Data Science for Global Health
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33851-9_59
Reference20 articles.
1. Wyber R, Vaillancourt S, Perry W, Mannava P, Folaranmi T, Celi LA. Big data in global health: improving health in low- and middle-income countries. Bull World Health Organ. 2015;93(3):203–8. https://doi.org/10.2471/BLT.14.139022.
2. Qingpeng Z, Gao J, Wu JT, Cao Z, Zeng DD. Data science approaches to confronting the COVID-19 pandemic: a narrative review. Philos Trans A Math Phys Eng Sci. 2022;380:20210127. https://doi.org/10.1098/rsta.2021.0127.
3. Hao X, Cheng S, Wu D, Wu T, Lin X, Wang C. Reconstruction of the full transmission dynamics of COVID-19 in Wuhan. Nature. 2020;584(7821):420–4. https://doi.org/10.1038/s41586-020-2554-8.
4. Kleinman RA, Merkel C. Digital contact tracing for COVID-19. CMAJ. 2020;192(24):E653–6. https://doi.org/10.1503/cmaj.200922.
5. Ozturk T, Talo M, Yildirim EA, Baloglu UB, Yildirim O, Rajendra AU. Automated detection of COVID-19 cases using deep neural networks with x-ray images. Comput Biol Med. 2020;121:103792. https://doi.org/10.1016/j.compbiomed.2020.103792.
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