Evidence map›Paper›PMID 27748685›Full record

ReviewEpidemiology (Cambridge, Mass.)2017

Temporally Varying Relative Risks for Infectious Diseases: Implications for Infectious Disease Control.

Edward Goldstein, Virginia E Pitzer, Justin J O'Hagan, Marc Lipsitch

Open access · greenAbstract readReview
In one paragraph

Review in Epidemiology (Cambridge, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Birth Cohort Studies Assessing Norovirus Infection and Immunity in Young Children: A Review.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Pooled it
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  11. Waning of Measured Influenza Vaccine Effectiveness Over Time: The Potential Contribution of Leaky Vaccine Effect.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
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  17. Transmissibility of influenza during the 21st-century epidemics, Spain, influenza seasons 2001/02 to 2017/18.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
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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

4 authors at 3 institutions in 1 country.

Edward GoldsteinFrom the aDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, Boston, MA; bLaboratory of Epidemiology and Public Health, Yale School of Public Health, New Haven, CT; cNational Center for Immunization and Respiratory Diseases (NCIRD)), Centers for Disease Control and Prevention, Atlanta, GA; and dDepartment of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, MA.
Virginia E Pitzer
Justin J O'Hagan
Marc Lipsitch
Center for Disease Dynamics, Economics & Policy · USCenters for Disease Control and Prevention · USYale University · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Epidemiology and modeling of the population dynamics of influenza and antimicrobiK01AI101010 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GOLDSTEIN, EDWARD · 2012 to 2014
$379k
NIAID NIH HHS K01 AI101010NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Risks for disease in some population groups relative to others (relative risks) are usually considered to be consistent over time, although they are often modified by other, nontemporal factors. For infectious diseases, in which overall incidence often varies substantially over time, the patterns of temporal changes in relative risks can inform our understanding of basic epidemiologic questions. For example, recent studies suggest that temporal changes in relative risks of infection over the course of an epidemic cycle can both be used to identify population groups that drive infectious disease outbreaks, and help elucidate differences in the effect of vaccination against infection (that is relevant to transmission control) compared with its effect against disease episodes (that reflects individual protection). Patterns of change in the age groups affected over the course of seasonal outbreaks can provide clues to the types of pathogens that could be responsible for diseases for which an infectious cause is suspected. Changing apparent efficacy of vaccines during trials may provide clues to the vaccine's mode of action and/or indicate risk heterogeneity in the trial population. Declining importance of unusual behavioral risk factors may be a signal of increased local transmission of an infection. We review these developments and the related public health implications.

Indexed as

Communicable Disease ControlDisease OutbreaksHumansInfection ControlInfectionsInfluenza, HumanInfluenza VaccinesPertussis VaccineProtective FactorsRisk FactorsSeasonsTime FactorsWhooping CoughInfluenza VaccinesPertussis Vaccine

Identifiers

PMID27748685
PMCPMC5131868
OpenAlexW2524589976

What OpenQuestion holds

Textmetadata
LicenceTDM
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.