Impact of non-pharmacological interventions on incidence of hand, foot and mouth disease during the COVID-19 pandemic: a large population-based observational study
BMC Infectious Diseases·
- DOI
- 10.1186/s12879-024-10252-z
- PMID
- 39592994
- PMCID
- PMC11600608
- OpenAlex
- W4404779319
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The article is relevant to infectious-disease control because it evaluates HFMD incidence during a period when COVID-19 mitigation measures were in place. The abstract frames HFMD as a common contagious disease with transmission characteristics relevant to intervention planning.
Structured evidence summary
Research question
The study examined whether COVID-19-era non-pharmacological measures were associated with changes in hand, foot and mouth disease incidence in Anhui, China.
Study design
This was a large population-based observational study using HFMD surveillance data from 2015 to 2020 and a Bayesian structural time-series approach to estimate a counterfactual incidence pattern.
Population and setting
The setting was Anhui Province, China, using data from the provincial disease control center. The abstract notes HFMD is especially common among children younger than five, but the reported results include sex and age-group comparisons without fully defining the analytic population.
Main findings
During weeks 4 to 20 of 2020, 915 HFMD cases were observed compared with 17,790 expected by the model, corresponding to an estimated 94.9% lower case count. The abstract reports similar reductions by sex and broadly similar declines across age groups.
Public-health relevance
The article is relevant to infectious-disease control because it evaluates HFMD incidence during a period when COVID-19 mitigation measures were in place. The abstract frames HFMD as a common contagious disease with transmission characteristics relevant to intervention planning.
Important limitations
The abstract describes an observational, model-based counterfactual analysis using surveillance data from one Chinese province, so interpretation depends on the surveillance dataset and modeling assumptions. This summary is limited to the supplied single-article abstract and metadata; the original paper is needed for decision-grade assessment.
GIDS interpretation
For discovery and editorial context, the metadata and classifiers place this peer-reviewed BMC Infectious Diseases article in China-related surveillance, outbreak investigation, and transmission-dynamics contexts, with COVID-19/SARS classifier links. These links support indexing context only and should not be read as confirmation of any live surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 13 auditable classifier relationships to diseases, places, topics, and study design.