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East Asia and the Pacific Surveillance Metrics and History of the COVID-19 Pandemic: Updated Epidemiological Assessment.
JMIR Public Health Surveill
January 2025
Buehler Center for Health Policy and Economics, Robert J. Havey, MD Institute for Global Health, Northwestern University, 420 E. Superior, Chicago, US.
Background: This study updates the COVID-19 pandemic surveillance in East Asia and the Pacific we first conducted in 2020 with two additional years of data for the region.
Objective: First, we measure whether there was an expansion or contraction of the pandemic in East Asia and the Pacific region when the World Health Organization (WHO) declared the end of the COVID-19 public health emergency of international concern on May 5, 2023. Second, we use dynamic and genomic surveillance methods to describe the dynamic history of the pandemic in the region and situate the window of the WHO declaration within the broader history.
Temporal and spatial pattern analysis of escaped prescribed fires in California from 1991 to 2020.
Fire Ecol
January 2025
Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA USA.
Background: Prescribed fires play a critical role in reducing the intensity and severity of future wildfires by systematically and widely consuming accumulated vegetation fuel. While the current probability of prescribed fire escape in the United States stands very low, their consequential impact, particularly the large wildfires they cause, raises substantial concerns. The most direct way of understanding this trade-off between wildfire risk reduction and prescribed fire escapes is to explore patterns in the historical prescribed fire records.
View Article and Find Full Text PDFBackground: Public health is seriously threatened by transmission of zoonotic infection through the food chain. Factors like increasing population, deforestation, high demand for animal protein, and trade of sub-clinically infected animals are the main causes of the spread of infections from asymptomatic animals to humans. Despite several national programs like (The Clean India Mission) prevention of open defecation and water, sanitation, and hygiene (WASH), the incidence of diarrhoeal diseases remains high in India.
View Article and Find Full Text PDFClimate Change and Veterinary Medicine: A Call to Action for a Healthier Planet.
F1000Res
January 2025
College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Climate change is rapidly transforming ecosystems and reshaping the landscapes of animal health, with profound consequences for public health, food security, and biodiversity. Rising temperatures, shifting weather patterns, and increased frequency of natural disasters are driving the emergence and spread of infectious diseases, particularly zoonotic and vector-borne diseases. These environmental shifts endanger the health and welfare of animals and the delicate balance between human populations, livestock, and wildlife.
View Article and Find Full Text PDFECB-WQ: A Long-Term Agroecosystem Research (LTAR)-Eastern Corn Belt node field-scale water quality dataset.
J Environ Qual
January 2025
USDA-ARS, Soil Drainage Research Unit, Columbus, Ohio, USA.
The Eastern Corn Belt (ECB) node of the Long-Term Agroecosystem Research (LTAR) network is representative of row crop agricultural production systems in the poorly drained, humid regions of the US Midwest and a significant focus for addressing water quantity and quality concerns affecting Lake Erie and the Gulf of Mexico. The objectives of this paper were to (1) present relevant background information and collection methodology, (2) provide summary analyses of measured data, and (3) provide details for accessing the dataset and discuss potential database applications. The ECB-water quality (ECB-WQ) database is comprised of hydrology and water quality data from three privately owned farms in Northwest Ohio and Northeast Indiana and is available for download through the United States Department of Agriculture Ag Data Commons.
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