Evidence map›Paper›PMID 25984911›Full record

ArticlePathogens (Basel, Switzerland)2015

Global occurrence and emission of rotaviruses to surface waters.

Nicholas M Kiulia, Nynke Hofstra, Lucie C Vermeulen, Maureen A Obara, Gertjan Medema, Joan B Rose

Erratum issuedAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2015. 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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Waterborne diseases and climate change.Nature reviews. Microbiology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Detection and evaluation of rotavirus surveillance methods as viral indicator in the aquatic environments.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Molecular detection and genotyping of group A rotavirus in two wastewater treatment plants, Iran.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  16. PeerJ · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nicholas M KiuliaDepartment of Fisheries and Wildlife, Michigan State University East Lansing, MI 48824, USA. kiuliani@msu.edu.
Nynke HofstraEnvironmental Systems Analysis Group, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, The Netherlands. nynke.hofstra@wur.nl.
Lucie C VermeulenEnvironmental Systems Analysis Group, Wageningen University, P.O. Box 47, 6700 AA, Wageningen, The Netherlands. lucie.vermeulen@wur.nl.
Maureen A ObaraDepartment of Fisheries and Wildlife, Michigan State University East Lansing, MI 48824, USA. maureenobara@yahoo.com.
Gertjan MedemaFaculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA, Delft, the Netherlands. gertjan.medema@kwrwater.nl.
Joan B RoseDepartment of Fisheries and Wildlife, Michigan State University East Lansing, MI 48824, USA. rosejo@msu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Group A rotaviruses (RV) are the major cause of acute gastroenteritis in infants and young children globally. Waterborne transmission of RV and the presence of RV in water sources are of major public health importance. In this paper, we present the Global Waterborne Pathogen model for RV (GloWPa-Rota model) to estimate the global distribution of RV emissions to surface water. To our knowledge, this is the first model to do so. We review the literature to estimate three RV specific variables for the model: incidence, excretion rate and removal during wastewater treatment. We estimate total global RV emissions to be 2 × 1018 viral particles/grid/year, of which 87% is produced by the urban population. Hotspot regions with high RV emissions are urban areas in densely populated parts of the world, such as Bangladesh and Nigeria, while low emissions are found in rural areas in North Russia and the Australian desert. Even for industrialized regions with high population density and without tertiary treatment, such as the UK, substantial emissions are estimated. Modeling exercises like the one presented in this paper provide unique opportunities to further study these emissions to surface water, their sources and scenarios for improved management.

Indexed as

contaminationemissionfecesglobalmodelingrotavirussanitationsewage

Identifiers

PMID25984911
PMCPMC4493472

What OpenQuestion holds

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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.