Governance and One Health: Exploring the Impact of Federalism and Bureaucracy on Zoonotic Disease Detection and Reporting

Background: In the real world, medical practice is changing hand in hand with the development of new Artificial Intelligence (AI) systems and problems from different areas have been successfully solved using AI algorithms. Specifically, the use of AI techniques in setting up or building precision medicine is significant in terms of the accuracy of disease discovery and tailored treatment. Moreover, with the use of technology, clinical personnel can deliver a very much efficient healthcare service. Objective: This article reviews AI state-of-the-art in cardiovascular disease management, focusing on diagnostic and therapeutic improvements. Methods: To that end, we conducted a detailed PubMed search on AI application from distinct areas of cardiology: heart failure, arterial hypertension, atrial fibrillation, syncope and cardiovascular rehabilitation. Particularly, to assess the impact of these technologies in clinical decision-making, this research considers technical and medical aspects. Results: On one hand, some devices in heart failure, atrial fibrillation and cardiac rehabilitation represent an inexpensive, not invasive or not very invasive approach to long-term surveillance and management in these areas. On the other hand, the availability of large datasets (big data) is a useful tool to predict the development and outcome of many cardiovascular diseases. In summary, with this new guided therapy, the physician can supply prompt, individualised, and tailored treatment and the patients feel safe as they are continuously monitored, with a significant psychological effect. Conclusion: Soon, tailored patient care via telemonitoring can improve the clinical practice because AI-based systems support cardiologists in daily medical activities, improving disease detection and treatment. However, the physician-patient relationship remains a pivotal step.

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One Health, Fermented Foods, and Gut Microbiota

Foods ◽

10.3390/foods7120195 ◽

2018 ◽

Vol 7 (12) ◽

pp. 195 ◽

Cited By ~ 26

Author(s):

Victoria Bell ◽

Jorge Ferrão ◽

Lígia Pimentel ◽

Manuela Pintado ◽

Tito Fernandes

Keyword(s):

Lactic Acid ◽

Gut Microbiota ◽

One Health ◽

Inflammatory Diseases ◽

Animal Health ◽

Saturated Fat ◽

Well Being ◽

Fermented Foods ◽

Being There ◽

The Impact

Changes in present-day society such as diets with more sugar, salt, and saturated fat, bad habits and unhealthy lifestyles contribute to the likelihood of the involvement of the microbiota in inflammatory diseases, which contribute to global epidemics of obesity, depression, and mental health concerns. The microbiota is presently one of the hottest areas of scientific and medical research, and exerts a marked influence on the host during homeostasis and disease. Fermented foods and beverages are generally defined as products made by microbial organisms and enzymatic conversions of major and minor food components. Further to the commonly-recognized effects of nutrition on the digestive health (e.g., dysbiosis) and well-being, there is now strong evidence for the impact of fermented foods and beverages (e.g., yoghurt, pickles, bread, kefir, beers, wines, mead), produced or preserved by the action of microorganisms, on general health, namely their significance on the gut microbiota balance and brain functionality. Fermented products require microorganisms, i.e., Saccharomyces yeasts and lactic acid bacteria, yielding alcohol and lactic acid. Ingestion of vibrant probiotics, especially those contained in fermented foods, is found to cause significant positive improvements in balancing intestinal permeability and barrier function. Our guts control and deal with every aspect of our health. How we digest our food and even the food sensitivities we have is linked with our mood, behavior, energy, weight, food cravings, hormone balance, immunity, and overall wellness. We highlight some impacts in this domain and debate calls for the convergence of interdisciplinary research fields from the United Nations’ initiative. Worldwide human and animal medicine are practiced separately; veterinary science and animal health are generally neither considered nor inserted within national or international Health discussions. The absence of a clear definition and subsequent vision for the future of One Health may act as a barrier to transdisciplinary collaboration. The point of this mini review is to highlight the role of fermented foods and beverages on gut microbiota and debate if the need for confluence of transdisciplinary fields of One Health is feasible and achievable, since they are managed by separate sectors with limited communication.

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677. Using a Multisectoral One Health Approach to Prioritize Zoonotic Diseases in the United States

Open Forum Infectious Diseases ◽

10.1093/ofid/ofy210.683 ◽

2018 ◽

Vol 5 (suppl_1) ◽

pp. S244-S244

Author(s):

Vikram Krishnasamy ◽

Casey Barton Behravesh ◽

Kate Varela ◽

Grace Goryoka ◽

Nadia Oussayef ◽

...

