Evidence map›Paper›PMID 37809128›Full record

ArticleCureus2023

Predicting Future Pandemics and Formulating Prevention Strategies: The Role of ChatGPT.

Pradip K Jana, Agniva Majumdar, Shanta Dutta

Abstract readEditorial
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Improving the ONE HEALTH approach: a lesson from SARS-CoV-2 pandemic.Journal of preventive medicine and hygiene · 2024
    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.

Pradip K JanaRegional Virus Research and Diagnostic Laboratory, Indian Council of Medical Research, National Institute of Cholera and Enteric Diseases, Kolkata, IND.
Agniva MajumdarRegional Virus Research and Diagnostic Laboratory, Indian Council of Medical Research, National Institute of Cholera and Enteric Diseases, Kolkata, IND.
Shanta DuttaBacteriology, Indian Council of Medical Research, National Institute of Cholera and Enteric Diseases, Kolkata, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in late 2019 and its subsequent worldwide spread has emphasized the urgent need for better approaches for predicting and managing infectious disease outbreaks. One potential instrument in this effort is artificial intelligence (AI), and in specific, language models like ChatGPT (Chat Generative Pre-trained Transformer). In the present study, to explore how ChatGPT could predict future pandemics and give suggestions about the prevention strategy, our research team chatted with ChatGPT with several questions on July 12, 2023. Based on our conversation, we can conclude that AI is not a substitute for human expertise, but an adjunct to support early prediction, prevention, and management of future pandemics.

Indexed as

ai & robotics in healthcareartificial intelligencechatbotchatgptmachine learningoutbreakpandemic

Identifiers

PMID37809128
PMCPMC10559259

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.