Risk Factors for COVID-19 and Respiratory Tract Infections during the Coronavirus Pandemic

Mockeliunas et al., Vaccines, doi:10.3390/vaccines12030329, NCT04379336, Mar 2024
Retrospective 1,000 frontline healthcare workers in South Africa showing higher risk of COVID-19 for non-smokers.
risk of case, 133.6% higher, HR 2.34, p < 0.001, treatment 274, control 726, inverted to make HR<1 favor treatment.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Mockeliunas et al., 19 Mar 2024, retrospective, South Africa, peer-reviewed, 6 authors, trial NCT04379336 (history). Contact: ulrika.simonsson@uu.se (corresponding author).
$0 $500 $1,000+ Efficacy vs. cost for COVID-19 treatment protocols c19early.org November 2026 South Africa Peru Philippines USA Brazil France Italy Canada Pakistan Spain Vietnam Japan Nepal Iran Bangladesh Ethiopia Ghana Germany Mexico South Korea United Kingdom Saudi Arabia Algeria Morocco Yemen Poland Uzbekistan India China Venezuela DR Congo Madagascar Thailand Uganda Egypt Nigeria Taiwan Fiji Zambia Bosnia-Herzegovina Dominican Republic Bolivia Côte d'Ivoire Eritrea Togo Bulgaria Greece Slovakia Iceland New Zealand Trinidad and Tobago Mongolia Czechia Belarus Israel Haiti North Macedonia Hong Kong Qatar Panama Serbia South Africa favored low-cost treatments.The average efficacy of treatments was very low.Low-cost treatments improve early treatment, andprovide complementary/synergistic benefits. More effective More expensive 75% 50% 25% ≤0%
$0 $500 $1,000+ Efficacy vs. cost for COVID-19treatment protocols worldwide c19early.org November 2026 South Africa USA Brazil France Italy Canada Pakistan Spain Vietnam Japan Iran Bangladesh Ethiopia Ghana Germany Mexico South Korea United Kingdom Saudi Arabia Algeria Morocco Yemen Poland Uzbekistan India China Venezuela DR Congo Madagascar Thailand Uganda Egypt Taiwan Fiji Zambia Bosnia-Herzegovina Dominican Rep. Bolivia Côte d'Ivoire Eritrea Togo Sri Lanka Bulgaria Greece Slovakia New Zealand Trinidad and Tobago Mongolia Czechia Belarus Israel North Macedonia Hong Kong Qatar Panama Serbia South Africa favored low-cost treatments.The average efficacy was very low.Low-cost protocols improve early treatment,and add complementary/synergistic benefits. More effective More expensive 75% 50% 25% ≤0%
Risk Factors for COVID-19 and Respiratory Tract Infections during the Coronavirus Pandemic
Laurynas Mockeliunas, Rob C Van Wijk, Caryn M Upton, Jonathan Peter, Andreas H Diacon, Ulrika S H Simonsson
Vaccines, doi:10.3390/vaccines12030329
1) Background: Some individuals are more susceptible to developing respiratory tract infections (RTIs) or coronavirus disease (COVID-19) than others. The aim of this work was to identify risk factors for symptomatic RTIs including COVID-19 and symptomatic COVID-19 during the coronavirus pandemic by using infection incidence, participant baseline, and regional COVID-19 burden data. (2) Methods: Data from a prospective study of 1000 frontline healthcare workers randomized to Bacillus Calmette-Guérin vaccination or placebo, and followed for one year, was analyzed. Parametric time-to-event analysis was performed to identify the risk factors associated with (a) non-specific symptomatic respiratory tract infections including COVID-19 (RTIs+COVID-19) and (b) symptomatic RTIs confirmed as COVID-19 using a polymerase chain reaction or antigen test (COVID-19). ( 3 ) Results: Job description of doctor or nurse (median hazard ratio [HR] 1.541 and 95% confidence interval [CI] 1.299-1.822), the reported COVID-19 burden (median HR 1.361 and 95% CI 1.260-1.469 for 1.4 COVID-19 cases per 10,000 capita), or a BMI > 30 kg/m 2 (median HR 1.238 and 95% CI 1.132-1.336 for BMI of 35.4 kg/m 2 ) increased the probability of RTIs+COVID-19, while positive SARS-CoV-2 serology at enrollment (median HR 0.583 and 95% CI 0.449-0.764) had the opposite effect. The reported COVID-19 burden (median HR 2.372 and 95% CI 2.116-2.662 for 1.4 COVID-19 cases per 10,000 capita) and a job description of doctor or nurse (median HR 1.679 and 95% CI 1.253-2.256) increased the probability of developing COVID-19, while smoking (median HR 0.428 and 95% CI 0.284-0.648) and positive SARS-CoV-2 serology at enrollment (median HR 0.076 and 95% CI 0.026-0.212) decreased it. (4) Conclusions: Nurses and doctors with obesity had the highest probability of developing RTIs including COVID-19. Non-smoking nurses and doctors had the highest probability of developing COVID-19 specifically. The reported COVID-19 burden increased the event probability, while positive SARS-CoV-2 IgG serology at enrollment decreased the probability of RTIs including COVID-19, and COVID-19 specifically.
