Table 1_Epidemiology of respiratory infectious diseases after the relaxation of COVID-19 p

A retrospective study analyzes epidemiological patterns for six respiratory pathogens in Xiamen, Fujian Province, over one year following the relaxation of COVID-19 control measures. The dataset likely contains results from throat swab antigen tests, PCR assays, and serological IgM testing. Author Linlin Qu published the findings on figshare under a CC-BY-4.0 license.

Use Cases

• Analyze seasonal prevalence patterns based on the described peaks for influenza A in spring and Mycoplasma pneumoniae in autumn/winter.
• Model age-specific vulnerabilities based on the described dominance of RSV and rhinovirus in the 0–4 age group and other viruses in the 5–14 age group.
• Investigate gender disparities in infection rates based on the described significant differences (p < 0.05) across several pathogens.
• Compare diagnostic method outcomes based on the described prioritization of PCR results over serological IgM tests.

Strengths

• Focuses on a specific, post-pandemic time period following the relaxation of COVID-19 policies.
• Includes data for six prevalent respiratory pathogens, with influenza A identified as the most prevalent at 32.5%.
• Provides detailed epidemiological breakdowns by season, age group, and gender.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data scope is limited to a single city (Xiamen) and a one-year period.

Provenance

Source

Linlin Qu

Collection Method

Statistical analysis of testing data from throat swab antigen tests, PCR assays, and serological IgM testing.

Time Range

One year following the relaxation of COVID-19 control measures.

Freshness

Last updated 2026-04-29 05:56:48; freshness should be verified.

Geography

Xiamen, Fujian Province, China.