Skip to main content
Top
Published in: Globalization and Health 1/2020

Open Access 01-12-2020 | COVID-19 | Commentary

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

Authors: Sachin S. Gunthe, Satya S. Patra

Published in: Globalization and Health | Issue 1/2020

Login to get access

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.
Literature
1.
go back to reference Haider N, Yavlinsky A, Simons D, Osman AY, Ntoumi F, Zumla A, Kock R. Passengers' destinations from China: low risk of novel coronavirus (2019-nCoV) transmission into Africa and South America. Epidemiol Infect. 2020;148:e41.CrossRef Haider N, Yavlinsky A, Simons D, Osman AY, Ntoumi F, Zumla A, Kock R. Passengers' destinations from China: low risk of novel coronavirus (2019-nCoV) transmission into Africa and South America. Epidemiol Infect. 2020;148:e41.CrossRef
2.
go back to reference Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13.CrossRef Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507–13.CrossRef
3.
go back to reference Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020;395(10225):689–97.CrossRef Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020;395(10225):689–97.CrossRef
4.
go back to reference Boldog P, Tekeli T, Vizi Z, Denes A, Bartha FA, Rost G. Risk assessment of novel coronavirus COVID-19 outbreaks outside China. J Clin Med. 2020;9(1-12). Boldog P, Tekeli T, Vizi Z, Denes A, Bartha FA, Rost G. Risk assessment of novel coronavirus COVID-19 outbreaks outside China. J Clin Med. 2020;9(1-12).
5.
go back to reference Bwire GM, Paulo LS. Coronavirus disease-2019: is fever an adequate screening for the returning travelers? Trop Med Health. 2020;48(1). Bwire GM, Paulo LS. Coronavirus disease-2019: is fever an adequate screening for the returning travelers? Trop Med Health. 2020;48(1).
6.
go back to reference Habibi R, Burci GL, de Campos TC, Chirwa D, Cina M, Dagron S, Eccleston-Turner M, Forman L, Gostin LO, Meier BM, et al. Do not violate the international health regulations during the COVID-19 outbreak. Lancet. 2020;395(10225):664–6.CrossRef Habibi R, Burci GL, de Campos TC, Chirwa D, Cina M, Dagron S, Eccleston-Turner M, Forman L, Gostin LO, Meier BM, et al. Do not violate the international health regulations during the COVID-19 outbreak. Lancet. 2020;395(10225):664–6.CrossRef
7.
go back to reference Anzai A, Kobayashi T, Linton NM, Kinoshita R, Hayashi K, Suzuki A, Yang YC, Jung S, Miyama T, Akhmetzhanov AR, et al. Assessing the impact of reduced travel on exportation dynamics of novel coronavirus infection (COVID-19). J Clin Med. 2020;9(2). Anzai A, Kobayashi T, Linton NM, Kinoshita R, Hayashi K, Suzuki A, Yang YC, Jung S, Miyama T, Akhmetzhanov AR, et al. Assessing the impact of reduced travel on exportation dynamics of novel coronavirus infection (COVID-19). J Clin Med. 2020;9(2).
8.
go back to reference Pullano G, Pinotti F, Valdano E, Boelle PY, Poletto C, Colizza V. Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020. Eurosurveillance. 2020;25(4):2–6.CrossRef Pullano G, Pinotti F, Valdano E, Boelle PY, Poletto C, Colizza V. Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020. Eurosurveillance. 2020;25(4):2–6.CrossRef
9.
go back to reference Huff A, Allen T, Whiting K, Breit N, Arnold B. FLIRT-ing with Zika: a web application to predict the movement of infected travelers validated against the current Zika virus epidemic. PLoS Curr. 2016;8 ecurrents.outbreaks.711379ace711737b711377c711304c89765342a89765349a89765348c89765349. Huff A, Allen T, Whiting K, Breit N, Arnold B. FLIRT-ing with Zika: a web application to predict the movement of infected travelers validated against the current Zika virus epidemic. PLoS Curr. 2016;8 ecurrents.outbreaks.711379ace711737b711377c711304c89765342a89765349a89765348c89765349.
10.
go back to reference Massad E, Wilder-Smith A. Risk estimates of dengue in travelers to dengue endemic areas using mathematical models. J Travel Med. 2009;16(3):191–3.CrossRef Massad E, Wilder-Smith A. Risk estimates of dengue in travelers to dengue endemic areas using mathematical models. J Travel Med. 2009;16(3):191–3.CrossRef
Metadata
Title
Impact of international travel dynamics on domestic spread of 2019-nCoV in India: origin-based risk assessment in importation of infected travelers
Authors
Sachin S. Gunthe
Satya S. Patra
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
COVID-19
Published in
Globalization and Health / Issue 1/2020
Electronic ISSN: 1744-8603
DOI
https://doi.org/10.1186/s12992-020-00575-2

Other articles of this Issue 1/2020

Globalization and Health 1/2020 Go to the issue