Evidence map›Paper›PMID 41198093›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2026

Characteristics of HIV Time-Space Alerts in the United States, 2018-2021.

Camden J Hallmark, Anne Marie France, Laurie Linley, Sheryl B Lyss, Mary Plaster, Olivia O Russell, Agha Ajmal, Nivedha Panneer, Rashida Hassan, Alexandra M Oster

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Camden J HallmarkDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.ORCID 0000-0001-6907-5658
Anne Marie FranceDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Laurie LinleyDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Sheryl B LyssDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Mary PlasterDLH Corporation, Inc., Atlanta, GA.
Olivia O RussellDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Agha AjmalDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Nivedha PanneerDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Rashida HassanDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.
Alexandra M OsterDetection and Response Branch, Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), Centers for Disease Control and Prevention, Atlanta, GA; and.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundHIV time-space cluster detection is routinely conducted by the Centers for Disease Control and Prevention and health departments to identify counties with elevated diagnoses compared with historical levels. These analyses, originally applied to all diagnoses and persons who inject drugs (PWID), generate "alerts" for review that may indicate clusters or outbreaks. The reoccurrence of alerts has not been previously described nationally.

settingFifty US states and the District of Columbia.

methodsQuarterly, during 2018-2021, the number of HIV infections diagnosed during the preceding 12 months among each group of interest [all people ("overall alerts"), PWID, men who have sex with men (MSM), or MSM who inject drugs] was compared with the annual mean for that group from the preceding 36 months. An alert was generated if the number of diagnoses was >2 SDs and >2 diagnoses above the baseline mean. For counties with initial alerts during 2018-2019, reoccurrences of alerts during any of the following 8 quarters were assessed.

resultsDuring 2018-2021, compared with counties with alerts among PWID (n = 154), 5 times as many counties had overall alerts (n = 824) and approximately 3 times as many counties had alerts among MSM (n = 445). Reoccurrences of alerts in ≥2 subsequent quarters were lowest among MSM and MSM who inject drugs (10% and 19% of counties respectively).

conclusionsApplying time-space cluster detection criteria to populations beyond PWID results in numerous alerts nationally, many of which represent transient increases. Additional work to refine time-space cluster detection criteria, or to prioritize additional follow-up or investigation, is necessary.

Indexed as

Disease OutbreaksHIV InfectionsFemaleHomosexuality, MaleHumansMaleSexual and Gender MinoritiesSubstance Abuse, IntravenousUnited Statescluster detection and responseHIVoutbreak detectionspatiotemporalsurveillancetime-space

Identifiers

PMID41198093
PMCPMC13573663

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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.