Collaboration between human and veterinary medicine as a tool to solve public health problems

Giusti, Maria De; Barbato, D; Lia, Lorenza; Colamesta, Vittoria; Lombardi, Anna Maria; Cacchio, Domenico; Villari, Paolo; Torre, Giuseppe La

doi:10.1016/s2542-5196(18)30250-x

Cited by 19 publications

(16 citation statements)

References 8 publications

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“…One Health is a multidisciplinary approach that acknowledges the synergy between human and animal health and their shared environment. This idea is not new; the noted nineteenth-century pathologist (and originator of the term zoonosis) Rudolph Virchow famously asserted in 1858 that “between animal and human medicine, there are no dividing lines—nor should there be” [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

et al. 2022

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Dengue fever is a serious and growing public health problem in Latin America and elsewhere, intensified by climate change and human mobility. This paper reviews the approaches to the epidemiological prediction of dengue fever using the One Health perspective, including an analysis of how Machine Learning techniques have been applied to it and focuses on the risk factors for dengue in Latin America to put the broader environmental considerations into a detailed understanding of the small-scale processes as they affect disease incidence. Determining that many factors can act as predictors for dengue outbreaks, a large-scale comparison of different predictors over larger geographic areas than those currently studied is lacking to determine which predictors are the most effective. In addition, it provides insight into techniques of Machine Learning used for future predictive models, as well as general workflow for Machine Learning projects of dengue fever.

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Section: Introductionmentioning

confidence: 99%

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

et al. 2022

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“…Las zoonosis son una problemática en ascenso, más de tres cuartos de los patógenos que afectan a humanos surgidos en las últimas décadas tienen conexión con animales (49) . En los últimos años se ha puesto énfasis sobre la importancia del vínculo entre las enfermedades en los animales, la salud pública y el medio ambiente, reflejado esto en el relativamente reciente tratamiento de la salud como un concepto único, bajo el lema de "una salud" ("One Health") (50) .…”

Section: Discussionunclassified

Fiebre Q

2022

RMU

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“…The collaboration at the provider level, especially between physicians and veterinarians, were found to be very poor. However, there is some supportive global evidence that OH collaboration at the provider level is possible through case referral systems or combined OH clinics [71,72]. A study by Speare et al, explored the possibilities for physicians and veterinarians to formally collaborate in managing zoonoses in clinical situations and documented that 90% of actors agreed to collaborate if the appropriate insurance covers the cost [73].…”

Section: Discussionmentioning

confidence: 99%

‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India

et al. 2020

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The surging trend of (re)emerging diseases urges for the early detection, prevention, and control of zoonotic infections through the One Health (OH) approach. The operationalization of the OH approach depends on the contextual setting, the presence of the actors across the domains of OH, and the extent of their involvement. In the absence of national operational guidelines for OH in India, this study aims to identify potential actors with an attempt to understand the current health system network strength (during an outbreak and non-outbreak situations) at the local health system of Ahmedabad, India. This case study adopted a sequential mixed methods design conducted in two phases. First, potential actors who have been involved directly or indirectly in zoonoses prevention and control were identified through in-depth interviews. A network study was conducted as part of the second phase through a structured network questionnaire. Interest and influence matrix, average degree, network density, and degree of centralization were calculated through Atlas.Ti (ATLAS.ti Scientific Software Development GmbH, Berlin, Germany), UCINET (Analytic Technologies, Lexington, KY, USA) software. The identified actors were categorized based on power, administrative level (either at the city or district level), and their level of action: administrative (policy planners, managers), providers (physicians, veterinarians), and community (health workers, community leaders). The matrix indicated that administrative actors from the district level were ‘context setters’ and the actors from the city level were either ‘players’ or ‘subjects’. The network density showed a strength of 0.328 during the last outbreak of H5N1, which decreased to 0.163 during the non-outbreak situation. Overall, there was low collaboration observed in this study, which ranged from communication (during non-outbreaks) to coordination (during outbreaks). The private and non-governmental actors were not integrated into collaborative activities. This study concludes that not only collaboration is needed for OH among the sectors pertaining to the human and the animal health system but also better structured (‘inter-level’) collaboration across the governance levels for effective implementation.

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Collaboration between human and veterinary medicine as a tool to solve public health problems

Cited by 19 publications

References 8 publications

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review

Fiebre Q

‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India

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