502 New COVID-19 Cases
DHS reported no COVID-19 deaths.
COVID-19. Credit: U.S. Army.
The Wisconsin Department of Health Services reported 502 new COVID-19 cases Thursday from 4,195 processed tests.
The seven-day case total stands at 2,544, below November 18th’s record report of 45,946 and its lowest point since June 26th. The seven-day testing total stands at 22,047, below November 18th’s record rolling total of 133,019 tests.
The testing total is filtered to only include individuals who were tested for the first time or have been tested previously but are receiving their first positive diagnosis.
Officials have looked for the positive case rate to trend downward to indicate a slowing spread of disease and sufficient testing.
The Wisconsin Hospital Association reported that 258 people were actively hospitalized with a confirmed case of the disease, an increase of 24 from the day prior and a decrease of 4 from a week ago. Thirty days ago the total was 525.
The state reported 40 people were newly hospitalized in the past 24 hours in its daily data release. A total of 26,670 people have required hospitalization since the outbreak began, 340 in the past week.
DHS reported no new deaths. A total of 6,524 Wisconsin residents have died as a result of the virus, including 1,251 in Milwaukee County.
The 30-day average daily death total now stands at 14.33, below the December 23rd reported record of 53.43. Thirty days ago the rolling average was 31.23.
Menominee County has recorded 18,142.4 cases per 100,000 residents (unchanged). Dodge County has recorded 12,878.2 cases per 100,000 residents (up from 12,871.5). Jackson, Barron, Brown, Trempealeau, Fond du Lac, Kewaunee, Sheboygan, Oconto, Shawano, Juneau, Chippewa, Pepin, Eau Claire, Calumet, Outagamie and Racine are the remaining counties leading Milwaukee.
According to DHS data, 10,467.7 out of every 100,000 Milwaukee County residents have tested positive for COVID-19 since the outbreak began (up from 10,462.4).
The statewide average of cases per 100,000 residents rose to 9,831.3 (up from 9,822.6).
Data from DHS
Data from DHS
Cases and deaths by county
| Number of confirmed cases | Number of negatives* | Number of probable cases | Number of deaths † | Number of probable deaths ‡ | Cases per 100,000 people (counties) | Deaths per 100,000 people (counties) | Case fatality percentage †† | |
| Adams | 1,597 | 7,859 | 163 | 10 | 5 | 7,792.1 | 48.8 | 0.6% |
| Ashland | 1,179 | 6,840 | 72 | 16 | 0 | 7,432.4 | 100.9 | 1.4% |
| Barron | 5,450 | 18,972 | 156 | 76 | 0 | 11,878.8 | 165.6 | 1.4% |
| Bayfield | 1,060 | 6,740 | 85 | 19 | 0 | 6,971.8 | 125.0 | 1.8% |
| Brown | 30,358 | 128,429 | 2,722 | 225 | 33 | 11,661.4 | 86.4 | 0.7% |
| Buffalo | 1,322 | 5,263 | 33 | 7 | 0 | 9,786.1 | 51.8 | 0.5% |
| Burnett | 1,212 | 6,053 | 140 | 23 | 0 | 7,846.2 | 148.9 | 1.9% |
| Calumet | 5,503 | 20,836 | 581 | 43 | 4 | 10,690.4 | 83.5 | 0.8% |
| Chippewa | 7,101 | 28,742 | 181 | 93 | 2 | 11,057.3 | 144.8 | 1.3% |
| Clark | 3,160 | 10,505 | 392 | 59 | 4 | 9,095.9 | 169.8 | 1.9% |
| Columbia | 5,089 | 26,757 | 378 | 54 | 12 | 8,908.1 | 94.5 | 1.1% |
| Crawford | 1,667 | 7,419 | 52 | 17 | 0 | 10,069.5 | 102.7 | 1.0% |
| Dane | 41,136 | 325,086 | 1,574 | 280 | 23 | 7,783.6 | 53.0 | 0.7% |
| Dodge | 11,488 | 40,542 | 788 | 158 | 22 | 12,878.2 | 177.1 | 1.4% |
| Door | 2,434 | 13,893 | 201 | 20 | 5 | 8,677.1 | 71.3 | 0.8% |
| Douglas | 3,665 | 18,611 | 610 | 28 | 16 | 8,353.5 | 63.8 | 0.8% |
| Dunn | 4,292 | 18,394 | 348 | 30 | 0 | 9,585.3 | 67.0 | 0.7% |
| Eau Claire | 11,084 | 48,876 | 345 | 105 | 11 | 10,772.4 | 102.0 | 0.9% |
| Florence | 422 | 1,591 | 47 | 12 | 0 | 9,545.4 | 271.4 | 2.8% |
| Fond du Lac | 11,984 | 44,353 | 1,160 | 98 | 8 | 11,593.0 | 94.8 | 0.8% |
| Forest | 928 | 4,212 | 71 | 23 | 3 | 10,106.7 | 250.5 | 2.5% |
| Grant | 4,683 | 22,963 | 695 | 82 | 5 | 8,941.5 | 156.6 | 1.8% |
