As US #covid19 case rates continue to climb for the second straight week, one metric to monitor is the horizontal line that intersects the current case rate (7-day moving average), as well as previous dates on which this horizontal line has intersected the case rate curve. For example, the US case rate for June 18 (i.e., the 7-day moving average of June 15 to June 21) is 26,546, and is roughly equivalent to the 26,800 cases observed on May 4 (when cases were increasing) and the 26,770 cases observed on April 1 (when cases were decreasing). Although the slope (i.e., case rate acceleration) is less steep/severe now than on April 1, it is nevertheless troubling that we're again experiencing these high case rates several months into the #pandemic —after the benefit of increased public health awareness, health policy implementation, quarantine, social distancing, and during a month (June) not typically associated with flu season. #staysafeandhealthy #coronavirus #covidusa #johnshopkinsuniversity #data #dataanalytics #datavisualization #python #matplotlib
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Encouraging to see that the number of states having reached their highest-ever #covid19 case rate (7-day moving average in the past week) has continued to decrease during the past three weeks, and is now "only" eight states, according to #johnshopkinsuniversity #data. States reaching their maximum case rates (7-day moving average) between July 27 and August 2 (one indication that they are not bending the curve, or have only begun bending the curve) include the following: #hawaii - 128 cases per day on August 2 #alaska - 114 cases per day on July 29 #oregon - 388 cases per day on July 29 #montana - 132 cases per day on July 28 #oklahoma - 1,110 cases per day on July 27 #missouri - 1,583 cases per day on July 27 #tennessee - 2,484 cases per day on July 29 #mississippi - 1,361 cases per day on July 27 #covid19usa #coronavirus #coronavirususa #dataanalytics #datavisualization #pandemic #python
#minnesota and #colorado just became the latest two states to surpass their previous #covid19 case rate all-time highs, undoing weeks of progress combating the #pandemic, according to #johnshopkinsuniversity data. Minnesota had previously peaked on May 22, with a case rate 7-day moving average of 706, and had subsequently bent the curve by decreasing its case rate 55% to 319 on June 16. Minnesota's July 23 case rate 7-day moving average (incorporating raw case rates from July 20 to July 26) is now 707. Colorado had previously peaked on April 24, with a case rate 7-day moving average of 593, and had subsequently bent the curve by decreasing its case rate 74% to 156 on June 13. Colorado's July 23 case rate 7-day moving average is now 599. #covidusa #coronavirus #coronavirususa #data #datavisualization #dataanalytics #python
Many #coronavirus headlines in the past 24 hours captured the grim milestone of cumulative #california #covid19 cases (421,286) surpassing #newyorkstate (408,886), according to #johnshopkinsuniversity case totals. And although New York has bent the curve while California has had steadily increasing case rates for five months, state populations must also be considered. Thus, while California fails to bend the curve, its per capita cumulative case totals are roughly half (50.7%) of New York. However, this ratio will continue to increase, as California is adding more than 11,000 cases per day whereas New York is adding fewer than 700 cases. This figure graphs cumulative cases by million state residents and shows the seven states with the highest per capita case totals. It also highlights the headline that has garnered far less media attention, that #louisiana today surpassed New York as having the highest per capita case totals in the nation. #arizona has already surpassed #newjersey and will pass New York in the next day or two, further demonstrating the shift of the #pandemic epicenter from the Northeast to the South and Southwest. #staysafeandhealthy #covidusa #coronavirususa #dataanalytics #data #datavisualization #python #matplotlib #geopandas
On June 1, I posted (https://lnkd.in/gYxtJtV) about seven states that had hit all-time #covid19 case rate highs over the weekend: #california, #texas, #arizona, #wisconsin, #mississippi, #southcarolina, and #utah. I additionally included #alaska, which had nearly hit its previous high, according to #johnshopkinsuniversity data. Now six weeks later, case rates in all eight states continue to rise (as evaluated as the percent increase in case rate 7-day moving average from May 28 to July 9), ranging from Wisconsin (55%) to Texas (671%). Daily case rates during these six weeks are shown in red and demonstrate these states' (among others) continued failure to contain the #pandemic. #coronavirus #coronavirususa #covidusa #data #dataanalytics #datavisualization #python #matplotlib
