# History of epidemics

### Historic of epidemics of influenza-like illness

Click on an period to highlight the corresponding period in the other graphs

Measure | Minimum | Maximum | Mean |
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(1) : Rounded to the nearest 1000 (2) : Rounded to the nearest 10 |

Winter Season | Epidemic animation | Begin(Week) | End(Week) | Duration(Weeks) | Peak(Week) | Number of cases at the peak (rate per 100,000 inhabitants) | Estimated weekly incidence (Number of cases) | Estimated weekly incidence rate (rate per 100,000 inhabitants) | Main virus |
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### Historic of seasons of acute diarrhea

Click on an period to highlight the corresponding period in the other graphs

Measure | Minimum | Maximum | Mean |
---|---|---|---|

(1) : Rounded to the nearest 1000 (2) : Rounded to the nearest 10 |

Winter Season | Epidemic animation | Begin(Week) | End(Week) | Duration(Weeks) | Peak(Week) | Number of cases at the peak (rate per 100,000 inhabitants) | Estimated weekly incidence (Number of cases) | Estimated weekly incidence rate (rate per 100,000 inhabitants) |
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### Historic of epidemics of acute diarrhea

Click on an period to highlight the corresponding period in the other graphs

Measure | Minimum | Maximum | Mean |
---|---|---|---|

(1) : Rounded to the nearest 1000 (2) : Rounded to the nearest 10 |

Winter Season | Epidemic animation | Begin(Week) | End(Week) | Duration(Weeks) | Peak(Week) | Number of cases at the peak (rate per 100,000 inhabitants) | Estimated weekly incidence (Number of cases) | Estimated weekly incidence rate (rate per 100,000 inhabitants) |
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This graph shows the weekly incidence rate for each recentered year. We use a recentered year here because the phenonemons of interest are mainly occuring during the winter, the civil year is not accurate to represents such data. The year is recentered on new starting week instead of the first week of the civil year. We use for example the 33rd week of the civil year, which is close to the start of august for all civil years. Each recentered year starts from this new starting week (number 33) of one civil year and ends in the previous week number on the next civil year - 32nd in the example). Weeks are renumbered from the first week of this new year definition (0=first week of the recentered year). Each curve shows the data of one recentered year, its color is shaded by the number of year from the last available (the darker the more recent). On the upper side of the graph, the start of each month (computed using the calendar of the last available year) is indicated. This graph represents curves using a perspective layout add an horizontal and/or a vertical offset to the curves. In this case, the axes are only valid for the curve of the last year. To compare curves with the same axes set vertical and horizontal offset to zero.

Inspired from the work of Peter Cook, at https://charts.animateddata.co.uk/uktemperaturelines/

Inspired from the work of Peter Cook, at https://charts.animateddata.co.uk/uktemperaturelines/

Années

This graph represents the weekly incidence rate (cases per 100,000 inhabitants) of visits to GP since the start of the network'surveillance. Epidemic periods are reprensented by a shaded red rectangular area

Details of weekly incidence rates during the {{type_periode}}

First epidemic week

Last week of the {{type_periode}}

Duration of the {{type_periode}} (in weeks)

Week when the maximun number of cases was reported

Number of influenza cases estimated from the number of cases of influenza-like illness reported by Sentinelles physicians throughout the {{type_periode}}

Number of influenza cases per 100,000 inhabitants estimated from the number of cases of influenza-like illness reported by Sentinelles physicians throughout the {{type_periode}}

Number of cases reported per 100,000 inhabitants estimated from the number of reported cases throughout the peak week

Type and sub-types (dominant or co-dominant) circulating during the winter season. From GROG and Influenza Reference Laboratory using historical reports, Weekly epidemiological report and Flunet Data. These informitions are based on variable sample size (especially before 1991) and could use different virological detection technics. More over, definition used for dominant & co-dominant are not well standardized. These data are show for information purpose only, reusing them should be done with attention to the scientific purpose.

Incidence rates from the start of the surveillance

Incidence rate for each recentered year

Distribution of main characteristics of {{type_periode}}

Age-group specific incidence

This graph shows age-structure of each {{type_periode}}. Each bar represents one {{type_periode}}, the coloured area indicates the part of each age-group (according to the legend on the right). The x-axis indicate the year in which the {{type_periode}} starts. Several tabs are available allowing to show the age structure using different kinds of indicators :

**Incidence rate**is the age-specific incidence for each age group (standardized by age-group population). Be aware the height of a bar doesn't respresent the total incidence.**Proportion**is the proportion of total cases in each age group (computed from the estimated age-specific incidence for each age-group

Distribution of {{type_periode}} characteristics (one point correspond to one {{type_periode}}). Boxplot shows the main statistics computed from the set of {{type_periodes}}, the upper and the lower line indicates resp. min and max value, and the lower and the upper bound of the box respectively the 1st and 3rd quartile. Points are placed along the season starting (oldest on the left)

Delay from the start of the season

Month of starting

Month

Duration

Weeks