Harmonize Vaccination

Data challenge

Data on vaccination coverage is very heterogeneous and one needs to create API to make the bridges between different datasets.

https://data.unicef.org/topic/child-health/immunization/#data

Data source

The project Harmonize vaccination thanks Robert Manigat for providing the link to the resources from who.int, where you can download the data (csv and other formats) on different types of vaccination.

World health organisation has the data on immunisation across different countries in (1980-2018)

http://apps.who.int/gho/data/view.main.80200?lang=en

Example from the data

Research questions

Is there correlation of the vaccination coverage and density of population in rural area? How different denominators for vaccination are calculated? Were there any changes in it after SDG formulation?

Our idea and algorithm for vaccination harmonisation

Create naming convention, e.g. parameters: dataset names, country names, density,Load dataset on vaccination coverage and additional parametersChange names of entities (to harmonize the content) using APICreate common visualisation tool for the vaccination coverage

Existing literature and other datasets

Data on MMR vaccination coverage from public health France

https://www.santepubliquefrance.fr/maladies-et-traumatismes/maladies-a-prevention-vaccinale/rougeole/donnees/#tabs

Publications on vaccine hesitancy 

https://arxiv.org/abs/1909.08311

https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2019.24.25.1900053

https://www.sciencedirect.com/science/article/pii/S0264410X14017198

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002199

Plots for Kenya Vaccination coverage by density

Data on vaccination coverage from WHO, UNICEF, WOrld Bank, etc. is very heterogeneous in nature. One needs to create an API to make the bridges between different datasets.

The project is finished with the updated list of references and links to datasets.

Data on vaccination coverage is very heterogeneous and one needs to create API to make the bridges between different datasets as one can see also from the data

https://data.unicef.org/topic/child-health/immunization/#data

Methodology:

basic data visualisation tools, data analysis including density plots, data comparison tools

The project aims at harmonising the datasets exisiting on vaccination topics.

The project however could be merged with several other unfinished ones.

The progress of the project

The main outcome of the project were main data-resources, which were visualised during the early stage of the project. Then we found the extensive dataset from WHO where the main of the project was achieved.

The dataset from the World health organisation has the data on immunization across different countries in (1980-2018) as well as data on vaccination:

http://apps.who.int/gho/data/view.main.80200?lang=en

We also collected some different materials around the topic of vaccine hesitancy (see below).

Publications we used and studied during the project 

https://arxiv.org/abs/1909.08311

https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2019.24.25.1900053

https://www.sciencedirect.com/science/article/pii/S0264410X14017198

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002199

Plots for Kenya Vaccination coverage by density

Some results and data visualisations

Project was self-emerged by researchers from CRI, volunteers from CRI and Wild Code school.

The project was targeted in creation of data lake for the vaccination topic.

We did not have a target to have an impact, at least at the starting stage and were working on several RQs.

We did not take any ethical considerations into account.

The project started during the hackathon organised by JOGL and co-organised by CorrelAid.

The project main idea was to make the common data repository for various kinds of vaccination from countries around the globe. We did not think about scalability, willing to keep it local.

The project was documented just on JOGL platform.

The project is currently not funded. It is a collaborative project between volunteers CorrelAid, CRI and Wild Code School based out of Paris.