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U.S. data dashboard helps gauge effectiveness of state and local policies to mitigate COVID-19 impact.

Study gauges effectiveness of COVID-19 burden mitigation policies

In a new study published in JAMA Network Open, researchers have created a dataset and data visualization dashboard to evaluate the effectiveness of state and territory-level policies enacted to reduce the severity of COVID-19's impact on older people served by home health care agencies and nursing homes.

The authors found many policies within states and territories did not correspond with reductions in community or nursing home-level COVID-19 burden (i.e. number of cases and mortality counts). This suggests that policy effectiveness may depend on implementation and compliance. The study also found that policies focused less on home health care agencies compared with nursing homes, despite both settings serving vulnerable older populations.

 

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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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Opinion: the spread of bird flu in U.S. cattle should be a wake-up call to action

The recent detection of H5N1 bird flu in U.S. cattle, coupled with reports of a dairy worker contracting the virus, demands a departure from the usual reassurances offered by federal health officials. While they emphasize there’s no cause for alarm and assert diligent monitoring, it’s imperative we break from this familiar script.

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