Evidence map›Paper›PMID 36254289›Full record

ArticleHeliyon2022

Assessment of rotavirus and norovirus emitted from water spray park: QMRA, diseases burden and sensitivity analysis.

Hasan Pasalari, Hesam Akbari, Angila Ataei-Pirkooh, Amir Adibzadeh, Hamed Akbari

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Hasan PasalariHealth Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Hesam AkbariHealth Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Angila Ataei-PirkoohDepartment of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Amir AdibzadehHealth Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Hamed AkbariHealth Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Baqiyatallah University of Medical Sciences · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A quantitative model on exposure to pathogenic viruses in air of recreational area and their corresponding health effects is necessary to provide mitigation actions in content of emergency response plans (ERP). Here, the health risk associated with exposure to two pathogenic viruses of concern: Rotavirus (RoV) and Norovirus (NoV) in air of water spray park were estimated using a quantitative microbial risk assessment (QMRA) model. To this end, real-time Reverse Transcriptase polymerase chain reaction (real-time RT-PCR) was employed to measure the concentration levels of RoV and NoV over a twelve-month period. The probability of infection, illness and diseases burden of gastrointestinal illness (GI) caused by RoV and NoV for both workers and visitors were estimated using QMRA and Monto-Carlo simulation technique. The annual mean concentration for RoV and NoV in sampling air of water spray park were 20and 1754, respectively. The %95 confidence interval (CI) calculated annual DALY indicator for RoV (Workers: 2.62 × 10

Indexed as

Disability adjusted life years (DALY)Enteric virusesGastrointestinal illnessQMRAWater spray park

Identifiers

PMID36254289
PMCPMC9568861
OpenAlexW4303617238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.