Simple control for complex pandemics: the impact of testing and contact tracing on heterogeneous networks
Amidst the current COVID-19 pandemic, quantifying the effects of strategies that mitigate the spread of infectious diseases is critical. This article presents a compartmental model that addresses the role of random viral testing, follow-up contact tracing, and subsequent isolation of infectious individuals to stabilize the spread of a disease. We propose a branching model and an individual (or agent) based model, both of which capture the stochastic, heterogeneous nature of interactions within a community. The branching model is used to derive new analytical results for the trade-offs between the different mitigation strategies, with the surprising result that a community's resilience to disease outbreaks is independent of its underlying network structure..
| Medienart: |
|
|---|
Preprint| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
arXiv.org - (2020) vom: 16. Dez. Zur Gesamtaufnahme - year:2020 |
|---|
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Fay, Sarah C. [VerfasserIn] |
|---|
| Links: |
Volltext [kostenfrei] |
|---|
| Förderinstitution / Projekttitel: |
|
|---|
| PPN (Katalog-ID): |
XAR019566816 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | XAR019566816 | ||
| 003 | DE-627 | ||
| 005 | 20230429062644.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201218s2020 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627)XAR019566816 | ||
| 035 | |a (DE-599)arXiv2012.08755 | ||
| 035 | |a (arXiv)2012.08755 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 510 |q DE-84 | |
| 082 | 0 | |a 530 |q DE-84 | |
| 082 | 0 | |a 570 |q DE-84 | |
| 100 | 1 | |a Fay, Sarah C. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Simple control for complex pandemics: the impact of testing and contact tracing on heterogeneous networks |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Amidst the current COVID-19 pandemic, quantifying the effects of strategies that mitigate the spread of infectious diseases is critical. This article presents a compartmental model that addresses the role of random viral testing, follow-up contact tracing, and subsequent isolation of infectious individuals to stabilize the spread of a disease. We propose a branching model and an individual (or agent) based model, both of which capture the stochastic, heterogeneous nature of interactions within a community. The branching model is used to derive new analytical results for the trade-offs between the different mitigation strategies, with the surprising result that a community's resilience to disease outbreaks is independent of its underlying network structure. | ||
| 700 | 1 | |a Jones, Dalton J. |e verfasserin |4 aut | |
| 700 | 1 | |a Dahleh, Munther A. |e verfasserin |4 aut | |
| 700 | 1 | |a Hosoi, A. E. |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t arXiv.org |g (2020) vom: 16. Dez. |
| 773 | 1 | 8 | |g year:2020 |g day:16 |g month:12 |
| 856 | 4 | 0 | |u https://arxiv.org/abs/2012.08755 |z kostenfrei |3 Volltext |
| 912 | |a GBV_XAR | ||
| 912 | |a SSG-OLC-PHA | ||
| 951 | |a AR | ||
| 952 | |j 2020 |b 16 |c 12 | ||
| 953 | |2 045F |a 510 | ||
| 953 | |2 045F |a 530 | ||
| 953 | |2 045F |a 570 | ||