» Articles » PMID: 26424846

Social Contacts, Vaccination Decisions and Influenza in Japan

Overview
Specialty Health Services
Date 2015 Oct 2
PMID 26424846
Citations 49
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Contact patterns and vaccination decisions are fundamental to transmission dynamics of infectious diseases. We report on age-specific contact patterns in Japan and their effect on influenza vaccination behaviour.

Methods: Japanese adults (N=3146) were surveyed in Spring 2011 to assess the number of their social contacts within a 24 h period, defined as face-to-face conversations within 2 m, and gain insight into their influenza-related behaviour. We analysed the duration and location of contacts according to age. Additionally, we analysed the probability of vaccination and influenza infection in relation to the number of contacts controlling for individual's characteristics.

Results: The mean and median reported numbers of daily contacts were 15.3 and 12.0, respectively. School-aged children and young adults reported the greatest number of daily contacts, and individuals had the most contacts with those in the same age group. The age-specific contact patterns were different between men and women, and differed between weekdays and weekends. Children had fewer contacts between the same age groups during weekends than during weekdays, due to reduced contacts at school. The probability of vaccination increased with the number of contacts, controlling for age and household size. Influenza infection among unvaccinated individuals was higher than for those vaccinated, and increased with the number of contacts.

Conclusions: Contact patterns in Japan are age and gender specific. These contact patterns, as well as their interplay with vaccination decisions and infection risks, can help inform the parameterisation of mathematical models of disease transmission and the design of public health policies, to control disease transmission.

Citing Articles

Socioeconomic disparities in risk perceptions and precautionary actions against COVID-19 among the working age population aged 18-59 in Japan: a cross-sectional study.

Shimamoto K, Ibuka Y BMJ Public Health. 2025; 2(1):e000181.

PMID: 40018181 PMC: 11812742. DOI: 10.1136/bmjph-2023-000181.


Directly observed social contact patterns among school children in rural Gambia.

Osei I, Mendy E, van Zandvoort K, Jobe O, Sarwar G, Wutor B Epidemics. 2024; 49:100790.

PMID: 39270441 PMC: 11649533. DOI: 10.1016/j.epidem.2024.100790.


Comprehensive profiling of social mixing patterns in resource poor countries: A mixed methods research protocol.

Aguolu O, Kiti M, Nelson K, Liu C, Sundaram M, Gramacho S PLoS One. 2024; 19(6):e0301638.

PMID: 38913670 PMC: 11195963. DOI: 10.1371/journal.pone.0301638.


Evaluating Seasonal Variations in Human Contact Patterns and Their Impact on the Transmission of Respiratory Infectious Diseases.

Kummer A, Zhang J, Jiang C, Litvinova M, Ventura P, Garcia M Influenza Other Respir Viruses. 2024; 18(5):e13301.

PMID: 38733199 PMC: 11087848. DOI: 10.1111/irv.13301.


Social contacts patterns relevant to the transmission of infectious diseases in Suzhou, China following the COVID-19 epidemic.

Wang M, Wang C, Gui G, Guo F, Zha R, Sun H J Health Popul Nutr. 2024; 43(1):58.

PMID: 38725055 PMC: 11080078. DOI: 10.1186/s41043-024-00555-x.


References
1.
Brownstein J, Kleinman K, Mandl K . Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system. Am J Epidemiol. 2005; 162(7):686-93. PMC: 1266301. DOI: 10.1093/aje/kwi257. View

2.
Edmunds W, OCallaghan C, Nokes D . Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections. Proc Biol Sci. 1997; 264(1384):949-57. PMC: 1688546. DOI: 10.1098/rspb.1997.0131. View

3.
Wallinga J, Teunis P, Kretzschmar M . Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. Am J Epidemiol. 2006; 164(10):936-44. DOI: 10.1093/aje/kwj317. View

4.
Galvani A, Reluga T, Chapman G . Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum. Proc Natl Acad Sci U S A. 2007; 104(13):5692-7. PMC: 1838447. DOI: 10.1073/pnas.0606774104. View

5.
Mossong J, Hens N, Jit M, Beutels P, Auranen K, Mikolajczyk R . Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med. 2008; 5(3):e74. PMC: 2270306. DOI: 10.1371/journal.pmed.0050074. View