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Despite consistent efforts to protect public health there is still a heavy burden of viral disease, both in the United States and abroad. In addition to conventional medical treatment, there is a need for a holistic approach for early detection and prevention of viral outbreaks at a population level. One-Health is a relatively new integrative approach to the solving of global health challenges. A key component to the One-Health approach is the notion that human health, animal health, and environmental health are all innately interrelated. One-Health interventions, initiated by veterinary doctors, have proven to be effective in controlling outbreaks, but thus far the applications focus on zoonotic viruses transmitted from animals to humans. Environmental engineers and environmental scientists hold a critical role in the further development of One-Health approaches that include water-related transport and transmission of human, animal, and zoonotic viruses. In addition to waterborne viruses, the proposed approach is applicable to a wide range of viruses that are found in human excrement since contaminated water-based surveillance systems may be used for early detection of viral disease. This paper proposes a greater One-Health based framework that involves water-related pathways. The first step in the proposed framework is the identification of critical exposure pathways of viruses in the water environment. Identification of critical pathways informs the second and third steps, which include water-based surveillance systems for early detection at a population level and implementation of intervention approaches to block the critical pathways of exposure.
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http://dx.doi.org/10.1016/j.onehlt.2019.100094 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Background: Various media are used to enhance public understanding about diseases. While mobile health apps are widely used, there is little proof for using such apps to raise awareness of skin diseases.
Objective: We intend to develop an app, called DEDIKASI-app, to raise awareness of skin diseases, including leprosy.
FEMS Microbiol Rev
September 2025
CIISA - Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal.
African Swine Fever (ASF), caused by the highly contagious African swine fever virus (ASFV), poses a significant threat to domestic and wild pigs worldwide. Despite its limited host range and lack of zoonotic potential, ASF has severe socio-economic and environmental consequences. Current control strategies primarily rely on early detection and culling of infected animals, but these measures are insufficient given the rapid spread of the disease.
View Article and Find Full Text PDFTrop Doct
September 2025
Additional Professor, Department of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chikungunya virus (CHIKV) typically causes febrile illness and arthralgia. However, severe complications such as encephalitis, rhabdomyolysis, and multiorgan dysfunction are increasingly recognised, particularly during epidemics in endemic regions. We report a case of a 61-year old male presenting with progressive flaccid paraparesis and respiratory failure following febrile illness.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Department of Urology, Center for Health Outcomes Research and Dissemination, University of Washington, Seattle.
Importance: Black individuals have a twofold higher rate of prostate cancer death in the US compared with the average population with prostate cancer. Few guidelines support race-conscious screening practices among at-risk Black individuals.
Objective: To examine structural factors that facilitate or impede access to prostate cancer screening among Black individuals in the US.
Cell Mol Biol (Noisy-le-grand)
September 2025
M-DT1, Roquefort-les Pins, France.
To date, the closed-loop system represents the best commercialized management of type 1 diabetes. However, mealtimes still require carbohydrate estimation and are often associated with postprandial hyperglycemia which may contribute to poor metabolic control and long -term complications. A multicentre, prospective, non-interventional clinical trial was designed to determine the effectiveness of a novel algorithm to predict changes in blood glucose levels two hours after a usual meal.
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