Poirier C - Search Results

1

Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study.

Poirier C, Bouzillé G, Bertaud V, Cuggia M, Santillana M, Lavenu A. Poirier C, et al. JMIR Public Health Surveill. 2023 Jan 31;9:e34982. doi: 10.2196/34982. JMIR Public Health Surveill. 2023. PMID: 36719726 Free PMC article.

2

Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study.

Poirier C, Lavenu A, Bertaud V, Campillo-Gimenez B, Chazard E, Cuggia M, Bouzillé G. Poirier C, et al. JMIR Public Health Surveill. 2018 Dec 21;4(4):e11361. doi: 10.2196/11361. JMIR Public Health Surveill. 2018. PMID: 30578212 Free PMC article.

3

Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

Poirier C, Hswen Y, Bouzillé G, Cuggia M, Lavenu A, Brownstein JS, Brewer T, Santillana M. Poirier C, et al. PLoS One. 2021 May 19;16(5):e0250890. doi: 10.1371/journal.pone.0250890. eCollection 2021. PLoS One. 2021. PMID: 34010293 Free PMC article.

4

Leveraging hospital big data to monitor flu epidemics.

Bouzillé G, Poirier C, Campillo-Gimenez B, Aubert ML, Chabot M, Chazard E, Lavenu A, Cuggia M. Bouzillé G, et al. Among authors: poirier c. Comput Methods Programs Biomed. 2018 Feb;154:153-160. doi: 10.1016/j.cmpb.2017.11.012. Epub 2017 Nov 15. Comput Methods Programs Biomed. 2018. PMID: 29249339 Free article.

5

Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M. Liu D, et al. Among authors: poirier c. J Med Internet Res. 2020 Aug 17;22(8):e20285. doi: 10.2196/20285. J Med Internet Res. 2020. PMID: 32730217 Free PMC article.

6

The Role of Environmental Factors on Transmission Rates of the COVID-19 Outbreak: An Initial Assessment in Two Spatial Scales.

Poirier C, Luo W, Majumder MS, Liu D, Mandl KD, Mooring TA, Santillana M. Poirier C, et al. SSRN [Preprint]. 2020 Mar 12:3552677. doi: 10.2139/ssrn.3552677. SSRN. 2020. PMID: 32714106 Free PMC article. Updated. Preprint.

7

Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M. Liu D, et al. Among authors: poirier c. J Med Internet Res. 2020 Sep 22;22(9):e23996. doi: 10.2196/23996. J Med Internet Res. 2020. PMID: 32960774 Free PMC article.

8

The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales.

Poirier C, Luo W, Majumder MS, Liu D, Mandl KD, Mooring TA, Santillana M. Poirier C, et al. Sci Rep. 2020 Oct 12;10(1):17002. doi: 10.1038/s41598-020-74089-7. Sci Rep. 2020. PMID: 33046802 Free PMC article.

9

A nowcasting framework for correcting for reporting delays in malaria surveillance.

Menkir TF, Cox H, Poirier C, Saul M, Jones-Weekes S, Clementson C, M de Salazar P, Santillana M, Buckee CO. Menkir TF, et al. Among authors: poirier c. PLoS Comput Biol. 2021 Nov 16;17(11):e1009570. doi: 10.1371/journal.pcbi.1009570. eCollection 2021 Nov. PLoS Comput Biol. 2021. PMID: 34784353 Free PMC article.

10

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States.

Stolerman LM, Clemente L, Poirier C, Parag KV, Majumder A, Masyn S, Resch B, Santillana M. Stolerman LM, et al. Among authors: poirier c. Sci Adv. 2023 Jan 18;9(3):eabq0199. doi: 10.1126/sciadv.abq0199. Epub 2023 Jan 18. Sci Adv. 2023. PMID: 36652520 Free PMC article.

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