The plans to boost the UK's preparedness for a bird flu pandemic come after an 11-year-old girl died from the virus in Cambodia. The WHO warns that even if the world is more prepared than for COVID, 'we are not yet prepared enough'.
It comes after an
The UKHSA is modelling what happens if that changes, looking at two scenarios: a mild scenario where the infection-fatality rate is similar to COVID, at about 0.25%, and a more severe scenario similar to the 1918 flu pandemic, where about 2.5% of people who caught the virus died. In light of the modelling, the UKHSA is looking at how it could detect outbreaks in humans, including using COVID-style lateral flow tests.
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UK public health officials consider introducing lateral flow tests to detect bird flu in peoplePublic health officials are considering introducing lateral flow tests to detect avian flu in people in the UK after an unprecedented spread of the virus in birds worldwide in the past 18 months
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Factors associated with resistance to SARS-CoV-2 infection discovered using large-scale medical record data and machine learningThere have been over 621 million cases of COVID-19 worldwide with over 6.5 million deaths. Despite the high secondary attack rate of COVID-19 in shared households, some exposed individuals do not contract the virus. In addition, little is known about whether the occurrence of COVID-19 resistance differs among people by health characteristics as stored in the electronic health records (EHR). In this retrospective analysis, we develop a statistical model to predict COVID-19 resistance in 8,536 individuals with prior COVID-19 exposure using demographics, diagnostic codes, outpatient medication orders, and count of Elixhauser comorbidities in EHR data from the COVID-19 Precision Medicine Platform Registry. Cluster analyses identified 5 patterns of diagnostic codes that distinguished resistant from non-resistant patients in our study population. In addition, our models showed modest performance in predicting COVID-19 resistance (best performing model AUROC=0.61). Monte Carlo simulations conducted indicated that the AUROC results are statistically significant (p | 0.001) for the testing set. We hope to validate the features found to be associated with resistance/non-resistance through more advanced association studies.
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Neighbours love living near the city and countryside at new siteA brand new Aldi and a Bird’ Bakery have opened on the site
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