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The use and reporting of airline passenger data for infectious disease modelling: a systematic review

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The use and reporting of airline passenger data for infectious disease modelling : a systematic review. / Meslé, Margaux MI; Hall, Ian M ; Christley, Robert M; Leach, Steve; Read, Jonathan.

In: Eurosurveillance, Vol. 24, No. 31, 01.08.2019.

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Meslé, Margaux MI ; Hall, Ian M ; Christley, Robert M ; Leach, Steve ; Read, Jonathan. / The use and reporting of airline passenger data for infectious disease modelling : a systematic review. In: Eurosurveillance. 2019 ; Vol. 24, No. 31.

Bibtex

@article{9aedf6f78bb748cc9c0516e3992e87ee,
title = "The use and reporting of airline passenger data for infectious disease modelling: a systematic review",
abstract = "BackgroundA variety of airline passenger data sources are used for modelling the international spread of infectious diseases. Questions exist regarding the suitability and validity of these sources.AimWe conducted a systematic review to identify the sources of airline passenger data used for these purposes and to assess validation of the data and reproducibility of the methodology.MethodsArticles matching our search criteria and describing a model of the international spread of human infectious disease, parameterised with airline passenger data, were identified. Information regarding type and source of airline passenger data used was collated and the studies{\textquoteright} reproducibility assessed.ResultsWe identified 136 articles. The majority (n = 96) sourced data primarily used by the airline industry. Governmental data sources were used in 30 studies and data published by individual airports in four studies. Validation of passenger data was conducted in only seven studies. No study was found to be fully reproducible, although eight were partially reproducible.LimitationsBy limiting the articles to international spread, articles focussed on within-country transmission even if they used relevant data sources were excluded. Authors were not contacted to clarify their methods. Searches were limited to articles in PubMed, Web of Science and Scopus.ConclusionWe recommend greater efforts to assess validity and biases of airline passenger data used for modelling studies, particularly when model outputs are to inform national and international public health policies. We also recommend improving reporting standards and more detailed studies on biases in commercial and open-access data to assess their reproducibility.",
author = "Mesl{\'e}, {Margaux MI} and Hall, {Ian M} and Christley, {Robert M} and Steve Leach and Jonathan Read",
year = "2019",
month = aug,
day = "1",
doi = "10.2807/1560-7917.ES.2019.24.31.1800216",
language = "English",
volume = "24",
journal = "Eurosurveillance",
issn = "1025-496X",
publisher = "Centre Europeen pour la Surveillance Epidemiologique du SIDA",
number = "31",

}

RIS

TY - JOUR

T1 - The use and reporting of airline passenger data for infectious disease modelling

T2 - a systematic review

AU - Meslé, Margaux MI

AU - Hall, Ian M

AU - Christley, Robert M

AU - Leach, Steve

AU - Read, Jonathan

PY - 2019/8/1

Y1 - 2019/8/1

N2 - BackgroundA variety of airline passenger data sources are used for modelling the international spread of infectious diseases. Questions exist regarding the suitability and validity of these sources.AimWe conducted a systematic review to identify the sources of airline passenger data used for these purposes and to assess validation of the data and reproducibility of the methodology.MethodsArticles matching our search criteria and describing a model of the international spread of human infectious disease, parameterised with airline passenger data, were identified. Information regarding type and source of airline passenger data used was collated and the studies’ reproducibility assessed.ResultsWe identified 136 articles. The majority (n = 96) sourced data primarily used by the airline industry. Governmental data sources were used in 30 studies and data published by individual airports in four studies. Validation of passenger data was conducted in only seven studies. No study was found to be fully reproducible, although eight were partially reproducible.LimitationsBy limiting the articles to international spread, articles focussed on within-country transmission even if they used relevant data sources were excluded. Authors were not contacted to clarify their methods. Searches were limited to articles in PubMed, Web of Science and Scopus.ConclusionWe recommend greater efforts to assess validity and biases of airline passenger data used for modelling studies, particularly when model outputs are to inform national and international public health policies. We also recommend improving reporting standards and more detailed studies on biases in commercial and open-access data to assess their reproducibility.

AB - BackgroundA variety of airline passenger data sources are used for modelling the international spread of infectious diseases. Questions exist regarding the suitability and validity of these sources.AimWe conducted a systematic review to identify the sources of airline passenger data used for these purposes and to assess validation of the data and reproducibility of the methodology.MethodsArticles matching our search criteria and describing a model of the international spread of human infectious disease, parameterised with airline passenger data, were identified. Information regarding type and source of airline passenger data used was collated and the studies’ reproducibility assessed.ResultsWe identified 136 articles. The majority (n = 96) sourced data primarily used by the airline industry. Governmental data sources were used in 30 studies and data published by individual airports in four studies. Validation of passenger data was conducted in only seven studies. No study was found to be fully reproducible, although eight were partially reproducible.LimitationsBy limiting the articles to international spread, articles focussed on within-country transmission even if they used relevant data sources were excluded. Authors were not contacted to clarify their methods. Searches were limited to articles in PubMed, Web of Science and Scopus.ConclusionWe recommend greater efforts to assess validity and biases of airline passenger data used for modelling studies, particularly when model outputs are to inform national and international public health policies. We also recommend improving reporting standards and more detailed studies on biases in commercial and open-access data to assess their reproducibility.

U2 - 10.2807/1560-7917.ES.2019.24.31.1800216

DO - 10.2807/1560-7917.ES.2019.24.31.1800216

M3 - Journal article

VL - 24

JO - Eurosurveillance

JF - Eurosurveillance

SN - 1025-496X

IS - 31

ER -