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Deterministic SEIR-like model aimed to study the effect of DIT strategy (Detect symptoms, isolate and trace contacts) as an alternative to COVID-19 control.

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SEIR-DIT

SEIR-DIT is a mathematical compartmental model aimed to study the effect of detection of symptoms, isolation and contacts tracing as an alternative to COVID-19 control.

The model is composed of two main ODE systems. A SEIR-like model (see Figure 1) that describes the epidemic dynamics and contains the main epidemiological states, and a secondary compartmental model (see Figures 2,3 and 4), fed by the main SEIR-like model, that allows to calculate the testing requirements and the amount of isolated cases and contacts at every time.

Main SEIR-like model

  • S: Susceptible
  • QS1: Quarantine for suspected index cases and contacts
  • QS2: Quarantine for non-exposed traced contacts of detected mild infections
  • E: Exposed
  • ET: Exposed traced contacts of detected mild infections
  • IM: Mild infections
  • IMD: Detected mild infections
  • IMT: Traced mild infections (coming from exposed traced contacts)
  • IC: Infections requiring hospitalization
  • ICSI: Self-isolated infections requiring hospitalization
  • ICT: Traced infections requiring hospitalization (coming from exposed traced contacts)
  • IHR: Hospitalized infections that require a general hospital bed and recover
  • IUR: Hospitalized infections that require an ICU bed and recover
  • IHD: Hospitalized infections that require a general hospital bed and die
  • IUD: Hospitalized infections that requiring an ICU bed and die
  • IR: Hospitalized infections requiring a general hospital bed after recovering from ICU stay
  • R: Recovered
  • D: Dead
Esquema
Fig. 1. SEIR-like model

Secondary compartmental model for testing and isolation

  • QIMD1: Detected mild infections with positive antigen test
  • QS1: Quarantine for suspected index cases and contacts
  • QS2: Quarantine for non-exposed traced contacts of detected mild infections
  • QET: Exposed traced contacts (isolated after tracing)
  • QIMT: Isolated mild infections (coming from traced exposed contacts)
  • QIMT1: Traced mild infections with positive RT-PCR test
  • QICT: Isolated infections requiring hospitalization (coming from traced exposed contacts)
Esquema Esquema
Fig. 2. Isolation and testing of probable index cases Fig. 3. Isolation and testing of suspected index cases and their contacts
Esquema
Fig. 4. Isolation and testing of exposed contacts
Esquema
Fig. 5. Isolation and testing of non-exposed contacts

Parameters

Epidemiological parameters for transitions between infectious states

The parameters of the main SEIR-like model were adapted from https://mrc-ide.github.io/global-lmic-reports/parameters.html, assuming that the probability of death for critical cases is 0.35

Parameter Value Definition
R0 3.0 Reproduction number
β0 1.3743 Transmission rate in absence of social distancing
β1 0.0199 Transmission rate within households
b - Probability of transmitting the disease b=βM/n
n 15.721 Average number of contacts per individual
βH 0.001 Hospital transmission rate
ω-1 4.6 days Mean incubation period
σC-1 3 days Mean time upon self-isolation for severe infections
σCSI-1 4.1 days Mean duration of isolation for severe infections prior hospitalization
σCT-1 7.1 days Mean duration of isolation for traced contacts with severe infection prior hospitalization
γM-1 2.1 days Mean duration of mild infection
γHR-1 9 days Mean duration of hospitalization for non-critical cases if survive
ν-1 14.8 days Mean duration in ICU if survive
γR-1 3 days Mean duration of stepdown post ICU
σHD-1 9 days Mean duration of hospitalization for non-critical cases if die
σUD-1 11.1 days Mean duration in ICU if die
δM 0.97902 Probability of mild infection
δHR 0.67959 Probability of recovery for hospitalized infections requiring a general hospital bed
δUR 0.13883 Probability of recovery for hospitalized infections requiring an ICU bed
δHD 0.10682 Probability of dying for hospitalized infections requiring a general hospital bed
δUD 0.07476 Probability of dying for hospitalized infections requiring an ICU bed

DIT parameters

A. Contact tracing

Group Contacts per group SAR Proportion of traced contacts Traced contacts of suspected index cases (nT) formula formula
Index case 0 - - 0 0 0
Household 2.039 25% 100% 2.039 0.26 0.11
Work / school 5.931 15% 80% 6.784 0.61 0.41
Other 7.751 5% 50% 10.659 0.71 0.67

B. Testing and isolation

Parameter Value Definition
α-1 1 day Mean time between onset of symptoms and detection
ρ-1 12 days Mean duration of isolation period
TPCR 2 days Mean time to results of RT-PCR test
ξPCR 0.85 Sensitivity of RT-PCR test
TAG 1 days Mean time to results of AG test
ξAG 0.75 Sensitivity of AG test

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Deterministic SEIR-like model aimed to study the effect of DIT strategy (Detect symptoms, isolate and trace contacts) as an alternative to COVID-19 control.

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