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

被引:9
作者
de Moura, Raphael Rolim [1 ,2 ]
Chiba de Castro, Wagner Antonio [3 ]
Farinhas, Joao Henrique [1 ]
Pettan-Brewer, Christina [5 ,6 ]
Kmetiuk, Louise Bach [1 ,4 ]
dos Santos, Andrea Pires [4 ]
Biondo, Alexander Welker [1 ,4 ]
机构
[1] Fed Univ Parana UFPR, Dept Vet Med, BR-80035050 Curitiba, PR, Brazil
[2] Secretariat Urban Dev & Publ Works Parana State, Coordinat Metropolitan Reg Curitiba, BR-80530140 Curitiba, PR, Brazil
[3] Fed Univ Latin Amer Integrat UNILA, Latin Amer Inst Life & Nat Sci, BR-85866000 Foz Do Iguacu, PR, Brazil
[4] Purdue Univ, Dept Comparat Pathobiol, W Lafayette, IN 47907 USA
[5] Univ Washington, Sch Med, Dept Comparat Med, Seattle, WA 98195 USA
[6] One Hlth Brasil, Foz Do Iguacu, Brazil
关键词
One Health; Epidemiology; Social vulnerability; Sustainability;
D O I
10.1016/j.onehlt.2022.100373
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
One Health has been defined as a comprehensive approach to human, animal, and environmental health, but unsuccessful in providing a specific index for city, state, or country assessment. Accordingly, the present study aimed to calculate the One Health Index (OHI) in 29 cities of the Curitiba metropolitan area, the ninth largest in Brazil. Animal and Environmental health indicators were obtained from the city secretary of environment. The social vulnerability index (SVI) was used as the overall human health indicator. The indicators were parameterized following a binary logic Principal component analysis (PCA) was applied in association with city population, per capita income, and distance from the capital Curitiba. Permutational multivariate analysis of variance (PERMANOVA) was applied using the three first coefficients of the principal components obtained from Principal Component Analysis Plot (PCA) and exploring a pairwise comparison between the scenario ranges. A value of p less than 0.05 was considered significant. Overall, a higher OHI was associated with a higher city population and income, and shorter distance from the capital, and tendency of low-income cities to present lower OHI compared to higher-income cities. In conclusion, the OHI proposed herein portrays a holistic representation of a city's overall health. Moreover, animal issues should be considered part of local to global sustainability, considering OHI to calculate sustainability indexes.
引用
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页数:7
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