Skip to main content
Oxford University Press - PMC COVID-19 Collection logoLink to Oxford University Press - PMC COVID-19 Collection
letter
. 2021 Feb 9:fdab016. doi: 10.1093/pubmed/fdab016

COVID-19 data gaps and lack of transparency undermine pandemic response

Elias Kondilis 1,, Dimitris Papamichail 2, Valentina Gallo 3, Alexis Benos 4
PMCID: PMC7928702  PMID: 33559684

 

Dear Editor

Ronquillo et al. correctly argue that collecting and synthesizing data and information quickly is crucial for managing any public health emergency.1 Timely, complete and accessible surveillance data are necessary for monitoring the progression of an epidemic and designing targeted and effective containment measures. Transparency and data accessibility are also perquisites for building trust, increasing public compliance to public health measures and allowing fairness and accountability in decision-making.2

Building on the management experience of previous epidemic crises, the World Health Organisation (WHO) and the European Centre for Disease Prevention and Control (ECDC) relatively early in the COVID-19 pandemic, set minimum standards and recommendations for member states regarding routine surveillance data collection and reporting (Table 1, columns 1 and 2).

Table 1.

Completeness and accessibility of COVID-19 surveillance data in Greece

Indicator Stratification of data Completeness and data accessibility
Number of confirmed COVID-19 cases • By age group and sex• By health region, prefecture and postal code• By nationality and ethnic background• By occupation and/or socioeconomic status• Among healthcare and social care workers• Among enclosed population groups (e.g. nursing homes, refugee camps and facilities, prisons)• Among students in schools and universities• Among vulnerable population groups (e.g. Roma, homeless) COVID-19 confirmed cases and deaths by age group and sex reported daily by the NPHO. Geographical distribution of cases presented daily since December 16th (295th day since the onset of the epidemic). No further stratification of data provided.
Number of confirmed COVID-19 deaths
Number of persons tested for COVID-19 Number of tests by type (PCR, rapid Ag test) reported daily by the NPHO. Test positivity rates were first provided on December 16th (295th day since the onset of the epidemic) and reported since then on a weekly basis.
Number of patients hospitalized due to COVID-19 Daily reporting on number of hospitalized COVID-19 cases interrupted on March 25th. Since then, no publicly available data, no reporting to ECDC
Number of patients hospitalized in ICU/HDUs with COVID-19 Number of COVID-19 cases hospitalized in ICUs by age group and sex reported daily by the NPHO. No further stratification of data provided.
Number of confirmed COVID-19 cases discharged Daily reporting on number of COVID-19 hospital discharges interrupted on March 25th. Since then, no publicly available data, no reporting to ECDC
Available beds and occupancy rates in COVID-19 related hospital beds and ICU/HDUs • By health region• By prefecture• By hospital No publicly available data, no reporting to ECDC. The Ministry of Health provides fragmented information on an ad hoc basis.
Number of COVID-19 outbreaks • Nosocomial• In long-term care facilities• In refugee camps and facilities, prisons• In schools, universities• By type of workplace Only number of COVID-19 cases in refugee camps and facilities reported on a weekly basis by the NPHO. No further official data or information is publicly available. The media provide fragmented information on workplace and nursing home outbreaks on an ad hoc basis.
Contact tracing data • Place of infection• Type of contacts most affected• Common settings of transmission No publicly available data, no reporting to ECDC. The General Secretariat of Civil Protection provides fragmented information on an ad hoc basis.

Notes: NPHO, National Public Health Organization; ICU, Intensive Care Units; HDU, High Dependency Units.

WHO guidelines require member states to collect and report aggregated data on COVID-19 confirmed cases and deaths (both stratified by age group and sex); number of tests and hospitalized cases and discharges.3 On top of WHO data, ECDC asks European member states to collect and report data on the geographical spread of the pandemic; data related to COVID-19 healthcare impact (e.g. confirmed cases among healthcare workers, availability of ICU beds); outbreak surveillance data and contact tracing data.4 Academics have argued that the previous minimum data sets need to be further stratified (e.g. reporting cases and deaths by occupation, nationality, race, postal code) in order to uncover inequalities and achieve operational effectiveness in the control of the epidemic at the local level.

Greece recently faced a severe second COVID-19 wave. Despite having enough time to prepare due to the few cases until June, and ignoring early calls for urgent investment on epidemiological surveillance and transparency,5 the system is still failing to collect adequate data and even report minimum indicators (Table 1, column 3). Aggregated data on COVID-19 hospitalized cases and discharges are neither publicly accessible nor reported to ECDC or WHO, data on COVID-19 confirmed cases or deaths among healthcare workers are not collected. Outbreaks in nursing homes or workplaces are reported only by the media and contact tracing data are not publicly available. COVID-19 cases and deaths are not stratified by ethnic background, occupation or socioeconomic status.

These serious data gaps are not unique in Europe6 and are mostly related to the lack of prioritization and under-investment in local public health surveillance systems.5 Given the time needed in order to achieve herd immunity through vaccination, immediate investment in comprehensive epidemiological surveillance is the only way to maintain reduced levels of transmission and avoid resurgences.

Contributor Information

Elias Kondilis, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki Greece.

Dimitris Papamichail, Department of Public Health Policy, University of West Attica, 11521 Athens Greece.

Valentina Gallo, Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands.

Alexis Benos, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki Greece.

References

  • 1. Ronquillo  JG, Lester  WT, Zuckerman  DM. Using informatics to guide public health policy during the COVID-19 pandemic in the USA. J Public Health  2020;42:660–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. O’Malley  P, Rainford  J, Thompson  A. Transparency during public health emergencies: from rhetoric to reality. Bull World Health Organ  2009;87:614–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. World Health Organization . Global surveillance for COVID-19 caused by human infection with COVID-19 virus, Interim guidance 20 March 2020. Geneva: World Health Organization, 2020. [Google Scholar]
  • 4. European Centre for Disease Prevention and Control . Strategies for the surveillance of Covid-19. Technical report 9 April 2020. Stockholm: European Centre for Disease Prevention and Control, 2020. [Google Scholar]
  • 5. Kondilis  E, Benos  A. Epidemic preparedness requires the collection of comprehensive data and transparency in its communication. Thessaloniki: Centre for Research and Education in Public Health, Health Policy and Primary Healthcare, 2020. https://www.healthpolicycenter.gr/en/. [Google Scholar]
  • 6. Roderick  P, Macfarlane  A, Pollock  AM. Getting back on track: control of covid-19 outbreaks in the community. BMJ  2020;369:m2484. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Public Health (Oxford, England) are provided here courtesy of Oxford University Press

RESOURCES