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. 2020 Dec 14:1–11. doi: 10.1017/ice.2020.1369

Table 1.

Input Parameters for Base Case Simulation and Distributions of Parameters

Input Parameter Base Case Value Sensitivity/Uncertainty Analysis Source
Infection prevalence in the hospital 0.02 Triangular distribution (min = 0, max = 0.5, mode = 0.2) National Records Scotland,7 Public Health Scotland,22Scottish government31(estimated)
Infection prevalence in the community 0.05 Triangular distribution (min = 0, max = 0.2, mode = 0.05) Perez-Reche and Strachan21
The probability that an infected resident dies (age-specific) Drawn for each individual resident from empirical distribution by age:
80+ y: 11%
70–79 y: 6.0%
60–69 y: 2.6%
50–59 y: 0.71%
40–49 y: 0.18%
30–49 y: 0.09%
20–29 y: 0.04%
18–20 y: 0.007%
No (This parameter does not impact our main model output, the number of infected residents, significantly.) Ferguson et al,13Kulu and Dorey32
The Infection Fatality Rate (IFR) for Scotland is adjusted based on the overall aged-adjusted IFR value for the UK and the relative IFR value (=1.18) for other urban areas in Scotland. Most of the population (>80%) in North Lanarkshire live in areas classified as other urban areas.
The probability that an infected staff member dies Drawn for each individual staff member from a uniform distribution (0.0003–0.022) No Ferguson et al,13Kulu and Dorey32
The no. of contacts that a resident has with other residents per day Drawn for each individual resident from a Poisson distribution with a mean of
3.9 contacts per resident per day
Mean of the Poisson distribution is drawn from a triangular distribution (min, 1; max, 5; mode = 3.9) Van den Dool et al,11Chamchod and Ruan33
The no. of contacts that a staff has with other staff per day Drawn for each individual staff member from a Poisson distribution with a mean of 7.3 contacts per staff member per day Mean of the Poisson distribution is drawn from a triangular distribution (min, 1; max, 10; mode, 7.3) Van den Dool et al11
The no. of contacts that a staff has with residents per day Drawn for each individual staff member from a Poisson distribution with a mean of 16.2 contacts per staff per day Mean of the Poisson distribution is drawn from a triangular distribution (min, 10; max, 20; mode, 16.2) Van den Dool et al,11Chamchod and Ruan33
The no. of contacts that a staff has with visitors per day 5.0 contacts per staff member per day Triangular distribution (min, 0; max, 10; mode, 5.0) Discussions with the manager and staff of the representative care home
The probability that a resident comes into contact with another resident in the other unit 20% Triangular distribution (min, 0; max, 0.5; mode, 0.2) Discussions with the manager and staff of the representative care home
The average no. of people visiting a resident per day 1.0 visitor per resident per day Triangular distribution (min, 0; max, 2.0; mode, 1.0) Van den Dool et al,11Port et al34
The rate at which residents leave the care home because of deaths caused by other reasons, moving to another facility, admitted to hospitals, or returning to their own home (rare) 0.005 deaths or discharges per resident per day Triangular distribution (min, 0.001; max, 0.005; mode, 0.004) Scotland Information Services19 (Calculated from data for care homes in North Lanarkshire)
Staff turnover rate 24% per year Triangular distribution (min, 0.1; max, 0.5; mod, 0.24) Scottish Care35
The probability that an infected resident will develop symptoms Drawn for each individual resident from empirical distribution:
80+ y: 0.9
70–79 y: 0.85
60–69 y: 0.8
50–59 y: 0.75
40–49 y: 0.7
30–49 y: 0.65
20–29 y: 0.6
18–20 y: 0.55
Triangular distribution (min, 0.5; max, 0.9; mode, 0.8) Ferguson et al,13Verity et al36
The probability that an infected staff member will develop symptoms 0.7 Triangular distribution (min, 0.5; max, 0.9; mode, 0.7) Ferguson et al,13Verity et al36
(for a population like the United Kingdom or the United States)
The probability that a symptomatic resident has severe symptoms Drawn for each individual resident from empirical distribution:
80+ y: 0.28
70–79 y: 0.25
60–69 y: 0.17
50–59 y: 0.11
40–49 y: 0.05
30–49 y: 0.03
20–29 y: 0.01
18–20 y: 0.001
No (This parameter does not affect no. of infections significantly given the assumptions that symptomatic individuals are isolated) Ferguson et al,13Kulu and Dorey32
The proportion of symptomatic cases requiring hospitalizations for Scotland is adjusted based on the overall aged-adjusted value for the United Kingdom
The probability that a symptomatic staff member has severe symptoms Drawn for each individual staff member from a uniform distribution (0.01–0.17) No Ferguson et al,13Kulu and Dorey32
The probability that an individual (resident or staff) is infected after coming into contact with another infectious individual (resident, staff or visitor) 0.02 Triangular distribution (min, 0.001; max, 0.1; mode, 0.02) Ferguson et al,13Wang et al,37Tang et al38
The time elapsed between first exposure and becoming infectious Lognormal (μ = 1.16, σ = 0.85) No (This parameter does not significantly affect number of infections as exposed individuals are not infectious. Also, values for this parameter are relatively consistent across studies.) Lauer et al,39McAloon et al,40Nishiura et al41 (log normal mean, 4.6; SD, 4.8)
The time elapsed between becoming infectious and onset of symptoms Discrete uniform distribution (1,3) No (Values for this parameter are consistent across studies.) He et al,42 Gatto et al,43 Byrne et al44
The time elapsed between onset of symptoms and recovery (or recovery time for those who remain asymptomatic) Asymptomatic: log normal (μ = 2.049, σ = 0.246)
Symptomatic:
Mild: log normal (μ = 2.049, σ = 0.246)
Severe: log normal (μ = 2.624, σ = 0.170)
No (There is a strong consensus about the distribution of this parameter in literature.) Kerr et al,17 Wölfel et al45
The reduction of resident–resident and staff–staff interactions when social distancing is implemented 0.75 Triangular distribution (min, 0.2; max, 0.9; mode, 0.75) Assumed (based on other models’ assumption13,46 and discussions with care home staff and managers)
The sensitivity of RT-PCR test 0.7 Triangular distribution (min, 0.6; max, 0.98; mode, 0.7) Watson et al,47 Arevalo-Rodriguez et al48
The lag between testing and test result 1 day No (implemented in scenario-based uncertainty analysis) Discussion with representatives from Public Health Medicine (NHS Lanarkshire) and Lanarkshire Health and Social Care Partnership
Effectiveness of isolation of infected residents 100% 50%, 75%, and 100% Assumed (based on other models’ assumptions13,46)