Evidence map›Paper›PMID 34723077›Full record

ArticleEarth systems and environment2021

Impact of Weather Parameters and Population Density on the COVID-19 Transmission: Evidence from 81 Provinces of Turkey.

Mervan Selcuk, Sakir Gormus, Murat Guven

Abstract read
In one paragraph

Article in Earth systems and environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Seasonal correlation of meteorological parameters and PMInternational journal of disaster risk reduction : IJDRR · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Impact of climate indicators on the COVID-19 pandemic in Saudi Arabia.Environmental science and pollution research international · 2022
    Article
  11. Article
  12. Spatiotemporal Analysis of Covid-19 in Turkey.Sustainable cities and society · 2022
    Article
  13. Does airborne pollen influence COVID-19 outbreak?Sustainable cities and society · 2021
    Article
  14. Article
  15. 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

3 authors.

Mervan SelcukResearch Center for Islamic Economics and Finance, Sakarya University, Esentepe Campus, Serdivan, Sakarya Turkey.
Sakir GormusDepartment of Public Finance, Faculty of Political Sciences, Sakarya University, Esentepe Kampüsü, 54050 Serdivan, Sakarya Turkey.
Murat GuvenDepartment of Statistics, Faculty of Arts and Sciences, Sakarya University, Esentepe Campus, Serdivan, Sakarya Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weather factors are effective to transmission of various diseases. Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), and kinds of influenza can be given as example these diseases. The novel corona virus which is called COVID-19 is the most dangerous problem all around the world in these days. Early studies have revealed that COVID-19 cases are affected by environmental factors. Therefore, the purpose of this paper is to examine the relationship between the number of novel coronavirus cases and several weather parameters in 81 provinces of Turkey. Mean incubation period of COVID-19 is in question. Thus, this paper also aims to provide better understanding of the exact incubation period in Turkey by employing four different timeframe which are on the day (lag 0), 3 days ago (lag 3), 7 days ago (lag 7) and 14 days ago (lag 14). We have considered population density as a control variable. The dataset cover COVID-19 cases, population density, average temperature, humidity, pressure, dew point, wind speed, and sunshine duration for 81 provinces of Turkey. We find that population density has a positive correlation with COVID-19 cases. We also find that in lag 3, all parameters except for sunshine duration are negatively correlated with COVID-19 cases and significant. However, only 3 parameters, temperature, air pressure and dew point are negatively correlated with COVID-19 cases and significant for lag 0, lag 7 and lag 14. In addition, temperature, air pressure and dew point parameters are negative and significant in all timeframes.

Indexed as

COVID-19Environment healthPopulation densityTurkeyWeather

Identifiers

PMID34723077
PMCPMC7803664

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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.