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. 2019 Aug 1;24(31):1800216. doi: 10.2807/1560-7917.ES.2019.24.31.1800216

Table 3. Systematic review on airline passenger data in infectious disease modelling, data sources identified in the selected articles, grouped by sector (n = 136 articles).

Data source (number of uses; percentage of total uses of any data source) Number of articles using data sourcea Reference(s)
Commercial/industry (n = 131; 62%)
International Air Transport Association (IATA)
IATA − unspecified database 57 [9,10,14-16,20-34,42-46,53,57-61,66,74,75,80-82,85,88,92,93,97,101,102,109,115-118,123,124,135,136,140,141,151,152
IATA − Air passenger market analysis 1 [99]
IATA − Airport intelligence services – passenger data 1 [153]
IATA − International travel statistics 1 [108]
IATA − Passenger intelligence services 1 [98]
OAG (company specialising in airline industry data)
OAG − Unspecified database 30 [2,15-20,23,24,34-39,41,43,44,46,66,85,97,115,122,128,136,142,145,146,154]
OAG MAX 5 [40,83,96,103,127]
OAG − t 100 database 2 [65,112]
OAG − Traffic analyser 1 [77]
International Civil Aviation Organization (ICAO)
ICAO − Unspecified database 11 [17-20,59,89,97,104,115,147,149]
ICAO − Traffic by flight stage 1 [15]
Air transport statistics 3 [18-20]
Airports Council International (ACI) 1 [117]
Amadeus 1 [110]
BACK Aviation Solutions Incorporated 4 [15,20,97,115]
CapStat 1 [132]
Diio 3 [105,111,113]
Feeyo 1 [52]
Landings.com 1 [110]
OpenFlights.org 4 [64,120,130,131]
OurAirports.com 1 [64]
Tourism surveys (n = 9; 4%)
Icelandic Tourist Board 1 [56]
Singapore Tourism Board 1 [144]
Turism.se (Swedish tourist and travel commercial database) 1 [13]
World Tourism Organization (UNWTO) 5 [95,107,134,150,155]
United States Office of Travel and Tourism Industries 1 [41]
National passenger surveys (n = 4; 2%)
Brazilian Ministry of Tourism 1 [95]
United Kingdom Office for National Statistics 3 [107,134,138]
Airport-published information (n = 12; 6%)
Amsterdam Airport (Schiphol) 1 [79]
Beijing Capital International Airport 2 [108,109]
German airports (Hannover, Frankfurt, Hamburg, Munich) 1 [79]
Helsinki Airport 1 [79]
Hong Kong International Airport 2 [108,109]
Keflavik Airport 1 [56]
London airports (Heathrow, Gatwick, Stansted, Luton) 1 [79]
Madeira Airport 1 [121]
Teheran Airport 1 [79]
Venice Airport 1 [79]
Government-published information (n = 33; 15%)
United States Department of Transport 14 [15,20,54,62-65,84,97,100,112,115,133,148]
Australian Department of Transport 2 [18,19]
Australian International Airport Traffic 4 [15,18-20]
Brazilian Ministry of Tourism 1 [126]
Department of Tourism of Thailand 1 [139]
Hong Kong Tourism Board 1 [91]
Japan National Tourism Organization 1 [55]
Malaysian Department of Statistics 1 [78]
Mexican Secretary Communication and Transport 1 [106]
National Statistics China 1 [104]
General Authority Of Civil Aviation of Saudi Arabia 1 [117]
Singapore tourism sector performance 1 [125]
Statistics Canada 1 [119]
Statistics Iceland 1 [56]
United Kingdom civil aviation authorities 2 [50,86]
Other sources (n = 11; 5%)
Airbus Industries 3 [15,20,97]
Boeing Corporation 3 [15,20,97]
EuroStat 4 [59,100,129,137]
Twitter 1 [51]
Unclear or unreported (n = 13; 6 %) 13 [15,18-20,48,87,90,94,97,114,119,127,143]

a Some articles used more than one data source.