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Posts by Castory Munishi

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💡🇹🇿 BCEPS PhD Research Fellow @castory.bsky.social (pictured speaker) taught a workshop in #Zanzibar on Friday, providing an introduction to #healtheconomics & #prioritysetting in #health, and the #FairChoices DCP Analytics Tool, to the project team in Zanzibar.
@norad.no @igs-uib.bsky.social

3 months ago 2 1 0 0
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“I’ve taken several R trainings - this is the BEST!”
📢 New courses posted! Intro to R for public health
🗓️ 40 hours part-time, synchronous, with unlimited 1-on-1 coaching and options for ALL time zones.
✏️ Register: appliedepi.org/training/pub...

1 year ago 1 3 0 0
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📢 Last week to apply for the Applied Epi scholarships!

Transition your team to R with free or discounted courses and services.

Why apply?
✔️ Full or partial scholarships
✔️ Focused on strengthening public health capacity

🗓️ Apply by Feb 10, 2025! 🌐 appliedepi.org/training/scholarships-ae

1 year ago 1 3 0 0
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🎉 R scholarship applications open on January 20!

If your team (government or nonprofit) works in applied epidemiology in a low- or middle-income country, you could get access to our Intro to R course and Support Desk! Details: appliedepi.org/training/sch...
#Rstats #epitwitter

1 year ago 7 7 0 1
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#NetZero is not enough: ratcheting ambition for #sustainable #healthsystems through Reduce and Support"— #newstudy published in @bmj.com #GlobalHealth by BCEPS Researcher (& PhD grad) Anand Bhopal & colleagues 🌍

📄 👉 Link #openaccess: gh.bmj.com/content/8/Su...

📸 Fateme Alaei

#climatechange

1 year ago 1 1 0 0
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📢 BCEPS is proud to announce a free 2-week online course on priority setting in health, led by Kjell Arne Johansson
& featuring international expert lecturers! 💥

Anyone around the world can take this course. This is a rare and valuable opportunity—please share widely! 💡

See more info below👇

1 year ago 3 3 0 0
A faceted heatmap visualization showing the ratio of domestic to international flights across nine countries from 2011 to 2019. Each country has its own panel displaying monthly patterns across years, with a diverging color scheme where purple represents more international flights and green represents more domestic flights.

Looking at the mean ratios for the entire 2011-2019 period: China shows the strongest domestic preference with 10.2 times more domestic flights, followed by the United States (6.7x) and Australia (1.7x). The other countries show more international flights: Germany and the United Kingdom both have 10 times more international flights, Greece and Sweden each have 3.3 times more international flights, while Norway and Thailand have 1.4 times more international flights. Many countries display seasonal patterns, particularly visible during Northern Hemisphere summer months.

A faceted heatmap visualization showing the ratio of domestic to international flights across nine countries from 2011 to 2019. Each country has its own panel displaying monthly patterns across years, with a diverging color scheme where purple represents more international flights and green represents more domestic flights. Looking at the mean ratios for the entire 2011-2019 period: China shows the strongest domestic preference with 10.2 times more domestic flights, followed by the United States (6.7x) and Australia (1.7x). The other countries show more international flights: Germany and the United Kingdom both have 10 times more international flights, Greece and Sweden each have 3.3 times more international flights, while Norway and Thailand have 1.4 times more international flights. Many countries display seasonal patterns, particularly visible during Northern Hemisphere summer months.

International vs domestic flights for this week's #TidyTuesday

Code: github.com/gkaramanis/t...

#RStats #dataviz

1 year ago 22 2 0 0
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Day 10: Code readability!

Are you making life harder for yourself in R? Or are you using rainbow parentheses and highlighted functions!?

Which one does your code look like?

1 year ago 9 2 1 0
28  GIS basics – The Epidemiologist R Handbook

So if you're curious about GIS or just starting with spatial epi data? Check out Chapter 28 for a deep dive into concepts, code, and examples: www.epirhandbook.com/en/new_pages...

And don’t forget to experiment with mapview. Probably the easiest map you'll ever make.

1 year ago 3 2 0 0
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Under the hood of mapview is Leaflet rstudio.github.io/leaflet/. Which is a bit more complex but a lot more powerful. In the chapter, we guide you through how to:

📂 Load spatial data
🗺️ Create static maps
🌐 Build interactive maps
📊 Perform basic spatial analyses

1 year ago 2 2 1 0

We use mapview to:

Pinpoint where our spatial data is located. 📍
Save interactive maps as HTML files to share with colleagues. 🌐
Quickly explore patterns and trends in spatial data. 🔍

GIS doesn’t have to be daunting, tools like mapview make mapping simple and accessible for everyone! 🚀

1 year ago 1 1 1 0
Interactive Viewing of Spatial Data in R Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additio...

Enter mapview! This package takes spatial objects like sf and creates an interactive map easily. r-spatial.github.io/mapview/

library(mapview)
mapview(your_sf_object)

That’s it. One line, and you’ve got a clickable, zoomable map! Try it yourself. 🖱️📍

1 year ago 1 1 1 0
28  GIS basics – The Epidemiologist R Handbook

Day 6: Today’s is Chapter 28 of the EpiR Handbook: GIS because Epis love maps! 🗺️
🌍 Learn how to make spatial data work for you: www.epirhandbook.com/en/new_pages...

But let’s make this even easier. Did you know you can create an interactive map in R with just one line of code? 🤯 Follow along 👇

1 year ago 8 4 1 0

We live, we learn

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Stop running in cycles. Just do it!

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Fame is unnatural.

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Procastination is a poison that kills success

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Focused work needs headspace

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“No matter how difficult life may seem there is always something you can do and succeed at” Stephen Hawking

Just keep pushing

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“Things are just things they don’t make you who you are” Macklemore

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Sometimes where we are boils down to one insane move

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No matter how difficult the journey may seem, don’t quit

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Play long time games

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Don’t count the number of failures, count the number of comebacks!

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Compound interest works

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Remember time is a river

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Let your work speak for you.

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Don’t pretend, be real.

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Don’t copy, be you.

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Everyday strive to make the world a better place for others.

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