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] |
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.