AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19.
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| Title: | AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19. |
|---|---|
| Authors: | Suryanarayanan P; IBM Research, Yorktown Heights, USA. psuryan@us.ibm.com., Tsou CH; IBM Research, Yorktown Heights, USA., Poddar A; IBM Research, Yorktown Heights, USA., Mahajan D; IBM Research, Yorktown Heights, USA., Dandala B; IBM Research, Yorktown Heights, USA., Madan P; IBM Research, Cambridge, USA., Agrawal A; IBM Research, Yorktown Heights, USA., Wachira C; IBM Research, Nairobi, Kenya., Samuel OM; IBM Research, Nairobi, Kenya., Bar-Shira O; IBM Research, Mount Carmel Haifa, Israel., Kipchirchir C; IBM Research, Nairobi, Kenya., Okwako S; IBM Research, Nairobi, Kenya., Ogallo W; IBM Research, Nairobi, Kenya., Otieno F; IBM Research, Nairobi, Kenya., Nyota T; IBM Research, Nairobi, Kenya., Matu F; IBM Research, Nairobi, Kenya., Barros VR; IBM Research, Mount Carmel Haifa, Israel., Shats D; IBM Research, Mount Carmel Haifa, Israel., Kagan O; IBM Research, Mount Carmel Haifa, Israel., Remy S; IBM Research, Nairobi, Kenya., Bent O; IBM Research, Nairobi, Kenya., Guhan P; IBM Research, Nairobi, Kenya., Mahatma S; IBM Research, Yorktown Heights, USA., Walcott-Bryant A; IBM Research, Nairobi, Kenya., Pathak D; IBM Research, Yorktown Heights, USA., Rosen-Zvi M; IBM Research, Mount Carmel Haifa, Israel. |
| Source: | Scientific data [Sci Data] 2021 Mar 25; Vol. 8 (1), pp. 94. Date of Electronic Publication: 2021 Mar 25. |
| Publication Type: | Dataset; Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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