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The mission of the Global Health Working Group is to explore and improve current and emerging states of health and human security worldwide.

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This Working Group is focused on exploring current and emerging states of health and human security worldwide.
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Aboubacar Conte admin Albert Gomez Allan Anthony Carrielaj
Chisina Kapungu ChrisAllen Corey Watts CPetry DeannaPolk Elhadj Drame
Gavin Macgregor... Hadiatou Balde hank_test jranck JSole Kathy Gilbeaux
Lisa Stelly Thomas loguest Maeryn Obley mdmcdonald MDMcDonald_me_com Mika Shimizu
mike kraft njchapman Norea Tiaji Salaam-Blyther tnovotny

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European experts call for global genetic warning system to combat the next pandemic and antimicrobial resistance

Experts call for global genetic warning system to combat the next pandemic and antimicrobial resistance (medicalxpress.com)

 

...genomic surveillance could do much more to reduce the toll of disease and death worldwide than just protect us from COVID-19. Writing in Frontiers in Science, an international collective of clinical and public health microbiologists from the European Society for Clinical Microbiology and Infectious Diseases (ESCMID) calls for investment in technology, capacity, expertise, and collaboration to put genomic surveillance of pathogens at the forefront of future pandemic preparedness.

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Monkeypox: dangerous strain gains ability to spread through sex-- new data suggest

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Evidence from past outbreaks indicates that this strain, called clade I, is more lethal than the separate strain that sparked the 2022 outbreak. Clade I has for decades caused small outbreaks, often limited to a few households or communities, in Central Africa. Sexually acquired clade I infections had not been reported before last year.

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New study uses AI to predict malaria outbreaks in South Asia

New study uses AI to predict malaria outbreaks in South Asia (medicalxpress.com)

Researchers from NDORMS in collaboration with international institutions have demonstrated the potential of using environmental measurements and deep learning modeling to predict malaria outbreaks in South Asia. The study offers promising insights into improving early warning systems for one of the world's deadliest diseases.

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