Evidence map›Paper›PMID 23977089›Full record

ArticlePloS one2013

Rotavirus seasonality and age effects in a birth cohort study of southern India.

Rajiv Sarkar, Gagandeep Kang, Elena N Naumova

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. How Seasonality of Malnutrition Is Measured and Analyzed.International journal of environmental research and public health · 2021
    Review
  8. Effects of Data Aggregation on Time Series Analysis of Seasonal Infections.International journal of environmental research and public health · 2020
    Article
  9. Assessing Seasonality Variation with Harmonic Regression: Accommodations for Sharp Peaks.International journal of environmental research and public health · 2020
    Article
  10. Article
  11. Rotavirus Seasonality: An Application of Singular Spectrum Analysis and Polyharmonic Modeling.International journal of environmental research and public health · 2019
    Article
  12. Article
  13. Seasonality of Rotavirus Hospitalizations at Costa Rica's National Children's Hospital in 2010-2015.International journal of environmental research and public health · 2019
    Article
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  15. Article
  16. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors.

Rajiv SarkarDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, TN, India.
Gagandeep Kang
Elena N Naumova

Funding

Multi-disciplinary research training in enteric infectionsD43TW007392 · FIC · CHRISTIAN MEDICAL COLLEGE · PI KANG, GAGANDEEP · 2005 to 2020
$2.9M
Transmission dynamics of cryptosporidial infections in IndiaR01AI075452 · NIAID · CHRISTIAN MEDICAL COLLEGE · PI KANG, GAGANDEEP · 2008 to 2011
$330k
FIC NIH HHS D43 TW007392FIC NIH HHS D43TW007392NIAID NIH HHS R01 AI075452PHS HHS R01 A1075452Wellcome TrustWellcome Trust 063144
6 · The paper itself

Abstract

introductionUnderstanding the temporal patterns in disease occurrence is valuable for formulating effective disease preventive programs. Cohort studies present a unique opportunity to explore complex interactions associated with emergence of seasonal patterns of infectious diseases.

methodsWe used data from 452 children participating in a birth cohort study to assess the seasonal patterns of rotavirus diarrhea by creating a weekly time series of rotavirus incidence and fitting a Poisson harmonic regression with biannual peaks. Age and cohort effects were adjusted for by including the weekly counts of number of children in the study and the median age of cohort in a given week. Weekly average temperature, humidity and an interaction term to reflect the joint effect of temperature and humidity were included to consider the effects of meteorological variables.

resultsIn the overall rotavirus time series, two significant peaks within a single year were observed--one in winter and the other in summer. The effect of age was found to be the most significant contributor for rotavirus incidence, showing a strong negative association. Seasonality remained a significant factor, even after adjusting for meteorological parameters, and the age and cohort effects.

conclusionsThe methodology for assessing seasonality in cohort studies is not yet developed. This is the first attempt to explore seasonal patterns in a cohort study with a dynamic denominator and rapidly changing immune response on individual and group levels, and provides a highly promising approach for a better understanding of the seasonal patterns of infectious diseases, tracking emergence of pathogenic strains and evaluating the efficacy of intervention programs.

Indexed as

ParturitionAge FactorsBangladeshChildCohort StudiesDiarrheaFollow-Up StudiesGenotypeHumansIncidenceIndiaRegression AnalysisRotavirusRotavirus InfectionsSeasons

Identifiers

PMID23977089
PMCPMC3745434

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.