Infectious Disease and Epidemiology: Dealing with the Present and Preparing for Future New Epidemics

This chapter focuses on important questions related to present-day infectious diseases. One area related to infectious diseases of humans that has been a long-standing focus in biological anthropology is the study of disease in prehistoric populations, made possible by analyses of skeletal remains. The phrase "emerging infectious disease” refers to diseases that either are new to a population or show an increase in the number of cases, in association with a rapid expansion of their range. The chapter mentions the most important consequences of climate change on the distribution, transmission, and prevalence of human infectious diseases. COVID-19 is clearly the most significant infectious disease to emerge in recent history. Many anthropological journals released special issues on COVID-19 in which they shared the ways that anthropological methodologies might be useful for researchers working with populations during the pandemic. © 2023 John Wiley & Sons Ltd.

Integrated surveillance and early warning system for emerging infectious diseases based on One Health concept: Structures and innovations.

One Health is an upgrade and optimization of health concepts, which recognizes the integrated health of the human-animal-environment. It emphasizes the use of interdisciplinary collaboration, multi-sectoral coordination, and multi-organizational One Health approaches to solve scientific questions. The surveillance and early warning system is the basis of public health emergency prevention and control. The COVID-19 pandemic and the emerging infectious disease (EID) have put great challenges on the existing surveillance and early warning systems worldwide. Guided by the concept of One Health, we attempt to build a new pattern of integrated surveillance and early warning system for EID. We will detail the system including the One Health-based organizational structure, zoonotic and environmental science surveillance network, EID reporting process, and support and guarantee from education and policy. The integrated surveillance and early warning system for EID constructed here has practical and application prospects, and will provide guidance for the prevention and control of COVID-19 and the possible EID in the future.Copyright © 2022, National Institute of Parasitic Diseases. All rights reserved.

Global age-structured spatial modeling for emerging infectious diseases like COVID-19.

Modeling the global dynamics of emerging infectious diseases (EIDs) like COVID-19 can provide important guidance in the preparation and mitigation of pandemic threats. While age-structured transmission models are widely used to simulate the evolution of EIDs, most of these studies focus on the analysis of specific countries and fail to characterize the spatial spread of EIDs across the world. Here, we developed a global pandemic simulator that integrates age-structured disease transmission models across 3,157 cities and explored its usage under several scenarios. We found that without mitigations, EIDs like COVID-19 are highly likely to cause profound global impacts. For pandemics seeded in most cities, the impacts are equally severe by the end of the first year. The result highlights the urgent need for strengthening global infectious disease monitoring capacity to provide early warnings of future outbreaks. Additionally, we found that the global mitigation efforts could be easily hampered if developed countries or countries near the seed origin take no control. The result indicates that successful pandemic mitigations require collective efforts across countries. The role of developed countries is vitally important as their passive responses may significantly impact other countries.

Planning for Emerging Infectious Disease Pandemics

Problem, research strategy, and findingsPlanners have not paid enough attention to managing the risk of emerging infectious diseases (EIDs), of which COVID-19 is the most recent manifestation. Overlooking aggressive policies to manage this risk of zoonotic viruses reassorting between sick animals and humans misses the greatest opportunity for stopping future disease pandemics. In this study we review several disciplines, outline the scant planning literature on EIDs, and identify the increasing calls from virologists and medical professionals to address urbanization as a key EID driver. Using the case of avian influenza outbreaks in Vietnam in 2004 and 2005, we conceptualize a preventive planning approach to managing the risk of zoonotic transmission that results in EID pandemics.Takeaway for practiceWe make several recommendations for planners. Practicing planners should consider how their plans manage the risk of zoonotic disease transmission between animals and humans through land use planning and community planning. Planning education and certification organizations should develop positions regarding the role of planning for EIDs. Food systems planners should consider the importance of livestock practices in food production as a risk factor for EIDs. Diverse research teams should combine geographic scales, data sources, and disciplinary knowledge to examine how an extended series of upstream and downstream events can result in a global pandemic. Such empirical examination can lead to effective planning policies to greatly reduce this risk.

