Zoonotic diseases in animal agriculture and beyond: a one health perspective

This publication focuses on a group of vignettes to help understand zoonotic diseases, the anthropogenic factors accelerating their emergence, and the consequences of these events. While human activities and behavior are mostly responsible for creating this new era, the world struggles to prepare, change behavior, and rethink strategies to effectively address the inevitability of more frequent occurrences and severity of disease outbreaks and pandemics. Although we know and have experienced the cost of failure, past disease outbreaks seem to be quickly lost from our collective memories and new innovative interventions have not been imagined or adopted. This publication highlights examples that challenge our traditional actions and thinking and emphasize the need to adopt new approaches to prevent or ameliorate zoonotic diseases. The consensus of the experts contributing to this publication is that One Health should be embraced to achieve these results. The growing costs and societal disruptions of outbreaks and pandemics demand that zoonoses be part of our national security planning and deserve commensurate investments in preparedness, prevention, research, and resilience. This publication also highlights the necessity to fundamentally rethink and reestablish new relationships among institutions, organizations, and countries and especially between humanity and our natural systems worldwide.

The Early Predictive Role of Serum Zonulin Level for COVID-19 Severity in Patients Survival

Background: Coronavirus disease 2019 (COVID-19) is a new infectious disease caused by the SARS-CoV-2 coronavirus, which first appeared in Wuhan and quickly spread around the world. The Middle-East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS) outbreaks in 2003 and more recently have demonstrated how lethal CoVs can be when they infect humans across the species barrier. The novel severe acute respiratory syndrome coronavirus 2 has threatened the world in many ways (SARS-CoV-2). Zonulin is a member of a protein family whose first member, pre-haptoglobin 2 (HP2), was discovered nearly ten years ago. (Rittirsch D 2013). Materials and Methods: A total of 120 Covid-19 patients' serum samples were collected and an apparently healthy group (n=60) with an age range (of 35-75) years, was admitted from ALAmal Hospital. Zonulin levels were measured by enzyme-linked immunosorbent assay (ELISA) (kit. Metabolic parameters were measured by enzymatic spectrophotometer methods. The correlation coefficients between serum Zonulin levels and age, BMI, Elements and electrolytes were also evaluated. Results: Serum Zonulin, CRP, D-dimer and ferritin levels were significantly higher in Patients with COVID-19 (324.4±12.46) vs in control (79.69±11.77), (42.67±1.84) vs in control (3.36±0.25), (4188.21±198.73) vs in control (289.43±251) and (738±20.09) vs in control (130.66±9.2) (P <0.001). The correlation of Zonulin levels in COVID-19 patients was significantly positive with age, CRP, D-dimer and ferritin levels but negative with Iron, Ca and Na levels. The serum of Zonulin levels in moderate COVID-19 patients significantly high compared with the critical and severe patients group. Conclusions: Serum Zonulin levels increased in COVID-19 patients, especially in severe cases. Therefore, Zonulin levels demonstrate a prognostic value for predicting the severity of COVID-19. Continuous Zonulin results throughout the study period revealed that the severe group's values were higher than those of the non-severe group. [ FROM AUTHOR] Copyright of Egyptian Academic Journal of Biological Sciences, C Physiology & Molecular Biology is the property of Egyptian Academic Journal of Biological Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Risky business: how Peru's wildlife markets are putting animals and people at risk

This publication presents Peru's illegal wildlife trade activity before and after Covid-19 pandemic which creates a perfect conditions for zoonotic emerging infectious diseases such as SARS-CoV-2 to emerge and spread among animals and people, thus recommendations to prevent this scenario are highlighted.

Molecular detection of monkeypox and related viruses: challenges and opportunities.

The recent widespread emergence of monkeypox (mpox), a rare and endemic zoonotic disease by monkeypox virus (MPXV), has made global headlines. While transmissibility (R0 ≈ 0.58) and fatality rate (0-3%) are low, as it causes prolonged morbidity, the World Health Organization has declared monkeypox as a public health emergency of international concern. Thus, effective containment and disease management require quick and efficient detection of MPXV. In this bioinformatic overview, we summarize the numerous molecular tests available for MPXV, and discuss the diversity of genes and primers used in the polymerase chain reaction-based detection. Over 90 primer/probe sets are used for the detection of poxviruses. While hemagglutinin and A-type inclusion protein are the most common target genes, tumor necrosis factor receptor and complement binding protein genes are frequently used for distinguishing Clade I and Clade II of MPXV. Problems and possibilities in the detection of MPXV have been discussed.

