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Pandemic fatigue and vaccine hesitancy continue to affect global public health-- 23-country study

Pandemic fatigue and vaccine hesitancy continue to affect global public health, new 23-country study finds (medicalxpress.com)

While it found that global uptake of at least one COVID-19 vaccine dose was robust, a new survey published in Nature Medicine revealed mixed signals about the current acceptance of vaccines generally, especially COVID-19 boosters. ...

"The repercussions of pandemic disruptions in , the effects of the inequitable and slow global distribution, and the prevalence of misinformation and mistrust in continue to be felt," says Jeffrey V. Lazarus, Professor of Global Health at CUNY SPH, head of the Health Systems Research Group at Barcelona Institute for Global Health, and coordinator of the study.

 

 

 

 

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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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Vaccinations of teenagers cut COVID-19 cases by 37% in California--study

JAMA Network Open has published a new study showing that, from April 1, 2020, to February 27, 2023, in California, an estimated 146,210 COVID-19 cases were averted by vaccination in teens aged 12 to 15 years, representing a 37% reduction.

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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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