Evidence map›Paper›PMID 30184162›Full record

ArticleThe Journal of infectious diseases2018

Integrating Facility-Based Surveillance With Healthcare Utilization Surveys to Estimate Enteric Fever Incidence: Methods and Challenges.

Jason R Andrews, Caitlin Barkume, Alexander T Yu, Samir K Saha, Farah N Qamar, Denise Garrett, Stephen P Luby

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Programmatic Effectiveness of a Pediatric Typhoid Conjugate Vaccine Campaign in Navi Mumbai, India.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Trial
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  9. Non-typhoidalJAC-antimicrobial resistance · 2024
    Review
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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

7 authors at 4 institutions in 3 countries.

Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University, California.
Caitlin BarkumeTyphoid Programs, Sabin Vaccine Institute, Washington, District of Columbia.
Alexander T YuDivision of Infectious Diseases and Geographic Medicine, Stanford University, California.
Samir K SahaChild Health Research Foundation, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Farah N QamarDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Denise GarrettTyphoid Programs, Sabin Vaccine Institute, Washington, District of Columbia.
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University, California.
Stanford University · USSabin Vaccine Institute · USAga Khan University · PKDhaka Shishu Hospital · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cohort studies and facility-based sentinel surveillance are common approaches to characterizing infectious disease burden, but present trade-offs; cohort studies are resource-intensive and may alter disease natural history, while sentinel surveillance underestimates incidence in the population. Hybrid surveillance, whereby facility-based surveillance is paired with a community-based healthcare utilization assessment, represents an alternative approach to generating population-based disease incidence estimates with moderate resource investments. Here, we discuss this method in the context of the Surveillance for Enteric Fever in Asia Project (SEAP) study. We describe how data are collected and utilized to adjust enteric fever incidence for blood culture sensitivity, facility-based enrollment, and healthcare seeking, incorporating uncertainty in these parameters in the uncertainty around incidence estimates. We illustrate how selection of surveillance sites and their coverage may influence precision and bias, and we identify approaches in the study design and analysis to minimize and control for these biases. Rigorously designed hybrid surveillance systems can be an efficient approach to generating population-based incidence estimates for infectious diseases.

Indexed as

Health FacilitiesPatient Acceptance of Health CareCohort StudiesHumansIncidencePopulation SurveillanceTyphoid Fever

Identifiers

PMID30184162
PMCPMC6226762
OpenAlexW2891974249

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.