Evidence map›Paper›PMID 35760438›Full record

ReviewBMJ global health2022

A call for citizen science in pandemic preparedness and response: beyond data collection.

Yi-Roe Tan, Anurag Agrawal, Malebona Precious Matsoso, Rebecca Katz, Sara L M Davis, Andrea Sylvia Winkler, Annalena Huber, Ashish Joshi, Ayman El-Mohandes, Bruce Mellado and 18 more

Abstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Proposed approaches for public health surveillance: A literature review for the Canadian National HIV Surveillance Program.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Citizen Science Studies in Nursing: A Systematic Review.Nursing reports (Pavia, Italy) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Yi-Roe TanInternational Digital Health & AI Research Collaborative (I-DAIR), Geneva, Switzerland yi-roe.tan@graduateinstitute.ch.
Anurag AgrawalTrivedi School of Biosciences, Ashoka University, Sonepath, Haryana, India.
Malebona Precious MatsosoPharmacy & Pharmacology, University of Witwatersrand, Member of IPPPR, Johannesburg-Braamfontein, South Africa.
Rebecca KatzCenter for Global Health Science and Security, Georgetown University, Washington, District of Columbia, USA.
Sara L M DavisGlobal Health Centre, Graduate Institute Geneva, Geneva, Switzerland.ORCID 0000-0003-0914-3529
Andrea Sylvia WinklerCenter for Global Health, Department of Neurology, Technical University of Munich, Munchen, Germany.
Annalena HuberCenter for Global Health, Department of Neurology, Technical University of Munich, Munchen, Germany.
Ashish JoshiGraduate School of Public Health and Health Policy, City University of New York, New York, New York, USA.
Ayman El-MohandesGraduate School of Public Health and Health Policy, City University of New York, New York, New York, USA.
Bruce MelladoSchool of Physics and Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, South Africa.
Caroline Antonia MubairaZimbabwe National Network of People Living with HIV (ZNNP+), Harare, Zimbabwe.
Felipe C CanlasWireless Access for Health, Tarlac, Philippines.
Gershim AsikiAfrican Population and Health Research Center, Nairobi, Kenya.
Harjyot KhosaInternational Planned Parenthood Federation, New Delhi, India.
Jeffrey Victor LazarusHospital Cliínic, University of Barcelona, Instituto de Salud Global de Barcelona, Barcelona, Spain.ORCID 0000-0001-9618-2299
Marc ChoisyCentre for Tropical Medicine and Global Health, Univerity of Oxford Nuffield Department of Medicine, Oxford, Oxfordshire, UK.
Mariana Recamonde-MendozaInstitute of Informatics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Olivia KeiserInstitute of Global Health, Universite de Geneve, Geneva, GE, Switzerland.
Patrick OkwenEffective Basic Services (eBASE), Bamenda, Cameroon.
Rene EnglishDivision of Health Systems and Public Health, Department of Global Health, Stellenbosch University Faculty of Medicine and Health Sciences, Cape Town, Western Cape, South Africa.
Serge StinckwichUnited Nations University Institute in Macau, Macau SAR, China.
Sylvia Kiwuwa-MuyingoAfrican Population and Health Research Center, Nairobi, Kenya.
Tariro KutadzaZimbabwe National Network of People Living with HIV (ZNNP+), Harare, Zimbabwe.
Tavpritesh SethiComputational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, Delhi, India.
Thuso MathahaSchool of Physics and Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, South Africa.
Vinh Kim NguyenGlobal Health Centre, Graduate Institute Geneva, Geneva, Switzerland.
Amandeep GillInternational Digital Health & AI Research Collaborative (I-DAIR), Geneva, Switzerland.
Peiling YapInternational Digital Health & AI Research Collaborative (I-DAIR), Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has underlined the need to partner with the community in pandemic preparedness and response in order to enable trust-building among stakeholders, which is key in pandemic management. Citizen science, defined here as a practice of public participation and collaboration in all aspects of scientific research to increase knowledge and build trust with governments and researchers, is a crucial approach to promoting community engagement. By harnessing the potential of digitally enabled citizen science, one could translate data into accessible, comprehensible and actionable outputs at the population level. The application of citizen science in health has grown over the years, but most of these approaches remain at the level of participatory data collection. This narrative review examines citizen science approaches in participatory data generation, modelling and visualisation, and calls for truly participatory and co-creation approaches across all domains of pandemic preparedness and response. Further research is needed to identify approaches that optimally generate short-term and long-term value for communities participating in population health. Feasible, sustainable and contextualised citizen science approaches that meaningfully engage affected communities for the long-term will need to be inclusive of all populations and their cultures, comprehensive of all domains, digitally enabled and viewed as a key component to allow trust-building among the stakeholders. The impact of COVID-19 on people's lives has created an opportune time to advance people's agency in science, particularly in pandemic preparedness and response.

Indexed as

Citizen ScienceCOVID-19Community ParticipationData CollectionHumansPandemicsCOVID-19health systemsinfections, diseases, disorders, injuriespublic health

Identifiers

PMID35760438
PMCPMC9237878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.