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Anthrax, caused by Bacillus anthracis, has a nearly global distribution but is understudied in Southeast Asia, including Vietnam. Here, we used historical data from 1999 to 2020 in Ha Giang, a province in northern Vietnam. The objectives were to describe the spatiotemporal patterns and epidemiology of human and livestock anthrax in the province and compare livestock vaccine coverage with human and livestock anthrax incidence. Annual incidence rates (per 10,000) for humans, buffalo/cattle, and goats were used to explore anthrax patterns and for comparison with livestock annual vaccine variations. A data subset describes anthrax epidemiology in humans by gender, age, source of infection, type of anthrax, admission site, and season. Zonal statistics and SaTScan were used to identify spatial and space-time clusters of human anthrax. SaTScan revealed space-time clusters in 1999, 2004, and 2007-2008 in the province, including in the northeastern, eastern, and western areas. Most human anthrax was reported between July and October. Most patients were male, aged 15-59 years, who had handled sick animals and/or consumed contaminated meat. High case-fatality rates were reported with gastrointestinal or respiratory cases. Our data suggest that vaccination in buffalo and cattle reduces the disease burden in humans and vaccinated animals but does not reduce the incidence in unvaccinated animals (goats). This study identified spatial areas of high risk for anthrax and can inform One Health surveillance and livestock vaccination planning in contextual settings similar to Ha Giang province.
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http://dx.doi.org/10.4269/ajtmh.22-0384 | DOI Listing |
Biodivers Data J
August 2025
Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China Kunming Institute of Zoology, Chinese Academy of Sciences Kunming China.
Background: The enigmatic odd-scaled snake Miller, Davis, Luong, Do, Pham, Ziegler, Lee, De Queiroz, Reynolds & Nguyen, 2020, was described, based on only one male specimen from Ha Giang Province, northern Vietnam. To date, no other specimen was reported, except for the holotype and this species was considered to be endemic to Vietnam.
New Information: Based on one specimen collected from Malipo County, Wenshan Prefecture, Yunnan Province, China, we provide the first record of from China.
Ecol Evol
July 2025
K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology Cornell University Ithaca New York USA.
Automated detection of acoustic signals is crucial for effective monitoring of sound-producing animals and their habitats across ecologically relevant spatial and temporal scales. Recent advances in deep learning have made these approaches more accessible. However, few deep learning approaches can be implemented natively in the R programming environment; approaches that run natively in R may be more accessible for ecologists.
View Article and Find Full Text PDFBiodivers Data J
June 2025
Institute of Biology, Vietnam Academy of Science and Technology, Hanoi, Vietnam Institute of Biology, Vietnam Academy of Science and Technology Hanoi Vietnam.
Background: The Tay Yen Tu Nature Reserve is situated on the western side of the Yen Tu Mountain Range in Bac Giang Province, northern Vietnam. Since its establishment in 2002, several studies on the herpetofauna of this protected area have been carried out. For example, Nguyen et al.
View Article and Find Full Text PDFZookeys
June 2025
Institute of Biology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Road, 10072 Hanoi, Vietnam.
This study provides a taxonomic revision of the complex in Vietnam. Based on integrative taxonomic analyses, sensu stricto is distributed in Lao Cai, Vinh Phuc, Ha Giang, and Tuyen Quang provinces. Other records of in northern and central Vietnam revealed to be representatives of two new species: from Son La, Thanh Hoa, and Nghe An provinces and from Quang Binh and Thua Thien Hue provinces.
View Article and Find Full Text PDFPhilos Trans R Soc Lond B Biol Sci
June 2025
K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA.
Understanding the circadian rhythm of the calling behaviour of wild animals can guide efforts to monitor and conserve rare and endangered species using sound. Here, we use passive acoustic monitoring to investigate the vocal behaviour of the crested argus () in Kon Chu Rang Nature Reserve, Gia Lai Province, Vietnam. We had three main objectives: (i) to investigate the performance of BirdNET transfer learning for automated detection of crested argus calls; (ii) to investigate the environmental predictors of crested argus calling; and (iii) to qualitatively investigate seasonal patterns of calling.
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