One Health Index (OHI) applied to Curitiba, the ninth-largest metropolitan area of Brazil, with concomitant assessment of animal, environmental, and human health indicators

Moura, Raphael Rolim de; Castro, Wagner Antônio Chiba de; Farinhas, João Henrique; Pettan-Brewer, Christina; Kmetiuk, Louise Bach; Santos, Andrea Pires dos; Biondo, Alexander Welker

doi:10.1016/j.onehlt.2022.100373

Cited by 8 publications

(6 citation statements)

References 7 publications

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“…The vast majority of these indicators were not used as direct metrics to model spatial facilitation of disease spread but were instead discussed as factors that may affect One Health. Table 1 compiles the list of indicators extracted from the review and provides the main references that supported their use as surrogates for aspects that go against the One Health concept ( 9 , 14 , 40 , 66–161 ).…”

Section: Results and Discussion: A Case Study In The Valencian Commun...mentioning

confidence: 99%

“…However, we could not find any studies specifically addressing how these spatial conditions could represent susceptibility or weaknesses that contribute to the faster, stronger, or broader spread of zoonotic diseases. Apart from the previously mentioned approaches, some authors have worked on developing indicators to better understand One Health conditions ( 8 , 9 , 40 ), but they used qualitative research based on binary logic, were conducted at the regional/national scale, or were somehow not holistic and complex enough to capture all the conditions prevailing in the area. In other words, to address a given area using the One Health framework, holistic tools to assess its spatial susceptibility need to be developed.…”

Section: Introductionmentioning

confidence: 99%

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Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Jato-Espino

Mayor-Vitoria

Moscardó

et al. 2023

Front. Public Health

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Recurrent outbreaks of zoonotic infectious diseases highlight the importance of considering the interconnections between human, animal, and environmental health in disease prevention and control. This has given rise to the concept of One Health, which recognizes the interconnectedness of between human and animal health within their ecosystems. As a contribution to the One Health approach, this study aims to develop an indicator system to model the facilitation of the spread of zoonotic diseases. Initially, a literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement to identify relevant indicators related to One Health. The selected indicators focused on demographics, socioeconomic aspects, interactions between animal and human populations and water bodies, as well as environmental conditions related to air quality and climate. These indicators were characterized using values obtained from the literature or calculated through distance analysis, geoprocessing tasks, and other methods. Subsequently, Multi-Criteria Decision-Making (MCDM) techniques, specifically the Entropy and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, were utilized to combine the indicators and create a composite metric for assessing the spread of zoonotic diseases. The final indicators selected were then tested against recorded zoonoses in the Valencian Community (Spain) for 2021, and a strong positive correlation was identified. Therefore, the proposed indicator system can be valuable in guiding the development of planning strategies that align with the One Health principles. Based on the results achieved, such strategies may prioritize the preservation of natural landscape features to mitigate habitat encroachment, protect land and water resources, and attenuate extreme atmospheric conditions.

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Section: Results and Discussion: A Case Study In The Valencian Commun...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Jato-Espino

Mayor-Vitoria

Moscardó

et al. 2023

Front. Public Health

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“…The indicators were parameterized following a binary logic, in which “yes” responses were one and “no” responses were zero, as previously established ( 16 ).…”

Section: Methodsmentioning

confidence: 99%

“…The One Health approach, defined as a holistic assessment of human, animal, and environmental health, has reportedly been used to better understand zoonotic diseases in hoarding disorder cases, as previously shown by our research group for leptospirosis and toxoplasmosis ( 13 – 15 ). In addition, our group has also recently proposed and applied a One Health Index (OHI) to comprehensively measure human, animal, and environmental health indicators in Curitiba as a tool for the worldwide assessment of major metropolitan areas ( 16 ).…”

Section: Introductionmentioning

confidence: 99%

Association of hoarding case identification and animal protection programs to socioeconomic indicators in a major metropolitan area of Brazil

et al. 2022

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The present study assessed the identification of animal and object hoarding disorder cases by contact and mapping and the presence of animal protection programs in association with seven social–economic indicators of the metropolitan area of the ninth-biggest metropolitan area of Brazil. City Secretaries of Health and Environment provided demographic information and responded to a questionnaire. Overall, a very high level of hoarding case identification per municipality was associated with a higher Human Development Index, population, density, and income and related to distance from Curitiba, the capital of Parana State. Low and very low levels of hoarding case identification were related to greater area, higher Social Vulnerability Index (SVI), inequality, illiteracy, and rural areas. Very high identification level of animal protection programs was also associated with higher HDI, density and population, urban area, and high income, and geographical area. Similarly, low and very low levels of animal protection programs identification were major explained by low income, illiteracy, and distance related to higher population, urbanization, and higher HDI. In summary, better identification of hoarding cases and animal protection programs have shown an association with better socioeconomic indicators and higher population, density, and urban area. Whether municipalities with better human socioeconomic indicators may stimulate society's demands for identification of cases of individuals with hoarding disorder and animal programs should be further established. Regardless, animal health and welfare have been associated with improving human quality of life in a major Brazilian metropolitan area.

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“…As the information architecture illustrates, relevant data are abstracted from teleservices, and subsequently processed to be finally integrated and transformed to allow it to be stored in data lakes or data warehouses. These processes would facilitate linkage with indicator data in One Health contexts [33]. Additionally, the stored data can be used to assess and estimate indicators that are defined and managed in the "Management of One Health Indicators" module.…”

Section: Our Position: Telehealth As a Core Component Of One Healthmentioning

confidence: 99%

Telehealth as a Component of One Health: a Position Paper

Basu,

Rajput,

Ito

et al. 2023

Yearb Med Inform

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Introduction: One Health (OH) refers to the integration of human, animal, and ecosystem health within one framework in the context of zoonoses, antimicrobial resistance and stewardship, and food security. Telehealth refers to distance delivery of healthcare. A systems approach is central to both One Health and telehealth, and telehealth can be a core component of One Health. Here we explain how telehealth might be integrated into One Health. Methods: We have considered antimicrobial resistance (AMR) as a use case where both One Health and telehealth can be used for coordination among the farming sector, the veterinary services, and human health providers to mitigate the risk of AMR. We conducted a narrative review of the literature to develop a position on the inter-relationships between telehealth and One Health. We have summarised how telehealth can be incorporated within One Health. Results: Clinicians have used telehealth to address antimicrobial resistance, zoonoses, food borne infection, improvement of food security and antimicrobial stewardship. We identified little existing evidence in support of the usage of telehealth within a One Health paradigm, although in isolation, both are useful for the same purpose, i.e., mitigation of the significant public health risks posed by zoonoses, food borne infections, and antimicrobial resistance. Conclusions: It is possible to integrate telehealth within a One Health framework to develop effective inter-sectoral communication essential for the mitigation and addressing of zoonoses, food security, food borne infection containment and antimicrobial stewardship. More research is needed to substantiate and investigate this model of healthcare.

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One Health Index (OHI) applied to Curitiba, the ninth-largest metropolitan area of Brazil, with concomitant assessment of animal, environmental, and human health indicators

Cited by 8 publications

References 7 publications

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Toward One Health: a spatial indicator system to model the facilitation of the spread of zoonotic diseases

Association of hoarding case identification and animal protection programs to socioeconomic indicators in a major metropolitan area of Brazil

Telehealth as a Component of One Health: a Position Paper

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