The forensic pathologist's public health role

While historically some have viewed the work of medical examiners/coroners (ME/C) and death investigators as predominantly serving the criminal justice system, in fact, the act of certifying a death is—in and of itself—a public health endeavor. The purpose of the death certificate is to track how and why individuals die as a means of helping others survive. Death certificates do save lives. In addition to generating these vital statistics, which guide public health policy, ME/C also perform a public health service in a variety of other ways. For instance, autopsy pathologists report unsafe consumer products, warn of recreational hazards (e.g., the dangers of snowmobile or all-terrain vehicle use), publicize and report occupational hazards (e.g., falls and electrocution risks), identify toxic exposures (e.g., carbon monoxide from defective heating units), and evaluate the safety of medical therapies. At autopsy, ME/C perform infectious disease surveillance, diagnosing and reporting communicable diseases such as bacterial meningitis, tuberculosis, and Legionella, thereby helping to mitigate disease spread in the community. They identify and characterize emerging infectious threats, such as COVID-19. They track violent deaths, including homicides, suicides, accidents, child and domestic abuse deaths, maternal mortality, and overdose deaths—to name a few—and participate as members of death review teams that attempt to identify systemic issues and prevent further such deaths. © 2023 Elsevier Inc. All rights reserved.

EPICORE: AN INNOVATIVE GLOBAL DISEASE SURVEILLANCE TOOL FOR HUMAN, ANIMAL, AND ENVIRONMENTAL PUBLIC HEALTH EVENTS

EpiCore was launched in 2013 and is a tool designed to supplement traditional infectious disease surveillance efforts by bringing together human, animal, and environmental experts on a digital platform to provide field-based verification efforts of global public health events1,2. Public health professionals from organizations around the globe, including Ending Pandemics, HealthMap, Geosentinel, MSF-OCBA, ProMED, and EDIS-RSOE, are trained as Moderators and are able to send Requests for Information (RFIs). Moderators utilize nontraditional resources, such as social media and news articles, to identify potential health events. Through EpiCore, moderators send out a RFI to EpiCore members located in a geographic area where a new or known health event is occurring. Health experts who receive the RFI may anonymously respond with information about the health event. A moderator reviews the responses and determines whether the information verifies a new event or updates a known ongoing event. Verified and updated events are summarized and published on the EpiCore public dashboard and shared with WHO EIOS. The study period was January 2020 - July 2022. In the study period, 231 RFIs were sent requesting signals about potential health events;111 of those RFIs received responses with information that allowed moderators to confirm or negate a suspected event, or update a known ongoing event. 82% of those RFIs were responded to within 24 hours. EpiCore is a resource for public health professionals and organizations to supplement traditional infectious disease surveillance efforts. For example, information collected through EpiCore was used to provide timely details on the emerging COVID-19 outbreak in Wuhan, China in January 2020. Additionally, responses to RFIs supported surveillance efforts of the 2022 global monkeypox outbreak. Future efforts include outreach and engagement with existing and new members to expand EpiCore's member base in countries with few to no members. [ FROM AUTHOR] Copyright of International Journal of Infectious Diseases is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Digital Disease Surveillance for Emerging Infectious Diseases: An Early Warning System Using the Internet and Social Media Data for COVID-19 Forecasting in Canada.

BACKGROUND: Emerging Infectious Diseases (EID) are a significant threat to population health globally. We aimed to examine the relationship between internet search engine queries and social media data on COVID-19 and determine if they can predict COVID-19 cases in Canada. METHODS: We analyzed Google Trends (GT) and Twitter data from 1/1/2020 to 3/31/2020 in Canada and used various signal-processing techniques to remove noise from the data. Data on COVID-19 cases was obtained from the COVID-19 Canada Open Data Working Group. We conducted time-lagged cross-correlation analyses and developed the long short-term memory model for forecasting daily COVID-19 cases. RESULTS: Among symptom keywords, "cough," "runny nose," and "anosmia" were strong signals with high cross-correlation coefficients >0.8 ( rCough = 0.825, t - 9; rRunnyNose = 0.816, t - 11; rAnosmia = 0.812, t - 3 ), showing that searching for "cough," "runny nose," and "anosmia" on GT correlated with the incidence of COVID-19 and peaked 9, 11, and 3 days earlier than the incidence peak, respectively. For symptoms- and COVID-related Tweet counts, the cross-correlations of Tweet signals and daily cases were rTweetSymptoms = 0.868, t - 11 and tTweetCOVID = 0.840, t - 10, respectively. The LSTM forecasting model achieved the best performance (MSE = 124.78, R2 = 0.88, adjusted R2 = 0.87) using GT signals with cross-correlation coefficients >0.75. Combining GT and Tweet signals did not improve the model performance. CONCLUSION: Internet search engine queries and social media data can be used as early warning signals for creating a real-time surveillance system for COVID-19 forecasting, but challenges remain in modelling.

