Evidence map›Paper›PMID 36958029›Full record

ReviewEmerging infectious diseases2023

Challenges in Forecasting Antimicrobial Resistance.

Sen Pei, Seth Blumberg, Jaime Cascante Vega, Tal Robin, Yue Zhang, Richard J Medford, Bijaya Adhikari, Jeffrey Shaman, CDC MIND-Healthcare Program

Full text readReview
In one paragraph

Review in Emerging infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Multifunctional metabolites of Streptomyces kunmingensis BS19 from bamboo rhizosphere soil.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Socioeconomic Disparities and the Prevalence of Antimicrobial Resistance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Challenges in Forecasting Antimicrobial Resistance.Emerging infectious diseases · 2023
    Article
  19. 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

9 authors.

Sen Pei
Seth Blumberg
Jaime Cascante Vega
Tal Robin
Yue Zhang
Richard J Medford
Bijaya Adhikari
Jeffrey Shaman
CDC MIND-Healthcare Program

Funding

NCEZID CDC HHS U01 CK000531NCEZID CDC HHS U01 CK000538NCEZID CDC HHS U01 CK000590NCEZID CDC HHS U01 CK000592NCEZID CDC HHS U01 CK000594
6 · The paper itself

Abstract

Antimicrobial resistance is a major threat to human health. Since the 2000s, computational tools for predicting infectious diseases have been greatly advanced; however, efforts to develop real-time forecasting models for antimicrobial-resistant organisms (AMROs) have been absent. In this perspective, we discuss the utility of AMRO forecasting at different scales, highlight the challenges in this field, and suggest future research priorities. We also discuss challenges in scientific understanding, access to high-quality data, model calibration, and implementation and evaluation of forecasting models. We further highlight the need to initiate research on AMRO forecasting using currently available data and resources to galvanize the research community and address initial practical questions.

Indexed as

Anti-Bacterial AgentsCommunicable DiseasesData AccuracyDrug Resistance, BacterialForecastingHumansAnti-Bacterial Agentsantimicrobial resistanceBlumberg SCascante Vega Jet al. Challenges in forecasting antimicrobial resistance. Emerg Infect Dis. 2023 Apr [date cited]. https://doi.org/10.3201/eid2904.221552healthcare-associated infectionsinfectious disease forecastingMedford RJRobin TSuggested citation for this article: Pei SZhang Y

Identifiers

PMID36958029
PMCPMC10045679

What OpenQuestion holds

Textfull text, public
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.