhang W, Rowland B, Constable P. Surveillance, prevention fight infectious disease. Am J Vet Res. 2023. Vol. 84(11):ajvr.23.08.0195

            79. Gates B. The next epidemic–lessons from Ebola. N Engl J Med. 2015. Vol. 372(15):1381–1384

            80. Ramchand R, Ahluwalia SC, Avriette M, Cecchine G, Cooper M, Foran C, et al.. Syndromic surveillance 2.0: emerging global surveillance strategies for infectious disease epidemics. Rand Health Q. 2023. Vol. 11(1):8

            81. Singh S, Sharma P, Pal N, Sarma DK, Tiwari R, Kumar M. Holistic one health surveillance framework: synergizing environmental, animal, and human determinants for enhanced infectious disease management. ACS Infect Dis. 2024. Vol. 10(3):808–826

            82. Hernandez-Neuta I, Magoulopoulou A, Pineiro F, Lisby JG, Gulberg M, Nilsson M. Highly multiplexed targeted sequencing strategy for infectious disease surveillance. BMC Biotechnol. 2023. Vol. 23(1):31

            83. Parums DV. Editorial: infectious disease surveillance using artificial intelligence (AI) and its role in epidemic and pandemic preparedness. Med Sci Monit. 2023. Vol. 29:e941209

            84. Sievers BL, Siegers JY, Cadenes JM, Hyder S, Sparaciari FE, Claes F, et al.. “Smart markets”: harnessing the potential of new technologies for endemic and emerging infectious disease surveillance in traditional food markets. J Virol. 2024. Vol. 98(2):e0168323

            85. Berkley H, Barnes M, Carnahan D, Hayhurst J, Bockhorst A, Neville J. Public health surveillance via template management in electronic health records: tri-service workflow’s rapid response to an infectious disease crisis. Mil Med. 2017. Vol. 182(S1):340–345

            86. Thomas CM, Shaffner J, Johnson R, Wiedeman C, Fill MA, Jones TF, et al.. Lessons learned from implementation of mpox surveillance during an outbreak response in tennessee, 2022. Public Health Rep. 2024. 333549231223710

            87. De Araujo WR, Lukas H, Torres MDT, Gao W, De La Fuente-Nunez C. Low-cost biosensor technologies for rapid detection of COVID-19 and future pandemics. ACS Nano. 2024. Vol. 18(3):1757–1777

            88. Cummings KJ, Choi MJ, Esswein EJ, De Perio MA, Harney JM, Chung WM, et al.. Addressing infection prevention and control in the first U.S. community hospital to care for patients with ebola virus disease: context for national recommendations and future strategies. Ann Intern Med. 2016. Vol. 165(1):41–49

            89. Vlieg WL, Fanoy EB, van Asten L, Liu X, Yang J, Pilot E, et al.. Comparing national infectious disease surveillance systems: China and the Netherlands. BMC Public Health. 2017. Vol. 17(1):415

            90. Gauci C, Melillo Fenech T, Gilles H, O’brien S, Mamo J, Stabile I, et al.. Sentinel Surveillance: an option for surveillance of infectious intestinal disease. Euro Surveill. 2007. Vol. 12(4):E13–E14

            91. Ter Waarbeek H, Hoebe C, Freund H, Bochat V, Kara-Zaitr C. Strengthening infectious disease surveillance in a Dutch-German crossborder area using a real-time information exchange system. J Bus Contin Emer Plan. 2011. Vol. 5(2):173–184

            92. Carter P, Megnin-Viggars O, Rubin GJ. What factors influence symptom reporting and access to healthcare during an emerging infectious disease outbreak? A rapid review of the evidence. Health Secur. 2021. Vol. 19(4):353–363

            93. Firman J, Williams SA, Baggoley C. From plague to MERS: coordinating Australia’s response to emerging infectious diseases. Public Health Res Pract. 2016. Vol. 26(5):2651654

            94. Forrest DM. Control of imported communicable diseases: preparation and response. Can J Public Health. 1996. Vol. 87(6):368–372

            95. Tambo E, Ugwu EC, Ngogang JY. Need of surveillance response systems to combat Ebola outbreaks and other emerging infectious diseases in African countries. Infect Dis Poverty. 2014. Vol. 3:29

            96. Tambo E, Xiao-Nong Z. Acquired immunity and asymptomatic reservoir impact on frontline and airport ebola outbreak syndromic surveillance and response. Infect Dis Poverty. 2014. Vol. 3:41

            97. WHO. Pandemic Influenza Risk Management: a WHO guide to inform and harmonize national and international pandemic preparedness and response. 2016. https://www.who.int/influenza/preparedness/pandemic/influenza_risk_management/en/

            98. WHO. Global outbreak alert and response network (GOARN). 2020. https://www.who.int/initiatives/global-outbreak-alert-and-response-network

            99. Gisaid. Global initiative on sharing all influenza data. https://www.gisaid.org/

            100. Morse SS. Public health surveillance and infectious disease detection. Biosecur Bioterror. 2012. Vol. 10(1):6–16

            101. Rohde H, Qin J, Cui Y, Li D, Loman NJ, Hentschke M, et al. E. coli O104:H4 Genome Analysis Crowd-Sourcing Consortium. Open-source genomic analysis of Shiga-toxin-producing E. coli O104:H4. N Engl J Med. 2011. Vol. 365(8):718–724

