This tip first introduced by @JanKabatek was life changing. Don't load massive datasets. Stata can read the variable list without making your memory scream. You can then decide what you want to load.
What can be done about #COVID19 in #Pakistan? After having worked on this country esp. #Punjab for the past 15 years, let's start with what we KNOW from a data perspective GIVEN there is little testing and little enforcement and just the size of the country of 220 million 1/n...
Taking a composite of satellite images, latest census, and cell phone data, and using machine learning we now know exactly what the population landscape looks like. Its highly complex. My home town, Lahore, seen as the large red color, is just 12 million alone 2/n...
This information can be coded into distinct settlements and mapped onto censuses to get a more accurate picture of population distributions and education structures. This has already been achieved via brute force matching, statistical matching, and machine learning...3/n...
#COVID19 in #Europe thread. Below we see the trends for reported cases and deaths per 1,000,000 pop (pop normalization is imp for comparison). Belgium, France, UK, Sweden, Ireland have started showing exponential growth 1/n.... @IIASAVienna@DianaUrge@IIASA_Library
If we look at the reported cases and deaths for each country, again normalized by population, then one can see the south to north wave. Northern countries are still behind the curve and could see rises in the next few days. see next graph for doubling time... 2/n...
If we sort the countries by doubling time of reported cases / 1m pop relative to past 10 days, then Austria is the clear winner here. Slowing down reported cases is not the same as slowing down deaths. Countries under 10 days are at critical points. 3/n.@DianaUrge@IIASAVienna