Downloads provided by UsageCounts
ZIP folder containing supplementary files to the article entitled Analyzing and Modeling the Spread of SARS-CoV-2 Omicron Lineages BA.1 and BA.2, France, September 2021–February 2022 and published in Emerging Infectious Diseases with doi 10.3201/eid2807.220033 Script_EID_1.R is the R script analysing the data_EID1.csv screening test data file (Figure 1 and Suppl Figure F1, and Tables 1 and 3). Script_EID_2.R is the R script analysing the data_EID2.csv screening test data file (Figures 2, 3, 5, and Suppl Figure F2, and Table 2). Script_EID_sequencing_raw.R is the R script analysing the data_EID_sequencing.csv sequencing data file (Figures 4, 5, and Suppl Figure F3).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 18 | |
| downloads | 4 |

Views provided by UsageCounts
Downloads provided by UsageCounts