Evidence map›Paper›PMID 29534766›Full record

ArticleEpidemiology and infection2018

Seasonality and within-subject clustering of rotavirus infections in an eight-site birth cohort study.

J M Colston, A M S Ahmed, S B Soofi, E Svensen, R Haque, J Shrestha, R Nshama, Z Bhutta, I F N Lima, A Samie and 11 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Etiology and Incidence of Moderate-to-Severe Diarrhea in Young Children in Niger.Journal of the Pediatric Infectious Diseases Society · 2021
    Trial
  4. Review
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  13. Rotavirus Seasonality: An Application of Singular Spectrum Analysis and Polyharmonic Modeling.International journal of environmental research and public health · 2019
    Article
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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

21 authors.

J M ColstonJohns Hopkins Bloomberg School of Public Health,Baltimore, Maryland,USA.ORCID 0000-0003-4567-5813
A M S AhmedMenzies School of Health Research,Casuarina,Australia.
S B SoofiDepartment of Pediatrics and Child Health,Aga Khan University,Karachi,Pakistan.
E SvensenDepartment of Global Public Health and Primary Care,University of Bergen,Bergen,Norway.
R Haqueicddr,b, Centre for Nutrition and Food Security,Dhaka,Bangladesh.
J ShresthaWalter Reed/AFRIMS Research Unit Nepal,Kathmandu,Nepal.
R NshamaHaydom Global Health Institute,Haydom,Tanzania.
Z BhuttaDepartment of Pediatrics and Child Health,Aga Khan University,Karachi,Pakistan.
I F N LimaUniversidade Federal do Ceara,Fortaleza, Ceara,Brazil.
A SamieUniversity of Venda,Thohoyandou, Limpopo,South Africa.
L BodhidattaArmed Forces Research Institute of Medical Sciences (AFRIMS),Enteric Diseases, Bangkok,Thailand.
A A M LimaUniversidade Federal do Ceara,Fortaleza, Ceara,Brazil.
P BessongUniversity of Venda,Thohoyandou, Limpopo,South Africa.
M Paredes OlorteguiAsociación Benéfica Prisma,Unidad de Investigaciones Biomédicas,Iquitos,Peru.
A TurabInteractive Research and Development,Maternal and Child Health Program,Karachi,Pakistan.
V R MohanChristian Medical College,Vellore,India.
L H MoultonJohns Hopkins Bloomberg School of Public Health,Baltimore, Maryland,USA.
E N NaumovaFriedman School of Nutrition Science & Policy,Tufts University,Boston, Massachusetts,USA.
G KangChristian Medical College,Vellore,India.
M N KosekJohns Hopkins Bloomberg School of Public Health,Baltimore, Maryland,USA.
Mal-Ed network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving understanding of the pathogen-specific seasonality of enteric infections is critical to informing policy on the timing of preventive measures and to forecast trends in the burden of diarrhoeal disease. Data obtained from active surveillance of cohorts can capture the underlying infection status as transmission occurs in the community. The purpose of this study was to characterise rotavirus seasonality in eight different locations while adjusting for age, calendar time and within-subject clustering of episodes by applying an adapted Serfling model approach to data from a multi-site cohort study. In the Bangladesh and Peru sites, within-subject clustering was high, with more than half of infants who experienced one rotavirus infection going on to experience a second and more than 20% experiencing a third. In the five sites that are in countries that had not introduced the rotavirus vaccine, the model predicted a primary peak in prevalence during the dry season and, in three of these, a secondary peak during the rainy season. The patterns predicted by this approach are broadly congruent with several emerging hypotheses about rotavirus transmission and are consistent for both symptomatic and asymptomatic rotavirus episodes. These findings have practical implications for programme design, but caution should be exercised in deriving inferences about the underlying pathways driving these trends, particularly when extending the approach to other pathogens.

Indexed as

Cluster AnalysisDisease Transmission, InfectiousSeasonsAfricaAsiaChild, PreschoolCohort StudiesHumansInfantInfant, NewbornPrevalenceRotavirus InfectionsSouth AmericaCohort studydiarrhoeapediatric infectionsrotavirusseasonality

Identifiers

PMID29534766
PMCPMC9134355

What OpenQuestion holds

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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.