Evidence map›Paper›PMID 26327324›Full record

ArticlePloS one2015

Serotype-Specific Transmission and Waning Immunity of Endemic Foot-and-Mouth Disease Virus in Cameroon.

Laura W Pomeroy, Ottar N Bjørnstad, Hyeyoung Kim, Simon Dickmu Jumbo, Souley Abdoulkadiri, Rebecca Garabed

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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.

Laura W PomeroyDepartment of Veterinary Preventive Medicine, Ohio State University, Columbus, OH, United States of America.
Ottar N BjørnstadDepartment of Biology, Pennsylvania State University, University Park, PA, United States of America; Department of Entomology, Pennsylvania State University, University Park, PA, United States of America; Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania, United States of America; Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.
Hyeyoung KimDepartment of Geography, Ohio State University, Columbus, OH, United States of America.
Simon Dickmu JumboLaboratoire National Veterinaire, Lanavet, Garoua, Cameroon.
Souley AbdoulkadiriLaboratoire National Veterinaire, Lanavet, Garoua, Cameroon.
Rebecca GarabedDepartment of Veterinary Preventive Medicine, Ohio State University, Columbus, OH, United States of America; Public Health Preparedness for Infectious Disease Program, The Ohio State University, Columbus, OH, United States of America.

Funding

Statistics and Survey Methods CoreR24HD058484 · NICHD · OHIO STATE UNIVERSITY · PI QIAN, ZHENCHAO · 2009 to 2013
$2.1M
NICHD NIH HHS R24 HD058484NICHD NIH HHS R24-HD058484
6 · The paper itself

Abstract

Foot-and-mouth disease virus (FMDV) causes morbidity and mortality in a range of animals and threatens local economies by acting as a barrier to international trade. The outbreak in the United Kingdom in 2001 that cost billions to control highlighted the risk that the pathogen poses to agriculture. In response, several mathematical models have been developed to parameterize and predict both transmission dynamics and optimal disease control. However, a lack of understanding of the multi-strain etiology prevents characterization of multi-strain dynamics. Here, we use data from FMDV serology in an endemic setting to probe strain-specific transmission and immunodynamics. Five serotypes of FMDV affect cattle in the Far North Region of Cameroon. We fit both catalytic and reverse catalytic models to serological data to estimate the force of infection and the rate of waning immunity, and to detect periods of sustained transmission. For serotypes SAT2, SAT3, and type A, a model assuming life-long immunity fit better. For serotypes SAT1 and type O, the better-fit model suggests that immunity may wane over time. Our analysis further indicates that type O has the greatest force of infection and the longest duration of immunity. Estimates for the force of infection were time-varying and indicated that serotypes SAT1 and O displayed endemic dynamics, serotype A displayed epidemic dynamics, and SAT2 and SAT3 did not sustain local chains of transmission. Since these results were obtained from the same population at the same time, they highlight important differences in transmission specific to each serotype. They also show that immunity wanes at rates specific to each serotype, which influences patterns of local persistence. Overall, this work shows that viral serotypes can differ significantly in their epidemiological and immunological characteristics. Patterns and processes that drive transmission in endemic settings must consider complex viral dynamics for accurate representation and interpretation.

Indexed as

SerogroupAnimal HusbandryAnimalsCameroonCattleCattle DiseasesEpidemicsFoot-and-Mouth DiseaseFoot-and-Mouth Disease VirusModels, Statistical

Identifiers

PMID26327324
PMCPMC4556668

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.