| Green | 3,225 | 16,449 | 108 | 17 | 6 | 8,748.4 | 46.1 | 0.5% |
| Green Lake | 1,524 | 7,654 | 429 | 18 | 3 | 7,984.1 | 94.3 | 1.2% |
| Iowa | 1,897 | 10,904 | 88 | 10 | 1 | 7,970.9 | 42.0 | 0.5% |
| Iron | 555 | 2,519 | 119 | 21 | 19 | 9,496.9 | 359.3 | 3.8% |
| Jackson | 2,583 | 9,279 | 43 | 27 | 0 | 12,512.1 | 130.8 | 1.0% |
| Jefferson | 7,945 | 35,243 | 972 | 110 | 16 | 9,382.9 | 129.9 | 1.4% |
| Juneau | 3,009 | 14,454 | 104 | 19 | 1 | 11,182.5 | 70.6 | 0.6% |
| Kenosha | 14,863 | 72,115 | 2,285 | 301 | 15 | 8,834.9 | 178.9 | 2.0% |
| Kewaunee | 2,392 | 7,283 | 204 | 26 | 4 | 11,586.9 | 125.9 | 1.1% |
| La Crosse | 12,278 | 53,755 | 740 | 80 | 0 | 10,375.8 | 67.6 | 0.7% |
| Lafayette | 1,473 | 6,404 | 154 | 6 | 1 | 8,724.8 | 35.5 | 0.4% |
| Langlade | 1,938 | 6,952 | 158 | 32 | 12 | 9,799.3 | 161.8 | 1.7% |
| Lincoln | 2,919 | 10,526 | 193 | 58 | 17 | 10,263.0 | 203.9 | 2.0% |
| Manitowoc | 7,281 | 29,872 | 1,146 | 66 | 17 | 9,072.4 | 82.2 | 0.9% |
| Marathon | 13,723 | 50,026 | 1,427 | 182 | 34 | 10,184.7 | 135.1 | 1.3% |
| Marinette | 3,981 | 18,225 | 403 | 63 | 3 | 9,724.5 | 153.9 | 1.6% |
| Marquette | 1,316 | 6,056 | 181 | 21 | 5 | 8,557.7 | 136.6 | 1.6% |
| Menominee | 795 | 3,720 | 2 | 11 | 0 | 18,142.4 | 251.0 | 1.4% |
| Milwaukee | 98,865 | 461,745 | 9,128 | 1,250 | 41 | 10,467.7 | 132.3 | 1.3% |
| Monroe | 4,346 | 18,537 | 94 | 34 | 1 | 9,448.2 | 73.9 | 0.8% |
| Oconto | 4,297 | 16,580 | 453 | 48 | 7 | 11,319.2 | 126.4 | 1.1% |
| Oneida | 3,429 | 14,744 | 141 | 69 | 4 | 9,548.1 | 192.1 | 2.0% |
| Outagamie | 19,498 | 84,848 | 2,468 | 197 | 12 | 10,608.3 | 107.2 | 1.0% |
| Ozaukee | 7,692 | 40,387 | 922 | 80 | 6 | 8,705.3 | 90.5 | 1.0% |
| Pepin | 807 | 3,024 | 23 | 7 | 0 | 10,981.1 | 95.3 | 0.9% |
| Pierce | 3,517 | 16,340 | 893 | 33 | 6 | 8,447.2 | 79.3 | 0.9% |
| Polk | 3,990 | 18,913 | 74 | 46 | 1 | 9,088.8 | 104.8 | 1.2% |
| Portage | 6,516 | 26,448 | 528 | 64 | 3 | 9,213.9 | 90.5 | 1.0% |
| Price | 1,174 | 5,449 | 97 | 7 | 0 | 8,502.3 | 50.7 | 0.6% |
| Racine | 20,439 | 97,805 | 2,672 | 325 | 30 | 10,470.6 | 166.5 | 1.6% |
| Richland | 1,294 | 7,980 | 34 | 15 | 0 | 7,305.8 | 84.7 | 1.2% |
| Rock | 14,532 | 73,459 | 1,538 | 162 | 14 | 9,067.5 | 101.1 | 1.1% |
| Rusk | 1,269 | 4,911 | 40 | 16 | 1 | 8,731.3 | 110.1 | 1.3% |
| Sauk | 5,350 | 34,573 | 253 | 43 | 6 | 8,534.6 | 68.6 | 0.8% |
| Sawyer | 1,538 | 8,215 | 37 | 22 | 0 | 9,282.4 | 132.8 | 1.4% |
| Shawano | 4,614 | 17,027 | 508 | 70 | 11 | 11,182.7 | 169.7 | 1.5% |
| Sheboygan | 13,024 | 46,482 | 783 | 133 | 9 | 11,373.2 | 116.1 | 1.0% |
| St. Croix | 6,492 | 34,921 | 1,615 | 44 | 4 | 7,363.1 | 49.9 | 0.7% |
| Taylor | 1,772 | 5,789 | 247 | 21 | 9 | 8,610.3 | 102.0 | 1.2% |
| Trempealeau | 3,413 | 11,948 | 95 | 37 | 3 | 11,635.8 | 126.1 | 1.1% |
| Vernon | 1,850 | 12,493 | 64 | 38 | 3 | 6,108.2 | 125.5 | 2.1% |
| Vilas | 2,167 | 8,664 | 125 | 38 | 2 | 10,006.5 | 175.5 | 1.8% |
| Walworth | 8,908 | 40,719 | 2,431 | 130 | 20 | 8,681.0 | 126.7 | 1.5% |
| Washburn | 1,311 | 6,412 | 72 | 18 | 2 | 8,269.7 | 113.5 | 1.4% |
| Washington | 13,890 | 53,036 | 1,796 | 137 | 9 | 10,328.2 | 101.9 | 1.0% |
| Waukesha | 41,078 | 170,974 | 4,244 | 489 | 45 | 10,304.5 | 122.7 | 1.2% |
| Waupaca | 4,762 | 20,204 | 973 | 113 | 43 | 9,205.3 | 218.4 | 2.4% |
| Waushara | 2,114 | 10,697 | 301 | 32 | 3 | 8,700.3 | 131.7 | 1.5% |
| Winnebago | 17,193 | 80,188 | 2,773 | 184 | 21 | 10,152.7 | 108.7 | 1.1% |
| Wood | 6,700 | 30,767 | 477 | 76 | 13 | 9,050.9 | 102.7 | 1.1% |
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At some point these daily covid-19 updates would be useful if you stopped calculating your own analysis of the daily WI CDC testing data, ……and instead begin providing information/analysis specifically related to the City of MKE “gating criteria” that impact most of your likely readers/paying subscribers.