An overview of COVID-19: An emerging infectious disease

COVID-19, a public health emergency, has led to substantial loss of human lives worldwide and posed an unparalleled global health threat. The condition has wreaked havoc on both the economy and the social system. Pandemics evoke a nationwide focused response and also test the structure and competence of the health system. The pandemic serves as yet another reminder that we must invest in public health, build national capacity to detect diseases early and respond quickly to emerging infections, improve and respect our national institutions, and base policymaking on evidence. This chapter briefly discusses the epidemiology of the emerging infectious disease COVID-19 and the essential components for the health system's preparedness against a public health emergency. © 2023 Elsevier Inc. All rights reserved.

Causing trouble and being transmissible: COVID-19 survivors' experiences of stigma and discrimination in South Korea.

Background: The stigma associated with coronavirus disease (COVID-19) is relatively neglected in policies for handling the disease. Stigmatization occurs only within specific social contexts in local societies. Objective: This study aims to examine COVID-19 survivors' experiences of social stigma and discrimination in South Korea in the first 2 years of the pandemic. Methods: Semi-structured interviews were conducted. Results: Of 52 participants, 45 reported that they had to cope with stigma and discrimination in their intimate social relationships, workplaces, and children's schools, ranging from subtle actions to job loss. Sexual minorities who were involved in mass disease transmission in the early part of the pandemic experienced a higher level of stigmatization. The stigmatization dealt with in this study was related to two themes: survivors' sense of causing trouble and possibility of transmission. Conclusion: By intertwining this stigma with the experiences of public health measures through the voices of survivors, this study reveals the local context of East Asia in terms of culture-specific aspects of COVID-19-related stigma.

Percutaneous Coronary Intervention Associated with a Higher Risk of Hypoxemia and COVID-19 Severity.

Objective The primary goal of the present study was to measure the implications of hypoxemia in COVID-19 patients with a history of coronary artery disease (CAD). Methods A systematic search of the literature published from November 1, 2019 to May 1, 2021, was conducted on PubMed/MEDLINE, Embase, and Web of Science databases. Afterwards, an observational study was designed based on the electronic health records of COVID-19 patients hospitalized in a tertiary referral hospital during the same period. A total of 179 COVID-19 cases were divided into two groups: cases with a history of CAD and percutaneous coronary intervention (CAD/PCI+, n = 89) and controls (n = 90). Clinical data were extracted from the electronic database of the hospital and statistically analyzed. Results After the application of inclusion/exclusion criteria, only three studies were deemed eligible, one of which was concerned with the impact of CAD on the all-cause mortality of COVID-19. Results from our observational study indicated that the cases were older (median age: 74 vs. 45) and more likely to develop hypoxemia (25.8% vs. 8.8%) than the controls. CAD/PCI+ was correlated with a more severe COVID-19 (11% vs. 1%). Age was a moderately significant independent predictor of increased COVID-19 severity, while hypoxemia was not. Conclusion Considering the negative impact of hypoxemia on the prognosis of COVID-19 and its higher prevalence among COVID-19 patients with underlying CAD, further research is warranted to unravel the negative effects of COVID-19 on the mechanisms of gas exchange and delivery in patients with pre-existing CAD.

Evolutionary Challenges to Humanity Caused by Uncontrolled Carbon Emissions: The Stockholm Paradigm.

