Evidence map›Paper›PMID 32398137›Full record

ArticleGlobalization and health2020

Impact of international travel dynamics on domestic spread of 2019-nCoV in India: origin-based risk assessment in importation of infected travelers.

Sachin S Gunthe, Satya S Patra

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. COVID-19 Pandemic Risk Assessment: Systematic Review.Risk management and healthcare policy · 2024
    Review
  4. Article
  5. Mapping ex ante risks of COVID-19 in Indonesia using a Bayesian geostatistical model on airport network data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. COVID-19 and cardiovascular risk: Flying toward a silent world?Journal of clinical hypertension (Greenwich, Conn.) · 2020
    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

2 authors at 1 institution in 1 country.

Sachin S GuntheEWRE Division, Dept. of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600 036, India. s.gunthe@iitm.ac.in.ORCID 0000-0002-7903-7783
Satya S PatraTransportation Engineering Division, Dept. of Civil Engineering, Indian Institute of Technology Madras, Chennai, 600 036, India.
Indian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent pandemic caused by the 2019 outbreak of novel coronavirus (2019-nCoV or COVID-19) has affected more than 3.0 million people resulting ~ 212,000 deaths across 215 countries/territories as on 28th April 2020. The importation of the cases owing to enormous international travels from the affected countries is the foremost reason for local cycle of transmission. For a country like India, the second most populous country in the world with ~ 1.35 billion population, the management and control of 2019-nCoV domestic spread heavily relied on effective screening and strict quarantine of passengers arriving at various international airports in India from affected countries. Here, by extracting the data from FLIRT, an online airline database for more than 800 airlines, and scanning more than 180,000 flights and 39.9 million corresponding passenger seats during 4th - 25th March, we show that India experienced the highest risk index of importing the passengers from middle eastern airports. Contrary to perception, travelers from China imposed lowest risk of importing the infected cases in India. This is clearly evident form the fact that while the number of infected cases were on the peak in China India was one of the least affected countries. The number of cases in India started exhibiting a sharp increase in the infected cases only after the European countries and USA recorded large number of infected cases. We further argue that while the number of cases in middle eastern countries may still be very low, the airports in middle eastern countries, particularly Dubai, being one of the largest transit hubs for international passengers, including arriving in India, might have posed a higher risk of getting infected with 2019-nCoV. We suggest that any future travel related disease infection screening at the airports should critically assess the passengers from major transit hubs in addition to affected country of origin.

Indexed as

Communicable Diseases, ImportedPandemicsTravelAircraftAirportsChinaCoronavirus InfectionsCOVID-19Disease OutbreaksHumansIndiaMass ScreeningPneumonia, ViralQuarantineRisk AssessmentTravel-Related IllnessAirport screeningCOVID-19IndiaTravel risk assessment

Identifiers

PMID32398137
PMCPMC7216130
OpenAlexW3024799079

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.