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Neves JMM, Belo VS, Catita CMS, de Oliveira BFA, Horta MAP. Modeling of Human Rabies Cases in Brazil in Different Future Global Warming Scenarios. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:212. [PMID: 38397701 PMCID: PMC10888213 DOI: 10.3390/ijerph21020212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/22/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024]
Abstract
Bat species have been observed to have the potential to expand their distribution in response to climate change, thereby influencing shifts in the spatial distribution and population dynamics of human rabies cases. In this study, we applied an ensemble niche modeling approach to project climatic suitability under different future global warming scenarios for human rabies cases in Brazil, and assessed the impact on the probability of emergence of new cases. We obtained notification records of human rabies cases in all Brazilian cities from January 2001 to August 2023, as reported by the State and Municipal Health Departments. The current and future climate data were sourced from a digital repository on the WorldClim website. The future bioclimatic variables provided were downscaled climate projections from CMIP6 (a global model ensemble) and extracted from the regionalized climate model HadGEM3-GC31-LL for three future socioeconomic scenarios over four periods (2021-2100). Seven statistical algorithms (MAXENT, MARS, RF, FDA, CTA, GAM, and GLM) were selected for modeling human rabies. Temperature seasonality was the bioclimatic variable with the highest relative contribution to both current and future consensus models. Future scenario modeling for human rabies indicated a trend of changes in the areas of occurrence, maintaining the current pace of global warming, population growth, socioeconomic instability, and the loss of natural areas. In Brazil, there are areas with a higher likelihood of climatic factors contributing to the emergence of cases. When assessing future scenarios, a change in the local climatic suitability is observed that may lead to a reduction or increase in cases, depending on the region.
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Affiliation(s)
| | - Vinicius Silva Belo
- Laboratory of Parasitology, Federal University of São João del-Rei, Divinopolis 36307-352, Brazil;
| | - Cristina Maria Souza Catita
- Department of Geographic Engineering, Geophysics and Energy, University of Lisbon, Lisbon 1649-004, Portugal;
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Gual-Gonzalez L, Self SCW, Zellars K, Meyer M, Dye-Braumuller KC, Evans CL, Cantillo-Barraza O, Torres MW, Nolan MS. Eco-epidemiology of Rickettsia amblyommatis and Rickettsia parkeri in naturally infected ticks (Acari: Ixodida) from South Carolina. Parasit Vectors 2024; 17:33. [PMID: 38273414 PMCID: PMC10811935 DOI: 10.1186/s13071-023-06099-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 12/14/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Spotted fever group Rickettsia (SFGR) is the largest group of Rickettsia species of clinical and veterinary importance emerging worldwide. Historically, SFGR cases were linked to Rickettsia rickettsii, the causal agent of Rocky Mountain spotted fever; however, recently discovered species Rickettsia parkeri and Rickettsia amblyommatis have been shown to cause a wide range of clinical symptoms. The role of R. amblyommatis in SFGR eco-epidemiology and the possible public health implications remain unknown. METHODS This study evaluated statewide tick surveillance and land-use classification data to define the eco-epidemiological relationships between R. amblyommatis and R. parkeri among questing and feeding ticks collected across South Carolina between 2021 and 2022. Questing ticks from state parks and feeding ticks from animal shelters were evaluated for R. parkeri and R. amblyommatis using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) on pooled samples. A Bayesian multivariable logistic regression model for pool testing data was used to assess associations between R. parkeri or R. amblyommatis infection and land-use classification variables among questing ticks. The Spearman correlation was used to evaluate the relationship between the two tested pathogens. RESULTS The infection prevalence for R. amblyommatis was 24.8% (23.4-26.3%) among questing ticks, and 39.5% (37.4-42.0%) among feeding ticks; conversely, for R. parkeri it was 19.0% (17.6-20.5%) among questing ticks and 22.4% (20.3-24.5%) among feeding ticks. A negative, refractory correlation was found between the species, with ticks significantly more likely to contain one or the other pathogen, but not both simultaneously. The Bayesian analysis revealed that R. amblyommatis infection was positively associated with deciduous, evergreen, and mixed forests, and negatively associated with hay and pasture fields, and emergent herbaceous wetlands. Rickettsia parkeri infection was positively associated with deciduous, mixed, and evergreen forests, herbaceous vegetation, cultivated cropland, woody wetlands, and emergent herbaceous wetlands, and negatively associated with hay and pasture fields. CONCLUSIONS This is the first study to evaluate the eco-epidemiological factors driving tick pathogenicity in South Carolina. The negative interactions between SFGR species suggest the possible inhibition between the two pathogens tested, which could have important public health implications. Moreover, land-use classification factors revealed environments associated with tick pathogenicity, highlighting the need for tick vector control in these areas.
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Affiliation(s)
- Lídia Gual-Gonzalez
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
| | - Stella C W Self
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
| | - Kia Zellars
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
| | - Madeleine Meyer
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
| | | | - Chris L Evans
- Vector-Borne Diseases Laboratory, South Carolina Department of Health and Environmental Control, South Carolina Public Health Laboratory, Columbia, SC, USA
| | - Omar Cantillo-Barraza
- Grupo de Biología y Control de Enfermedades Infecciosas, Universidad de Antioquia, Medellín, Colombia
| | - Myriam W Torres
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
| | - Melissa S Nolan
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.
