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Phenomenological model describes and regularizes COVID-19 data

The COVID-19 epidemic, which began late December 2019 in Wuhan, China, and rapidly spread throughout the world, was accompanied by unprecedented releases of reported case data. Now, researchers propose combining phenomenological descriptions with epidemiological dynamics for an entirely new perspective on these data.

United kingdomUnited statesCity ofRamya dwivediJohns hopkins universityUniversity bordeauxUniversity grenoble alpesWorld health organizationDiamond princessCoronavirus disease covid 19Ars cov 2ஒன்றுபட்டது கிஂக்டம்ஒன்றுபட்டது மாநிலங்களில்நகரம் ஆஃப்ரம்யா டுவிவேடிஜான்ஸ் ஹாப்கின்ஸ் பல்கலைக்கழகம்

Researchers study COVID-19 immune dysfunction in relation to phosphatidylserine

Researchers study COVID-19 immune dysfunction in relation to phosphatidylserine
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Ramya dwivediImage creditரம்யா டுவிவேடிபடம் கடன்

Could wastewater epidemiology help track the circulation of SARS-CoV-2 variants?

Could wastewater epidemiology help track the circulation of SARS-CoV-2 variants?
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Ramya dwivediImage creditPeople image studioSentinel systemரம்யா டுவிவேடிபடம் கடன்மக்கள் படம் ஸ்டுடியோசெண்டினல் அமைப்பு

Prior vaccination against diphtheria and tetanus associated with less severe COVID-19

Prior vaccination against diphtheria and tetanus associated with less severe COVID-19
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United kingdomKaplan meierRamya dwivediJennifer monereoJennifer monereo sUnited kingdom biobankBacillus calmette guஒன்றுபட்டது கிஂக்டம்கபிலன் மையர்ரம்யா டுவிவேடி

Carbon-based antimicrobial nanoweapons to fight COVID-19

Carbon-based antimicrobial nanoweapons to fight COVID-19
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Ramya dwivediCarbon based nanomaterialsPromising antiviral agentsImage creditரம்யா டுவிவேடிகார்பன் அடிப்படையிலானது நானோ பொருட்கள்படம் கடன்