Evidence map›Paper›PMID 38660034›Full record

ReviewMethodsX2024

Forecasting of Indian tourism industry using modeling approach.

Renuka Devi, Alok Agrawal, Joydip Dhar, A K Misra

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in MethodsX, 2024. 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

4 authors.

Renuka DeviAmity School of Applied Sciences, Amity University Uttar Pradesh, Lucknow Campus, Lucknow 226 028, India.
Alok AgrawalAmity School of Applied Sciences, Amity University Uttar Pradesh, Lucknow Campus, Lucknow 226 028, India.
Joydip DharDepartment of Applied Sciences, ABV-Indian Institute of Information Technology and Management, Gwalior 474 015, India.
A K MisraDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi 221 005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, India has become one of the largest economies of the world in which tourism and hospitality have significantly contributed; however, the growth rate of tourism industry has been greatly affected during the COVID-19 pandemic. In this study, we have used the modeling approach to analyze and understand the growth pattern of Indian tourism industry. To achieve this, we consider the data of international tourist arrivals before and after the lockdown. The Dickey-Fuller test, AIC and BIC methods are used to obtain the best fitted model and further, the accuracy of obtained model is also analyzed. Data and forecasting indicate that the weather and public holidays significantly affect the tourism industry.

Indexed as

Autoregressive integrated moving average method.ForecastingMathematical modelRegression analysisSARIMA modelTourism

Identifiers

PMID38660034
PMCPMC11041913

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.