Keyword(s):

United States ◽

Health Systems ◽

Disease Surveillance ◽

One Health ◽

The United States ◽

Zoonotic Disease ◽

Zoonotic Diseases ◽

Health Systems Strengthening ◽

Transmission Potential ◽

Us Government

Abstract Background Emerging and endemic zoonoses continue to have adverse global impacts. One Health approaches promoting multisectoral, transdisciplinary collaboration are important methods to address zoonoses threats through disease surveillance, prevention, control, and response. We conducted a One Health Zoonotic Disease Prioritization (OHZDP) workshop in the United States (US) to identify zoonotic diseases of greatest national concern that should be jointly addressed by the Centers for Disease Control (CDC), US Department of Agriculture (USDA), Department of the Interior, and partners. Methods We used CDC’s OHZDP tool to prioritize zoonoses. Workshop participants selected criteria for prioritization, and developed questions and weights for each criterion. Questions were answered using available literature and expert opinion with subsequent scoring resulting in a ranked zoonotic disease list. After agreeing on a final prioritized disease list, participants used components of the One Health Systems Mapping and Analysis Resource Toolkit, developed by USDA and University of Minnesota, to review multidisciplinary coordination processes for the prioritized zoonotic diseases. Results Participants selected epidemic or pandemic potential, disease severity, economic impact, introduction or increased transmission potential, and national security as criteria to prioritize 56 zoonoses. The eight prioritized zoonotic diseases for the US were zoonotic influenzas, salmonellosis, West Nile virus, plague, emerging coronaviruses (e.g., SARS, MERS), rabies, brucellosis, and Lyme disease. Agencies then discussed recommendations to enhance One Health approaches to surveillance, response, prevention, and control of the prioritized zoonoses. Key themes and next steps for further implementation of One Health approaches were identified. Conclusion This OHZDP workshop represents the first use of a One Health approach to zoonotic disease prioritization in the United States. It is a critical step forward in US government agency collaboration using One Health approaches. Further, the workshop created a foundation for future US government One Health systems strengthening for the prioritized zoonoses. Disclosures All authors: No reported disclosures.

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The Impact of COVID-19 Outbreak in Italy on the Sustainable Food Consumption Intention From a “One Health” Perspective

Frontiers in Nutrition ◽

10.3389/fnut.2021.622122 ◽

2021 ◽

Vol 8 ◽

Author(s):

Greta Castellini ◽

Mariarosaria Savarese ◽

Guendalina Graffigna

Keyword(s):

Human Health ◽

Online Survey ◽

One Health ◽

Food Products ◽

World Health ◽

Italian Economy ◽

Psychological Reactions ◽

Sustainable Food ◽

Close Link ◽

The Impact

Coronavirus disease (COVID-19) is a transmissible illness that was recognized in December 2019 and World Health Organization (WHO) stated a pandemic on 11 March 2020. As no cure has been developed for COVID-19 disease yet, Italy has adopted restrictive measures to avoid the spread of the virus, causing different psychological reactions (e.g., stress, anxiety) that lead people to change lifestyle and in particular the consumer orientation toward food. In addition, the COVID-19 emergency had also affected the Italian economy, causing an 11.3% decrease in GDP (gross domestic product). All these changes gave rise to a sense of instability, but it is known that new possibilities may arise in these situations. In particular, the pandemic could be the turning point to make consumers aware of the close link between human health and the ecosystems, supporting the “One Health” perspective and enhancing the orientation to consumer sustainable food products. However, little is known about how the psychological reactions to COVID-19 emergency have affected the consumers' intention to purchase sustainable food products. In order to answer these questions, a representative sample of 1,004 Italian citizens, extracted by stratified sampling, answered an online survey between May the 12th and 18th 2020. The data were analyzed using ANOVA and contingency tables. The results show that during phase one of COVID-19 disease about 30% of the sample reported that have frequently (often and always) consumed the certified sustainable food products and about 20% of the sample have intention to increase the consumption of them in the next 6 months, percentages that increase among those who feel more vulnerable regarding the risk contagion. Moreover, the psychological impact of the COVID-19 emergency has led to a change in consumers' attitudes, increasing the interest in animal and environmental issues and in human health. These aspects seem to drive the future intention of purchasing sustainable food products. This research highlights how the psychological reactions to the health emergency have changed the consumers' attitudes toward sustainability issues, leading them to follow a more sustainable diet that is recognized as a way to preserve human health, environmental preservation, and animal welfare for present and future generations.

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A One Health Perspective on Q Fever

Global Applications of One Health Practice and Care - Advances in Medical Diagnosis, Treatment, and Care ◽

10.4018/978-1-5225-6304-4.ch009 ◽

2019 ◽

pp. 195-216

Author(s):

Rita Cruz ◽

Carmen Vasconcelos-Nobrega ◽

Fernando Esteves ◽

Catarina Coelho ◽

Ana Sofia Ferreira ◽

...

