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A five-compartment model of age-specific transmissibility of SARS-CoV-2.
Zhao, Ze-Yu; Zhu, Yuan-Zhao; Xu, Jing-Wen; Hu, Shi-Xiong; Hu, Qing-Qing; Lei, Zhao; Rui, Jia; Liu, Xing-Chun; Wang, Yao; Yang, Meng; Luo, Li; Yu, Shan-Shan; Li, Jia; Liu, Ruo-Yun; Xie, Fang; Su, Ying-Ying; Chiang, Yi-Chen; Zhao, Ben-Hua; Cui, Jing-An; Yin, Ling; Su, Yan-Hua; Zhao, Qing-Long; Gao, Li-Dong; Chen, Tian-Mu.
  • Zhao ZY; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Zhu YZ; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Xu JW; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Hu SX; Hunan Provincial Center for Disease Control and Prevention, 405 Furong Middle Road Section One, Kaifu District, Changsha City, 410001, Hunan Province, People's Republic of China.
  • Hu QQ; Division of Public Health, School of Medicine, University of Utah, 201 Presidents Circle, Salt Lake City, UT, 84112, USA.
  • Lei Z; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Rui J; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Liu XC; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Wang Y; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Yang M; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Luo L; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Yu SS; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Li J; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Liu RY; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Xie F; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Su YY; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Chiang YC; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Zhao BH; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Cui JA; Department of Mathematics, School of Science, Beijing University of Civil Engineering and Architecture, Beijing, People's Republic of China.
  • Yin L; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, People's Republic of China.
  • Su YH; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China.
  • Zhao QL; Jilin Provincial Center for Disease Control and Prevention, 3145 Jingyang Big Road, Lvyuan District, Changchun, 130062, Jilin Province, People's Republic of China. jlcdczql@126.com.
  • Gao LD; Hunan Provincial Center for Disease Control and Prevention, 405 Furong Middle Road Section One, Kaifu District, Changsha City, 410001, Hunan Province, People's Republic of China. 810173358@qq.com.
  • Chen TM; State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, 4221-117 South Xiang'an Road, Xiang'an District, Xiamen City, 361102, Fujian Province, People's Republic of China. chentianmu@xmu.edu.cn.
Infect Dis Poverty ; 9(1): 117, 2020 Aug 26.
Article in English | MEDLINE | ID: covidwho-730583
ABSTRACT

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 ß43 = 7.71 × 10- 9; SAR43 = 3.86 × 10- 8), followed by group 3 to 4 (median ß34 = 3.07 × 10- 9; SAR34 = 1.53 × 10- 8), group 2 to 2 (median ß22 = 1.24 × 10- 9; SAR22 = 6.21 × 10- 9), and group 3 to 1 (median ß31 = 4.10 × 10- 10; SAR31 = 2.08 × 10- 9). The lowest transmissibility was from age group 3 to 3 (median ß33 = 1.64 × 10- 19; SAR33 = 8.19 × 10- 19), followed by group 4 to 4 (median ß44 = 3.66 × 10- 17; SAR44 = 1.83 × 10- 16), group 3 to 2 (median ß32 = 1.21 × 10- 16; SAR32 = 6.06 × 10- 16), and group 1 to 4 (median ß14 = 7.20 × 10- 14; SAR14 = 3.60 × 10- 13). In Jilin Province, the highest transmissibility occurred from age group 4 to 4 (median ß43 = 4.27 × 10- 8; SAR43 = 2.13 × 10- 7), followed by group 3 to 4 (median ß34 = 1.81 × 10- 8; SAR34 = 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: Infect Dis Poverty Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Models, Statistical / Coronavirus Infections Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: Infect Dis Poverty Year: 2020 Document Type: Article