Big Data Analysis during Pandemic: Malaysia Health Data Warehouse Experience

Authors

  • Mohamad Fadli Khairie Senior Deputy Director, Operation Unit Malaysia Health Data Warehouse, Health Informatics Centre, Ministry of Health, Kompleks E, Pusat Pentadbiran Kerajaan Persekutuan, Putrajaya, Malaysia

DOI:

https://doi.org/10.31344/ijhhs.v6i0.396

Keywords:

big data, GIS, data warehouse

Abstract

Malaysia has reported more than 1.5 million COVID-19 cases since the beginning of the pandemic. Planning and executing an effective public health intervention and policy require a large amount of data from various sources to be analysed on a daily basis. In response to the data request, Malaysia Health Data Warehouse (MyHDW) utilizes its ability to collect, aggregate, analyse and visualize big data. This presentation explores the experience of Malaysia Health Data Warehouse leveraging big data analysis during the pandemic. Various health data has been collected by healthcare personnel at healthcare facilities. This data will be uploaded to MyHDW through several data source systems where afterward, all this data underwent ETL (Extract, Transform, Loading) process prior to loading onto the data warehouse. Most data requests concern healthcare utilisation or specific disease trends. Using data interoperability, intended data were extracted from the database. Afterward, data will be cleaned, analysed, and visualised either in the form of table, operational dashboard, interactive maps or incorporated in press statements or policy documentation. Several outputs have been produced by MyHDW during the pandemic, such as spatial analysis of COVID-19 data, cardiovascular mortality trends during the pandemic, impact analysis of hospital utilisation during the pandemic, and excess mortality. Big data analysis through Malaysia Health Data Warehouse is an asset to the country in coordinating effective responses during the pandemic.

International Journal of Human and Health Sciences Supplementary Issue: 2022 Page: S6

Downloads

Published

2022-03-13

How to Cite

Khairie, M. F. (2022). Big Data Analysis during Pandemic: Malaysia Health Data Warehouse Experience. International Journal of Human and Health Sciences (IJHHS), 6, S6. https://doi.org/10.31344/ijhhs.v6i0.396

Issue

2022: Supplementary Issue: 2022

Section

Plenary Abstracts

License

Copyright (c) 2022 Mohamad Fadli Khairie

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish in the International Journal of Human and Health Sciences agree to the following terms that:

  1. Authors retain copyright and grant International Journal of Human and Health Sciences the right of first publication of the work.

  2. Creative Commons Licence
    Articles in International Journal of Human and Health Sciences are licensed under a Creative Commons Attribution 4.0 International License CC BY-4.0.This license permits use, distribution and reproduction in any medium, provided the original work is properly cited.
  3. Authors are able to enter into separate, additional contractual arrangements for the distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  4. Authors are permitted to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as greater citation of published work.