Evidence map›Paper›PMID 37385997›Full record

ArticleScientific reports2023

Role of immigration and emigration on the spread of COVID-19 in a multipatch environment: a case study of India.

Tanuja Das, Shraddha Ramdas Bandekar, Akhil Kumar Srivastav, Prashant K Srivastava, Mini Ghosh

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Tanuja DasDepartment of Mathematics and Statistics, University of New Brunswick, Fredericton, Canada.
Shraddha Ramdas BandekarDepartment of Integrative Biology, University of Texas at Austin, Austin, TX, USA.
Akhil Kumar SrivastavMathematical and Theoretical Biology, BCAM - Basque Center for Applied Mathematics, Bilbao, Spain.
Prashant K SrivastavaDepartment of Mathematics, Indian Institute of Technology Patna, Patna, 801103, India.
Mini GhoshDivision of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India. minighosh@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human mobility has played a critical role in the spread of COVID-19. The understanding of mobility helps in getting information on the acceleration or control of the spread of disease. The COVID-19 virus has been spreading among several locations despite all the best efforts related to its isolation. To comprehend this, a multi-patch mathematical model of COVID-19 is proposed and analysed in this work, where-in limited medical resources, quarantining, and inhibitory behaviour of healthy individuals are incorporated into the model. Furthermore, as an example, the impact of mobility in a three-patch model is studied considering the three worst-hit states of India, i.e. Kerala, Maharashtra and Tamil Nadu, as three patches. Key parameters and the basic reproduction number are estimated from the available data. Through results and analyses, it is seen that Kerala has a higher effective contact rate and has the highest prevalence. Moreover, if Kerala is isolated from Maharashtra or Tamil Nadu, the number of active cases will increase in Kerala but reduce in the other two states. Our findings indicate that the number of active cases will decrease in the high prevalence state and increase in the lower prevalence states if the emigration rate is higher than the immigration rate in the high prevalence state. Overall, proper travel restrictions are to be implemented to reduce or control the spread of disease from the high-prevalence state to other states with lower prevalence rates.

Indexed as

COVID-19LepidopteraAccelerationAnimalsEmigration and ImmigrationHumansIndiaSARS-CoV-2

Identifiers

PMID37385997
PMCPMC10310821

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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.