Evidence map›Paper›PMID 28892481›Full record

ArticlePLoS computational biology2017

Cost-efficient vaccination protocols for network epidemiology.

Petter Holme, Nelly Litvak

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 63 citations in OpenAlex.

  1. Moana: Alternate surveillance for COVID-19 in a Unique Population (MASC-UP).Contemporary clinical trials communications · 2024
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  6. The role of connectivity on COVID-19 preventive approaches.medRxiv : the preprint server for health sciences · 2021
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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

2 authors at 2 institutions in 2 countries.

Petter HolmeInstitute of Innovative Research, Tokyo Institute of Technology, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2156-1096
Nelly LitvakDepartment of Applied Mathematics, University of Twente, Enschede, Netherlands.ORCID http://orcid.org/0000-0002-6750-3484
Tokyo Institute of Technology · JPUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate methods to vaccinate contact networks-i.e. removing nodes in such a way that disease spreading is hindered as much as possible-with respect to their cost-efficiency. Any real implementation of such protocols would come with costs related both to the vaccination itself, and gathering of information about the network. Disregarding this, we argue, would lead to erroneous evaluation of vaccination protocols. We use the susceptible-infected-recovered model-the generic model for diseases making patients immune upon recovery-as our disease-spreading scenario, and analyze outbreaks on both empirical and model networks. For different relative costs, different protocols dominate. For high vaccination costs and low costs of gathering information, the so-called acquaintance vaccination is the most cost efficient. For other parameter values, protocols designed for query-efficient identification of the network's largest degrees are most efficient.

Indexed as

VaccinationCommunicable Disease ControlCommunicable DiseasesComputational BiologyComputer SimulationCosts and Cost AnalysisHumans

Identifiers

PMID28892481
PMCPMC5608431
OpenAlexW2565648610

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.