Evidence map›Paper›PMID 33963579›Full record

ArticleStatistics in medicine2021

AIDS and COVID: A tale of two pandemics and the role of statisticians.

Susan S Ellenberg, Jeffrey S Morris

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. STATISTICAL MODELS FOR COVID-19 INCIDENCE, CUMULATIVE PREVALENCE, ANDJournal of the American Statistical Association · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Susan S EllenbergDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-2364-5253
Jeffrey S MorrisDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI DAVID S METZGER · 1999 to 2026
$78.6M
National Institute of Allergy and Infectious Diseases P30-AI045008NCATS NIH HHS UL1 TR001878NIAID NIH HHS P30 AI045008
6 · The paper itself

Abstract

The world has experienced three global pandemics over the last half-century: HIV/AIDS, H1N1, and COVID-19. HIV/AIDS and COVID-19 are still with us and have wrought extensive havoc worldwide. There are many differences between these two infections and their global impacts, but one thing they have in common is the mobilization of scientific resources to both understand the infection and develop ways to combat it. As was the case with HIV, statisticians have been in the forefront of scientists working to understand transmission dynamics and the natural history of infection, determine prognostic factors for severe disease, and develop optimal study designs to assess therapeutics and vaccines.

Indexed as

Acquired Immunodeficiency SyndromeCOVID-19Influenza A Virus, H1N1 SubtypeHumansPandemicsSARS-CoV-2AIDSCOVID-19diagnostic testinginfectious disease modelingpandemic

Identifiers

PMID33963579
PMCPMC8206852

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.