This review paper discusses the Stockholm Paradigm (SP) as a theoretical framework and practical computational instrument for studying and assessing the risk of emerging infectious diseases (EIDs) as a result of climate change. The SP resolves the long-standing parasite paradox and explains how carbon emissions in the atmosphere increase parasites' generalization and intensify host switches from animals to humans. The SP argues that the growing rate of novel EID occurrence caused by mutated zoonotic pathogens is related to the following factors brought together as a unified issue of humanity: (a) carbon emissions and consequent climate change; (b) resettlement/migration of people with hyper-urbanization; (c) overpopulation; and (d) human-induced distortion of the biosphere. The SP demonstrates that, in an evolutionary way, humans now play a role migratory birds once played in spreading parasite pathogens between the three Earth megabiotopes (northern coniferous forest belt; tropical/equatorial rainforest areas; and hot/cold deserts), i.e., the role of "super-spreaders" of parasitic viruses, bacteria, fungi and protozoa. This makes humans extremely vulnerable to the EID threat. The SP sees the +1.0-+1.2 °C limit as the optimal target for the slow, yet feasible curbing of the EID hazard to public health (150-200 years). Reaching merely the +2.0 °C level will obviously be an EID catastrophe, as it may cause two or three pandemics each year. We think it useful and advisable to include the SP-based research in the scientific repository of the Intergovernmental Panel on Climate Change, since EID appearance and spread are indirect but extremely dangerous consequences of climate change.

Predictive Model for National Minimal CFR during Spontaneous Initial Outbreak of Emerging Infectious Disease: Lessons from COVID-19 Pandemic in 214 Nations and Regions.

The minimal case fatality rate (CFR) is one of the essential fundaments for the establishment of a diverse national response strategy against the COVID-19 epidemic, but cannot be quantitatively predicted. The aim of the present study was to explore the applicable quantitative parameters labeling integrating responding capacity from national daily CFR curves, and whether the minimal CFR during initial emerging epidemic outbreaks can be predicted. We analyzed data from 214 nations and regions during the initial 2020 COVID-19 epidemic and found similar falling zones marked with two turning points within a fitting three-day-moving CFR curve which occurred for many nations and regions. The turning points can be quantified with parameters for the day duration (T1, T2, and ΔT) and for the three-day moving arithmetic average CFRs (CFR1, CFR2, and ΔCFR) under wave theory for 71 nations and regions after screening. Two prediction models of minimal CFR were established with multiple linear regressions (M1) and multi-order curve regressions (M2) after internal and external evaluation. Three kinds of falling zones could be classified in the other 71 nations and regions. Only the minimal CFR showed significant correlations with nine independent national indicators in 65 nations and regions with CFRs less than 7%. Model M1 showed that logarithmic population, births per 1000 people, and household size made significant positive contributions, and logarithmic GDP, percentage of population aged 65+ years, domestic general government health expenditure, physicians per 1000 people, nurses per 1000 people, and body mass index made negative contributions to the minimal CFR against COVID-19 epidemics for most nations and regions. The spontaneous minimal CFR was predicted well with model M1 for 57 nations and regions based on the nine national indicators (R2 = 0.5074), or with model M2 for 59 nations and regions based on the nine national indicators (R2 = 0.8008) at internal evaluation. The study confirmed that national spontaneous minimal CFR could be predicted with models successfully for most nations and regions against COVID-19 epidemics, which provides a critical method to predict the essential early evidence to evaluate the integrating responding capacity and establish national responding strategies reasonably for other emerging infectious diseases in the future.

The perinatal health challenges of emerging and re-emerging infectious diseases: A narrative review.

The world has seen numerous infectious disease outbreaks in the past decade. In many cases these outbreaks have had considerable perinatal health consequences including increased risk of preterm delivery (e.g., influenza, measles, and COVID-19), and the delivery of low birth weight or small for gestational age babies (e.g., influenza, COVID-19). Furthermore, severe perinatal outcomes including perinatal and infant death are a known consequence of multiple infectious diseases (e.g., Ebola virus disease, Zika virus disease, pertussis, and measles). In addition to vaccination during pregnancy (where possible), pregnant women, are provided some level of protection from the adverse effects of infection through community-level application of evidence-based transmission-control methods. This review demonstrates that it takes almost 2 years for the perinatal impacts of an infectious disease outbreak to be reported. However, many infectious disease outbreaks between 2010 and 2020 have no associated pregnancy data reported in the scientific literature, or pregnancy data is reported in the form of case-studies only. This lack of systematic data collection and reporting has a negative impact on our understanding of these diseases and the implications they may have for pregnant women and their unborn infants. Monitoring perinatal health is an essential aspect of national and global healthcare strategies as perinatal life has a critical impact on early life mortality as well as possible effects on later life health. The unpredictable nature of emerging infections and the potential for adverse perinatal outcomes necessitate that we thoroughly assess pregnancy and perinatal health implications of disease outbreaks and their public health interventions in tandem with outbreak response efforts. Disease surveillance programs should incorporate perinatal health monitoring and health systems around the world should endeavor to continuously collect perinatal health data in order to quickly update pregnancy care protocols as needed.

