Evidence map›Paper›PMID 25936682›Full record

Observational studyEpidemiology and infection2015

The contribution of neighbours to an individual's risk of typhoid outcome.

D L Chao, J K Park, F Marks, R L Ochiai, I M Longini, M E Halloran

Abstract readObservational Study
In one paragraph

Observational study in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Risk Factors for Typhoid Fever: Systematic Review.JMIR public health and surveillance · 2025
    Pooled it
  2. Mathematical Modeling of Endemic Cholera Transmission.The Journal of infectious diseases · 2021
    Article
  3. Article
  4. Review
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.

D L ChaoVaccine and Infectious Disease Division,Fred Hutchinson Cancer Research Center,Seattle,Washington,USA.
J K ParkThe International Vaccine Institute,Seoul,South Korea.
F MarksThe International Vaccine Institute,Seoul,South Korea.
R L OchiaiThe International Vaccine Institute,Seoul,South Korea.
I M LonginiDepartment of Biostatistics,College of Public Health and Health Professions, andEmerging Pathogens Institute,University of Florida,Gainesville,FL,USA.
M E HalloranVaccine and Infectious Disease Division,Fred Hutchinson Cancer Research Center,Seattle,Washington,USA.

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPMAN, JAMES STEPHEN · 2014 to 2018
$12.5M
Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
NIAID NIH HHS R37 AI032042NIAID NIH HHS R37-AI032042NIGMS NIH HHS U54 GM111274NIGMS NIH HHS U54-GM111274
6 · The paper itself

Abstract

An individual's risk of infection from an infectious agent can depend on both the individual's own risk and protective factors and those of individuals in the same community. We hypothesize that an individual's exposure to an infectious agent is associated with the risks of infection of those living nearby, whether their risks are modified by pharmaceutical interventions or by other factors, because of the potential for transmission from them. For example, unvaccinated individuals living in a highly vaccinated community can benefit from indirect protection, or living near more children in a typhoid-endemic region (where children are at highest risk) might result in more exposure to typhoid. We tested this hypothesis using data from a cluster-randomized typhoid vaccine trial. We first estimated each individual's relative risk of confirmed typhoid outcome using their vaccination status and age. We defined a new covariate, potential exposure, to be the sum of the relative risks of all who live within 100 m of each person. We found that potential exposure was significantly associated with an individual's typhoid outcome, and adjusting for potential exposure affected estimates of vaccine efficacy. We suggest that it is useful and feasible to adjust for spatially heterogeneous distributions of individual-level risk factors, but further work is required to develop and test such approaches.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolEpidemiologic MethodsFemaleGeographyHumansMaleMiddle AgedRandom AllocationRisk AssessmentTreatment OutcomeTyphoid FeverTyphoid-Paratyphoid VaccinesSalmonella (Typhi)typhoid fever (S. Typhi)vaccination (immunization)

Identifiers

PMID25936682
PMCPMC4619120

What OpenQuestion holds

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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.