Reinfection hazard of hand-foot-mouth disease in Wuhan, China, using Cox-proportional hazard model

Epidemiol Infect. 2018 Jul;146(10):1337-1342. doi: 10.1017/S0950268818001322. Epub 2018 May 30.

Abstract

Hand-foot-mouth disease (HFMD) is an acute infectious disease caused by serotypes of the enterovirus (EV) family. HFMD reinfection occurs commonly in lack of cross-protection between different EV serotypes. In this study, we investigated the hazards of HFMD reinfection using Cox-proportional hazard model. Retrospective data of 95 209 HFMD cases in Wuhan during 2008-2015 was used. Kaplan-Meier survival methods and Cox-proportional hazard model were used to estimate the hazard probabilities. Of the all HFMD cases, about 2% experienced reinfection (1842/95 209). Kaplan-Meier curves revealed the reinfection risk sharply increased before 40 months from first infection. Higher hazards of reinfection were detected among those who were males, aged 3 years and below, scattered children, belonging to urban areas and first infected with coxsackievirus (CV)-A16 compared with their respective counterparts. Cox-proportional hazard model suggested that gender, age, group, living area and serotypes of first infection had significant effect on reinfection even after adjusting for potential confounding effects of other selected factors considered in the study. These results indicate that boys aged 3 years and below, especially those living in urban areas and first infected with CV-A16 are more prone to reinfection. Interventions should be imposed on these high-risk populations.

Keywords: Cox-proportional hazard; HFMD; epidemiology; infection.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Child, Preschool
  • China / epidemiology
  • Enterovirus / immunology*
  • Female
  • Hand, Foot and Mouth Disease / epidemiology*
  • Hand, Foot and Mouth Disease / virology*
  • Humans
  • Male
  • Proportional Hazards Models
  • Recurrence
  • Rural Population / statistics & numerical data
  • Serogroup
  • Sex Factors
  • Urban Population / statistics & numerical data