Evidence map›Paper›PMID 39039818›Full record

ArticleOsong public health and research perspectives2024

Pandemics: past, present, and future: multitasking challenges in need of cross-disciplinary, transdisciplinary, and multidisciplinary collaborative solutions.

Amir Khorram-Manesh, Frederick Martin Burkle, Krzysztof Goniewicz

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Artificial Intelligence in Cardiology: Insights From a Multidisciplinary Perspective.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. 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.

Amir Khorram-ManeshDepartment of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Frederick Martin BurkleWoodrow Wilson International Center for Scholars, Washington, DC, USA.
Krzysztof GoniewiczDepartment of Security, Polish Air Force University, Dęblin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extensive history of pandemics has spanned many centuries, profoundly impacting societies, economies, and public health, and thereby shaping the course of history in various ways. Advances in medicine, science, and public health practices have played a pivotal role in mitigating the effects of pandemics over time. This review explores the scientific landscape of contemporary pandemics, examining their diverse and complex nature. It goes beyond the biological aspects of pandemics to consider socioeconomic, environmental, and technological factors. Through a scientific lens, this study aims to understand the complexities of pandemics and contribute to the expanding knowledge base that helps humanity strengthen its defenses against global health threats. By elucidating the enigmas of pandemics, the study hopes to foster a more resilient and prepared global health environment. Highlighting the importance of a multidisciplinary, cross-disciplinary, and transdisciplinary approach, this exploration emphasizes the critical need to integrate biological, socioeconomic, environmental, and technological domains to develop more robust defenses against these global health challenges.

Indexed as

CollaborationInterdisciplinaryMultiagencyPandemics

Identifiers

PMID39039818
PMCPMC11391372

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.