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. Author manuscript; available in PMC: 2022 Oct 1.
Published in final edited form as: Prev Med. 2021 May 23;151:106623. doi: 10.1016/j.ypmed.2021.106623

Table 2 –

Scenarios modelled

Scenario Duration Extent of disruption to:
Routine primary screening Surveillance visits Colposcopy/precancer treatment Symptomatic detection
S0 None None None None None
S1 6 months 100% ↓ None None None
S2 100% ↓ 100% ↓ None None
S3 100% ↓ 100% ↓ 100% ↓ None
S4 100% ↓ 100% ↓ 100% ↓ 100% ↓
S5 12 months 100% ↓ None None None
S6 100% ↓ 100% ↓ None None
S7 100% ↓ 100% ↓ 100% ↓ None
S8 100% ↓ 100% ↓ 100% ↓ 100% ↓

Disruptions are assumed to occur across all affected services for the duration, followed by rapid recovery of missed visits when the disruption period ends. The exact timing of the disruption differs between the Australian model and other models due to differences in the time-step used in the models (one year for Australia; smaller in other models). Two models (Australia, USA-Policy1) assume the 12-month disruption occurs over the full year of 2020 (recovery from January 2021); other models assume the 12-month disruption occurs from March 2020 – February 2021 (recovery from March 2021). All models assume the 6-month disruption occurs entirely within 2020. In the 6-month disruption scenarios, recovery is assumed to commence from September 2020 in all models apart from the Australian model, where it is assumed to commence from January 2021.