From plague to coronavirus: vessel trajectory data from ship automatic identification systems for epidemic modeling | Zendy

Katherine Hoffmann Pham | Zendy; Miguel Luengo-Oroz | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

From plague to coronavirus: vessel trajectory data from ship automatic identification systems for epidemic modeling

Author(s) -

Katherine Hoffmann Pham,

Miguel Luengo-Oroz

Publication year - 2020

Publication title -

journal of travel medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.985

H-Index - 59

eISSN - 1708-8305

pISSN - 1195-1982

DOI - 10.1093/jtm/taaa072

Subject(s) - medicine , trajectory , identification (biology) , automatic identification system , covid-19 , plague (disease) , coronavirus , transmission (telecommunications) , epidemiology , virology , disease , computer security , infectious disease (medical specialty) , computer science , pathology , telecommunications , biology , botany , physics , astronomy

In addition to moving people and goods, ships can spread disease. Vessel trajectory data from ship Automatic Identification Systems (AIS) is available online and can be extracted and analyzed, as we illustrate in the case of the current coronavirus epidemic. This data should be included in epidemiological models of disease transmission to complement air traffic data and inform operational responses.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research