Skip to main content

Table 1 Parameter descriptions, baseline values, and references

From: Testing and vaccination to reduce the impact of COVID-19 in nursing homes: an agent-based approach

Description

Baseline value

Refs.

Average time a person remains in the non-infectious latency state (\(\alpha\))

\(lognormal(7,3)^{b}\)

[25]

Proportion of asymtomatic people (f)

0.40

[26]

Average recovery time (\(\gamma _1\))

15 days

[27]

Proportion of hospitalized people (\(\sigma _1\))

0.23

[28, 29]

Median number of days from symptom onset to hospitalization (\(\gamma _2\))

4 (1, 9) days

[30]

Median number of days of hospitalization (\(\gamma _3\))

6 (3, 10) days

[30]

Percent that die among those hospitalized (\(\sigma _2\))

11.8%

[31]

Shedding probability

0.38

[a]

Infection probability

0.38

[a]

Introduction probability

0.05

[a]

Assumptions for the scenarios

  

Percentage of staff using PPE

90%

[a]

Percentage of residents using PPE

75%

[a]

PPE effect (\(OR_{pi}\))

0.1467

[a] [32]

 Detection probability

\(80\%\)

[a]

 Percentage of staff tested

\(90\%\)

[a]

 Percentage of resident tested

\(33.3\%\)

[a]

 Frequency of testing

Weekly

[a]

 Vaccine effect (\(OR_{\upsilon }\))

0.0493

[a] [33]

 Vaccine immunity duration

120 days

[a]

Distribution of the staff agent characteristics

 CN contacts per hour

\(Multinom \sim (X_{0}=0.7,X_1=0.3)\)

 RN contacts per hour

\(Multinom \sim (X_0 = 0.25, X_1 =0.75)\)

 LPN contacts per hour

\(Multinom \sim (X_0=0.15,X_2=0.2,X_3=0.25, X_4 =0.2, X_5 =0.2)\)

 Work schedule

\(Multinom \sim (X_{morning}=0.4, X_{afternoon}=0.4, X_{night}=0.2)\)

 Staff type

\(Multinom \sim (X_{CN}=0.6, X_{RN}=0.15, X_{LPN}=0.15)\)

  1. aExplored via sensitivity analysis
  2. bFitted to a distribution from data and truncated to a range of plausible values