Evidence map›Paper›PMID 33224720›Full record

ArticleResults in physics2020

Examining the correlation between the weather conditions and COVID-19 pandemic in India: A mathematical evidence.

Manash Jyoti Borah, Bipan Hazarika, Sumati Kumari Panda, Juan Jose Nieto

Abstract read
In one paragraph

Article in Results in physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Prediction and Analysis of Tourist Management Strategy Based on the SEIR Model during the COVID-19 Period.International journal of environmental research and public health · 2021
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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

4 authors.

Manash Jyoti BorahDepartment of Mathematics, Bahona College, Jorhat 785 101, Assam, India.
Bipan HazarikaDepartment of Mathematics, Gauhati University, Guwahati 781 014, Assam, India.
Sumati Kumari PandaDepartment of Mathematics, GMR Institute of Technology, Rajam 532 127, Andhra Pradesh, India.
Juan Jose NietoDepartamento de Estadística, Análisis Matemático y Optimización Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, for the analysis of Covid-19 progression in India, we present new insights to formulate a data-driven epidemic model and approximation algorithm using the real data on infection, recovery and death cases with respect to weather in the view of mathematical variables.

Indexed as

Correlation coefficientCOVID-19Epidemic modelFuzzy soft setsIntuitionistic fuzzy sets

Identifiers

PMID33224720
PMCPMC7672333

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.