Apr 27, 2021 · As a result, age-stratified modeling for COVID-19 dynamics is the key to study how to reduce hospitalizations and mortality from COVID-19. By ...

We derive several key epidemiological metrics and then propose an age-stratified vaccination strategy to decrease the mortality and hospitalizations.

The key contributions of this paper are summarized as follows. • We employ multitype random network theory to develop an age-stratified epidemic model for COVID ...

The risk of severe illness and mortality from COVID-19 significantly increases with age, highlighting the importance of age-stratified modeling for reducing ...

Age-Stratified COVID-19 Spread Analysis and Vaccination : A Multitype Random Network Approach. Research output: Journal Publications and Reviews › RGC 21 ...

We derive several key epidemiological metrics and then propose an age-stratified vaccination strategy to decrease the mortality and hospitalizations. Through ...

This work proposes an age-stratified discrete compartment model as an alternative to differential equation based S-I-R type of models that captures the ...

Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach. The risk of severe illness and mortality from COVID-19 ...

To study these disparities, we construct an age-and-race-stratified mathematical model of SARS-CoV-2 transmission fitted to age-and-race-stratified data from ...

Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach · Xianhao Chen · Guangyu Zhu · Lan Zhang · Yuguang Fang · Linke Guo.