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Excess Deaths were down to +4% at the end of 2024, but are back up to +6% on an annual basis, after the XEC wave in Jan 2025 peaked at 37% in the worst week.
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Excess Deaths were down to +4% at the end of 2024, but are back up to +6% on an annual basis, after the XEC wave in Jan 2025 peaked at 37% in the worst week.
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Excess Deaths were down to +2% at the end of 2024, but are back up to +4.5% on an annual basis.
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Excess Deaths were down to +2% at the end of 2024, but are back up to +4.5% on an annual basis.
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My method projects "Expected Deaths" using a linear regression on the weekly deaths (4-week average) from a baseline of 2015-2019 deaths.
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My method projects "Expected Deaths" using a linear regression on the weekly deaths (4-week average) from a baseline of 2015-2019 deaths.
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At that pace, any crossover looks to be around the holiday season.
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At that pace, any crossover looks to be around the holiday season.
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Locations are approximate - typically country and state/province.
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Locations are approximate - typically country and state/province.
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The frequency in Germany and Ireland ended at 7%.
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The frequency in Germany and Ireland ended at 7%.
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Scotland reported continued growth, to 40%.
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Scotland reported continued growth, to 40%.
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As PQ.2.1 was defined back in May, this surge is probably the result of further evolution.
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As PQ.2.1 was defined back in May, this surge is probably the result of further evolution.
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Oregon has reported the highest frequency at 19%, while California reached 11% and Minnesota hit 10%.
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Oregon has reported the highest frequency at 19%, while California reached 11% and Minnesota hit 10%.
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XFG.1.1 finished at 4%.
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XFG.1.1 finished at 4%.
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A chain of local samples has also been reported from New South Wales, finishing at 9%.
The first 2 samples have been reported from Queensland.
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A chain of local samples has also been reported from New South Wales, finishing at 9%.
The first 2 samples have been reported from Queensland.
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BA.3.* (all BA.3.2.2) rose to 13% and seems the most likely challenger to replace NB.1.8.1.* "Nimbus".
#COVID19 #SARSCoV2 #Australia #BA_3_2
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BA.3.* (all BA.3.2.2) rose to 13% and seems the most likely challenger to replace NB.1.8.1.* "Nimbus".
#COVID19 #SARSCoV2 #Australia #BA_3_2
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