As a longtime PAYING subscriber, I would APPRECIATE and would rather read daily updates reflective of the “gating criteria” data that the City of Milwaukee is currently using to make their decisions to “re-open” our city.
Analysis & insightful reporting of that would be worth paying for, as it impacts us subscribers that are residents of this city.
Is there a specific reason, that UrbanMilwaukeee does not include the “gating criteria” data in the daily update?
I would appreciate if UrbanMilwaukee would specifically inquire & report more about the city’s “gating criteria” dependent upon “PPE supplies for 3 of our 5 healthcare systems”. This specific hurdle is unmeasurable (because the city has not provided any quantifiable items in this category to actually measure!!) & seems to be someone’s opinion of what is considered “adequate”. ….. I’d like to be wrong on this PPE thing, however there’s a strange lack of transparency to this specific “gating criteria” item?
Lastly….. if UrbanMilwaukee is going to continue providing it’s own calculation & analysis of what the WI CDC daily testing data means, at a minimum could you also provide a useful explanation of why your analysis is more relevant to us subscribers vs the WI CDC, MKE County, and City of MKE analysis of the same daily data.
Thank you & I’m glad to support the site.
@Wardt01 – You raise a good question on the gating criteria.
At the highest level, the reason we don’t include the local data is that it isn’t directly available and that the gating criteria themselves from the city are only updated once per week.
The underlying data on PPE is pulled from the same data source that powers the county dashboard, but the dataset isn’t available to the public (it is in a state electronic records system). The Wisconsin Hospital Association dashboard produces the most insight into whatever the underlying data is. https://www.wha.org/COVID19Update
We would love to make the report more localized, but we can’t get at the data to do so. Sometimes certain key figures are announced, but not in a consistent manner like the data available from WI DHS.
All that said, I do think it makes sense that we add the city’s latest gating criteria update to the piece, even if it’s only updated once per week. We intend to continue to produce an article based on the once-a-week Milwaukee County epidemiological report as well.
As for the analysis in the daily article itself, our goal is to produce consistent, reliable context around the numbers the state is releasing daily. We don’t envision it as a replacement for the other data sources, but instead a tool to get a quick snapshot of how things are trending. The tables you see in the report are directly from the WI DHS dashboard. This approach was particularly useful half a year ago as a benchmarking tool for Milwaukee when the spread of the disease was uneven across the state. The county had the worst spread, then it didn’t, then it did again, and then a massive statewide surge happened that sent Milwaukee tumbling down the rankings. As hospital capacity waned or testing was restricted, we were able to augment with updates on those topics.
Now that things are more stable, and appear to be declining, that type of analysis is a lot less valuable from a daily news standpoint. DHS has also quit producing some of the charts we were able to include in the article previously. We previously included maps from the county as well on new cases, but those were dropped from its dashboard or became a big amorphous blob when the case volume became too high.
Thanks for the suggestion on the gating criteria. I think that’s a great pathway to add more local context, even if it will be frozen for a week at a time.
And we added the gating info to the latest daily https://urbanmilwaukee.com/2021/03/12/wi-daily-550-new-covid-19-cases/
This will update each Friday