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Ribeiro R, Matthiopoulos J, Lindgren F, Tello C, Zariquiey CM, Valderrama W, Rocke TE, Streicker DG. Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir. Proc Biol Sci 2023; 290:20231739. [PMID: 37989240 PMCID: PMC10688441 DOI: 10.1098/rspb.2023.1739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 10/30/2023] [Indexed: 11/23/2023] Open
Abstract
Predicting the spatial occurrence of wildlife is a major challenge for ecology and management. In Latin America, limited knowledge of the number and locations of vampire bat roosts precludes informed allocation of measures intended to prevent rabies spillover to humans and livestock. We inferred the spatial distribution of vampire bat roosts while accounting for observation effort and environmental effects by fitting a log Gaussian Cox process model to the locations of 563 roosts in three regions of Peru. Our model explained 45% of the variance in the observed roost distribution and identified environmental drivers of roost establishment. When correcting for uneven observation effort, our model estimated a total of 2340 roosts, indicating that undetected roosts (76%) exceed known roosts (24%) by threefold. Predicted hotspots of undetected roosts in rabies-free areas revealed high-risk areas for future viral incursions. Using the predicted roost distribution to inform a spatial model of rabies spillover to livestock identified areas with disproportionate underreporting and indicated a higher rabies burden than previously recognized. We provide a transferrable approach to infer the distribution of a mostly unobserved bat reservoir that can inform strategies to prevent the re-emergence of an important zoonosis.
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Affiliation(s)
- Rita Ribeiro
- School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, University Avenue, Graham Kerr Building, Glasgow G12 8QQ, UK
| | - Jason Matthiopoulos
- School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, University Avenue, Graham Kerr Building, Glasgow G12 8QQ, UK
| | - Finn Lindgren
- School of Mathematics, University of Edinburgh, Edinburgh, UK
| | - Carlos Tello
- ILLARIY (Asociación para el Desarrollo y Conservación de los Recursos Naturales), Lima, Perú
- Yunkawasi, Lima, Perú
| | - Carlos M. Zariquiey
- ILLARIY (Asociación para el Desarrollo y Conservación de los Recursos Naturales), Lima, Perú
| | - William Valderrama
- ILLARIY (Asociación para el Desarrollo y Conservación de los Recursos Naturales), Lima, Perú
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Tonie E. Rocke
- National Wildlife Health Center, US Geological Survey, Madison, Wisconsin, USA
| | - Daniel G. Streicker
- School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, University Avenue, Graham Kerr Building, Glasgow G12 8QQ, UK
- Medical Research Council—University of Glasgow Centre for Virus Research, Glasgow, UK
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Sodré DNA, Rossi GAM, Mathias LA, de Andrade Belo MA. Epidemiology and Control of Rabies in Cattle and Equines in Rondônia State, a Brazilian's Legal Amazon Area. Animals (Basel) 2023; 13:2974. [PMID: 37760375 PMCID: PMC10526067 DOI: 10.3390/ani13182974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Rabies is a fatal neglected tropical zoonosis, and its significance for domestic herbivores in the rural cycle is probably associated with rainforest deforestation, livestock, and agricultural expansion. This epidemiological survey aimed to study the occurrence of rabies in bovines and equines in the state of Rondônia, located in the Brazilian's Legal Amazon, between the years 2002 and 2021, correlating these findings with the prophylactic strategies adopted by the local sanitary agency for rabies control. During this period, 201 cases were observed in bovines and 23 in equines. A downward trend in rabies incidence was observed for both domestic herbivores. Rabies did not show a higher occurrence in any specific time of the year, and epidemic periods varied during some years for bovines and equines. Using the Generalized estimating equations (GEE) method, a multiple model approach was obtained with the explanatory variables significantly associated with the decrease in rabies incidence in cattle and horses during the study period: the ratio of treated bats and ratio of vaccine doses sold. Furthermore, the ratio of printed educative material was positively associated with rabies incidence. Despite a decreasing trend in rabies occurrences in this Amazon rainforest area, likely due to the actions taken by the animal sanitary agency, rabies remains endemic and requires monitoring, as well as prophylactic strategies to control this disease.
