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10 reasons why Covid-19 data on testing and fatalities might not be accurate

Specific areas could see much worse death rates because of their poor health care systems or due to existing chronic diseases in population.

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If you’re like me, you’ve been watching the daily data on the coronavirus pandemic, seeking glimmers of hope in the trajectories: the infected, the hospitalized, the intubated, the dead.

If only there were more understanding to be had. The more I look at the numbers, the more I see their flaws. Here are my top 10.

1. The number of infected is close to meaningless. Only people who get tested can be counted, and there still aren’t enough tests — not even close, and not in any country save perhaps Iceland. The best we can do is estimate how many people are sick by guessing what percentage of the infected can obtain a test. In the U.S., for example, anecdotal evidence suggests that people need to be ill enough to be hospitalized. About 10% of cases merit hospitalization, so the actual number of infected might be about ten times larger than what’s reported.

2. The tests aren’t accurate and the inaccuracies aren’t symmetric. In particular, they produce many more false negatives than false positives — meaning they tend to indicate that people are OK when they’re actually sick. Some research suggests that the false negative rate could exceed 30%. This means that estimates of the true number of infections should be once again inflated.

3. The number of tests doesn’t equal the number of people tested. Because the tests are so inaccurate, some people get tested twice to be more sure of the results. This means that the share of the population tested compared to the number of people found to be infected paints a rosier picture than reality, offering yet another reason to believe that the actual number of infected is higher.

4. The numbers aren’t in sync. People sometimes die weeks after being hospitalized, and they get hospitalized a week or more after testing positive for the virus. So we shouldn’t expect the “number of deaths” curve to flatten until pretty long after the “number of cases” curve does. The bright side of this lag is that, since it takes longer to recover than to die, the death rate will go down over time.

5. The meaning of hospitalization is changing. Officials have recently presented flattening hospital admissions as a positive sign. But it takes a lot more to get somebody to the hospital these days. Hotlines are jammed, ambulances are scarce, standards for who gets hospitalized have drastically changed, and people are avoiding overwhelmed emergency rooms. So fewer hospitalizations doesn’t necessarily mean that the situation is getting better.

6. Deaths aren’t reported immediately or consistently. Various operational issues, such as paper filing and notifying next of kin, determine when a death actually gets registered. This might help explain why the most deaths tend to get reported on Tuesdays. So don’t get too excited about good news on a weekend — you might be disappointed by the beginning of the week.

7. Deaths outside hospitals aren’t being reported. When people die at home or in nursing facilities, veteran homes, or prisons, they’re not always counted. This is a biggie: When France started reporting fatalities in nursing homes, their death count increased by 40%. Belgium reports nursing home deaths pretty well, and they’re finding 40% of deaths occur there.


Also read: WHO and China covered Tedros’ past — but what is worrying is how India fell for it


8. The policy for attributing deaths isn’t consistent. Once somebody is gone, why waste a valuable test? So doctors might not mention Covid-19 as a contributing cause. It’s a judgment call, especially when someone was sick already. This might have a very large effect on the data in certain environments like rehab facilities and nursing homes.

9. Officials may have incentives to hide coronavirus cases. China, Indonesia and Iran have all come under scrutiny for their statistics. “Juking the stats” is not unknown in other contexts in the U.S., either. So don’t assume that  officials are above outright manipulation.

10. What happens in one place, or on average, might not be applicable everywhere. Some small studies suggest that the Covid-19 mortality rate is about 1% of the infected population. But that doesn’t mean it will be the same in the U.S., or in New York City. Specific areas could see much worse death rates, simply because their health care systems are not as comprehensive or their populations have more chronic diseases. The U.S. has plenty of polluted areas that seem to make people more vulnerable to infection and sicker once they get sick. As we’ve seen in recent days, such disparities are disproportionately affecting people of color.

Appealing as it may be to keep count, the true numbers might not be knowable until much later. Testing needs to be done systematically, even on asymptomatic people. For deaths, precise numbers might never emerge. It’s possible to estimate using the number of unexpected deaths compared to a year earlier. But even that’s not ideal, because lockdowns might suppress other kinds of deaths — traffic accidents, for example — by forcing people to stay at home.

Don’t get me wrong: Watching the official data is not a complete waste of time and attention. The numbers can give some sense of what’s happening — as long as we recognize their flaws.-Bloomberg


Also read: More than 300 Indians have died of the coronavirus, and nearly 200 of the lockdown


 

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1 COMMENT

  1. Data is data. Whichever way you mine it, will have some substance to write about, without having actually any substance. Also deaths are not accurate, as many are not reported as they are home quarantined, not tested but still died. All the points lead to more testing, but still conclude that testing itself may not throw accurate results as the person tested may show negative now and after 4 days, he may be positive. But still will go to survive. Another person tested negative, taken ill due to other complications dies. not because of Corona. Very confusing data. Long time ago there was a CM in the state of Andhra Pradesh (united) and he died of helicopter crash. One person died of heart attack after hearing the news in TV and 2 person committed suicide at this time, attributed to YSR crash. The people committed suicide did not attribute the reason prior to death, nor there is any proof. The state govt then went on record to say that many people are admitted in hostpial due to sudden shock of YSR demise and all deaths from hospital were attributed to YSR. Somewould have died anyway even if YSR would not have died. As the state govt announced that govt will pay Rs. 25000 to all the families whose family member died due to shock of YSR death, about 500+ cases of deaths were reported and all of them claimed to have died due to shock of sudden demise of YSR.

    If govt of India announces that any family member dies due to Corona virus, the family will get Rs. 25000, and there you go India’s death rate due to Corona will skyrocket immediately. So no data or statistics will help here. Hence, Modi said one thing clear during his message on lockdown for next 3 weeks. He said, that it is your responsibility that you don’t get Corona virus and also your responsibility that you neighbor also doesnt get it and also your responsibility that no one your mohalla gets it. If no new positive cases from your Mohalla by April 20, he said he will relax lockdown in your mohalla. Otherwise, it will be severe lockdown. Good strategy to put peer pressure. It will work.

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