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1.
Sci Rep ; 14(1): 20477, 2024 09 03.
Artigo em Inglês | MEDLINE | ID: mdl-39227680

RESUMO

Rabies is a neglected disease primarily related to dog-mediated transmission to humans. Accurate dog demographic and dynamic data are essential for effectively planning and evaluating population management strategies when designing interventions to prevent rabies. However, in Thailand, longitudinal survey data regarding dog population size are scarce. A school-based participatory research (SBPR) approach was conducted to survey owned dogs for one year in four high-risk provinces (Chiang Rai, Surin, Chonburi, and Songkhla) of Thailand, aiming to understand dog population dynamics and raise awareness about rabies. 'Pupify' mobile application was developed to collect data on dog population and observe the long-term population dynamics in this study. At the end of the data collection period, telephone interviews were conducted to gain insight into contextual perceptions and awareness regarding both animal and human rabies, as well as the social responsibility of dog owners in disease prevention and control. Among 303 high school students who registered in our study, 218 students reported at least one update of their dog information throughout the one-year period. Of 322 owned dogs from our survey, the updates of dog status over one year showed approximately 7.5 newborns per 100-dog-year, while deaths and missing dogs were 6.2 and 2.7 per 100-dog-year, respectively. The male to female ratio was approximately 1.8:1. Twenty-three students (10%) voluntarily participated and were interviewed in the qualitative study. The levels of rabies awareness and precautions among high-school students were relatively low. The high dropout rate of the survey was due to discontinuity in communication between the researcher and the students over the year. In conclusion, this study focused on using the SBPR approach via mobile application to collect data informing dog population dynamics and raising awareness regarding rabies in Thailand Other engaging platforms (e.g. Facebook, Instagram, Twitter, and other popular applications) is necessary to enhance communication and engagement, thereby sustaining and maintaining data collection. Further health education on rabies vaccination and animal-care practices via social media platforms would be highly beneficial. For sustainable disease control, engaging communities to raise awareness of rabies and increase dog owners' understanding of their responsibilities should be encouraged.


Assuntos
Doenças do Cão , Conhecimentos, Atitudes e Prática em Saúde , Dinâmica Populacional , Raiva , Cães , Raiva/prevenção & controle , Raiva/epidemiologia , Raiva/veterinária , Animais , Tailândia/epidemiologia , Humanos , Masculino , Feminino , Doenças do Cão/prevenção & controle , Doenças do Cão/epidemiologia , Doenças do Cão/virologia , Instituições Acadêmicas , Adolescente , Pesquisa Participativa Baseada na Comunidade , Estudantes/psicologia , Inquéritos e Questionários
2.
PLoS Negl Trop Dis ; 16(5): e0010397, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-35536861

RESUMO

Rabies is a fatal disease that has been a serious health concern, especially in developing countries. Although rabies is preventable by vaccination, the spread still occurs sporadically in many countries, including Thailand. Geographical structures, habitats, and behaviors of host populations are essential factors that may result in an enormous impact on the mechanism of propagation and persistence of the disease. To investigate the role of geographical structures on the transmission dynamics of canine rabies, we developed a stochastic individual-based model that integrates the exact configuration of buildings and roads. In our model, the spatial distribution of dogs was estimated based on the distribution of buildings, with roads considered to facilitate dog movement. Two contrasting areas with high- and low-risk of rabies transmission in Thailand, namely, Hatyai and Tepha districts, were chosen as study sites. Our modeling results indicated that the distinct geographical structures of buildings and roads in Hatyai and Tepha could contribute to the difference in the rabies transmission dynamics in these two areas. The high density of buildings and roads in Hatyai could facilitate more rabies transmission. We also investigated the impacts of rabies intervention, including reducing the dog population, restricting owned dog movement, and dog vaccination on the spread of canine rabies in these two areas. We found that reducing the dog population alone might not be sufficient for preventing rabies transmission in the high-risk area. Owned dog confinement could reduce more the likelihood of rabies transmission. Finally, a higher vaccination coverage may be required for controlling rabies transmission in the high-risk area compared to the low-risk area.


Assuntos
Doenças do Cão , Vacina Antirrábica , Raiva , Animais , Doenças do Cão/epidemiologia , Doenças do Cão/prevenção & controle , Cães , Geografia , Humanos , Raiva/epidemiologia , Raiva/prevenção & controle , Raiva/veterinária , Vacinação/veterinária , Cobertura Vacinal
3.
PLoS Negl Trop Dis ; 15(12): e0009980, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34851953

RESUMO

The situation of human rabies in Thailand has gradually declined over the past four decades. However, the number of animal rabies cases has slightly increased in the last ten years. This study thus aimed to describe the characteristics of animal rabies between 2017 and 2018 in Thailand in which the prevalence was fairly high and to quantify the association between monthly rabies occurrences and explainable variables using the generalized additive models (GAMs) to predict the spatial risk areas for rabies spread. Our results indicate that the majority of animals affected by rabies in Thailand are dogs. Most of the affected dogs were owned, free or semi-free roaming, and unvaccinated. Clusters of rabies were highly distributed in the northeast, followed by the central and the south of the country. Temporally, the number of cases gradually increased after June and reached a peak in January. Based on our spatial models, human and cattle population density as well as the spatio-temporal history of rabies occurrences, and the distances from the cases to the secondary roads and country borders are identified as the risk factors. Our predictive maps are applicable for strengthening the surveillance system in high-risk areas. Nevertheless, the identified risk factors should be rigorously considered and integrated into the strategic plans for the prevention and control of animal rabies in Thailand.


Assuntos
Doenças do Cão/epidemiologia , Doenças do Cão/prevenção & controle , Modelos Estatísticos , Raiva/epidemiologia , Raiva/veterinária , Análise Espacial , Animais , Doenças do Cão/virologia , Cães , Raiva/prevenção & controle , Vacina Antirrábica/administração & dosagem , Vacina Antirrábica/imunologia , Fatores de Risco , Tailândia/epidemiologia
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