Background And Aims: Hepatitis E virus (HEV) infection formerly and predominantly occurred in rural areas. However, it has recently been spread to urban and peri-urban areas. This study aimed to estimate the seroprevalence of HEV in pigs collected from urban and rural areas in Bali. The potential of the pig farmers' risk level for being exposed to HEV and the virus transmitted to them in association with their pig-rearing practices was also assessed.
Materials And Methods: A total of 183 pigs from 68 herds were sampled in this study, with 91 pigs collected from Denpasar as the representative samples of urban areas and 92 pigs from Karangasem Regency as the representative samples from rural areas. Sera from the sampled pigs were collected and immunoglobulin G antibodies against HEV were detected using a commercial enzyme-linked immunosorbent assay. A questionnaire was prepared for interviewing the farmers. Bivariable and multivariable logistic regression analyses were performed to identify the putative factors associated with seropositivity. Meanwhile, the potential risk-incurring practices of the farmers for HEV being transmitted to them from their pig-rearing practices were assessed by scoring their responses from the interview.
Results: Overall, 23.5% (43/183) (95% confidence interval [CI]: 17.6-30.3) pig sera tested were detected to have the antibodies against HEV. Among 68 pig herds, 36.8% (25) (95% CI: 25.4-49.3) of them had antibodies in at least one pig sampled from each herd. Pigs sampled from Karangasem were 5 times (Odds ratio [OR] 5.34, 95% CI: 2.27-13.54, p < 0.001) more likely to be seropositive than pigs collected from Denpasar. However, no difference was found in the seropositivity to HEV in pig herds between Denpasar and Karangasem (p = 0.05). In assessing the pig rearing management factors, pig farmers from Denpasar were 3 times (OR 3.0, 95% CI: 1.07-8.52, p = 0.05) more likely to rear pigs for economic investment compared to the farmers from Karangasem. Regarding anticipating pig diseases that can be transmitted to humans, farmers from Denpasar were 6 times (OR 5.72, 95% CI: 1.48-26.7, p = 0.0074) more likely to anticipate zoonotic diseases compared to the farmers from Karangasem. Similarly, pig farmers from Denpasar were 3 times (OR 3.29, 95% CI: 1.08-10.23, p = 0.035) more likely to anticipate pig diseases that could be transmitted to humans than the farmers from Karangasem. Pig farmers from Denpasar had 4 times the odds (OR 4.49, 95% CI: 1.11-18.19, p = 0.03) of washing their hands after going to the pigpens compared to the farmers from Karangasem. All the participants were categorized as being at high risk of HEV exposure and transmission.
Conclusion: IgG antibodies against HEV were detected among pigs reared in rural areas of Karangasem and those reared in urban areas of Denpasar. This suggests that the risk of HEV exposure and transmission in these areas is not negligible. To minimize the risk, public education on zoonotic diseases, including HEV infection, transmission, and prevention, needs to be implemented and particularly targeted to local pig farmers.
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http://dx.doi.org/10.14202/vetworld.2024.1810-1820 | DOI Listing |
Med Vet Entomol
January 2025
Department of Chemistry and Biology, Universidade Estadual do Maranhão, Caxias, Brazil.
Land use and cover changes lead to fragmentation of the natural habitats of sand flies and modify the epidemiological profile of leishmaniasis. This process contributes to the infestation of adjacent rural settlements by vector sand fly species with different degrees of adaptation, promoting leishmaniasis outbreaks. This study aimed to assess land use and cover changes over a 12-year period and investigate the diversity and abundance of sand fly assemblages in the rural area of Codó, Maranhão State, Brazil.
View Article and Find Full Text PDFJ Coll Physicians Surg Pak
January 2025
Al-Shifa School of Public Health, Al-Shifa Trust Eye Hospital, Rawalpindi, Pakistan.
Objective: To assess the factors that affect mothers' quality of life (QOL) and the association of various demographic variables with QOL of the respondents.
Study Design: A cross-sectional survey. Place and Duration of the Study: Al-Shifa Trust Eye Hospital, Rawalpindi, Pakistan, from April to September 2023.
BMC Med Educ
January 2025
Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Background: Healthcare resources have been concentrated in urban areas, leaving rural regions vulnerable to poorer health outcomes. The Problem Solving for Better Health (PSBH) program was implemented to enhance healthcare systems in resource-limited regions by training personnel to maximize existing resources in problem-solving. This study evaluated the implementation effectiveness of PSBH-Nursing (PSBHN), a nationally led initiative to train nurses in PSBH in Lesotho.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
University of California, San Francisco Institute for Health & Aging, #123K, 490 Illinois Street, San Francisco, CA, 94158, USA.
Background: Mobile Health Clinics (MHCs) are an alternate form of healthcare delivery that may ameliorate current rural-urban health disparities in chronic diseases and have downstream impacts on the health system by reducing costs. Evaluations of providers' time allocation on MHCs are scarce, hindering knowledge transfer related to MHC implementation strategies.
Methods: Retrospective economic cost was assessed using business ledgers and expert assessments in 2023 US Dollar (USD) from 2022 to 2023.
BMC Public Health
January 2025
Department of Health Sciences, Carleton University, 2305 Health Sciences Building, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.
Background: The aim of this study is to explore young rural women's perceived barriers in accessing healthcare services with a focus on the interrelation between three marginalization criteria: age (youth), gender (female), and place of residence (rural areas) in Australia, Canada, and Sweden.
Methods: Using a qualitative interpretive approach, we conducted semi-structured in-depth interviews with 31 young women aged 18 to 24 in selected rural communities. Data collection took place from May 2019 to January 2021, and the qualitative data were analyzed using NVivo software.
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