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Using Data to Predict the Delta variant

Using Data to Predict the Delta variant
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Philippine , Benguet , Philippines , Alex-timbol , Philippine-department-of-health , Philippine-local-governments , Philippine-department , Delta-variant , பிலிப்பைன் , பிலிப்பைன்ஸ் , பிலிப்பைன்-துறை-ஆஃப்-ஆரோக்கியம்

Using technology to predict the Delta variant

Published August 4, 2021, 7:49 AM
Several sources have published that the COVID-19 variant B1617 also known as the Delta variant appears to affect children more. Thanks to Alex Timbol for the link: https://spiral.imperial.ac.uk/handle/10044/1/89629. We can use this finding to help Philippine Local Governments to track the Delta variant in their midst. This compliments the genomic testing that provides definite proof but may be limited and slow. Using Philippine Department of Health (DOH) data, let us show which regions have comparatively more Covid cases involving younger adults. This chart shows the rate of growth of cases for Regions where younger patients (0 -19 years old) cases spiked:

Philippine , Benguet , Philippines , Davao , Davao-city , Mariveles , Bataan , Angeles-city , Angeles , Iloilo , Iloilo-city , Ilocos-norte