Despite a narrative being pushed by some officials that the "US COVID-19 death rate is decreasing," the #covid19 death rate is INCREASING in many states and counties, including #california, #texas, #florida, and #arizona. These four states (which include the three most populous states) not only have increasing death rates but also are experiencing their peak death rates, as reported by #johnshopkinsuniversity and measured by the 7-day moving average. This figure highlights both current death rate peaks (i.e., maxima) and previous death rate peaks (i.e., local maxima) for these states, where local maxima are defined as the highest death rate within a 29-day moving window. Other states and DC appear in gray. Let's turn this around before the effects of the #pandemic worsen. #covidusa #coronavirus #data #dataanalytics #datavisualization #stayathomesavelives #python #matplotlib
Three states ( #arizona, #louisiana, and #districtofcolumbia) have reached equivalent per capita #covid19 cumulative case totals through very different case rate growth patterns, illustrating the diversity in how the #pandemic has affected (and is affecting) different geographic regions. As of June 8 #johnshopkinsuniversity data, Louisiana had 15,090 total cases per million residents, DC had 15,079 total cases per million residents, and Arizona had 14,922 cases per million residents. Yet the trendlines tell three very different stories. Arizona cases climbed steadily but slowly until the end of May when case rates accelerated, and the state now has the fastest increasing case rate in the nation, as evidenced by the steepness of the light purple line. Louisiana peaked on April 4, with a case rate 7-day moving average of 339 cases per million residents, successfully reduced this case rate by two-thirds for two months, but has again had steadily increasing case rates in June, as shown by the blue line. Finally, of these three, DC shows the only success at "bending the curve," having peaked on May 3 with a case rate 7-day moving average of 274 cases per million residents, and the gradually sloping dark purple line. #coronavirus #covidusa #data #dataanalytics #datavisualization
The #covid19 per capita case rates (7-day moving averages) for #arizona and #florida sadly have now caught up with the all-time high case rates for #newyorkstate and #newjersey, respectively, set on April 7th and 4th. Despite having had three additional months to plan and prepare for their #pandemic responses, these states are failing to curb the #coronavirus. Additionally, #louisiana, which had also peaked on April 4th, has been experiencing an alarming resurgence and is steadily climbing toward its previous all-time high. These grim milestones are undeniably frightening; however, it should be noted that all peaks are not equivalent, even when they are numerically similar. In a previous post (https://lnkd.in/eUj-4gZ), I describe some factors that can cause peaks (especially those early in the pandemic) to shift. Moreover, COVID-19 demographics differ over time, such as the recent trend toward younger positive cases. Despite these and other threats to data quality, Arizona, Florida, Louisiana, and numerous other states continue to fail to bend the curve toward containment and eradication. #stayathomesavelives #johnshopkinsuniversity #covidusa #data #dataanalytics #datavisualization #python
In the #covid19 #pandemic, only 11 states have continued to "bend the curve" by consistently reducing their daily case rates, as measured by the 7-day moving average. These states include #connecticut, #washingtondc, #massachusetts, #maryland, #nebraska, #newhampshire, #newjersey, #newyorkstate, #rhodeisland, #southdakota, and #virginia. Yet the rate of decrease is stalling in these few states, as shown by the thick green line, with the cumulative moving average having fallen only from 2,651 to 2,503 during the two-week period from June 16 to June 29. This decelerating rate contrasts sharply with the rapidly accelerating cumulative case rate of the remaining states (thick red line), all of which have observed either a case rate all-time high or a case rate local maximum within the past week (excepting Vermont, which experienced a local maximum of 15 cases on June 7). #johnshopkinsuniversity #data #dataanalytics #datavisualization #coronavirius #covidusa
#arizona just overtook #newjersey as the second highest #covid19 per capita daily case rate (7-day moving average), with only #newyorkstate having achieved a worse per capita peak case rate during the #pandemic. Arizona's case rate has been steadily increasing throughout the pandemic and hit a new peak moving average of 3,047 cases on June 25 (incorporating #johnshopkinsuniversity case data from June 22 to 28). Arizona's June 25 per capita case rate of 418.6 cases per million residents surpasses New Jersey's maximum per capita case rate of 413.7 cases per million residents set on April 4. But New Jersey plateaued rather than peaked, with 17 consecutive days of case rate moving averages above 3,300 cases. Arizona will hopefully take proactive steps to prevent not only its skyrocketing case rate but also the plateau and prolonged recovery that some states unfortunately experienced. Arizona and New Jersey are highlighted in yellow and orange, respectively. In addition to Arizona, 19 states have experienced peak case rate moving averages in the past week; these trendlines appear red. #coronoavirus #covid19usa #stayhomestayhealthy #data #dataanalytics #datavisualization #python
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