Evidence map›Paper›PMID 29017491›Full record

ArticleBMC medicine2017

Spatial model for risk prediction and sub-national prioritization to aid poliovirus eradication in Pakistan.

Laina D Mercer, Rana M Safdar, Jamal Ahmed, Abdirahman Mahamud, M Muzaffar Khan, Sue Gerber, Aiden O'Leary, Mike Ryan, Frank Salet, Steve J Kroiss and 3 more

Abstract readEvaluation Study
In one paragraph

Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Spatial and Genomic Data to Characterize Endemic Typhoid Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  3. Article
  4. Disease Surveillance Investments and Administration: Limits to Information Value in Pakistan Polio Eradication.Risk analysis : an official publication of the Society for Risk Analysis · 2021
    Article
  5. Review
  6. Article
  7. Model selection for hybrid dynamical systems via sparse regression.Proceedings. Mathematical, physical, and engineering sciences · 2019
    Article
  8. Evaluation of Proactive and Reactive Strategies for Polio Eradication Activities in Pakistan and Afghanistan.Risk analysis : an official publication of the Society for Risk Analysis · 2019
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Laina D MercerInstitute for Disease Modeling, 3150 138th Ave SE, Bellevue, WA, 98005, USA. lmercer@idmod.org.ORCID 0000-0002-2517-8900
Rana M SafdarNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
Jamal AhmedNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
Abdirahman MahamudNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
M Muzaffar KhanNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
Sue GerberBill and Melinda Gates Foundation, Seattle, WA, USA.
Aiden O'LearyNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
Mike RyanNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
Frank SaletNational Emergency Operations Centre for Polio Eradication, Islamabad, Pakistan.
Steve J KroissInstitute for Disease Modeling, 3150 138th Ave SE, Bellevue, WA, 98005, USA.
Hil LyonsInstitute for Disease Modeling, 3150 138th Ave SE, Bellevue, WA, 98005, USA.
Alexander Upfill-BrownDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Guillaume Chabot-CoutureInstitute for Disease Modeling, 3150 138th Ave SE, Bellevue, WA, 98005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPakistan is one of only three countries where poliovirus circulation remains endemic. For the Pakistan Polio Eradication Program, identifying high risk districts is essential to target interventions and allocate limited resources.

methodsUsing a hierarchical Bayesian framework we developed a spatial Poisson hurdle model to jointly model the probability of one or more paralytic polio cases, and the number of cases that would be detected in the event of an outbreak. Rates of underimmunization, routine immunization, and population immunity, as well as seasonality and a history of cases were used to project future risk of cases.

resultsThe expected number of cases in each district in a 6-month period was predicted using indicators from the previous 6-months and the estimated coefficients from the model. The model achieves an average of 90% predictive accuracy as measured by area under the receiver operating characteristic (ROC) curve, for the past 3 years of cases.

conclusionsThe risk of poliovirus has decreased dramatically in many of the key reservoir areas in Pakistan. The results of this model have been used to prioritize sub-national areas in Pakistan to receive additional immunization activities, additional monitoring, or other special interventions.

Indexed as

Disease EradicationModels, BiologicalModels, StatisticalPoliovirusBayes TheoremChild, PreschoolDisease OutbreaksHumansImmunization ProgramsPakistanPoliomyelitisPoliovirus VaccinesProbabilityRiskROC CurvePoliovirus VaccinesDisease mappingHurdle modelsPakistanPolio eradicationRisk mappingRisk prioritizationSpatial epidemiologySupplementary immunization activitiesVaccination campaigns

Identifiers

PMID29017491
PMCPMC5635525

What OpenQuestion holds

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LicenceCC BY
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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.