Evidence map›Paper›PMID 36006119›Full record

ArticleToxics2022

Assessing the Impact of Meteorological Factors on COVID-19 Seasonality in Metropolitan Chennai, India.

Thodhal Yoganandham Suman, Rajendiran Keerthiga, Rajan Renuka Remya, Amali Jacintha, Junho Jeon

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 45% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 at 4 institutions in 3 countries.

Thodhal Yoganandham SumanDepartment of Environmental Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Korea.ORCID 0000-0003-0975-9091
Rajendiran KeerthigaCollege of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.ORCID 0000-0002-5119-770X
Rajan Renuka RemyaCentre for Material Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Selaiyur, Chennai 600126, Tamil Nadu, India.ORCID 0000-0001-9261-7574
Amali JacinthaEcotoxicology Division, Centre for Ocean Research, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India.
Junho JeonDepartment of Environmental Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Korea.ORCID 0000-0001-8581-2881
Changwon National University · KRBharath University · INSathyabama Institute of Science and Technology · INSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meteorological factors may influence coronavirus disease 2019 (COVID-19) transmission. Due to the small number of time series studies, the relative importance of seasonality and meteorological factors is still being debated. From March 2020 to April 2021, we evaluated the impact of meteorological factors on the transmission of COVID-19 in Chennai, India. Understanding how the COVID-19 pandemic spreads over the year is critical to developing public health strategies. Correlation models were used to examine the influence of meteorological factors on the transmission of COVID-19. The results revealed seasonal variations in the number of COVID-19-infected people. COVID-19 transmission was greatly aggravated by temperature, wind speed, nitric oxide (NO) and barometric pressure (BP) during summer seasons, whereas wind speed and BP aggravated COVID-19 transmission during rainy seasons. Furthermore, PM 2.5, NO and BP aggravated COVID-19 transmission during winter seasons. However, their relationships fluctuated seasonally. Our research shows that seasonal influences must be considered when developing effective interventions.

Indexed as

barometric pressureCOVID-19linear regression modelPM 2.5seasonaltemperaturewind speed

Identifiers

PMID36006119
PMCPMC9414974
OpenAlexW4289526339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.