Actually, in their model, the team at University of Washington addressed many of the "drivers of all-cause mortality" that you brought up.
This echoes the numerous other studies that have found that the "official" counts of COVID death are under-counts.
From the study:
Our approach to estimating the excess COVID-19 death rate is based on measurement of the excess death rate during the pandemic week by week compared to what would have been expected based on past trends and seasonality. However, the total excess death rate does not equal the excess COVID-19 death rate. Excess mortality is influenced by six drivers of all-cause mortality that relate to the pandemic and the social distancing mandates that came with the pandemic. These six drivers are: a) the excess COVID-19 death rate, that is, all deaths directly related to COVID-19 infection; b) the increase in mortality due to needed health care being delayed or deferred during the pandemic; c) the increase in mortality due to increases in mental health disorders including depression, increased alcohol use, and increased opioid use; d) the reduction in mortality due to decreases in injuries because of general reductions in mobility associated with social distancing mandates; e) the reductions in mortality due to reduced transmission of other viruses, most notably influenza, respiratory syncytial virus, and measles; and f) the reductions in mortality due to some chronic conditions, such as cardiovascular disease and chronic respiratory disease, that occur when frail individuals who would have died from these conditions died earlier from COVID-19 instead. To correctly estimate the excess COVID-19 mortality, we need to take into account all six of these drivers of change in mortality that have happened since the onset of the pandemic.
Our analysis follows four key steps. First, for all locations where weekly or monthly all-cause mortality has been reported since the start of the pandemic, we estimate how much mortality increased compared to the expected death rate. In other words, we estimate excess mortality in all locations with sufficient data. Second, based on a range of studies and consideration of other evidence, we estimate the fraction of excess mortality that is from excess COVID-19 deaths as opposed to the five other drivers that influence excess mortality. Third, we build a statistical model that predicts the ratio of excess COVID-19 deaths to reported COVID-19 deaths based on covariates and spatial effects. Fourth, we use this statistical relationship to predict the ratio of excess to reported COVID-19 deaths in places without data on excess COVID-19 deaths and then multiply the reported COVID-19 deaths by this ratio to generate estimates of excess COVID-19 deaths for all locations. More details on each of these analytical steps are presented below.
This echoes the numerous other studies that have found that the "official" counts of COVID death are under-counts.
From the study:
Our approach to estimating the excess COVID-19 death rate is based on measurement of the excess death rate during the pandemic week by week compared to what would have been expected based on past trends and seasonality. However, the total excess death rate does not equal the excess COVID-19 death rate. Excess mortality is influenced by six drivers of all-cause mortality that relate to the pandemic and the social distancing mandates that came with the pandemic. These six drivers are: a) the excess COVID-19 death rate, that is, all deaths directly related to COVID-19 infection; b) the increase in mortality due to needed health care being delayed or deferred during the pandemic; c) the increase in mortality due to increases in mental health disorders including depression, increased alcohol use, and increased opioid use; d) the reduction in mortality due to decreases in injuries because of general reductions in mobility associated with social distancing mandates; e) the reductions in mortality due to reduced transmission of other viruses, most notably influenza, respiratory syncytial virus, and measles; and f) the reductions in mortality due to some chronic conditions, such as cardiovascular disease and chronic respiratory disease, that occur when frail individuals who would have died from these conditions died earlier from COVID-19 instead. To correctly estimate the excess COVID-19 mortality, we need to take into account all six of these drivers of change in mortality that have happened since the onset of the pandemic.
Our analysis follows four key steps. First, for all locations where weekly or monthly all-cause mortality has been reported since the start of the pandemic, we estimate how much mortality increased compared to the expected death rate. In other words, we estimate excess mortality in all locations with sufficient data. Second, based on a range of studies and consideration of other evidence, we estimate the fraction of excess mortality that is from excess COVID-19 deaths as opposed to the five other drivers that influence excess mortality. Third, we build a statistical model that predicts the ratio of excess COVID-19 deaths to reported COVID-19 deaths based on covariates and spatial effects. Fourth, we use this statistical relationship to predict the ratio of excess to reported COVID-19 deaths in places without data on excess COVID-19 deaths and then multiply the reported COVID-19 deaths by this ratio to generate estimates of excess COVID-19 deaths for all locations. More details on each of these analytical steps are presented below.
Hello; This seems wrong on the face of it. I get the concept. Say the average/normal number of deaths was 1,000,000 for a time period and during a matching time period the number of deaths was 1,500,000. They want to call dibs on the excess deaths and count them in the tally of their choice.
However there was much more than just the virus going on during that time frame. There were lots of home improvement jobs going on as is reflected in lumber prices. I am just getting two fingers back into action due to mishaps. I am betting some folks may have died doing risky jobs around the house.
Then there are the folks who had medical issues and skipped appointments and procedures during the pandemic. Likely some number of them died than may have lived if things had been normal.
I have heard about suicide numbers going up during the lockdowns. In a similar vein there were more domestic abuse cases reported i think. In my area there have been some things involving small children.
I also hear about about more traffic accidents.
I think we had a side discussion on the dying with Covid19 vs. dying from covid19 months ago. If I have a mild case of covid19 and fall off a ladder doing a home improvement job, then how will I be counted. I had covid19 but was feeling good enough to do some work. My guess is I will be counted as a covid19 death. Same as if I am in a car wreck and so on.
Hello; I have read the very same thing. This was walked back a bit in the media for a time. There were articles claiming the deaths will be investigated at some future time and revised. I do not know how that went as it is not in the news any more.