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Affiliation(s)
- Débora Naihane Alves Sodré
- IDARON—Agency of Agrosilvopastoral Sanitary Defense of Rondônia State, Cacoal 76964-062, RO, Brazil
- Department of Veterinary Medicine, Brazil University (UB), Descalvado 13690-000, SP, Brazil
| | | | - Luis Antonio Mathias
- Department of Pathology, Reproduction and One Health, São Paulo State University (UNESP), Jaboticabal 14884-900, SP, Brazil
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Brown N, Escobar LE. A review of the diet of the common vampire bat ( Desmodus rotundus) in the context of anthropogenic change. Mamm Biol 2023; 103:1-21. [PMID: 37363038 PMCID: PMC10258787 DOI: 10.1007/s42991-023-00358-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 03/30/2023] [Indexed: 06/28/2023]
Abstract
The common vampire bat (Desmodus rotundus) maintains a diverse, sanguivorous diet, utilizing a broad range of prey taxa. As anthropogenic change alters the distribution of this species, shifts in predator-prey interactions are expected. Understanding prey richness and patterns of prey selection is, thus, increasingly informative from ecological, epidemiological, and economic perspectives. We reviewed D. rotundus diet and assessed the geographical, taxonomical, and behavioral features to find 63 vertebrate species within 21 orders and 45 families constitute prey, including suitable host species in regions of invasion outside D. rotundus' range. Rodentia contained the largest number of species utilized by D. rotundus, though cattle were the most commonly reported prey source, likely linked to the high availability of livestock and visibility of bite wounds compared to wildlife. Additionally, there was tendency to predate upon species with diurnal activity and social behavior, potentially facilitating convenient and nocturnal predation. Our review highlights the dietary heterogeneity of D. rotundus across its distribution. We define D. rotundus as a generalist predator, or parasite, depending on the ecological definition of its symbiont roles in an ecosystem (i.e., lethal vs. non-lethal blood consumption). In view of the eminent role of D. rotundus in rabies virus transmission and its range expansion, an understanding of its ecology would benefit public health, wildlife management, and agriculture. Supplementary Information The online version contains supplementary material available at 10.1007/s42991-023-00358-3.
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Affiliation(s)
- Natalie Brown
- Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA USA
| | - Luis E. Escobar
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA USA
- Global Change Center, Virginia Tech, Blacksburg, VA USA
- Center for Emerging Zoonotic and Arthropod-Borne Pathogens, Virginia Tech, Blacksburg, VA USA
- Doctorado en Agrociencias, Facultad de Ciencias Agropecuarias, Universidad de La Salle, Carrera 7 No. 179-03, Bogotá, Colombia
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Pimentel MFA, Nassarden SM, Cândido SL, Dutra V, Nakazato L. Genotyping of rabies positive samples isolated from animals in Mato Grosso and Rondônia - Brazil. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2022; 103:105336. [PMID: 35817398 DOI: 10.1016/j.meegid.2022.105336] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 07/03/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
Lyssavirus is a genus that causes infectious disease transmit by bats transmit, which results in economic losses in livestock and public health problems. From 2005 to 2019, more than 49 thousand cases of the disease were registered in animals in Brazil, with 3418 registered in Mato Grosso (MT). The lack of information on the genetic diversity and distribution of the rabies virus in MT was the motivation for carrying out this study. A total of 117 samples of brain tissue from cattle, horses, donkeys, mules and sheep from 29 municipalities in the state of MT and one municipality in Rondônia were used. Direct immunofluorescence and/or biological tests performed from 2014 to 2021 indicated that all samples were positive for the disease. RNA was extracted and molecular analysis was performed using RT-PCR for the N gene. Of the 117 samples analyzed, 50 were amplified by RT-PCR, purified and sequenced. The samples showed 93.13%-100% identity with the rabies virus. The sequences were submitted to phylogenetic analysis that resulted in a tree of four clades; these were genetically grouped into distinct regions within the Desmodus rotundus lineage. The results of the geolocation of clades will be useful to guide monitoring, control and health surveillance programs in MT.
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Affiliation(s)
- Maria Fernanda Aranega Pimentel
- Postgraduate Program in Veterinary Sciences, Federal University of Mato Grosso (UFMT), Av. Fernando Corrêa da Costa, n° 2367, Boa Esperança, Cuiabá, MT 78060-900, Brazil; Institute of Agricultural Defense of the State of Mato Grosso, Rua Eng. Edgar Prado Arze, s/n° Quadra 1, Setor A - Centro Político Administrativo, Cuiabá, MT 78049-910, Brazil.
| | - Selma Maria Nassarden
- Institute of Agricultural Defense of the State of Mato Grosso, Rua Eng. Edgar Prado Arze, s/n° Quadra 1, Setor A - Centro Político Administrativo, Cuiabá, MT 78049-910, Brazil.
| | - Stéfhano Luís Cândido
- Postgraduate Program in Veterinary Sciences, Federal University of Mato Grosso (UFMT), Av. Fernando Corrêa da Costa, n° 2367, Boa Esperança, Cuiabá, MT 78060-900, Brazil
| | - Valéria Dutra
- Postgraduate Program in Veterinary Sciences, Federal University of Mato Grosso (UFMT), Av. Fernando Corrêa da Costa, n° 2367, Boa Esperança, Cuiabá, MT 78060-900, Brazil; Laboratory of Veterinary Microbiology and Molecular Biology, UFMT, Av. Fernando Corrêa da Costa, n° 2367, Boa Esperança, Cuiabá, MT 78060-900, Brazil
| | - Luciano Nakazato
- Laboratory of Veterinary Microbiology and Molecular Biology, UFMT, Av. Fernando Corrêa da Costa, n° 2367, Boa Esperança, Cuiabá, MT 78060-900, Brazil.
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