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    <identifier>10.57760/sciencedb.32764</identifier>
    <datestamp>2025-12-02T18:11:28Z</datestamp>
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  <dc:date>2025-12-02</dc:date>
  <dc:title>Timeliness Criteria for Infectious Disease Reporting and Review，Criteria for Data Quality Audit and Problem Identification in Infectious Disease Reporting Cards</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.32764</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>From 2023 to 2024, the Huangpu District CDC in Guangzhou established refined quality control rules for a Python-based application, guided by the national specifications for infectious disease information management. These rules evaluate reporting and review timeliness, ID number validity, and data integrity for 11 key fields&amp;mdash;including patient demographics (e.g., age, address, contact), case details (e.g., onset date, diagnosis, disease name), and classification information&amp;mdash;to ensure data accuracy and logical consistency. This process begins with reporting by healthcare institutions through the national system, followed by review at the district/county CDC level</dc:description>
  <dc:subject>Infectious Disease Reporting; Data Quality Control; Timeliness Assessment; Evaluation Rules</dc:subject>
  <dc:creator>xie cai wen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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