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One thing to note is that the displayed format may differ from the actual value, which is always formatted yyyy-Www. When the above value is submitted to the server, for example, browsers may display it as Week 01, 2017, but the submitted value will always look like week=2017-W01.

The latest (time-wise) year and week number, in the string format discussed in the Value section above, to accept. If the value entered into the element exceeds this, the element fails constraint validation. If the value of the max attribute isn't a valid week string, then the element has no maximum value.

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The earliest year and week to accept. If the value of the element is less than this, the element fails constraint validation. If a value is specified for min that isn't a valid week string, the input has no minimum value.

For week inputs, the value of step is given in weeks, with a scaling factor of 604,800,000 (since the underlying numeric value is in milliseconds). The default value of step is 1, indicating 1week. The default stepping base is -259,200,000, which is the beginning of the first week of 1970 ("1970-W01").

Week inputs sound convenient at first glance, since they provide an easy UI for choosing weeks, and they normalize the data format sent to the server, regardless of the user's browser or locale. However, there are issues with because browser support is not guaranteed across all browsers.

By default, does not apply any validation to entered values. The UI implementations generally don't let you specify anything that isn't a valid week/year, which is helpful, but it's still possible to submit with the field empty, and you might want to restrict the range of choosable weeks.

You can use the min and max attributes to restrict the valid weeks that can be chosen by the user. In the following example we are setting a minimum value of Week 01, 2017 and a maximum value of Week 52, 2017:

Mobile platforms such as Android and iOS make perfect use of such input types, providing specialist UI controls that make it really easy to select values in a touchscreen environment. For example, the week picker on Chrome for Android looks like this:

The second problem is the more serious. As mentioned earlier, with a week input the actual value is always normalized to the format yyyy-Www. When the browser falls back to a generic text input, there's nothing to guide the user toward correctly formatting the input (and it's certainly not intuitive). There are multiple ways in which people could write week values; for example:

The best way to deal with week/years in forms in a cross-browser way at the moment is to get the user to enter the week number and year in separate controls ( elements being popular; see below for an example), or use JavaScript libraries such as jQuery date picker.

In this example we create two sets of UI elements for choosing weeks: a native picker created using , and a set of two elements for choosing weeks/years in older browsers that don't support the week input type.

The other part of the code that may be of interest is the feature detection code. To detect whether the browser supports , we create a new element, try setting its type to week, then immediately check what its type is set to. Non-supporting browsers will return text, because the week type falls back to type text. If is not supported, we hide the native picker and show the fallback picker UI (s) instead.

This website is maintained and updated by the Banned Books Week Coordinator and the ALA Office for Intellectual Freedom in partnership with the Banned Books Week Coalition. For questions concerning the website, please e-mail coordinator@bannedbooksweek.org

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Nationwide during Week 51, 6.1% of patient visits reported through ILINet were due to respiratory illness that included fever plus a cough or sore throat, also referred to as ILI. This has increased compared to Week 50 and has remained above the national baseline of 2.9% since Week 44. All regions are above their region-specific baselines this week. Multiple respiratory viruses are co-circulating, and the relative contribution of influenza virus infection to ILI varies by location.

About 70% of ILINet participants provide both the number of patient visits for respiratory illness and the total number of patient visits for the week broken out by age group. Data from this subset of providers are used to calculate the percentages of patient visits for respiratory illness by age group.

The Influenza Hospitalization Surveillance Network (FluSurv-NET) conducts population-based surveillance for laboratory-confirmed influenza-related hospitalizations in select counties in 14 states and represents approximately 9% of the U.S. population. FluSurv-NET hospitalization data are preliminary. As data are received each week, prior case counts and rates are updated accordingly.

The weekly hospitalization rate observed during Week 51 was 2.8 per 100,000 population. The overall cumulative hospitalization rate was 15.4 per 100,000 population. This cumulative hospitalization rate is the second highest cumulative in-season hospitalization rate observed during Week 51, following the 2022-2023 season (44.3). Cumulative in-season hospitalization rates observed during Week 51 from 2010-2011 through 2021-2022 ranged from 0.3 to 9.7.

In this figure, cumulative rates for all seasons prior to the 2023-2024 season reflect end-of-season rates. For the 2023-2024 season, rates for recent hospitals admissions are subject to reporting delays. As hospitalization data are reviewed each week, prior case counts and rates are updated accordingly.

In this figure, weekly rates for all seasons prior to the 2023-24 season reflect end-of-season rates. For the 2023-24 season, rates for recent hospital admissions are subject to reporting delays and are shown as a dashed line for the current season. As hospitalization data are received each week, prior case counts and rates are updated accordingly.

Hospitals report to NHSN the weekly number of patients admitted with laboratory-confirmed influenza. During Week 51, 14,732 patients with laboratory-confirmed influenza were admitted to a hospital. The number of patients admitted to a hospital with laboratory-confirmed influenza for Week 51 increased compared to Week 50 (change of >5%) nationally and in all the 10 HHS Regions. 17dc91bb1f