Evidence map›Paper›PMID 31463536›Full record

ArticleCurrent topics in microbiology and immunology2019

Characteristics of Microbes Most Likely to Cause Pandemics and Global Catastrophes.

Amesh A Adalja, Matthew Watson, Eric S Toner, Anita Cicero, Thomas V Inglesby

Abstract read
In one paragraph

Article in Current topics in microbiology and immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Viral Families With Pandemic Potential.Open forum infectious diseases · 2025
    Article
  3. Review
  4. Article
  5. Trimming tiers - Motivations and means for de-risking select agents.Frontiers in bioengineering and biotechnology · 2025
    Article
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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.

Amesh A AdaljaJohns Hopkins Center for Health Security, 621 E. Pratt Street Suite 201, Baltimore, MD, 21202, USA. aadalja1@jhu.edu.
Matthew WatsonJohns Hopkins Center for Health Security, 621 E. Pratt Street Suite 201, Baltimore, MD, 21202, USA.
Eric S TonerJohns Hopkins Center for Health Security, 621 E. Pratt Street Suite 201, Baltimore, MD, 21202, USA.
Anita CiceroJohns Hopkins Center for Health Security, 621 E. Pratt Street Suite 201, Baltimore, MD, 21202, USA.
Thomas V InglesbyJohns Hopkins Center for Health Security, 621 E. Pratt Street Suite 201, Baltimore, MD, 21202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting which pathogen will confer the highest global catastrophic biological risk (GCBR) of a pandemic is a difficult task. Many approaches are retrospective and premised on prior pandemics; however, such an approach may fail to appreciate novel threats that do not have exact historical precedent. In this paper, based on a study and project we undertook, a new paradigm for pandemic preparedness is presented. This paradigm seeks to root pandemic risk in actual attributes possessed by specific classes of microbial organisms and leads to specific recommendations to augment preparedness activities.

Indexed as

Epidemiological MonitoringMicrobiologyPandemicsDisaster PlanningHumansRisk Assessment

Identifiers

PMID31463536
PMCPMC7122301

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.