Adenovirus vector vaccines

Recently, importance of vaccines for treatment and prevention of emerging and re-emerging infectious diseases has been re-recognized. A replication-incompetent adenovirus（Ad） vector vaccine expressing virus antigen proteins is one of the most advanced platforms as a novel vaccine because an Ad vector vaccine can be rapidly applicable to pandemic. In this review, we describe the basic properties of an Ad vector for vaccine, in addition to the summary of the development of an Ad vector vaccine for emerging and re-emerging infectious diseases, including Coronavirus disease 2019（COVID-19）, worldwide.Alternate :抄録非増殖型アデノウイルスベクターは、in vivoへの直接投与において優れた遺伝子導入活性を示すことから、病原体由来の抗原タンパク質を発現させることにより、新興・再興感染症に対するワクチンベクターとして積極的な開発が進められてきた。最近では、新型コロナウイルス感染症（COVID-19）に対するワクチンとして、欧米中露において迅速な実用化がなされた。本稿では、アデノウイルスベクターの特性、COVID-19に対するアデノウイルスベクターワクチンの特徴、およびアデノウイルスベクターワクチンの可能性について解説する。

Biodiversity and public health interface / Biodiversidade e a interface com a saúde pública

Abstract Alongside modernity, the human activity has been a key factor in global environmental risks, with worldwide anthropic modification being the cause of the emergence of diseases for wild and livestock animals, and even humans. In special, the increase in the spatial distribution and in the incidence of some emerging infectious diseases (EID) are directly associated to deforestation and global climate changes. Moreover, the arise of new EID agents, such as the SARS-COV-2 have been reported for the last 30 years. On the other hand, biodiversity has been shown to be a key indicator for ecosystem health, and to pose a role to increase the promotion of human public health. In neotropical regions, and in special, in Brazil, several infectious diseases have been demonstrated to be directly affected for the biodiversity loss, such as malaria, hantavirus pulmonary syndrome, yellow fever, urban arboviruses, spotted fever, amongst other. To better understand the ecosystem capacity of regulation of infectious diseases, FAPESP BIOTA program have supported researchers and research projects to increase knowledge about Brazilian biodiversity and the ecosystems, such as diversity of bird bioagents, venomous animals biodiversity, diversity of mosquitos species in forest patches inside urban areas, propagation of the yellow fever virus over fragmented forest territories, loss of ecological corridors and occurrence of spotted fever and malaria, amongst others. It is noteworthy that FAPESP BIOTA is a successful program and must be expanded as an important tool for present and future public health promotion.

Resumo Junto à modernidade, a atividade humana tem sido um fator chave ligada aos riscos ambientais globais, as modificações antrópicas em âmbito mundial têm sido causa do surgimento de doenças para os animais silvestres e domésticos, bem como para o ser humano. Em especial, o incremento na distribuição espacial e incidência de doenças infecciosas emergentes (DIE) estão diretamente associados ao desmatamento e às mudanças climáticas globais, além disso, o surgimento de novos agentes de DIE, como o SARS-COV-2, tem sido relatado nos últimos 30 anos. Por outro lado, a biodiversidade tem se mostrado um indicador chave para a saúde dos ecossistemas, além de representar um papel importante na promoção da saúde pública humana. Nas regiões neotropicais, e em especial, no Brasil, várias doenças infecciosas têm demonstrado ser diretamente afetadas pela perda de biodiversidade, como a malária, a síndrome pulmonar por hantavírus, a febre amarela, as arboviroses urbanas, a febre maculosa, entre outras. Para entender melhor a capacidade ecossistêmica de regulação de doenças infecciosas, o programa BIOTA FAPESP tem apoiado pesquisadores e projetos de pesquisa para aumentar o conhecimento sobre a biodiversidade e os ecossistemas brasileiros, como a diversidade de bioagentes de aves, a biodiversidade de animais peçonhentos, a diversidade de espécies de mosquitos em fragmentos florestais dentro de áreas urbanas, a propagação do vírus da febre amarela em território florestal fragmentado, perda e isolamento de remanescentes florestais e a ocorrência de febre maculosa e malária, entre outros. Ressalta-se que o BIOTA FAPESP é um programa de sucesso e deve ser ampliado como importante ferramenta de promoção da saúde pública presente e futura.

