A list of possible factors for why COVID-19 has affected different regions differently, in decreasing order of my guestimated importance.
Beware the political agenda of anybody selling a monocausal theory.
- geographic/travel connectivity, incl. travel bans
- vaccination curve
- efficacy of vaccine(s) used
- population age structure
- lockdown policies
- population density
- hemisphere (summer vs. winter)
- co-morbidities: obesity, heart disease, hypertension, smoking, asthma, diabetes/kidney, sickle cell, cancer
- mask polices
- vaccine demographic targeting
- elderly clustering e.g. nursing homes vs. multi-generational domiciles
- super-spreader opportunities
- under-/over-reporting of COVID-19 deaths
- domicile ventilation
- air conditioning
- temperature
- humidity
- ultraviolet incidence
- prior culture of mask use
- advanced contact tracing
- cultural acceptance of lockdowns
- compliance culture (e.g. Italians racing to trains against lockdown deadlines)
- use of mass transit
- prior experience with SARS/MERS
- greeting culture: kiss, handshake, bow
- nursing home return policy
- South Asian Neanderthal haplotype (Zeberg, Paabo 2020) makes hospitalization 2X likely
- chromosome 12 Neanderthal haplotype (vs RNA viruses, 2021) makes hospitalization 22% less likely
- blood type?
- vitamin D use?
- anti-parasite Ivermectin use?
- anti-malaria hydroxychloroquine use?
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