Estimating the basic reproductive number of varicella in South Korea incorporating social contact patterns and seroprevalence

References

• Marin M, Marti M, Kambhampati A, Jeram SM, Seward JF. Global varicella vaccine effectiveness: a meta-analysis. Pediatrics 2016;137(3):e20153741. doi:10.1542/peds.2015-3741.
   PubMed Web of Science ®Google Scholar
• Choi JK, Park SH, Park S, Choi SM, Kim SH, Lee DG, Yoo JH, Choi JH, Kang JH. Trends in varicella and herpes zoster epidemiology before and after the implementation of universal one-dose varicella vaccination over one decade in South Korea, 2003-2015. Hum Vaccin Immunother. 2019:1–7. doi:10.1080/21645515.2019.1603985.
   PubMed Web of Science ®Google Scholar
• Cheng HY, Chang LY, Lu CY, Huang LM. Epidemiology of breakthrough varicella after the implementation of a universal varicella vaccination program in Taiwan, 2004-2014. Sci Rep. 2018;8(1):17192. doi:10.1038/s41598-018-35451-y.
   PubMedGoogle Scholar
• Delamater PL, Street EJ, Leslie TF, Yang YT, Jacobsen KH. Complexity of the basic reproduction number (R0). Emerg Infect Dis. 2019;25(1):1–4. doi:10.3201/eid2501.171901.
   PubMed Web of Science ®Google Scholar
• Nardone A, De Ory F, Carton M, Cohen D, Van Damme P, Davidkin I, Rota MC, De Melker H, Mossong J, Slacikova M, et al. The comparative sero-epidemiology of varicella zoster virus in 11 countries in the European region. Vaccine. 2007;25(45):7866–72. doi:10.1016/j.vaccine.2007.07.036.
   PubMed Web of Science ®Google Scholar
• Fine P, Eames K, Heymann DL. “Herd immunity”: a rough guide. Clin Infect Dis. 2011;52(7):911–16. doi:10.1093/cid/cir007.
   PubMed Web of Science ®Google Scholar
• Taylor-Wiedeman J, Yamashita K, Miyamura K, Yamazaki S. Varicella-zoster virus prevalence in Japan: no significant change in a decade. Jpn J Med Sci Biol. 1989;42(1):1–11. doi:10.7883/yoken1952.42.1.
   PubMedGoogle Scholar
• KOSIS. Population projections for Korea, Statistics Korea. KOSIS(KOrean Statistical Information Service); 2019. accessed 2020 April 28. https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1BPA001&conn_path=I2&language=en
   Google Scholar
• KOSIS. Vital statistics, statistics Korea. KOSIS(Korean statistical information service); 2020. KOSIS. [accessed 2020 April 28]. https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B80A11&conn_path=I2&language=en
   Google Scholar
• Mossong J, Hens N, Jit M, Beutels P, Auranen K, Mikolajczyk R, Massari M, Salmaso S, Tomba GS, Wallinga J, et al. Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med. 2008;5(3):e74. doi:10.1371/journal.pmed.0050074.
   PubMed Web of Science ®Google Scholar
• Fu YC, Wang DW, Chuang JH. Representative contact diaries for modeling the spread of infectious diseases in Taiwan. PLoS One. 2012;7(10):e45113. doi:10.1371/journal.pone.0045113.
   PubMed Web of Science ®Google Scholar
• Goeyvaerts N, Hens N, Ogunjimi B, Aerts M, Shkedy Z, Damme PV, Beutels P. Estimating infectious disease parameters from data on social contacts and serological status. J R Stat Soc Ser C Appl Stat. 2010;59(2):255–77. doi:10.1111/j.1467-9876.2009.00693.x.
   Google Scholar
• Hens N, Shkedy Z, Aerts M, Faes C, Van Damme P, Beutels P. Modeling infectious disease parameters based on serological and social contact data: a modern statistical perspective. Springer Science & Business Media; 2012.
   Google Scholar
• Melegaro A, Del Fava E, Poletti P, Merler S, Nyamukapa C, Williams J, Gregson S, Manfredi P. Social contact structures and time use patterns in the Manicaland Province of Zimbabwe. PLoS One. 2017;12(1):e0170459. doi:10.1371/journal.pone.0170459.
   PubMed Web of Science ®Google Scholar
• Hens N, Wallinga J. Design and analysis of social contact surveys relevant for the spread of infectious diseases. Wiley StatsRef: Stat Ref Online. 2019. 1–15. [accessed 2020.04.28]. doi: 10.1002/9781118445112.stat07883.
   Google Scholar
• Mammen E, Marron J, Turlach B, Wand M. A general projection framework for constrained smoothing. Stat Sci. 2001;16(3):232–48. doi:10.1214/ss/1009213727.
   Web of Science ®Google Scholar
• Wood SN. Generalized additive models: an introduction with R. CRC press; 2017.
   Google Scholar
• R: A language and environment for statistical computing. 2020. R Core Team; https://www.R-project.org/
   Google Scholar
• Keeling M, Tildesley M, House T, Danon L The mathematics of vaccination. Math Today. 2013;49:40–43.