Keyword(s):

Public Health ◽

Disease Control ◽

One Health ◽

Q Fever ◽

Clinical Manifestations ◽

Zoonotic Disease ◽

Diagnostic Methods ◽

Veterinary Public Health

Q fever, a widespread zoonotic disease caused by Coxiella burnetiid, produces a complex and polymorphic disease in humans. As a zoonotic disease, control in animals will influence the level of disease seen in humans, thus resulting in interesting one health perspectives for disease control. Here the authors describe the clinical manifestations in animals and humans, as well as the current diagnostic methods available and the strategies for disease control. A review on the published information regarding Q fever as a disease with impact for veterinary public health and public health is presented.

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One Health Paradigm: Review on the Challenges of Tackling Zoonotic Disease

Journal of Veterinary Science & Technology ◽

10.4172/2157-7579.1000553 ◽

2018 ◽

Vol 09 (04) ◽

Author(s):

Tekalign Tadesse ◽

Endalu Mulatu

Keyword(s):

One Health ◽

Zoonotic Disease

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Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection

Symmetry ◽

10.3390/sym11070939 ◽

2019 ◽

Vol 11 (7) ◽

pp. 939 ◽

Cited By ~ 28

Author(s):

Marko Arsenovic ◽

Mirjana Karanovic ◽

Srdjan Sladojevic ◽

Andras Anderla ◽

Darko Stefanovic

Keyword(s):

Deep Learning ◽

Plant Disease ◽

Real Life ◽

Weather Conditions ◽

Plant Diseases ◽

Disease Classification ◽

Generative Adversarial Networks ◽

Disease Detection ◽

Single Leaf ◽

The Impact

Plant diseases cause great damage in agriculture, resulting in significant yield losses. The recent expansion of deep learning methods has found its application in plant disease detection, offering a robust tool with highly accurate results. The current limitations and shortcomings of existing plant disease detection models are presented and discussed in this paper. Furthermore, a new dataset containing 79,265 images was introduced with the aim to become the largest dataset containing leaf images. Images were taken in various weather conditions, at different angles, and daylight hours with an inconsistent background mimicking practical situations. Two approaches were used to augment the number of images in the dataset: traditional augmentation methods and state-of-the-art style generative adversarial networks. Several experiments were conducted to test the impact of training in a controlled environment and usage in real-life situations to accurately identify plant diseases in a complex background and in various conditions including the detection of multiple diseases in a single leaf. Finally, a novel two-stage architecture of a neural network was proposed for plant disease classification focused on a real environment. The trained model achieved an accuracy of 93.67%.

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The Burden Of Illness and Prevalence In Diffuse Large B-Cell (DLBCL) and Follicular (FL) Lymphomas

Blood ◽

10.1182/blood.v122.21.5619.5619 ◽

2013 ◽

Vol 122 (21) ◽

pp. 5619-5619 ◽

Cited By ~ 1

Author(s):

Edward J Dulac III ◽

Karen A Joy ◽

Roger Ndindjock ◽

Katharine B Coyle ◽

Rolin L Wade

Keyword(s):

