Table 1.
Characteristics of the papers included in the review.
| Authors | Year | Peer reviewed? | Location of study | Transport Mode | Data Collected | Sample Size | Factors Investigated | |
|---|---|---|---|---|---|---|---|---|
| Detecting Contamination by SARS-CoV-2ro | ||||||||
| 1 | Abrahão et al. | 2021 | Yes | Brazil | bus stations | Yes | 64 samples (bus) | Measuring viral contamination on distinct material surfaces |
| 2 | Brazell et al. | 2021 | pre-print | USA | bus and light rail | Yes | 167 samples (in PT) | Measuring viral contamination on bus and light rail high-touch points |
| 3 | Di Carlo et al. | 2020 | pre-print | Italy | bus | Yes | 104 | Measuring viral contamination on a bus |
| 4 | Hadei et al. | 2021 | Yes | Iran | subway trains and bus | Yes | 10 samples (in PT) | Measuring viral contamination of air samples in public places |
| 5 | Lednicky et al. | 2021 | pre-print | USA | car | Yes | NA | Testing for air contamination in a car |
| 6 | Moreno et al. | 2021 | Yes | Spain | subway trains and bus | Yes | 58 surface samples 24 air samples |
Measuring viral contamination on surfaces and in air |
| 7 | Passos et al. | 2021 | Yes | Brazil | bus stations | Yes | 5 samples (bus stations) | Measuring viral contamination in air |
| Transmission of SARS-CoV-2 | ||||||||
| 8 | Dai & Zhao | 2020 | pre-print | China | bus | modelling | NA | Modelling transmission risk on bus with and without mask |
| 9 | Hu et al. | 2020 | Yes | China | train | Yes | 2334 index patients | Measuring spatial distance, co-travel time |
| 72093 contacts | ||||||||
| 10 | Krishnamurthy et al. | 2020 | Yes | India | bus and train | modelling | NA | Modelling number of passengers and exposure time |
| 11 | Luo et al. | 2020 | Yes | China | coach and minibus | yes | 1 index patient | Seating, duration, ventilation |
| 243 contacts | ||||||||
| 12 | Mesgarpour et al. | 2021 | Yes | Thailand | bus | modelling | NA | Modelling droplet spread |
| 13 | Mo et al. | 2021 | Yes | Singapore | bus | modelling | NA | Modelling effects of operational mitigations on viral spread in network |
| 14 | RSSB | 2020 | yes (by CSA's team at DfT) | UK | train | modelling | NA | Risk for person-to-person contact, number of person contacts, mitigation factors |
| 15 | Shen J et al. | 2021 | pre-print | USA | all public transport | modelling | NA | Modelling probability of infection, and estimating effectiveness of IAQ strategies |
| 16 | Shen Y et al. | 2020 | yes | China | bus | yes | 1 index patient | Modelling high risk vs low risk zones on bus |
| 172 contacts | ||||||||
| 17 | Shoghri et al. | 2020 | Conference publication | Australia | bus | modelling | NA | Modelling movements, distance travelled, and number of encounters |
| Control of SARS-CoV-2 | ||||||||
| 18 | Bonful et al. | 2020 | yes | Ghana | taxi and bus | yes | 45 stations | Observational study of compliance with guidelines |
| 19 | Defar et al. | 2020 | yes | Ethiopia | public transport drivers | yes | 6007 | Measuring knowledge, and practices that control COVID-19 |
| 20 | Dzisi & Dei | 2020 | yes | Ghana | bus | yes | 859 face masks observations 909 distancing observations |
Observational study of compliance with guidelines |
| 21 | Edwards et al. | 2021 | pre-print | USA | bus | yes | NA | Characterising cough aerosol dispersion, operational controls, masks |
| 22 | Heald et al. | 2020 | yes | UK | all public transport | modelling | NA | Modelling the effect of face masks on transmission |
| 23 | Mathai et al. | 2020 | pre-print | USA | taxi | modelling | NA | Modelling spread of pathogens within a car with air flow from windows |
| 24 | Mitze et al. | 2020 | no | Germany | all public transport | yes with modelling | NA | Measuring the effect of compulsory face masks on infection rates |
| 25 | Natnael et al. | 2021 | yes | Ethiopia | taxi | yes | 417 drivers | Measuring facemask wearing and associated factors |
| 26 | Pavansai et al. | 2021 | Conference publication | India | bus | modelling | NA | Modelling droplet dispersion with vehicle velocity and cough velocity |
| 27 | Talekar et al. | 2020 | pre-print | India | train | modelling | NA | Modelling the effects of cohorting workers |
| 28 | Zhang et al. | 2021 | yes | USA | bus | yes | NA | Measuring droplet spread, ventilation, masks |
CSA chief scientific advisor; DfT Department for Transport; IAQ indoor air quality; PT public transport; RSSB Rail Safety and Standards Board.