Evidence map›Paper›PMID 32337151›Full record

ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health2022

On the global trends and spread of the COVID-19 outbreak: preliminary assessment of the potential relation between location-specific temperature and UV index.

Sachin S Gunthe, Basudev Swain, Satya S Patra, Aneesh Amte

Open access · bronzeAbstract read
In one paragraph

Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Environment and COVID-19 incidence: A critical review.Journal of environmental sciences (China) · 2023
    Review
  5. Lockdown Amid COVID-19 Ascendancy over Ambient Particulate Matter Pollution Anomaly.International journal of environmental research and public health · 2022
    Review
  6. The COVID-19 pandemic: Virus transmission and risk assessment.Current opinion in environmental science & health · 2022
    Review
  7. Modeling and Preliminary Analysis of the Impact of Meteorological Conditions on the COVID-19 Epidemic.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Post-COVID-19 precautions based on lessons learned from past pandemics: a review.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2022
    Review
  13. Article
  14. Article
  15. Association between environmental factors and COVID-19 in Shanghai, China.Environmental science and pollution research international · 2021
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Sachin S GuntheEWRE Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600 036 India.
Basudev SwainEWRE Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600 036 India.
Satya S PatraTransportation Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600 036 India.
Aneesh AmteAasha Endoscopy Center, Vasant Prestige, 5 Bunglow, Shahupuri, Kolhapur, 416001 India.
Indian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus, since its first outbreak in December, has, up till now, affected approximately 114,542 people across 115 countries. Many international agencies are devoting efforts to enhance the understanding of the evolving COVID-19 outbreak on an international level, its influences, and preparedness. At present, COVID-19 appears to affect individuals through person-to-person means, like other commonly found cold or influenza viruses. It is widely known and acknowledged that viruses causing influenza peak during cold temperatures and gradually subside in the warmer temperature, owing to their seasonality. Thus, COVID-19, due to its regular flu-like symptoms, is also expected to show similar seasonality and subside as the global temperatures rise in the northern hemisphere with the onset of spring. Despite these speculations, however, the systematic analysis in the global perspective of the relation between COVID-19 spread and meteorological parameters is unavailable. Here, by analyzing the region- and city-specific affected global data and corresponding meteorological parameters, we show that there is an optimum range of temperature and UV index strongly affecting the spread and survival of the virus, whereas precipitation, relative humidity, cloud cover, etc. have no effect on the virus. Unavailability of pharmaceutical interventions would require greater preparedness and alert for the effective control of COVID-19. Under these conditions, the information provided here could be very helpful for the global community struggling to fight this global crisis. It is, however, important to note that the information presented here clearly lacks any physiological evidences, which may merit further investigation. Thus, any attempt for management, implementation, and evaluation strategies responding to the crisis arising due to the COVID-19 outbreak must not consider the evaluation presented here as the foremost factor.

Indexed as

CoronavirusCOVID-19Non-physiological reactionTemperatureUV index

Identifiers

PMID32337151
PMCPMC7180684
OpenAlexW3019956573

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.