Risk factors and prediction model for repeated hand, foot, and mouth disease infections in Songjiang District, Shanghai, China: a retrospective cohort study (2016–2019) with temporal external validation using 2021–2025 surveillance data

Abstract Background Hand, foot, and mouth disease (HFMD) is a major public health concern in China, with repeated infections occurring in a subset of children. We aimed to identify factors independently associated with repeated HFMD infection using a rate-based framework with person-time offsets and develop a fixed-window prediction model with temporal external validation. Methods A retrospective cohort study used surveillance data from Songjiang District, Shanghai (2016–2019), including 14,408 individuals with valid 18-digit identification numbers. Repeated infection was a second episode ≥ 14 days later. The primary analysis estimated repeat-infection rate ratios (RRs) using Poisson regression with the logarithm of each individual’s observation time (index episode to end-2019) as an offset; overdispersion was assessed; negative binomial models served as sensitivity analyses. Sparse categories were merged before fitting. A two-year prediction model (repeated infection within 730 days) used L2-regularized logistic regression in individuals with a 2016–2017 index episode ( n = 7,684, 130 events), validated internally and temporally (2021–2023 index episodes; n = 5,191, 39 events). Results Among 14,408 individuals, 236 repeated episodes occurred over 30,339 person-years (0.78 per 100 person-years). In the multivariable model, male sex was associated with a higher repeat-infection rate (RR = 1.380, 95% CI: 1.053–1.808, P = 0.020), whereas kindergarten attendance (RR = 0.549, 95% CI: 0.393–0.769, P < 0.001) and student status (RR = 0.279, 95% CI: 0.106–0.733, P = 0.010) were associated with lower rates than scattered (home-cared) childcare. Summer (RR = 0.638, P = 0.008) and autumn (RR = 0.570, P = 0.004) index onsets were associated with lower rates than spring onset; these associations were attenuated after adjustment for calendar season during follow-up, indicating that they partly reflect the exposure structure. The prediction model remained exploratory with limited predictive utility (apparent AUC 0.649; temporal external AUC 0.612, 95% CI: 0.532–0.696; calibration slope 0.508). Conclusions Male sex and scattered (home-cared) childcare were independently associated with a higher repeat-infection rate, whereas the index-season associations should be interpreted cautiously because they partly reflect calendar-time exposure structure. The prediction model is exploratory with limited predictive utility. Findings may help characterize higher-risk subgroups pending prospective confirmation.

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Publication Details

Journal
BMC Infectious Diseases
Published
2026-11-05
DOI
https://doi.org/10.1186/s12879-026-14665-w
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
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article

Risk factors and prediction model for repeated hand, foot, and mouth disease infections in Songjiang District, Shanghai, China: a retrospective cohort study (2016–2019) with temporal external validation using 2021–2025 surveillance data

孔元原, Ning Han, Zhongxing Sun, Xihong Lv et al.
BMC Infectious Diseases
Viral Infections and Outbreaks Research
article

Risk factors and prediction model for repeated hand, foot, and mouth disease infections in Songjiang District, Shanghai, China: a retrospective cohort study (2016–2019) with temporal external validation using 2021–2025 surveillance data

孔元原, Ning Han, Zhongxing Sun, Xihong Lv, Meng Li
article en

Abstract

Abstract Background Hand, foot, and mouth disease (HFMD) is a major public health concern in China, with repeated infections occurring in a subset of children. We aimed to identify factors independently associated with repeated HFMD infection using a rate-based framework with person-time offsets and develop a fixed-window prediction model with temporal external validation. Methods A retrospective cohort study used surveillance data from Songjiang District, Shanghai (2016–2019), including 14,408 individuals with valid 18-digit identification numbers. Repeated infection was a second episode ≥ 14 days later. The primary analysis estimated repeat-infection rate ratios (RRs) using Poisson regression with the logarithm of each individual’s observation time (index episode to end-2019) as an offset; overdispersion was assessed; negative binomial models served as sensitivity analyses. Sparse categories were merged before fitting. A two-year prediction model (repeated infection within 730 days) used L2-regularized logistic regression in individuals with a 2016–2017 index episode ( n = 7,684, 130 events), validated internally and temporally (2021–2023 index episodes; n = 5,191, 39 events). Results Among 14,408 individuals, 236 repeated episodes occurred over 30,339 person-years (0.78 per 100 person-years). In the multivariable model, male sex was associated with a higher repeat-infection rate (RR = 1.380, 95% CI: 1.053–1.808, P = 0.020), whereas kindergarten attendance (RR = 0.549, 95% CI: 0.393–0.769, P < 0.001) and student status (RR = 0.279, 95% CI: 0.106–0.733, P = 0.010) were associated with lower rates than scattered (home-cared) childcare. Summer (RR = 0.638, P = 0.008) and autumn (RR = 0.570, P = 0.004) index onsets were associated with lower rates than spring onset; these associations were attenuated after adjustment for calendar season during follow-up, indicating that they partly reflect the exposure structure. The prediction model remained exploratory with limited predictive utility (apparent AUC 0.649; temporal external AUC 0.612, 95% CI: 0.532–0.696; calibration slope 0.508). Conclusions Male sex and scattered (home-cared) childcare were independently associated with a higher repeat-infection rate, whereas the index-season associations should be interpreted cautiously because they partly reflect calendar-time exposure structure. The prediction model is exploratory with limited predictive utility. Findings may help characterize higher-risk subgroups pending prospective confirmation.

BMC Infectious Diseases
Openalex Percentile: Top 13%
Viral Infections and Outbreaks Research
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