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Implications of a travel connectivity-based approach for infectious disease transmission risks in Oceania

dc.contributor.authorCadavid Restrepo, Angela
dc.contributor.authorFuruya-Kanamori, Luis
dc.contributor.authorMayfield, Helen
dc.contributor.authorNilles, Eric
dc.contributor.authorLau, Colleen
dc.date.accessioned2024-02-04T22:57:54Z
dc.date.available2024-02-04T22:57:54Z
dc.date.issued2021
dc.date.updated2022-10-09T07:17:02Z
dc.description.abstractIntroduction The increase in international travel brought about by globalisation has enabled the rapid spread of emerging pathogens with epidemic and pandemic potential. While travel connectivity-based assessments may help understand patterns of travel network-mediated epidemics, such approaches are rarely carried out in sufficient detail for Oceania where air travel is the dominant method of transportation between countries. Design Travel data from the Australian Bureau of Statistics, Stats NZ and the United Nations World Tourism Organization websites were used to calculate travel volumes in 2018 within Oceania and between Oceania and the rest of the world. The Infectious Disease Vulnerability Index (IDVI) was incorporated into the analysis as an indicator of each country’s capacity to contain an outbreak. Travel networks were developed to assess the spread of infectious diseases (1) into and from Oceania, (2) within Oceania and (3) between each of the Pacific Island Countries and Territories (PICTs) and their most connected countries. Results Oceania was highly connected to countries in Asia, Europe and North America. Australia, New Zealand and several PICTs were highly connected to the USA and the UK (least vulnerable countries for outbreaks based on the IDVI), and to China (intermediate low vulnerable country). High variability was also observed between the PICTs in the geographical distribution of their international connections. The PICTs with the highest number of international connections were Fiji, French Polynesia, Guam and Papua New Guinea. Conclusion Travel connectivity assessments may help to accurately stratify the risk of infectious disease importation and outbreaks in countries depending on disease transmission in other parts of the world. This information is essential to track future requirements for scaling up and targeting outbreak surveillance and control strategies in Oceania.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2044-6055en_AU
dc.identifier.urihttp://hdl.handle.net/1885/313121
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.en_AU
dc.publisherBMJ Publishing Groupen_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1193826en_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1158469en_AU
dc.rights© 2021 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_AU
dc.sourceBMJ Openen_AU
dc.titleImplications of a travel connectivity-based approach for infectious disease transmission risks in Oceaniaen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue8en_AU
local.contributor.affiliationCadavid Restrepo, Angela, College of Health and Medicine, ANUen_AU
local.contributor.affiliationFuruya Kanamori, Luis, College of Health and Medicine, ANUen_AU
local.contributor.affiliationMayfield, Helen, College of Health and Medicine, ANUen_AU
local.contributor.affiliationNilles, Eric, Harvard Universityen_AU
local.contributor.affiliationLau, Colleen, College of Health and Medicine, ANUen_AU
local.contributor.authoruidCadavid Restrepo, Angela, u5608765en_AU
local.contributor.authoruidFuruya Kanamori, Luis, u5127170en_AU
local.contributor.authoruidMayfield, Helen, u1028048en_AU
local.contributor.authoruidLau, Colleen, u5651486en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor420200 - Epidemiologyen_AU
local.identifier.ariespublicationa383154xPUB21253en_AU
local.identifier.citationvolume11en_AU
local.identifier.doi10.1136/bmjopen-2020-046206en_AU
local.identifier.scopusID2-s2.0-85113138903
local.identifier.thomsonIDWOS:000686755900022
local.publisher.urlhttps://bmjopen.bmj.com/en_AU
local.type.statusPublished Versionen_AU

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