            102. Jit M, Ananthakrishnan A, Mckee M, Wouters OJ, Beutels P, Teerawattananon Y. Multi-country collaboration in responding to global infectious disease threats: lessons for Europe from the COVID-19 pandemic. Lancet Reg Health Eur. 2021. Vol. 9:100221

            103. Norton A, Sigfrid L, Aderoba A, Nasir N, Bannister PG, Collinson S, et al.. Preparing for a pandemic: highlighting themes for research funding and practice-perspectives from the Global Research Collaboration for Infectious Disease Preparedness (GloPID-R). BMC Med. 2020. Vol. 18(1):273

            104. Swenson J, Disbrow G, Johnson RA. How global collaboration can improve the medical countermeasure life cycle for infectious disease outbreaks: a BARDA perspective. J Infect Dis. 2024. jiae017

            105. De Luca M, Ramirez ML. A pandemic treaty: learning from the framework convention on tobacco control. Health Secur. 2023. Vol. 21(2):105–112

            106. Plotkin BJ, Kimball AM. Designing an international policy and legal framework for the control of emerging infectious diseases: first steps. Emerg Infect Dis. 1997. Vol. 3(1):1–9

            107. Bakari E, Frumence G. Challenges to the implementation of International Health Regulations (2005) on preventing infectious diseases: experience from Julius Nyerere International Airport, Tanzania. Glob Health Action. 2013. Vol. 6:20942

            108. Jagadesh S, Combe M, Gozlan RE. Human-altered landscapes and climate to predict human infectious disease hotspots. Trop Med Infect Dis. 2022. Vol. 7(7):124

            109. Farooq Z, Rocklov J, Wallin J, Abiri N, Sewe MO, Sjodin H, et al.. Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers. Lancet Reg Health Eur. 2022. Vol. 17:100370

            110. Redding DW, Atkinson PM, Cunningham AA, Lo Iacono G, Moses LM, Wood JLN, et al.. Impacts of environmental and socio-economic factors on emergence and epidemic potential of Ebola in Africa. Nat Commun. 2019. Vol. 10(1):4531

            111. Brierley L, Vonhof MJ, Olival KJ, Daszak P, Jones KE. Quantifying global drivers of zoonotic bat viruses: a process-based perspective. Am Nat. 2016. Vol. 187(2):E53–E64

            112. Daszak P, Epstein JH, Kilpatrick AM, Aguirre AA, Karesh WB, Cunningham AA. Collaborative research approaches to the role of wildlife in zoonotic disease emergence. Curr Top Microbiol Immunol. 2007. Vol. 315:463–475

            113. Carlson KM, Curran LM, Ratnasari D, Pittman AM, Soares-Filho BS, Asner GP, et al.. Committed carbon emissions, deforestation, and community land conversion from oil palm plantation expansion in West Kalimantan, Indonesia. Proc Natl Acad Sci U S A. 2012. Vol. 109(19):7559–7564

            114. Smith KM, Anthony SJ, Switzer WM, Epstein JH, Seimon T, Jia H, et al.. Zoonotic viruses associated with illegally imported wildlife products. PLoS One. 2012. Vol. 7(1):e29505

            115. Chomel BB, Belotto A, Meslin FX. Wildlife, exotic pets, and emerging zoonoses. Emerg Infect Dis. 2007. Vol. 13(1):6–11

            116. Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Beagley J, Belesova K, et al.. The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises. Lancet. 2021. Vol. 397(10269):129–170

            117. WHO. Climate change and health. 2021. https://www.who.int/news-room/fact-sheets/detail/climate-change-and-health

            118. WHO. Disease X. 2018. https://www.who.int/health-topics/disease-x

            119. Katz R, Fischer J. The revised international health regulations: a framework for global pandemic response. Global Health Governance. 2010. Vol. 3(2):1–12

            120. Schwalbe N, Hannon E, Lehtimaki S. The new pandemic treaty: are we in safer hands? Probably not. BMJ. 2024. Vol. 384:q477

            121. WHO. Proposal for Negotiating Text of the WHO Pandemic Agreement: Chapter III, with Refined Textual Proposals. 2024. https://healthpolicy-watch.news/wp-content/uploads/2024/02/INB8_Chapter-III.pdf

            Author and article information

            Journal
            Zoonoses
            Zoonoses
            Zoonoses
            Compuscript (Shannon, Ireland )
            2737-7466
            2737-7474
            28 May 2024
            : 4
            : 1
            : e980
            Affiliations
            [1 ]Department of Infection Control, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1, Shuaifuyuan Hutong, Dongcheng District, Beijing 100730, China
            Author notes
            *Corresponding author: E-mail: huangjing6638@ 123456pumch.cn (JH)
            Article
            10.15212/ZOONOSES-2024-0013
            b438cc02-1842-4eb9-9d99-ad1d65cbd4bf
            Copyright © 2024 The Authors.

            This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

            History
            : 16 April 2024
            : 24 April 2024
            : 11 May 2024
            Page count
            Figures: 1, References: 121, Pages: 10
            Funding
            Funded by: National Social Science Fund
            Award ID: CLA210281
            Our work was supported by the National Social Science Fund (contract no. CLA210281). We would like to express our sincere gratitude to KIMI and ChatGTP, the artificial intelligence assistants, for helpful discussion and valuable insight in the process of drafting this review and assisting with the linguistic nuances of English.
            Categories

            Parasitology,Animal science & Zoology,Molecular biology,Public health,Microbiology & Virology,Infectious disease & Microbiology
            response,cooperation,zoonotic transmission,surveillance,disease X

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