Estimated Cases Averted by COVID-19 Digital Exposure Notification, Pennsylvania, USA, November 8, 2020–January 2, 2021
We combined field-based data with mathematical modeling to estimate the effectiveness of smartphone-enabled COVID-19 exposure notification in Pennsylvania, USA. We estimated that digital notifications potentially averted 7–69 cases/1,000 notifications during November 8, 2020–January 2, 2021. Greater use and increased compliance could increase the effectiveness of digital notifications..
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:29 |
|---|---|
| Enthalten in: |
Emerging Infectious Diseases - 29(2023), 2, Seite 426-430 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Seonghye Jeon [VerfasserIn] |
|---|
| Links: |
doi.org [kostenfrei] |
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| Themen: |
COVID-19 |
|---|
| doi: |
10.3201/eid2902.220959 |
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| funding: |
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|---|---|
| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
DOAJ081608640 |
|---|
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| 520 | |a We combined field-based data with mathematical modeling to estimate the effectiveness of smartphone-enabled COVID-19 exposure notification in Pennsylvania, USA. We estimated that digital notifications potentially averted 7–69 cases/1,000 notifications during November 8, 2020–January 2, 2021. Greater use and increased compliance could increase the effectiveness of digital notifications. | ||
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