Tracking the COVID-19 outbreak and signals of containment

Any conclusion drawn from the data should be viewed with caution due to the dynamic nature of a pandemic and the adundant sources of bias associated with reporting. I periodically update here the COVID-19 situation in the US, Europe, and Asia, tracking both the outbreak and signals of containment. The intent of this blog is not to feed daily news, but to present perspectives worth considering when reading the news. The graphs in this blog are interactive and best viewed on a desktop browser.

Signals of Containment

The Interplay of Confirmed and Death Cases

When should the economy reopen? To try to answer this question, we could look at the interplay of new confirmed cases and death cases.

More cases means more healthcare resource demand, and doctors and nurses have to make tough decisions. Unfortunately, more patients who need intensive care might not get it, leading to higher fatalities. We are probably going to see a peak in daily cases, and after some time, a peak in daily fatalities. This phenomenon is visible in the graph below. Passing the first peak means measures are taking effect; passing the second means our healthcare system is now able to cope. So, where do countries stand as of now?

Of course, the decision has to also depend on other factors such as the ability of testing and tracking down close contacts of those infected.

There are actually many questions that we could ask from this graph. For example:

  1. Why does Germany has much higher daily confirms than Switzerland, and yet manages a much flatter death curve?
  2. Why do the two peaks for the UK seem to occur at the same time while that’s not the case for the rest?

Daily Case Percentage Change

Look out for the 7-day moving average of the day-on-day percentage change in confirmed cases. It is important to see both the current percentage change and its trend. To easily classify the situation, we can use the following scale1:

Google Search Interest

This figure tells us how many people in the US are searching for keywords such as “hand sanitizer” or “symptom”. I suspect that as the community spread of the virus is being contained, we can expect to see a drop in searches for words like “symptom” and “influenza”, similar to the trends shown in Singapore.

There are drastic differences in terms of the US and Singapore google search interests during this pandemic. When signs of community infection emerged in early March, people in the US were searching for “symptom” at a record-high frequency, similarly for “influenza” and “hand sanitizer”. Searches for “mask”, however, were not so heightened. The picture in Singapore looks very different. When more infections emerged inside the border in late January and early February, the search for “mask” shoot up rapidly, and masks went out of stock everywhere in Singapore. There are probably two main reasons for this:

  1. A high percentage of Chinese living in Singapore;
  2. As a nation that went through SARS, it feels natural for most people to wear masks when a contagion is spreading in the community.

US Testing Numbers

As the containment takes effect, we expect to see the number of positive and negative tests stabilize, and the number of tests pending result drops. As you can see, we are not there yet.

Cumulative Case Progression


Death Cases


The bottom line is, CFR is probably inflated in many countries and IFR is much lower than CFR.

Resources

Websites

  1. Bloomberg: Mapping the Coronavirus Outbreak Across the World
  2. Johns Hopkins University: Coronavirus COVID-19 Global Cases
  3. Global MediXchange: Handbook of COVID-19 Prevention and Treatment

Articles

  1. Before Virus Outbreak, a Cascade of Warnings Went Unheeded, March 19, 2020
  2. To Fight a Fast-Moving Pandemic, Get a Faster Hospital, March 26, 2020
  3. Spain, Europe’s worst-hit country after Italy, says coronavirus tests it bought from China are failing to detect positive cases, March 26, 2020
  4. Why Is Germany’s Coronavirus Death Rate So Low?, March 30, 2020
  5. This 3-D Simulation Shows Why Social Distancing Is So Important, April 14, 2020

Data sources

Footnotes

  1. The percentage only indicates a relative change. The actual number of new cases reported in each country may be very different, as it depends on the absolute number of cumulative cases in that country. 

  2. Russell, Timothy W., et al. “Estimating the infection and case fatality ratio for COVID-19 using age-adjusted data from the outbreak on the Diamond Princess cruise ship.” medRxiv (2020). 

data-analytics 

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