   Google Scholar
• Bonanni P, Gershon A, Gershon M, Kulcsar A, Papaevangelou V, Rentier B, Sadzot-Delvaux C, Usonis V, Vesikari T, Weil-Olivier C, et al. Primary versus secondary failure after varicella vaccination: implications for interval between 2 doses. Pediatr Infect Dis J. 2013;32(7):e305–13. doi:10.1097/INF.0b013e31828b7def.
   PubMed Web of Science ®Google Scholar
• Diekmann O, Heesterbeek J Mathematical epidemiology of infectious diseases: model building, analysis and interpretation. 2000
   Google Scholar
• Vynnycky E, White R. An introduction to infectious disease modelling. OUP oxford; 2010.
   Google Scholar
• Medić S, Katsilieris M, Lozanov-Crvenković Z, Siettos CI, Petrović V, Milošević V, Brkić S, Andrews N, Ubavić M, Anastassopoulou C. Varicella zoster virus transmission dynamics in Vojvodina, Serbia. PLoS One. 2018;13(3):e0193838. doi:10.1371/journal.pone.0193838.
   PubMed Web of Science ®Google Scholar
• Whitaker H, Farrington C. Infections with varying contact rates: application to varicella. Biometrics. 2004;60(3):615–23. doi:10.1111/j.0006-341X.2004.00210.x.
   PubMed Web of Science ®Google Scholar
• Van Effelterre T, Shkedy Z, Aerts M, Molenberghs G, Van Damme P, Beutels P. Contact patterns and their implied basic reproductive numbers: an illustration for varicella-zoster virus. Epidemiol Infect. 2009;137(1):48–57. doi:10.1017/S0950268808000563.
   PubMed Web of Science ®Google Scholar
• Ogunjimi B, Hens N, Goeyvaerts N, Aerts M, Van Damme P, Beutels P. Using empirical social contact data to model person to person infectious disease transmission: an illustration for varicella. Math Biosci. 2009;218(2):80–87. doi:10.1016/j.mbs.2008.12.009.
   PubMed Web of Science ®Google Scholar
• Goh AEN, Choi EH, Chokephaibulkit K, Choudhury J, Kuter B, Lee PI, Marshall H, Kim JO, Wolfson LJ. Burden of varicella in the Asia-Pacific region: a systematic literature review. Expert Rev Vaccines. 2019;18(5):475–93. doi:10.1080/14760584.2019.1594781.
   PubMed Web of Science ®Google Scholar
• Michalik DE, Steinberg SP, Larussa PS, Edwards KM, Wright PF, Arvin AM, Gans HA, Gershon AA. Primary vaccine failure after 1 dose of varicella vaccine in healthy children. J Infect Dis. 2008;197(7):944–49. doi:10.1086/529043.
   PubMed Web of Science ®Google Scholar
• Choi UY, Huh DH, Kim JH, Kang JH. Seropositivity of varicella zoster virus in vaccinated Korean children and MAV vaccine group. Hum Vaccin Immunother. 2016;12(10):2560–64. doi:10.1080/21645515.2016.1190056.
   PubMed Web of Science ®Google Scholar
• Oh SH, Choi EH, Shin SH, Kim YK, Chang JK, Choi KM, Hur JK, Kim KH, Kim JY, Chung EH, et al. Varicella and varicella vaccination in South Korea. Clin Vaccine Immunol. 2014;21(5):762–68. doi:10.1128/CVI.00645-13.
   PubMed Web of Science ®Google Scholar
• Kim SH, Lee HJ, Park SE, Oh SH, Lee SY, Choi EH. Seroprevalence rate after one dose of varicella vaccine in infants. J Infect. 2010;61(1):66–72. doi:10.1016/j.jinf.2010.04.001.
   PubMed Web of Science ®Google Scholar
• Chaves SS, Gargiullo P, Zhang JX, Civen R, Guris D, Mascola L, Seward JF. Loss of vaccine-induced immunity to varicella over time. N Engl J Med. 2007;356(11):1121–29. doi:10.1056/NEJMoa064040.
   PubMed Web of Science ®Google Scholar
• Scherer A, McLean A. Mathematical models of vaccination. Br Med Bull. 2002;62(1):187–99. doi:10.1093/bmb/62.1.187.
   PubMedGoogle Scholar
• KDCA. Infectious Diseases Surveillance Yearbook, 2019. KDCA(Korea disease control and prevention avency); 2020. KDCA. [accessed October 20, 2020]. http://www.kdca.go.kr/npt/biz/npp/portal/nppPblctDtaView.do?pblctDtaSeAt=1&pblctDtaSn=2139
   Google Scholar
• Melegaro A, Jit M, Gay N, Zagheni E, Edmunds WJ. What types of contacts are important for the spread of infections?: using contact survey data to explore European mixing patterns. Epidemics. 2011;3(3–4):143–51. doi:10.1016/j.epidem.2011.04.001.
   PubMed Web of Science ®Google Scholar