TY - JOUR
T1 - Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia
AU - Barsasella, Diana
AU - Iman, Arief Tarmansyah
AU - Fadly, Fery
AU - Uddin, Mohy
AU - Mohammed, Arshad
AU - Shaik, Tazeem
AU - Saputra, Hermawan
AU - Malwade, Shwetambara
AU - Dhar, Eshita
AU - Zakiah,
AU - Nurhadi,
AU - Jonnagaddala, Jitendra
AU - Syed-Abdul, Shabbir
N1 - Funding Information:
This research was funded by Ministry of Science and Technology, Taiwan (108-2221-E-038-013, 110-2923-E-038-001-MY3); Taipei Medical University, Taiwan (108?3805?009?110,109?3800?020?400); Ministry of Education, Taiwan (108?6604?002?400); Wanfang hospital, Taiwan (106TMU-WFH-01-4).
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/2
Y1 - 2022/2
N2 - 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.
AB - 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.
KW - COVID-19 reporting
KW - Data collection
KW - Health surveillance
KW - Healthcare system
KW - Information flow
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U2 - 10.3390/healthcare10020204
DO - 10.3390/healthcare10020204
M3 - Article
AN - SCOPUS:85123220609
VL - 10
JO - Healthcare (Switzerland)
JF - Healthcare (Switzerland)
IS - 2
M1 - 204
ER -