One Health ◽

Burden Of Illness ◽

Economic Study ◽

Health Economic Study ◽

Novel Treatment ◽

The Us ◽

Using Data ◽

The Impact ◽

Large B Cell

Abstract Introduction In non-Hodgkin lymphoma (NHL), particularly diffuse large B-cell (DLBCL) and follicular (FL) lymphomas, the prevalence, burden of disease, including that of relapse/recurrence, and quality of life (QoL) play a role in how novel treatment strategies are evaluated. We conducted a literature review to identify whether the current understanding of the prevalence, burden of illness (BOI) including QoL in these two predominant NHL histologies is sufficient to support novel treatment and resource allocation decisions. Methods Using EMBASE, PubMed, Cochrane, conference abstracts, treatment guidelines, and government, business and industry literature such as data from the WHO, we identified estimates for prevalence and BOI, defined as disease-related costs and QoL, for DLBCL and FL, from 2005 to 2013 in the US and EU5 (France, Germany, Italy, Spain, UK). In addition to appropriate MeSH (Medical Subject Headings) terms, search terms included, but were not limited to, burden of illness, quality of life, QoL, HRQoL, cost, direct cost, resource use, resource utilization, economic, incidence, prevalence, epidemiology, and mortality. Findings BOI-related information within DLBCL and FL are very limited and antiquated DLBCL Only one health economic study was identified – a US study using data from 1999-2000 in patients with aggressive NHL, including DLBCL (Kutikova et al. Leuk Lymphoma. 2006). Among the patients receiving initial treatment, which did not include the current standard of care R-CHOP, 68% of patients experienced treatment failure. The incremental cost of treatment failure was $14,174 per month, driven by higher initial treatment costs ($13,866 vs $4,754) and the need for secondary and/or palliative care ($5,062). However, these data may not accurately depict relapse rates and costs associated with more current standards of care. For QoL, one study was identified in DLBCL, a US based study in the elderly. The NCI sponsored Surveillance, Epidemiology, and End Results-Medical Health Outcomes Survey database was used to evaluate QoL in elderly DLBCL patients using the Short Form (SF-36) Health Survey. Patients surveyed 0–1 year after the diagnosis of DLBCL had poor QoL scores (physical component [PCS] median=33.6, mental component [MCS] median=40.8, poor self-rated health: 51.6%) (Kelly et al. Blood. 2012). FL Only one health economic study was identified – a US study using data from 2006-2009 which estimated the cost of disease progression. Results showed that mean overall per patient per month (PPPM) costs over the 6-month follow-up were significantly higher for patients with progressive disease (PD) vs non-PD ($3527 vs. $860; difference=$ 2667; p<0.001) (Beveridge et al. Leuk Lymphoma. 2011). One QoL study was identified, a UK study that reported statistically significant differences by disease state using multiple QoL instruments. The total scores derived from the Functional Assessment of Cancer Therapy – Lymphoma (FACT-Lym) questionnaire showed that relapsed patients have lower QoL scores (109.7) than newly diagnosed patients (136.4), those achieving partial (128.81) or complete response (133.28), or when disease free (135.26) (p = 0.001) (Pettengell et al. Ann of Oncol. 2008). Regarding prevalence data, in the EU5, prevalence of DLBCL ranges from 30 – 58% of NHL cases and in the US estimates range from 25 – 35%. Prevalence of FL is lower, ranging from 11 – 19% in the EU5 and 20 – 25% in the US. Regarding the prevalence of relapse/recurrent disease, one-third of DLBCL patients are either relapsed or refractory after standard therapy (Friedberg. Clin Cancer Res. 2011; Abramson et al. Blood. 2005). Conclusions Currently available data related to BOI and prevalence are limited and dated making it difficult to accurately assess the impact of DLBCL and FL on patients and healthcare systems. In the absence of renewed information it may be challenging to quantify the incremental impact that novel regimens may have on clinical outcomes, BOI, and QoL. While NHL mortality has steadily decreased over the past few decades as treatment options have improved, updated and accurate epidemiologic and BOI data are needed to better characterize the impact that novel treatments in development may have on the overall clinical, BOI and patient-reported outcomes in DBLCL and FL. Disclosures: Dulac: Celgene Corporation: Employment. Joy: IMS Health: Employment. Ndindjock: IMS Health: Employment. Coyle: IMS Health: Employment. Wade: IMS Health: Employment, Research Funding.

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The bibliometric landscape of infectious disease research in Panama (1990 - 2019): An evaluation of the country’s capability on One Health

10.21203/rs.3.rs-51064/v2 ◽

2020 ◽

Author(s):

Jose Loaiza ◽

Robinson Zapata ◽

Rao Kosagisharaf ◽

Rolando A. Gittens ◽

Enrique Mendoza ◽

...

Keyword(s):

Infectious Disease ◽

Infectious Diseases ◽

One Health ◽

Scientific Publications ◽

Strategic Investment ◽

Disease Research ◽

Infectious Disease Research ◽

Health Related ◽

Number Of Publications ◽

The Impact

Abstract Background: This work aims to analyze the landscape of scientific publications on subjects related to One Health and infectious diseases in Panama. Methods: Boolean searches on the Web of Science, SCOPUS and PubMed were undertaken to evaluate the main trends of publications related to One Health and infectious disease research in the country of Panama, between 1990 and 2019. Results: 4,547 publications were identified since 1990, including 3,564 peer-reviewed articles interconnected with One Health related descriptors, and 211 articles focused particularly on infectious diseases. There was a pattern of exponential growth in the number of publications with various contributions from Panamanian institutions. The rates of multidisciplinary, inter-institutional and inter-sectoral research ranged from moderate to low, to very low, respectively. Research efforts have centered largely on protozoan, neglected and arthropod-borne diseases with a strong emphasis on malaria, Chagas and leishmaniasis. Conclusion: Panama has scientific capabilities on One Health to tackle future infectious disease threats, but the official collaboration schemes and strategic investment to develop further competencies need to be considered. Through future collaborative efforts, Panama can reduce the risk of pandemics by developing surveillance strategies to improve the prediction of disease spillover, spread and persistence while helping to mitigate the impact on public health and the economy, regionally.

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