Evidence map›Paper›PMID 33889555›Full record

ReviewFrontiers in public health2021

Convergence of Precision Medicine and Public Health Into Precision Public Health: Toward a Big Data Perspective.

Pedro Elkind Velmovitsky, Tatiana Bevilacqua, Paulo Alencar, Donald Cowan, Plinio Pelegrini Morita

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Article
  2. Review
  3. Real-world data and evidence: pioneering frontiers in precision oncology.Journal of Zhejiang University. Science. B · 2025
    Review
  4. Article
  5. Integrating Artificial Intelligence Solutions from Precision Medicine and Genomics to Precision Public Health and Public Health Genomics Knowledge Base.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
    Article
  6. Article
  7. Precision public health after Covid-19: a scoping review.International journal for equity in health · 2025
    Article
  8. Review
  9. Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Leveraging mHealth Technologies for Public Health.JMIR public health and surveillance · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  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

5 authors.

Pedro Elkind VelmovitskySchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.
Tatiana BevilacquaSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.
Paulo AlencarDavid R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
Donald CowanDavid R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
Plinio Pelegrini MoritaSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of precision medicine explores disease treatments by looking at genetic, socio-environmental, and clinical factors, thus trying to provide a holistic view of a person's health. Public health, on the other hand, is focused on improving the health of populations through preventive strategies and timely interventions. With recent advances in technology, we are able to collect, analyze and store for the first-time large volumes of real-time, diverse and continuous health data. Typically, the field of precision medicine deals with a huge amount of data from few individuals; public health, on the other hand, deals with limited data from a population. With the coming of Big Data, the fields of precision medicine and public health are converging into precision public health, the study of biological and genetic factors supported by large amounts of population data. In this paper, we explore through a comprehensive review the data types and use cases found in precision medicine and public health. We also discuss how these data types and use cases can converge toward precision public health, as well as challenges and opportunities provided by research and analyses of health data.

Indexed as

Big DataPrecision MedicineDelivery of Health CareHumansPublic Healthartificial intelligencebig datadata analyticsprecision medicineprecision public healthpublic healthsystematic review

Identifiers

PMID33889555
PMCPMC8055845

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.