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A five-compartment model of age-specific transmissibility of SARS-CoV-2
by
Xu, Jing-Wen
, Su, Yan-Hua
, Gao, Li-Dong
, Luo, Li
, Yin, Ling
, Rui, Jia
, Yu, Shan-Shan
, Xie, Fang
, Zhu, Yuan-Zhao
, Hu, Shi-Xiong
, Wang, Yao
, Yang, Meng
, Zhao, Ze-Yu
, Li, Jia
, Su, Ying-Ying
, Cui, Jing-An
, Hu, Qing-Qing
, Lei, Zhao
, Chen, Tian-Mu
, Liu, Xing-Chun
, Liu, Ruo-Yun
, Chiang, Yi-Chen
, Zhao, Ben-Hua
, Zhao, Qing-Long
in
Adolescent
/ Adult
/ Age Factors
/ Age groups
/ Age-specific dynamics
/ Aged
/ Analysis
/ Asymptomatic
/ Betacoronavirus - isolation & purification
/ Compartmental model
/ Coronavirus Infections - epidemiology
/ Coronavirus Infections - transmission
/ Coronaviruses
/ COVID-19
/ Disease transmission
/ Epidemiology
/ Female
/ Health aspects
/ Humans
/ Infectious Diseases
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Models, Statistical
/ Ordinary differential equations
/ Pandemics
/ Parameter estimation
/ Pneumonia, Viral - epidemiology
/ Pneumonia, Viral - transmission
/ Public Health
/ Research Article
/ SARS-CoV-2
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
/ Transmissibility
/ Transmission patterns and control of COVID-19 epidemic
/ Tropical Medicine
/ Young Adult
2020
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A five-compartment model of age-specific transmissibility of SARS-CoV-2
by
Xu, Jing-Wen
, Su, Yan-Hua
, Gao, Li-Dong
, Luo, Li
, Yin, Ling
, Rui, Jia
, Yu, Shan-Shan
, Xie, Fang
, Zhu, Yuan-Zhao
, Hu, Shi-Xiong
, Wang, Yao
, Yang, Meng
, Zhao, Ze-Yu
, Li, Jia
, Su, Ying-Ying
, Cui, Jing-An
, Hu, Qing-Qing
, Lei, Zhao
, Chen, Tian-Mu
, Liu, Xing-Chun
, Liu, Ruo-Yun
, Chiang, Yi-Chen
, Zhao, Ben-Hua
, Zhao, Qing-Long
in
Adolescent
/ Adult
/ Age Factors
/ Age groups
/ Age-specific dynamics
/ Aged
/ Analysis
/ Asymptomatic
/ Betacoronavirus - isolation & purification
/ Compartmental model
/ Coronavirus Infections - epidemiology
/ Coronavirus Infections - transmission
/ Coronaviruses
/ COVID-19
/ Disease transmission
/ Epidemiology
/ Female
/ Health aspects
/ Humans
/ Infectious Diseases
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Models, Statistical
/ Ordinary differential equations
/ Pandemics
/ Parameter estimation
/ Pneumonia, Viral - epidemiology
/ Pneumonia, Viral - transmission
/ Public Health
/ Research Article
/ SARS-CoV-2
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
/ Transmissibility
/ Transmission patterns and control of COVID-19 epidemic
/ Tropical Medicine
/ Young Adult
2020
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A five-compartment model of age-specific transmissibility of SARS-CoV-2
by
Xu, Jing-Wen
, Su, Yan-Hua
, Gao, Li-Dong
, Luo, Li
, Yin, Ling
, Rui, Jia
, Yu, Shan-Shan
, Xie, Fang
, Zhu, Yuan-Zhao
, Hu, Shi-Xiong
, Wang, Yao
, Yang, Meng
, Zhao, Ze-Yu
, Li, Jia
, Su, Ying-Ying
, Cui, Jing-An
, Hu, Qing-Qing
, Lei, Zhao
, Chen, Tian-Mu
, Liu, Xing-Chun
, Liu, Ruo-Yun
, Chiang, Yi-Chen
, Zhao, Ben-Hua
, Zhao, Qing-Long
in
Adolescent
/ Adult
/ Age Factors
/ Age groups
/ Age-specific dynamics
/ Aged
/ Analysis
/ Asymptomatic
/ Betacoronavirus - isolation & purification
/ Compartmental model
/ Coronavirus Infections - epidemiology
/ Coronavirus Infections - transmission
/ Coronaviruses
/ COVID-19
/ Disease transmission
/ Epidemiology
/ Female
/ Health aspects
/ Humans
/ Infectious Diseases
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Models, Statistical
/ Ordinary differential equations
/ Pandemics
/ Parameter estimation
/ Pneumonia, Viral - epidemiology
/ Pneumonia, Viral - transmission
/ Public Health
/ Research Article
/ SARS-CoV-2
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
/ Transmissibility
/ Transmission patterns and control of COVID-19 epidemic
/ Tropical Medicine
/ Young Adult
2020
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A five-compartment model of age-specific transmissibility of SARS-CoV-2
Journal Article
A five-compartment model of age-specific transmissibility of SARS-CoV-2
2020
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Overview
Background
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, also called 2019-nCoV) causes different morbidity risks to individuals in different age groups. This study attempts to quantify the age-specific transmissibility using a mathematical model.
