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Rivas AL, Smith SD, Basiladze V, Chaligava T, Malania L, Burjanadze I, Chichinadze T, Suknidze N, Bolashvili N, Hoogesteijn AL, Gilbertson K, Bertram JH, Fair JM, Webb CT, Imnadze P, Kosoy M. Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia. Front Vet Sci 2023; 10:1270505. [PMID: 38179332 PMCID: PMC10765567 DOI: 10.3389/fvets.2023.1270505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/27/2023] [Indexed: 01/06/2024] Open
Abstract
Introduction Control of zoonosis can benefit from geo-referenced procedures. Focusing on brucellosis, here the ability of two methods to distinguish disease dissemination patterns and promote cost-effective interventions was compared. Method Geographical data on bovine, ovine and human brucellosis reported in the country of Georgia between 2014 and 2019 were investigated with (i) the Hot Spot (HS) analysis and (ii) a bio-geographical (BG) alternative. Results More than one fourth of all sites reported cases affecting two or more species. While ruminant cases displayed different patterns over time, most human cases described similar geo-temporal features, which were associated with the route used by migrant shepherds. Other human cases showed heterogeneous patterns. The BG approach identified small areas with a case density twice as high as the HS method. The BG method also identified, in 2018, a 2.6-2.99 higher case density in zoonotic (human and non-human) sites than in non-zoonotic sites (which only reported cases affecting a single species) -a finding that, if corroborated, could support cost-effective policy-making. Discussion Three dissemination hypotheses were supported by the data: (i) human cases induced by sheep-related contacts; (ii) human cases probably mediated by contaminated milk or meat; and (iii) cattle and sheep that infected one another. This proof-of-concept provided a preliminary validation for a method that may support cost-effective interventions oriented to control zoonoses. To expand these findings, additional studies on zoonosis-related decision-making are recommended.
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Affiliation(s)
- Ariel L. Rivas
- Center for Global Health, Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, NM, United States
| | | | - V. Basiladze
- National Food Agency, Ministry of Environmental Protection and Agriculture of Georgia, Tbilisi, Georgia
| | - Tengiz Chaligava
- National Food Agency, Ministry of Environmental Protection and Agriculture of Georgia, Tbilisi, Georgia
| | - Lile Malania
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | - Irma Burjanadze
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | - Tamar Chichinadze
- Vakhushti Bagrationi Institute of Geography, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia
| | - Nikoloz Suknidze
- Vakhushti Bagrationi Institute of Geography, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia
| | - Nana Bolashvili
- Vakhushti Bagrationi Institute of Geography, Ivane Javakhishvili Tbilisi State University, Tbilisi, Georgia
| | | | - Kendra Gilbertson
- Graduate Degree Program in Ecology, Department of Biology, Colorado State University, Fort Collins, CO, United States
| | - Jonathan H. Bertram
- Graduate Degree Program in Ecology, Department of Biology, Colorado State University, Fort Collins, CO, United States
| | - Jeanne Marie Fair
- Genomics and Bioanalytics, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Colleen T. Webb
- Graduate Degree Program in Ecology, Department of Biology, Colorado State University, Fort Collins, CO, United States
| | - Paata Imnadze
- National Center for Disease Control and Public Health, Tbilisi, Georgia
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Jung S, Moon J, Hwang E. Erratum: Jung, S., et al. Cluster-Based Analysis of Infectious Disease Occurrences Using Tensor Decomposition: A Case Study of South Korea. Int. J. Environ. Res. Public Health 2020, 17, 4872. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17249493. [PMID: 33353257 PMCID: PMC7766136 DOI: 10.3390/ijerph17249493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 12/16/2020] [Indexed: 11/18/2022]
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