Mpox Perceptions and Vaccine Advocacy among the Healthcare Workers of Solid Organ Transplant Centers: A Multicenter, Cross-Sectional Survey in Saudi Arabia.

BACKGROUND: In response to the global Mpox outbreaks, this survey aimed to assess the knowledge, perceptions, and advocacy of Mpox vaccines among solid organ transplant healthcare workers (HCWs) in Saudi Arabia. METHODS: A cross-sectional survey was conducted among solid organ transplant HCWs in Saudi Arabia from 15 August to 5 September 2022. A total of 199 responses were received from participants primarily working in the kidney (54.8%) and liver (14.6%) transplant units. RESULTS: The survey found that most participants were aware of the 2022 Mpox outbreak, but the majority were more concerned about COVID-19 than Mpox. While the majority of participants thought laboratory personnel and HCWs in direct contact with Mpox patients should receive the vaccine, less than 60% believed that all HCWs should be vaccinated. Additionally, over half of the participants lacked knowledge of animal-human transmission of the virus. CONCLUSION: The results highlight the need for increased education on Mpox among transplant HCWs in Saudi Arabia, particularly regarding the virus's transmission dynamics and vaccines. This education is crucial to improve HCWs' understanding of this emerging disease, especially given their vulnerability during the COVID-19 pandemic.

Automated sample-to-answer system for rapid and accurate diagnosis of emerging infectious diseases

Automated sample-to-answer systems that promptly diagnose emerging infectious diseases, such as zoonotic diseases, are crucial to preventing the spread of infectious diseases and future global pandemics. However, automated, rapid, and sensitive diagnostic testing without professionals and sample capacity and type limitations remains unmet needs. Here, we developed an automated sample-to-answer diagnostic system for rapid and accurate detection of emerging infectious diseases from clinical specimens. This integrated system consists of a microfluidic platform for sample preparation and a bio-optical sensor for nucleic acid (NA) amplification/detection. The microfluidic platform concentrates pathogens and NAs in a large sample volume using adipic acid dihydrazide and a low-cost disposable chip. The bio-optical sensor allows label-free, isothermal one-step NA amplification/detection using a ball-lensed optical fiber-based silicon micro-ring resonator sensor. The system is integrated with software to automate testing and perform analysis rapidly and simply;it can distinguish infection status within 80 min. The detection limit of the system (0.96 × 101 PFU) is 10 times more sensitive than conventional methods (0.96 × 102 PFU). Furthermore, we validated the clinical utility of this automated system in various clinical specimens from emerging infectious diseases, including 20 plasma samples for Q fever and 13 (11 nasopharyngeal swabs and 2 saliva) samples for COVID-19. The system showed 100% sensitivity and specificity for detecting 33 samples of emerging infectious diseases, such as Q fever, other febrile diseases, COVID-19, human coronavirus OC43, influenza A, and respiratory syncytial virus A. Therefore, we envision that this automated sample-to-answer diagnostic system will show high potential for diagnosing emerging infectious diseases in various clinical applications. © 2023 Elsevier B.V.

Respiratory infectious disease isolation During the COVID-19 pandemic.

