Evidence map›Paper›PMID 31002076›Full record

ArticleEmerging infectious diseases2019

Novel Method for Rapid Detection of Spatiotemporal HIV Clusters Potentially Warranting Intervention.

Arthur G Fitzmaurice, Laurie Linley, Chenhua Zhang, Meg Watson, Anne Marie France, Alexandra M Oster

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Characteristics of HIV Time-Space Alerts in the United States, 2018-2021.Journal of acquired immune deficiency syndromes (1999) · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

6 authors.

Arthur G Fitzmaurice
Laurie Linley
Chenhua Zhang
Meg Watson
Anne Marie France
Alexandra M Oster

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of increases in HIV transmission enables targeted outbreak response efforts to reduce the number of new infections. We analyzed US HIV surveillance data and identified spatiotemporal clusters of diagnoses. This systematic method can help target timely investigations and preventive interventions for maximum public health benefit.

Indexed as

Cluster AnalysisDisease OutbreaksHIV InfectionsHumansSpatio-Temporal AnalysisTime FactorsUnited StatesHIVHIV/AIDSHIV diagnosisoutbreak detectionspace–timespatiotemporal clustersurveillance systemviruses

Identifiers

PMID31002076
PMCPMC6478209

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.