Evidence map›Paper›PMID 33160803›Full record

ArticleThe American journal of emergency medicine2021

The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness.

Attila J Hertelendy, Krzysztof Goniewicz, Amir Khorram-Manesh

Abstract readLetter
In one paragraph

Article in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. AI applications in disaster governance with health approach: A scoping review.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Article
  3. Article
  4. Spatial Syndromic Surveillance and COVID-19 in the U.S.: Local Cluster Mapping for Pandemic Preparedness.International journal of environmental research and public health · 2022
    Article
  5. Review
  6. A Cross-Sectional Study on the Flood Emergency Preparedness among Healthcare Providers in Saudi Arabia.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. 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

3 authors.

Attila J HertelendyDepartment of Information Systems and Business Analytics, College of Business, Florida International University, Miami, FL 33174, USA; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Disaster Medicine Fellowship, Boston, MA, USA.
Krzysztof GoniewiczDepartment of Aviation Security, Military University of Aviation, 08521 Dęblin, Poland. Electronic address: k.goniewicz@law.mil.pl.
Amir Khorram-ManeshInstitute of Clinical Sciences, Department of Surgery, Sahlgrenska Academy, Gothenburg University, 413 45 Gothenburg, Sweden; Department of Development and Research, Armed Forces Center for Defense Medicine, Gothenburg, 426 76, Västra Frölunda, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligencePandemicsCOVID-19Disaster PlanningDisastersHumansSARS-CoV-2

Identifiers

PMID33160803
PMCPMC7605801

What OpenQuestion holds

Textmetadata
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.