Showing posts with label Life expectancy. Show all posts
Showing posts with label Life expectancy. Show all posts

Monday, December 3, 2018

Assorted Links on mortality

  1. The case for monitoring life-span inequality, via José Manuel Aburto

  2. Mortality from road crashes in 193 countries: a comparison with other leading causes of death, ht Romulo Krafta

  3. The slowing pace of life expectancy gains since 1950

  4. How life expectancy in U.S. counties compares to other countries via Simon Kuestenmacher

  5. R package: mortAAR, for archeological demography. It provides functions for the analysis of archaeological mortality data See Chamberlain (2006). There is a vignette on Lifetables and an Extended Discussion

  6. R package: MortalityLaws, for downloading data from the Human Mortality Database and building parametric mortality models and life tables, by Marius Pascariu

  7. R package: MortCast, for estimating and Projecting of age-specific mortality rates, by Hana Sevcikova, Nan Li and Patrick Gerland (paper here) - via Adrian Raftery‏

  8. Beautiful Lexis-surface plot showing age and period specific mortality ratios of females and males, by Jonas Schöley (interactive version at the Human Mortality Explorer)


image credit: Jonas Schöley

Wednesday, May 31, 2017

Visualizing the concept of prospective aging with R

In two great papers published in Science and Nature, W. Sanderson and  S. Scherbov proposed a new way to understand population aging. Instead of focusing on the time people have lived, the authors take a prospective look at the number of years people are still expected to live.

This concept of "prospective aging" is nicely summarized by Ilya Kashnitsky in a blog post:
"The underlying idea is really simple – age is not static: a person aged 65 (the conventional border deliminating elderly population) today is in many aspects not the same as a person ages 65 half a century ago. Health and lifespan improved a lot in the last decades, meaning that today people generally have much more remaining years of life at the moment of being recognized as elderly by the conventional standards. Thus, Sanderson and Scherbov proposed to define elderly population based on the estimation of the expected remaining length of life rather than years lived. Such a refined view of population ageing disqualifies the alarmist claims of the approaching demographic collapse."
If you're interested in the topic, I would highly recommend reading the whole post (and the papers, of course). Ilya brings not only a nice summary of the concept, he also presents some R scripts to create animated population pyramids to visualize prospective aging.

 Ilya Kashnitsky writes a great blog and twitter about demographic research and R more broadly, and I would highly recommend following his work online.



Related Links:

Saturday, March 25, 2017

Creating an animated world map of life expectancy changes from 1950 to 2100 in R

I've created this map after a couple of hours  procrastinating  testing the gganimate package in R, which makes it ridiculously simple to create this type animation in .gif or .mp4 format.

The map shows how the life expectancy of each country has changed from 1950 to 2015 and how it is expected to increase up to 2100. It looks better in full screen, but it's still a bit clunky.


I've also created a gist that shows how you can create this map yourself:

Tuesday, February 25, 2014

A Pyramid of Life Expectancies

Marcelo Duhalde came up with this interesting way to visualize and compare the Life Expectancy at Birth of different countries (via John Metcalfe).

[click on the image to enlarge it]


[image credit: Marcelo Duhalde]


Related Links:

Tuesday, October 22, 2013

Demographic papers published on Science and Nature

It's not everyday you see demographers publishing on journals like Science and Nature. So here is a short list with some of the papers published since 2000.

ps. Massive presence of @IIASAVienna and @WiCVienna researchers!

and my two favorites:

[Image Credit: Lutz and KC, 2011]

Tuesday, September 10, 2013

Chart of the Day

A nice chart showing the change in life expectancy for 190 countries over the last 20 years (via Thomson Reuters).

Thursday, January 17, 2013

Chart of the Day

The sum of human experience.
"By the end of this century [...] the world's population will have stabilised at just over 10 billion and those people will have accumulated 430 billion years of human experience between them."

Monday, September 24, 2012

Shrinking life expectancies in the USA

The average life expectancy of least-educated whites in the U.S. is shrinking. (via MR and GS)


[image credit: NYT]
"The reasons for the decline remain unclear, but researchers offered possible explanations, including a spike in prescription drug overdoses among young whites, higher rates of smoking among less educated white women, rising obesity, and a steady increase in the number of the least educated Americans who lack health insurance."
In case you want to read the published paper.