Evidence map›Paper›PMID 34253834›Full record

ArticleJournal of exposure science & environmental epidemiology2022

Dose distribution to a random walker moving in a two-dimensional surface around a radioactive source.

Praveen Kumar, S Anand, Kapil Deo Singh, M S Kulkarni, Y S Mayya

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Praveen KumarHealth Physics Division, Bhabha Atomic Research Centre, Mumbai, India.
S AnandHealth Physics Division, Bhabha Atomic Research Centre, Mumbai, India. sanand@barc.gov.in.ORCID http://orcid.org/0000-0003-2003-9634
Kapil Deo SinghHealth Physics Division, Bhabha Atomic Research Centre, Mumbai, India.
M S KulkarniHealth Physics Division, Bhabha Atomic Research Centre, Mumbai, India.
Y S MayyaDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModeling of dose distribution of randomly moving population around a radioactive source is a complex problem.

objectiveThe objective is to develop a model and solution techniques to estimate radiation absorbed dose to the population randomly moving around a radioactive source.

methodsThe problem is formulated using a second-order partial differential equation; different moments of the dose distribution function are defined related to physically realizable quantities, and solutions are obtained using standard moments methods. Alternatively, numerical simulations are performed to estimate the radiation doses using Monte Carlo approach for individual positions and random motions of the people around the source.

resultsA good agreement is found between average doses obtained from moments method and numerical simulations. A typical application of this model to different exposure conditions shows that the average dose is highly dependent on the population density. The study results show that average dose decreases with increase in the population density and movement area of random walker. SIGNIFICANCE: This mathematical model can be used as a rapid assessment tool by the emergency planners in resource optimization by providing quick estimates of likely exposures for triage and emergency response.

Indexed as

Models, TheoreticalHumansMonte Carlo MethodRadiation DosageAnalytical methodsExposure modelingPersonal exposureRadiation

Identifiers

What OpenQuestion holds

Textmetadata
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.