A call to strengthen local governance for preventing and mitigating global crises.

Deforestation and land conversion have dramatic consequences to biodiversity and disease emergence, but they are also deep-rooted in historical forces involved in environmental injustice. Global guidelines tackling global crises approach the problem using top-down formulas that often fail to match local needs and priorities, and are rarely evaluated for local suitability, implications, and impacts. Motivated by the report of the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES) workshop, published in 2020, we reflect on how drivers of zoonotic disease emergence are linked to historical injustices and how global initiatives tackling global crises are prone to reproducing colonial structures. We provide examples of local governance strengthening through horizontal and interdisciplinary collaborations, and how the support of local solutions can build resilience against global crises.

The Pandemic Puzzle-Reviewing the Existing Pieces, Searching for the Missing Ones

The research carried out on socioeconomic implication models of (re)emerging infectious diseases triggering pandemics has shown us that these largely depended on infection transmission, conditioned by the type of pathogen and the human host. Also, these depended on certain external factors, such as the phenomenon of globalization, pollution, fragile health systems, modification of human behaviors, expansion of human habitat near the outbreaks, favorable vectors involved in the transmission and development of new pandemics and last but not least of wars or civil revolts. The present research attempts to provide some responses to the following questions: 1. What have been the most recent and important emerging infectious disease pandemics and what were the risk factors? 2. What was the socioeconomic impact generated by these pandemics and what important lessons did we learn/identify? 3. What measures and/or directions must be implemented/addressed to prevent/possibly stop a future wave of infections or a new pandemic? The answers to these questions are substantiated by different indicators (transmission potential and pathogen severity) through which we focused to offer some suggestions/directions regarding the way in which these pandemics could be anticipated or prevent, indicators that otherwise are already used by public authorities in the development and exploration of intervention strategies. However, through the elaboration and staged presentation of how these pandemics acted as well as the socioeconomic implications and human reactions, this research could be useful in leading to the development of new, effective ways to prevent the transmission of (re)emerging infectious diseases.

Early Stage Risk Identification and Governance of Major Emerging Infectious Diseases: A Double-Case Study Based on the Chinese Context.

Purpose: Based on the Chinese context, this study uses severe acute respiratory syndrome (SARS) and coronavirus disease 2019 (COVID-19) outbreaks as examples to identify the risk factors that lead to the major emerging infectious diseases outbreak, and put forward risk governance strategies to improve China's biosecurity risk prevention and control capabilities. Material and Methods: This study combines grounded theory and WSR methodology, and utilizes the NVivo 12.0 qualitative analysis software to identify the risk factors that led to the major emerging infectious diseases outbreak. The research data was sourced from 168 publicly available official documents, which are highly authoritative and reliable. Results: This study identified 10 categories of Wuli risk factors, 6 categories of logical Shili risk factors, and 8 categories of human Renli risk factors that contributed to the outbreak of major emerging infectious diseases. These risk factors were distributed across the early stages of the outbreak, and have different mechanisms of action at the macro and micro levels. Conclusion: This study identified the risk factors that lead to the outbreak of major emerging infectious disease, and discovered the mechanism of the outbreak at the macro and micro levels. At the macro level, Wuli risk factors are the forefront antecedents that lead to the outbreak of the crisis, Renli factors are the intermediate regulatory factors, and Shili risk factors are the back-end posterior factors. At the micro level, there are risk coupling, risk superposition, and risk resonance interactions among various risk factors, leading to the outbreak of the crisis. Based on these interactive relationships, this study proposes risk governance strategies that are helpful for policymakers in dealing with similar crises in the future.

Spatial relationship between COVID-19 and previous infectious disease outbreaks: Evidence from South Korea.

As the novel coronavirus disease (COVID-19) has been rapidly spreading across the world, scholars have started paying attention to risk factors that affect the occurrence of the infectious disease. While various urban characteristics have been shown to influence the outbreak, less is known about whether COVID-19 is more likely to be transmitted in areas with a greater number of incidents of previous infectious diseases. This study examines a spatial relationship between COVID-19 and previous infectious diseases from a spatial perspective. Using the confirmed cases of COVID-19 and other types of infectious diseases across South Korea, we identified spatial clusters through regression and spatial econometric models. We found that COVID-19-confirmed case rates tended to be clustered despite no similarity with the spatial patterns of previous infectious diseases. Existing infectious diseases from abroad were associated with the occurrence of COVID-19, while the effect diminished after controlling for the spatial effect. Our findings highlight the importance of regional-level infectious disease surveillance for the effective prevention and control of COVID-19.

