Advancing One human–animal–environment Health for global health security: what does the evidence say?

J Zinsstag, A Kaiser-Grolimund, K Heitz-Tokpa… - The Lancet, 2023 - thelancet.com
In this Series paper, we review the contributions of One Health approaches (ie, at the human–
animal–environment interface) to improve global health security across a range of health …

The infectious disease trap of animal agriculture

MN Hayek - Science Advances, 2022 - science.org
Infectious diseases originating from animals (zoonotic diseases) have emerged following
deforestation from agriculture. Agriculture can reduce its land use through intensification, ie …

An inconvenient misconception: Climate change is not the principal driver of biodiversity loss

T Caro, Z Rowe, J Berger, P Wholey… - Conservation …, 2022 - Wiley Online Library
The current perception that climate change is the principal threat to biodiversity is at best
premature. Although highly relevant, it detracts focus and effort from the primary threats …

After 2 years of the COVID-19 pandemic, translating One Health into action is urgent

T Lefrançois, D Malvy, L Atlani-Duault, D Benamouzig… - The Lancet, 2023 - thelancet.com
The world is co** with the health, societal, and economic consequences of more than 2
years of the COVID-19 pandemic. Emerging diseases caused by new pathogens, or re …

Want to prevent pandemics? Stop spillovers

NM Vora, L Hannah, S Lieberman, MM Vale… - Nature, 2022 - nature.com
Want to prevent pandemics? Stop spillovers Skip to main content Thank you for visiting
nature.com. You are using a browser version with limited support for CSS. To obtain the best …

[HTML][HTML] Develo** one health surveillance systems

OHHLE Panel, DTS Hayman, WB Adisasmito… - One Health, 2023 - Elsevier
The health of humans, domestic and wild animals, plants, and the environment are inter-
dependent. Global anthropogenic change is a key driver of disease emergence and spread …

[HTML][HTML] A One Health framework for exploring zoonotic interactions demonstrated through a case study

A Desvars-Larrive, AE Vogl, GA Puspitarani… - Nature …, 2024 - nature.com
The eco-epidemiology of zoonoses is often oversimplified to host-pathogen interactions
while findings derived from global datasets are rarely directly transferable to smaller-scale …

[HTML][HTML] Interventions to reduce risk for pathogen spillover and early disease spread to prevent outbreaks, epidemics, and pandemics

NM Vora, L Hannah, C Walzer, MM Vale… - Emerging infectious …, 2023 - ncbi.nlm.nih.gov
The pathogens that cause most emerging infectious diseases in humans originate in
animals, particularly wildlife, and then spill over into humans. The accelerating frequency …

Artificial intelligence in public health: the potential of epidemic early warning systems

CR MacIntyre, X Chen… - Journal of …, 2023 - journals.sagepub.com
The use of artificial intelligence (AI) to generate automated early warnings in epidemic
surveillance by harnessing vast open-source data with minimal human intervention has the …

Improved ResNet-50 deep learning algorithm for identifying chicken gender

D Wu, Y Ying, M Zhou, J Pan, D Cui - Computers and Electronics in …, 2023 - Elsevier
Accurate identification of chicken gender helps farms to optimize breeding sex ratios and
programs. A chicken gender identification method based on an improved ResNet-50 deep …