Respiratory infectious disease transmission decreased within the United States during the COVID-19 pandemic. Within emergency departments, use of personal protective equipment along with masking requirements for COVID-19 helped in this reduction. This report focuses on how COVID-19 precautions reduced the risk of emerging infectious diseases transmission in emergency departments, specifically with patients suspected of measles and mumps.

Different clinical guidelines, common goal: To reduce COVID-19 mortality.

The tendency of the Omicron variant to rapidly became the dominant SARS-CoV-2 strain and its weaker virulence than other strains worldwide has prompted many countries to adjust their public health strategies. This work summarizes all appropriate clinical interventions to reduce the public health burden caused by COVID-19 according to guidelines from the World Health Organization and 10 countries, i.e., the United States of America (USA), India, France, Germany, Brazil, South Korea, Japan, Italy, the United Kingdom (UK), and China. Five stages of COVID-19 were identified: asymptomatic infection and mild, moderate, severe, and critical illness. Most guidelines recommend antivirals starting with mild cases for those from Germany and India. Since more drugs are being developed and are becoming available to COVID-19 patients, guidelines are increasingly being updated with new pharmacological intervention strategies. Thus, a global view needs to be adopted to provide helpful options and precise treatment strategies during the lasting fight against the COVID-19 pandemic.

Effectiveness of sample pooling strategies for diagnosis of SARS-CoV-2: Specimen pooling vs. RNA elutes pooling.

PURPOSE: The pandemic of SARS-CoV-2 or COVID-19 has hugely created an economic imbalance worldwide. With the exponential increase in the number of cases and to keep in check on the community transmission, there is high demand and acute shortage of diagnostic kits. The pooled-sample strategy turns out to be the promising strategy intended to determine the optimal testing for specimens with limited resources and without losing the test sensitivity and specificity. The study was performed with standard molecular biology graded lab equipment, FDA-approved COVID-19 RNA extraction, and SARS-CoV-2 tests kits. MATERIALS AND METHODS: The study aims to comparatively analyze the pooling strategy of the naso-oropharyngeal specimen sample and RNA extracted from the same patient samples in the pool of 3,5, and 8 with no significant loss in test usability. Another primary focus of the study was detection of low or borderline SARS-CoV-2 positives in the pooling strategy. A total of 300 samples (240 positives and 60 negatives) were tested for 3, 5, and 8 pools of specimen samples and RNA elutes. RESULTS: The comparative analysis determined the sensitivity for three and five pool strategy to be above 98% and eight pool strategy to be 100%. CONCLUSION: The RNA elutes pooling strategy concordance rate is better than that of specimen pooling with 100% specificity. Thus, in the substantial crisis of resources with the global pandemic, pooling approaches for SARS-CoV-2 can be practical in a low prevalence rate of 5%.

Religion, Animals, and the Theological Anthropology of Microbes in the Pandemicene

Microbiology's ecological turn, as it shifts its gaze from the individual microbe to the entanglement and ubiquity of microbial life, is transforming conceptions of human nature and disease in the sciences and humanities. Both the fields of Christian theological anthropology and medical anthropology are tuning in to these microbiological shifts for their reformative possibilities. Meanwhile, practical resistance to these shifts in recent pandemic responses suggest that forces greater than just the "pure science" of microbiology are informing attachments to hyper-modern or Pasteurian epidemiologies and radically independent, buffered views of the self. This essay explores the roots of such resistance. It investigates the interplay of shifts in theological anthropology and disease theories. Cultural anthropology and critical studies offer accounts of epidemiology's fraught relationship to a history of colonialism, racialization, and vilification of pathogens and pathogenicized humans. This essay adds a theological analysis of the historical entanglement of perspectives on disease and Christian doctrine, which bears on the present pandemic response. It illuminates the ways some Christians "benefit" from germ theory's influence. Germ theory interrupts key Christian doctrine (especially theodicy) that makes Christian theology resistant to relational accounts of being human. Germ theory's theological reshaping of Christian teaching may also encourage the current resistance to more relational pandemic responses known as One Health strategies. While reformative and more realistic possibilities of emergent and entangled multispecies accounts of humanity's microbiality are ample and apt, they must account for the ways in which microbiology has never been epidemiological without also being colonial and theological. In other words, this essay explores the smallest and most reviled "animals" in relationship to Christian conceptions of sin, contagion, and evil as groundwork for engaging humanity's micro-animality and diseases' relational aspects. To conclude, I offer four modest suggestions.

