Evidence map›Paper›PMID 33100606›Full record

ArticleChaos, solitons, and fractals2021

Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection.

Mousam Ghosh, Swarnankur Ghosh, Suman Ghosh, Goutam Kumar Panda, Pradip Kumar Saha

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

5 authors.

Mousam GhoshDepartment of Electrical Engineering, Ramkrishna Mahato Government Engineering College Purulia (Formerly Purulia Government Engineering College), Purulia, West Bengal, India.
Swarnankur GhoshDepartment of Electrical Engineering, National Institute of Technology Meghalaya, Shillong, Meghalaya, India.
Suman GhoshDepartment of Electrical Engineering, Techno Main Salt Lake, Kolkata, West Bengal, India.
Goutam Kumar PandaDepartment of Electrical Engineering, Jalpaiguri Govt. Engineering College, Jalpaiguri, West Bengal, India.
Pradip Kumar SahaDepartment of Electrical Engineering, Jalpaiguri Govt. Engineering College, Jalpaiguri, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of the widely populated countries across the globe have been observing vicious spread and detrimental effects of pandemic COVID-19 since its inception on December 19. Therefore to restrict the spreading of pandemic COVID-19, various researches are going on in both medical and administrative sectors. The focus has been given in this research keeping an administrative point of view in mind. In this paper a dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection has been proposed. Few factors related to intra zone mobilization; inter zone mobilization and rate of detection are the key points in the proposed model. Various remedial steps are taken into consideration in the form of operating procedures. Further such operating procedures are applied over the model in standalone or hybridized mode and responses are reported in this paper in a case-studies manner. Further zone-wise increase in infected population due to the spreading of pandemic COVID-19 has been studied and reported in this paper. Also the proposed model has been applied over the real world data considering three states of India and the predicted responses are compared with real data and reported with bar chart representation in this paper.

Indexed as

Infected populationInter zone mobilizationIntra zone mobilizationPandemic COVID-19Rate of detection

Identifiers

PMID33100606
PMCPMC7572091

What OpenQuestion holds

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Registered trials

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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.