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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 22, 2020
Open Peer Review Period: Apr 22, 2020 - Jun 17, 2020
Date Accepted: Apr 5, 2021
Date Submitted to PubMed: Apr 26, 2021
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Age-Stratified Infection Probabilities Combined With a Quarantine-Modified Model for COVID-19 Needs Assessments: Model Development Study

Bongolan VP, Minoza JMA, de Castro R, Sevilleja JE

Age-Stratified Infection Probabilities Combined With a Quarantine-Modified Model for COVID-19 Needs Assessments: Model Development Study

J Med Internet Res 2021;23(5):e19544

DOI: 10.2196/19544

PMID: 33900929

PMCID: 8168636

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Age-stratified Infection Probabilities Combined with Quarantine-Modified SEIR Model in the Needs Assessments for COVID-19

  • Vena Pearl Bongolan; 
  • Jose Marie Antonio Minoza; 
  • Romulo de Castro; 
  • Jesus Emmanuel Sevilleja

ABSTRACT

We use the age-stratified COVID-19 infection and death distributions from China (more than 44,672 infectious as of February 11, 2020) as an estimate for a study area infection and morbidity probabilities at each age group. We then apply these probabilities into the actual age-stratified population to predict infectious individuals and deaths at peak. Testing with different countries shows the predicted infectious skewing with the country median age and age stratification, as expected. We added a Q parameter to the classic SEIR compartmental model to include the effect of quarantine (Q-SEIR). The projections from the age-stratified probabilities give much lower predicted incidences of infection than the Q-SEIR model. As expected, quarantine tends to delay the peaks for both Exposed and Infectious, and to flatten the curve or lower the predicted values for each compartment. These two estimates were used as a range to inform planning and response to the COVID-19 threat.


 Citation

Please cite as:

Bongolan VP, Minoza JMA, de Castro R, Sevilleja JE

Age-Stratified Infection Probabilities Combined With a Quarantine-Modified Model for COVID-19 Needs Assessments: Model Development Study

J Med Internet Res 2021;23(5):e19544

DOI: 10.2196/19544

PMID: 33900929

PMCID: 8168636

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