Inactivation of SARS-CoV-2 infectivity in platelet concentrates or plasma following treatment with ultraviolet C light or with methylene blue combined with visible light.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is unlikely to be a major transfusion-transmitted pathogen; however, convalescent plasma is a treatment option used in some regions. The risk of transfusion-transmitted infections can be minimized by implementing Pathogen Inactivation (PI), such as THERAFLEX MB-plasma and THERAFLEX UV-Platelets systems. Here we examined the capability of these PI systems to inactivate SARS-CoV-2. STUDY DESIGN AND METHODS: SARS-CoV-2 spiked plasma units were treated using the THERAFLEX MB-Plasma system in the presence of methylene blue (~0.8 µmol/L; visible light doses: 20, 40, 60, and 120 [standard] J/cm2 ). SARS-CoV-2 spiked platelet concentrates (PCs) were treated using the THERAFLEX UV-platelets system (UVC doses: 0.05, 0.10, 0.15, and 0.20 [standard] J/cm2 ). Samples were taken prior to the first and after each illumination dose, and viral infectivity was assessed using an immunoplaque assay. RESULTS: Treatment of spiked plasma with the THERAFLEX MB-Plasma system resulted in an average ≥5.03 log10 reduction in SARS-CoV-2 infectivity at one third (40 J/cm2 ) of the standard visible light dose. For the platelet concentrates (PCs), treatment with the THERAFLEX UV-Platelets system resulted in an average ≥5.18 log10 reduction in SARS-CoV-2 infectivity at the standard UVC dose (0.2 J/cm2 ). CONCLUSIONS: SARS-CoV-2 infectivity was reduced in plasma and platelets following treatment with the THERAFLEX MB-Plasma and THERAFLEX UV-Platelets systems, to the limit of detection, respectively. These PI technologies could therefore be an effective option to reduce the risk of transfusion-transmitted emerging pathogens.

Automated sample-to-answer system for rapid and accurate diagnosis of emerging infectious diseases

Automated sample-to-answer systems that promptly diagnose emerging infectious diseases, such as zoonotic diseases, are crucial to preventing the spread of infectious diseases and future global pandemics. However, automated, rapid, and sensitive diagnostic testing without professionals and sample capacity and type limitations remains unmet needs. Here, we developed an automated sample-to-answer diagnostic system for rapid and accurate detection of emerging infectious diseases from clinical specimens. This integrated system consists of a microfluidic platform for sample preparation and a bio-optical sensor for nucleic acid (NA) amplification/detection. The microfluidic platform concentrates pathogens and NAs in a large sample volume using adipic acid dihydrazide and a low-cost disposable chip. The bio-optical sensor allows label-free, isothermal one-step NA amplification/detection using a ball-lensed optical fiber-based silicon micro-ring resonator sensor. The system is integrated with software to automate testing and perform analysis rapidly and simply;it can distinguish infection status within 80min. The detection limit of the system (0.96 × 101 PFU) is 10 times more sensitive than conventional methods (0.96 × 102 PFU). Furthermore, we validated the clinical utility of this automated system in various clinical specimens from emerging infectious diseases, including 20 plasma samples for Q fever and 13 (11 nasopharyngeal swabs and 2 saliva) samples for COVID-19. The system showed 100% sensitivity and specificity for detecting 33 samples of emerging infectious diseases, such as Q fever, other febrile diseases, COVID-19, human coronavirus OC43, influenza A, and respiratory syncytial virus A. Therefore, we envision that this automated sample-to-answer diagnostic system will show high potential for diagnosing emerging infectious diseases in various clinical applications.