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