Evidence map›Paper›PMID 37738564›Full record

SynthesisClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Determining Herd Immunity Thresholds for Hepatitis A Virus Transmission to Inform Vaccination Strategies Among People Who Inject Drugs in 16 US States.

Judy Yang, Nathan C Lo, Emmanuelle A Dankwa, Christl A Donnelly, Ribhav Gupta, Martha P Montgomery, Mark K Weng, Natasha K Martin

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 5 institutions in 2 countries.

Judy YangDivision of Infectious Diseases and Global Public Health, University of California-San Diego, La Jolla, California, USA.
Nathan C LoDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Emmanuelle A DankwaCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Christl A DonnellyDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Ribhav GuptaDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Martha P MontgomeryDivision of Viral Hepatitis, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Mark K WengDivision of Viral Hepatitis, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Natasha K MartinDivision of Infectious Diseases and Global Public Health, University of California-San Diego, La Jolla, California, USA.
Centers for Disease Control and Prevention · USStanford University · USUniversity of California, San Diego · USCenter for Disease Dynamics, Economics & Policy · USImperial College London · GB

Funding

Real-time predictive modeling for public health departments to control infectious diseasesDP2AI170485 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nathan Lo · 2022 to 2026
$2.3M
NIAID NIH HHS DP2 AI170485NIAID NIH HHS L30 AI171975
6 · The paper itself

Abstract

backgroundWidespread outbreaks of person-to-person transmitted hepatitis A virus (HAV), particularly among people who inject drugs (PWID), continue across the United States and globally. However, the herd immunity threshold and vaccination coverage required to prevent outbreaks are unknown. We used surveillance data and dynamic modeling to estimate herd immunity thresholds among PWID in 16 US states.

methodsWe used a previously published dynamic model of HAV transmission calibrated to surveillance data from outbreaks involving PWID in 16 states. Using state-level calibrated models, we estimated the basic reproduction number (R0) and herd immunity threshold for PWID in each state. We performed a meta-analysis of herd immunity thresholds to determine the critical vaccination coverage required to prevent most HAV outbreaks among PWID.

resultsEstimates of R0 for HAV infection ranged from 2.2 (95% confidence interval [CI], 1.9-2.5) for North Carolina to 5.0 (95% CI, 4.5-5.6) for West Virginia. Corresponding herd immunity thresholds ranged from 55% (95% CI, 47%-61%) for North Carolina to 80% (95% CI, 78%-82%) for West Virginia. Based on the meta-analysis, we estimated a pooled herd immunity threshold of 64% (95% CI, 61%-68%; 90% prediction interval, 52%-76%) among PWID. Using the prediction interval upper bound (76%) and assuming 95% vaccine efficacy, we estimated that vaccination coverage of 80% could prevent most HAV outbreaks.

conclusionsHepatitis A vaccination programs in the United States may need to achieve vaccination coverage of at least 80% among PWID in order to prevent most HAV outbreaks among this population.

Indexed as

Drug UsersHepatitis A virusSubstance Abuse, IntravenousHumansImmunity, HerdUnited StatesVaccinationcritical vaccination coveragedynamic modelinghepatitis Aherd immunitypeople who inject drugs

Identifiers

PMID37738564
PMCPMC11006109
OpenAlexW4386949712

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.