The value of discharged case fatality rate in estimating the severity and epidemic trend of COVID-19 in China: a novel epidemiological study.

Aim: The main objective of this study was to explore the value of the discharged case fatality rate (DCFR) in estimating the severity and epidemic trend of COVID-19 in China. Subjects and methods: Epidemiological data on COVID-19 in China and Hubei Province were obtained from the National Health Commission of the People's Republic of China from January 20, 2020, to March 31, 2020. The number of daily new confirmed cases, daily confirmed deaths, daily recovered cases, the proportion of daily deaths and total deaths of discharged cases were collected, and the total discharge case fatality rate (tDCFR), daily discharge case fatality rate (dDCFR), and stage-discharge case fatality rate (sDCFR) were calculated. We used the R software (version 3.6.3, R core team) to apply a trimmed exact linear time method to search for changes in the mean and variance of dDCFR in order to estimate the pandemic phase from dDCFR. Results: The tDCFR of COVID-19 in China was 4.16% until March 31, 2020. According to the pattern of dDCFR, the pandemic was divided into four phases: the transmission phase (from January 20 to February 2), the epidemic phase (from February 3 to February 14), the decline phase (from February 15 to February 22), and the sporadic phase (from February 23 to March 31). The sDCFR for these four phases was 43.18% (CI 39.82-46.54%), 13.23% (CI 12.52-13.94%), 5.86% (CI 5.49-6.22%), and 1.61% (CI 1.50-1.72%), respectively. Conclusion: DCFR has great value in assessing the severity and epidemic trend of COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1007/s10389-023-01895-4.

Adenovirus vector vaccines.

Recently, importance of vaccines for treatment and prevention of emerging and re-emerging infectious diseases has been re-recognized. A replication-incompetent adenovirusAdvector DDS vaccine expressing virus antigen proteins is one of the most advanced platforms as a novel vaccine because an Ad vector vaccine can be rapidly applicable to pandemic. In this review, we describe the basic properties of an Ad vector for vaccine, in addition to the summary of the development of an Ad vector vaccine for emerging and re-emerging infectious diseases, including Coronavirus disease 2019COVID-19, worldwide.Copyright © 2022, Japan Society of Drug Delivery System. All rights reserved.

Adenovirus vector vaccines.

Recently, importance of vaccines for treatment and prevention of emerging and re-emerging infectious diseases has been re-recognized. A replication-incompetent adenovirus(Ad)vector DDS vaccine expressing virus antigen proteins is one of the most advanced platforms as a novel vaccine because an Ad vector vaccine can be rapidly applicable to pandemic. In this review, we describe the basic properties of an Ad vector for vaccine, in addition to the summary of the development of an Ad vector vaccine for emerging and re-emerging infectious diseases, including Coronavirus disease 2019(COVID-19), worldwide.Copyright © 2022, Japan Society of Drug Delivery System. All rights reserved.

Adenovirus vector vaccines.

Recently, importance of vaccines for treatment and prevention of emerging and re-emerging infectious diseases has been re-recognized. A replication-incompetent adenovirus(Ad)vector DDS vaccine expressing virus antigen proteins is one of the most advanced platforms as a novel vaccine because an Ad vector vaccine can be rapidly applicable to pandemic. In this review, we describe the basic properties of an Ad vector for vaccine, in addition to the summary of the development of an Ad vector vaccine for emerging and re-emerging infectious diseases, including Coronavirus disease 2019(COVID-19), worldwide.Copyright © 2022, Japan Society of Drug Delivery System. All rights reserved.

Tourism and emerging infectious diseases: more connections than first meet the eye

Disease outbreaks can severely disrupt the global tourism sector. New approaches for preventing infectious diseases from emerging and spreading are urgently needed to secure the prosperity of the tourism industry. This conceptual article proposes a comprehensive framework of interrelationships between tourism and emerging infectious disease. The conceptual framework highlights the pathways in which the tourism industry itself can potentially contribute to the emergence and spread of infectious diseases, including tourism-induced land changes, sourcing meat from intensive animal farms, global movement and close proximity of people, and high-risk sexual activities. Based on the interrelationships, the framework proposes tangible managerial action recommendations for tourism businesses and policy makers to contribute to the prevention of future disease outbreaks. This paper concludes with a research agenda on how scholars can support tourism practitioners and governments in reducing the likelihood of future epidemics and pandemics.