Abstract is: Sara Yemimah Del Valle is a senior scientist and mathematical epidemiologist at Los Alamos National Laboratory (LANL). At the LANL, Del Valle leads the Fusion Team, where she combines internet data with satellite imagery to forecast disease outbreaks. During the COVID-19 pandemic Del Valle created a computational model that could predict the spread of COVID-19 around the United States.
| human | Q5 |
| P2381 | Academic Tree ID | 201679 |
| P968 | email address | sdelvall@lanl.gov |
| P2671 | Google Knowledge Graph ID | /g/11f12p09vr |
| P1960 | Google Scholar author ID | BlSnKx0AAAAJ |
| P6634 | LinkedIn personal profile ID | sara-del-valle-11a33b4 |
| P549 | Mathematics Genealogy Project ID | 33963 |
| P4955 | MR Author ID | 731535 |
| P496 | ORCID iD | 0000-0002-0159-1952 |
| P2038 | ResearchGate profile ID | Sara_Del_Valle |
| P4012 | Semantic Scholar author ID | 8143392 |
| P2002 | X username | sdelvall |
| P184 | doctoral advisor | Mac Hyman | Q6128003 |
| Herbert W. Hethcote | Q101541521 | ||
| P69 | educated at | University of Iowa | Q182973 |
| P108 | employer | Los Alamos National Laboratory | Q379848 |
| P735 | given name | Sara | Q833345 |
| Sara | Q833345 | ||
| P106 | occupation | mathematician | Q170790 |
| P5008 | on focus list of Wikimedia project | WikiProject Zika Corpus | Q54439832 |
| WikiProject COVID-19 | Q87748614 | ||
| P1344 | participant in | Midas Conference 2015 | Q111526900 |
| Midas Conference 2016 | Q111526901 | ||
| Midas Conference 2017 | Q111526902 | ||
| Midas Conference 2019 | Q111526904 | ||
| P39 | position held | board member | Q2824523 |
| P21 | sex or gender | female | Q6581072 |
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| Q111608406 | Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil |
| Q118398 | arXiv | board member | P3320 |
| Sara Del Valle | wikipedia |
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