Evidence map›Paper›PMID 34246638›Full record

ArticleEnvironmental research2021

COVID-19 in Asia: Transmission factors, re-opening policies, and vaccination simulation.

Maryam Baniasad, Morvarid Golrokh Mofrad, Bahare Bahmanabadi, Sajad Jamshidi

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Dispersal history of SARS-CoV-2 in Galicia, Spain.Journal of medical virology · 2024
    Article
  6. Article
  7. Dispersal history of SARS-CoV-2 in Galicia, Spain.medRxiv : the preprint server for health sciences · 2024
    Article
  8. Review
  9. Article
  10. The Effectiveness of Mobility Restrictions on Controlling the Spread of COVID-19 in a Resistant Population.International journal of environmental research and public health · 2023
    Article
  11. The Nexus Between COVID-19 Factors and Air Pollution.Environmental health insights · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
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 4 institutions in 2 countries.

Maryam BaniasadDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, OH, 43210, USA.
Morvarid Golrokh MofradRazi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Bahare BahmanabadiDepartment of Water Engineering, Imam Khomeini International University, Qazvin, Iran.
Sajad JamshidiDepartment of Agronomy, Purdue University, West Lafayette, IN, 47907, USA. Electronic address: Sjamshi@purdue.edu.
Imam Khomeini International University · IRPurdue University West Lafayette · USRazi Vaccine and Serum Research Institute · IRThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to provide insights on the COVID-19 pandemic in three prime aspects. First, we attempted to understand the association between the COVID-19 transmission rate, environmental factors (air pollution, weather, mobility), and socio-political parameters (Government Stringency Index, GSI). Second, we evaluated the efficiency of various strategies, including radical opening, intermittent lockdown, phase lift, and contact tracing, to exit the COVID-19 pandemic and get back to pre-pandemic conditions using a stochastic individual-based epidemiology model. Third, we used a deep learning approach and simulated the vaccination rate and the time for reaching herd immunity. The analysis was done based on the collected data from eight countries in Asia, including Iran, Turkey, India, Saudi Arabia, United Arab Emirates, the Philippines, South Korea, and Russia (as a transcontinental country). Our findings in the first part highlighted a noninfluential impact from the weather-driven parameters and short-term exposure to pollutants on the transmission rate; however, long-term exposure could potentially increase the risk of COVID-19 mortality rates (based on 1998-2017 p.m.2.5 data). Mobility was highly correlated with the COVID-19 transmission and based on our causal analysis reducing mobility could curb the COVID-19 transmission rate with a 6-day lag time (on average). Secondly, among all the tested policies for exiting the COVID-19 pandemic, the contact tracing was the most efficient if executed correctly. With a 2-day delay in tracing the virus hosts, a 60% successful host tracing, and a 70% contact reduction with the hosts, a pandemic will end in a year without overburdening a healthcare system with 6000 hospital beds capacity per million. Lastly, our vaccine simulations showed that the target date for achieving herd immunity significantly varied among the countries and could be delayed to October-november 2022 in countries like India and Iran (based on 60% immunized population and assuming no intermediate factors affecting the vaccination rate).

Indexed as

COVID-19AsiaCommunicable Disease ControlHumansPandemicsPolicySARS-CoV-2VaccinationAir pollutionContact tracingCOVID-19Deep learningGovernment stringency indexMeteorological variablesPandemicPM2.5Vaccination

Identifiers

PMID34246638
PMCPMC8265190
OpenAlexW3182955079

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.