Evidence map›Paper›PMID 33291676›Full record

ArticleInternational journal of environmental research and public health2020

Predicting SARS-CoV-2 Weather-Induced Seasonal Virulence from Atmospheric Air Enthalpy.

Angelo Spena, Leonardo Palombi, Massimo Corcione, Alessandro Quintino, Mariachiara Carestia, Vincenzo Andrea Spena

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. SARS-CoV-2 Survival on Surfaces. Measurements Optimisation for an Enthalpy-Based Assessment of the Risk.International journal of environmental research and public health · 2023
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Indoor Model Simulation for COVID-19 Transport and Exposure.International journal of environmental research and public health · 2021
    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

6 authors.

Angelo SpenaDepartment of Enterprise Engineering, Tor Vergata University of Rome, 00133 Rome, Italy.
Leonardo PalombiDepartment of Biomedicine and Prevention, Tor Vergata University of Rome, 00133 Rome, Italy.ORCID 0000-0003-1806-5278
Massimo CorcioneDepartment of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-4099-7506
Alessandro QuintinoDepartment of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-2356-914X
Mariachiara CarestiaDepartment of Industrial Engineering, Tor Vergata University of Rome, 00133 Rome, Italy.ORCID 0000-0001-7811-5201
Vincenzo Andrea SpenaDepartment of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-2685-8702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following the coronavirus disease 2019 (COVID-19) pandemic, several studies have examined the possibility of correlating the virulence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, to the climatic conditions of the involved sites; however, inconclusive results have been generally obtained. Although neither air temperature nor humidity can be independently correlated with virus viability, a strong relationship between SARS-CoV-2 virulence and the specific enthalpy of moist air appears to exist, as confirmed by extensive data analysis. Given this framework, the present study involves a detailed investigation based on the first 20-30 days of the epidemic before public health interventions in 30 selected Italian provinces with rather different climates, here assumed as being representative of what happened in the country from North to South, of the relationship between COVID-19 distributions and the climatic conditions recorded at each site before the pandemic outbreak. Accordingly, a correlating equation between the incidence rate at the early stage of the epidemic and the foregoing average specific enthalpy of atmospheric air was developed, and an enthalpy-based seasonal virulence risk scale was proposed to predict the potential danger of COVID-19 outbreak due to the persistence of weather conditions favorable to SARS-CoV-2 viability. As an early detection tool, an unambiguous risk chart expressed in terms of coupled temperatures and relative humidity (RH) values was provided, showing that safer conditions occur in the case of higher RHs at the highest temperatures, and of lower RHs at the lowest temperatures. Despite the complex determinism and dynamics of the pandemic and the related caveats, the restriction of the study to its early stage allowed the proposed risk scale to result in agreement with the available infectivity data highlighted in the literature for a number of cities around the world.

Indexed as

SeasonsWeatherCitiesCOVID-19ForecastingHumansHumidityItalyPandemicsTemperatureVirulencecorrelating equationCOVID-19 spread prediction risk scalespecific enthalpy of atmospheric moist airtemperature and humidity effects on COVID-19 outbreakweather-related SARS-CoV-2 virulence

Identifiers

PMID33291676
PMCPMC7729562

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.