Evidence map›Paper›PMID 33457496›Full record

ArticleModeling earth systems and environment2022

Numerical simulation of the force of infection and the typical times of SARS-CoV-2 disease for different location countries.

Marwan Al-Raeei

Abstract read
In one paragraph

Article in Modeling earth systems and environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

1 author.

Marwan Al-RaeeiFaculty of Sciences, Damascus University, Damascus, Syrian Arab Republic.ORCID 0000-0003-0984-2098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The new coronavirus disease appeared at the end of 2019 which is now a very big problem by spreading over the world and there are multiple parameters that can be discussed to be tools for the forecasting and the spreading of the pandemic such as the force of infection, the exponential base…etc. In this work, we estimate the force of infection and the specific times of the disease. For estimating the force of infection and the specific times, we use SEIR (susceptible cases of the disease, infectious cases of the disease, and recovered cases of the disease) epidemic model and the numerical analysis methods for simulating the values. We use the collected data of the new coronavirus pandemic reported up to 21 September, 2020 in different geographical location countries, which are, China, USA, Russia, the United Kingdom, Brazil, Spain, Bahrain, Egypt, India, Iran, Cyprus and the Syrian Arab Republic. We found that the force of infection and the specific times of SARS-CoV-2 disease are different for different location in countries. We find that there is no actual relation between the force of infection and the specific times of the pandemic of the new coronavirus disease with the weather and the geographical location of the countries.

Indexed as

COVID-19ModelsNumerical simulationPandemicSEIR modelThe force of infection

Identifiers

PMID33457496
PMCPMC7801231

What OpenQuestion holds

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Registered trials

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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.