Harmonize Vaccination banner
Project
Members
7

Status:
Active/Ongoing
Last update:
April 17, 2020
Linked to group(s)/challenge(s):

Harmonize Vaccination

To develop a tool for parsing various formats of vaccination coverage data sets and to visualize them on a common platform
Keywords
Web development
Python
Data Visualization
3Good Health and Well-being
  • Short Name: #HarmonizeVaccination

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



Elevator pitch / Abstract


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.

How to contribute

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

Problem Statement


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

Objectives & Methodology

Methodology:

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

State of the art

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

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

Progress report

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

Stakeholders

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

Impact strategy

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.

Ethical considerations

We did not take any ethical considerations into account.

Sustainability and scalability

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.

Communication and dissemination strategy

The project was documented just on JOGL platform.

Funding

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