Conflicts of Interest: The authors declare no conflicts of interest.
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DOI record: { "DOI": "10.3390/vaccines12030329", "ISSN": [ "2076-393X" ], "URL": "http://dx.doi.org/10.3390/vaccines12030329", "abstract": "<jats:p>(1) Background: Some individuals are more susceptible to developing respiratory tract infections (RTIs) or coronavirus disease (COVID-19) than others. The aim of this work was to identify risk factors for symptomatic RTIs including COVID-19 and symptomatic COVID-19 during the coronavirus pandemic by using infection incidence, participant baseline, and regional COVID-19 burden data. (2) Methods: Data from a prospective study of 1000 frontline healthcare workers randomized to Bacillus Calmette–Guérin vaccination or placebo, and followed for one year, was analyzed. Parametric time-to-event analysis was performed to identify the risk factors associated with (a) non-specific symptomatic respiratory tract infections including COVID-19 (RTIs+COVID-19) and (b) symptomatic RTIs confirmed as COVID-19 using a polymerase chain reaction or antigen test (COVID-19). (3) Results: Job description of doctor or nurse (median hazard ratio [HR] 1.541 and 95% confidence interval [CI] 1.299–1.822), the reported COVID-19 burden (median HR 1.361 and 95% CI 1.260–1.469 for 1.4 COVID-19 cases per 10,000 capita), or a BMI &gt; 30 kg/m2 (median HR 1.238 and 95% CI 1.132–1.336 for BMI of 35.4 kg/m2) increased the probability of RTIs+COVID-19, while positive SARS-CoV-2 serology at enrollment (median HR 0.583 and 95% CI 0.449–0.764) had the opposite effect. The reported COVID-19 burden (median HR 2.372 and 95% CI 2.116–2.662 for 1.4 COVID-19 cases per 10,000 capita) and a job description of doctor or nurse (median HR 1.679 and 95% CI 1.253–2.256) increased the probability of developing COVID-19, while smoking (median HR 0.428 and 95% CI 0.284–0.648) and positive SARS-CoV-2 serology at enrollment (median HR 0.076 and 95% CI 0.026–0.212) decreased it. (4) Conclusions: Nurses and doctors with obesity had the highest probability of developing RTIs including COVID-19. Non-smoking nurses and doctors had the highest probability of developing COVID-19 specifically. The reported COVID-19 burden increased the event probability, while positive SARS-CoV-2 IgG serology at enrollment decreased the probability of RTIs including COVID-19, and COVID-19 specifically.</jats:p>", "alternative-id": [ "vaccines12030329" ], "author": [ { "ORCID": "http://orcid.org/0000-0002-7008-4946", "affiliation": [ { "name": "Department of Pharmaceutical Biosciences, Uppsala University, 751 24 Uppsala, Sweden" } ], "authenticated-orcid": false, "family": "Mockeliunas", "given": "Laurynas", "sequence": "first" }, { "affiliation": [ { "name": "Department of Pharmaceutical Biosciences, Uppsala University, 751 24 Uppsala, Sweden" } ], "family": "van Wijk", "given": "Rob C.", "sequence": "additional" }, { "affiliation": [ { "name": "TASK, Cape Town 7500, South Africa" } ], "family": "Upton", "given": "Caryn M.", "sequence": "additional" }, { "affiliation": [ { "name": "Allergy and Immunology Unit, University of Cape Town Lung Institute and Division of Allergy and Clinical Immunology, University of Cape Town, Cape Town 7700, South Africa" } ], "family": "Peter", "given": "Jonathan", "sequence": "additional" }, { "affiliation": [ { "name": "TASK, Cape Town 7500, South Africa" } ], "family": "Diacon", "given": "Andreas H.", "sequence": "additional" }, { "ORCID": "http://orcid.org/0000-0002-3424-9686", "affiliation": [ { "name": "Department of Pharmaceutical Biosciences, Uppsala University, 751 24 Uppsala, Sweden" } ], "authenticated-orcid": false, "family": "Simonsson", "given": "Ulrika S. 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