Data vs Bugzilla

  • Daily stats usually provide the number of new infections etc. Would finer data granularity improve public awareness and buy-ins? Eg, what are the most common modes of transmission: at factories, offices, markets, dining, transport, social visits?
  • Rehearsal of stricter measures may be needed to cater for the possibility of the emergence of more virulent strains or new types of bugs (in the 1918 pandemic, a subsequent mutant strain was the devastator).
  • Research indicates eateries are a risk factor [1]. Eateries might need to prepare for dine-in being put on hold for extended periods and transition to food delivery (which still has room for innovation: selection, curation, delivery etc). In a previous post, we cited an eatery owner who delivered food in his limo. Between the first and second lockdowns, he transitioned to subscription meals.
  • In battling bugzilla, everyone counts, it is a test of discipline of a society or country. Going out to for work and errands, we noticed even as bugzilla attacks are getting stronger, some folks are not getting a sense of danger eg. improperly worn masks, tattered QR codes. More messaging and enforcement could be needed.
  • A recent viral social media thread showed face masks whose strings are detached easily or are made of skimpy materials. Masks come in many different anonymous brands, indicating they are dumped into the market with, surprisingly, no manufacturer or reseller willing to develop reputable brands out of them.
  • Commonsense counts, ahead of proven science. We noticed the lifts of some high rises have increased their fan airflow. That's because lifts can potentially be 3C: confined, close quarters and congested. Ventilation is important, bugzilla or otherwise. Keep safe & chin up.