Methods
An epidemiological model with five compartments (susceptible–exposed–symptomatic–asymptomatic–recovered/removed [SEIAR]) was developed based on observed transmission features. Coronavirus disease 2019 (COVID-19) cases were divided into four age groups: group 1, those ≤ 14 years old; group 2, those 15 to 44 years old; group 3, those 45 to 64 years old; and group 4, those ≥ 65 years old. The model was initially based on cases (including imported cases and secondary cases) collected in Hunan Province from January 5 to February 19, 2020. Another dataset, from Jilin Province, was used to test the model.
Results
The age-specific SEIAR model fitted the data well in each age group (
P
< 0.001). In Hunan Province, the highest transmissibility was from age group 4 to 3 (median:
β
43
= 7.71 × 10
− 9
;
SAR
43
= 3.86 × 10
− 8
), followed by group 3 to 4 (median:
β
34
= 3.07 × 10
− 9
;
SAR
34
= 1.53 × 10
− 8
), group 2 to 2 (median:
β
22
= 1.24 × 10
− 9
;
SAR
22
= 6.21 × 10
− 9
), and group 3 to 1 (median:
β
31
= 4.10 × 10
− 10
;
SAR
31
= 2.08 × 10
− 9
). The lowest transmissibility was from age group 3 to 3 (median:
β
33
= 1.64 × 10
− 19
;
SAR
33
= 8.19 × 10
− 19
), followed by group 4 to 4 (median:
β
44
= 3.66 × 10
− 17
;
SAR
44
= 1.83 × 10
− 16
), group 3 to 2 (median:
β
32
= 1.21 × 10
− 16
;
SAR
32
= 6.06 × 10
− 16
), and group 1 to 4 (median:
β
14
= 7.20 × 10
− 14
;
SAR
14
= 3.60 × 10
− 13
). In Jilin Province, the highest transmissibility occurred from age group 4 to 4 (median:
β
43
= 4.27 × 10
− 8
;
SAR
43
= 2.13 × 10
− 7
), followed by group 3 to 4 (median:
β
34
= 1.81 × 10
− 8
;
SAR
34
= 9.03 × 10
− 8
).
Conclusions
SARS-CoV-2 exhibits high transmissibility between middle-aged (45 to 64 years old) and elderly (≥ 65 years old) people. Children (≤ 14 years old) have very low susceptibility to COVID-19. This study will improve our understanding of the transmission feature of SARS-CoV-2 in different age groups and suggest the most prevention measures should be applied to middle-aged and elderly people.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Adult
/ Aged
/ Analysis
/ Betacoronavirus - isolation & purification
/ Coronavirus Infections - epidemiology
/ Coronavirus Infections - transmission
/ COVID-19
/ Female
/ Humans
/ Male
/ Medicine
/ Ordinary differential equations
/ Pneumonia, Viral - epidemiology
/ Pneumonia, Viral - transmission
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
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