On Estimating Thailand’s COVID-19 Infections and Infection Fatality Ratio (IFR)

This post records the method used to create an estimate for Thailand's Infected Cases nationally and by province, by using the IFR metric, quantities of deaths in Thailand, combined with known provincial demographics to estimate Thailand's (unreleased) COVID-19 related death ages. Infected Cases differ from actual Recorded Cases in that they offer a view on whether more cases (i.e. asymptomatic) are likely to be found. This work was sparked by Matt Greenfield and Dylan Jay's discussion. Obviously, there's too much to fit in a tweet. In the article, we go through (1) how readers can directly calculate their own estimates for Number of Infected Cases from our data, followed by (2) method taken to reach the results, then (3) discussion, limitation and conclusions. There are plenty of caveats described in this article, so take a look at these before drawing conclusions.

Thailand Province Border Adjacency Dataset/Code

A quick update post to help get my latest project's new dataset more readily indexed on Google search, etc. (Feb 8th 2021) I've recently been working on risk assessment for COVID-19 in our 2nd wave. To create an email alert per province (taking account of local regional data) I needed to join provincial data together. … Continue reading Thailand Province Border Adjacency Dataset/Code

ON MEASURING MACHINE LEARNING MODELS AGAINST CONCRETE BUSINESS OBJECTIVES

REVIEW NOTES: DATA SCIENCE FOR BUSINESS BY PROVOST & FAWCETT: CHAPTER 7 I enjoyed reading this chapter. It's insightful and well explained with detailed examples, diagrams and graphics, on a few data science topics that correspond directly to conventional scientific research in computer science. That makes me happy, because these are crucial points, yet rarely … Continue reading ON MEASURING MACHINE LEARNING MODELS AGAINST CONCRETE BUSINESS OBJECTIVES

Open Source Code for Light Stage Capture Sequences

Today I'm posting updates (1/n) to the Light Stage open source project codebase. The updates mark improvements for integrating experimental result data and 3d geometry data with light and camera-trigger hardware controllers (3). Included are two new lighting sequence improvements (1) and (2) and a way to get started, no matter your stage design and … Continue reading Open Source Code for Light Stage Capture Sequences

Update on Lightstage Project

In this post, I took the liberty to write some of my thoughts and reflections on why Lightstages are ("pretty cool in my book" and also) relevant amongst today's cutting edge developments in machine learning and data-driven decision making. Over the last few years, I've had the opportunity to work as a researcher on the … Continue reading Update on Lightstage Project

Bio-Inspired Robotics Conference – SAB2016

Back on 26th August 2016 we drew to a close SAB2016, the 14th international conference of the series on bio-inspiration for robotics and algorithms from more or less any discipline at theory stages, to simulations and empirically applied. For me, nothing can take away my reverberating proud feeling I have for being a part of … Continue reading Bio-Inspired Robotics Conference – SAB2016