The majority of dairy heifer calves in the United States are destined to be dairy replacements. However, many dairy heifer and bull calves die before 6 mo of age. Of these calves, about 6% (more than 500,000 calves) die at birth or shortly after (i.e., currently termed "stillbirth"). An additional 6% of dairy heifers die during the preweaning period. Death loss in dairy calves is primarily due to stillbirths, failure to adapt to extrauterine life, and infectious disease processes. The reasons for preweaning heifer calf deaths caused by infectious diseases are generally categorized based on easily recognizable clinical signs such as digestive disease/scours or respiratory disease. Most causes of calf death can be mitigated by appropriate preventive care or well-tailored treatments, meaning that the typical death loss percentage could be decreased with better management. Producers could gather information on the circumstances near birth and at death if they had appropriate guidance on what details to record and monitor. This paper provides recommendations on data to collect at the time of birth (i.e., calf birth certificate data). The recording of these critical pieces of information is valuable in evaluating trends over time in morbidity and mortality events in dairy calves. Ideally, necropsy examination would substantially improve the identification of cause of death, but even without necropsy, attribution of cause of death can be improved by more carefully defining death loss categories in on-farm record systems. We propose a death loss categorization scheme that more clearly delineates causes of death. Recommendations are provided for additional data to be collected at the time of death. Recording and analyzing birth certificate and death loss data will allow producers and veterinarians to better evaluate associations between calf risk factors and death, with the goal of reducing dairy calf mortality.
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http://dx.doi.org/10.3168/jds.2018-15728 | DOI Listing |
Am J Hosp Palliat Care
January 2025
Division of Cancer Education, National Cancer Centre Singapore, Singapore.
Background: Palliative Care, Geriatrics and Emergency physicians are exposed to death, terminally ill patients and distress of patients and their families. As physicians bear witness to patients' suffering, they are vulnerable to the costs of caring-the emotional distress associated with providing compassionate and empathetic care to patients. If left unattended, this may culminate in burnout and compromise professional identity.
View Article and Find Full Text PDFFront Microbiol
January 2025
Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Bovine viral diarrhea virus (BVDV) is the causative agent of bovine viral diarrhea, which causes significant economic loss to the global livestock industry. Despite the widespread use of inactivated BVDV vaccines, highly pathogenic strains continue to emerge. In China, regional variations in BVDV subtypes, morbidities, and symptoms, however, only the BVDV 1a subtype vaccine is currently approved.
View Article and Find Full Text PDFIJID Reg
March 2025
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Objectives: Advanced HIV disease (AHD) at HIV care enrollment is common in Latin America and may bias cross-sectional care continuum estimates. We therefore explored the impact of AHD on HIV care continuum outcomes using a longitudinal approach.
Methods: We analyzed trajectories of 26,174 adult people with HIV enrolled at Caribbean, Central and South America network for HIV epidemiology (CCASAnet) sites (2003-2019) using multi-state Cox regression across five stages: (i) enrolled without antiretroviral therapy (no-ART); (ii) on ART without viral suppression (viral load ≥200 copies/m; ART + non-VS); (iii) on ART with viral suppression (viral load <200 copies/ml; ART + VS); (iv) lost to follow-up; (v) death.
Acta Naturae
January 2024
Novosibirsk State University, Novosibirsk, 630090 Russian Federation.
The gradually increasing age of the world population implies that the prevalence of neurodegenerative diseases also continues to rise. These diseases are characterized by a progressive loss of cognitive and motor functions. Parkinson's disease, which involves the gradual death of specialized neural tissue, is a striking example of a neurodegenerative process.
View Article and Find Full Text PDFAccurate forecasting of contagious illnesses has become increasingly important to public health policymaking, and better prediction could prevent the loss of millions of lives. To better prepare for future pandemics, it is essential to improve forecasting methods and capabilities. In this work, we propose a new infectious disease forecasting model based on physics-informed neural networks (PINNs), an emerging area of scientific machine learning.
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