Evidence map›Paper›PMID 33882594›Full record

ArticleYearbook of medical informatics2021

Managing Pandemics with Health Informatics: Successes and Challenges.

Mujeeb A Basit, Christoph U Lehmann, Richard J Medford

Abstract readAddress
In one paragraph

Article in Yearbook of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. A National Discussion of COVID-19 on Twitter.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2024
    Article
  4. Article
  5. Article
  6. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Social media: A new tool for outbreak surveillance.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2021
    Review
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

3 authors.

Mujeeb A BasitClinical Informatics Center, UT Southwestern, Medical Center, Dallas, TX, USA.
Christoph U LehmannClinical Informatics Center, UT Southwestern, Medical Center, Dallas, TX, USA.
Richard J MedfordClinical Informatics Center, UT Southwestern, Medical Center, Dallas, TX, USA.

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
NCATS NIH HHS UL1 TR003163
6 · The paper itself

Abstract

introductionThe novel COVID-19 pandemic struck the world unprepared. This keynote outlines challenges and successes using data to inform providers, government officials, hospitals, and patients in a pandemic.

methodsThe authors outline the data required to manage a novel pandemic including their potential uses by governments, public health organizations, and individuals.

resultsAn extensive discussion on data quality and on obstacles to collecting data is followed by examples of successes in clinical care, contact tracing, and forecasting. Generic local forecast model development is reviewed followed by ethical consideration around pandemic data. We leave the reader with thoughts on the next inevitable outbreak and lessons learned from the COVID-19 pandemic.

conclusionCOVID-19 must be a lesson for the future to direct us to better planning and preparing to manage the next pandemic with health informatics.

Indexed as

Data CollectionMedical InformaticsArtificial IntelligenceContact TracingCOVID-19ForecastingHealth Care RationingHealth WorkforceHumansPandemicsTelemedicine

Identifiers

PMID33882594
PMCPMC8416223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.