Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia

Diana Barsasella, Arief Tarmansyah Iman, Fery Fadly, Mohy Uddin, Arshad Mohammed, Tazeem Shaik, Hermawan Saputra, Shwetambara Malwade, Eshita Dhar, Zakiah, Nurhadi, Jitendra Jonnagaddala, Shabbir Syed-Abdul

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Epidemiological surveillance is an essential component of public health practice especially during infectious disease outbreaks. It is critical to offer transparent epidemiological information in a rigorous manner at different regional levels in countries for managing the outbreak situations. The objectives of this research are to better understand the information flow of COVID-19 health monitoring systems and to determine the data gaps of COVID-19 incidence at the national and provincial levels in Indonesia. COVID-19 information flow was researched using government websites at the national and various provincial levels. To find the disparities, we assessed the number of cases reported at both levels at the same time and displayed the absolute and relative differences. The findings revealed that out of a total of 34 provinces in Indonesia, data differences were seen in 25 (73.52%) provinces in terms of positive cases, 31 (91.18%) provinces in terms of cured cases, and 28 (82.35%) provinces of the number of deaths. Our results showed a pressing need for high-quality, transparent, and timely information. The integration of COVID-19 data in Indonesia has not been optimal, implying that the reported COVID-19 incidence rate may be biased or delayed. COVID-19 incidents must be better monitored to disrupt the disease’s transmission chain.

Original languageEnglish
Article number204
JournalHealthcare (Switzerland)
Issue number2
Publication statusPublished - Feb 2022


  • COVID-19 reporting
  • Data collection
  • Health surveillance
  • Healthcare system
  • Information flow

ASJC Scopus subject areas

  • Health Informatics
  • Health Policy
  • Health Information Management
  • Leadership and Management


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