Retrieved from Official Github account of Malaysia's Ministry of Health on 04-Aug-2023.

Imported database : - cases_state.csv: Daily recorded COVID-19 cases at state level. - deaths_state.csv: Daily deaths due to COVID-19 at state level. - hospital.csv: Flow of patients to/out of hospitals, with capacity and utilisation. - icu.csv: Capacity and utilisation of intensive care unit (ICU) beds. - vax_state.csv: Vaccinations (daily and cumulative, by dose type and brand) at state level. - vax_malaysia.csv: Vaccinations (daily and cumulative, by dose type and brand) at country level. - population.csv Malaysia's population by state (last updated from DOSM 2020 census, as published in 2022).

*Database mainly focused on state-level analysis only.*

Full available datasets from MOH (including country-level data) please refer to link above.

On March 11, 2023, Malaysia had approximately five million confirmed cases of COVID-19. Over the past week, Malaysia has seen a decrease in the number of new cases each day, but still expects an increase due to the highly-contagious Omicron variant.

Malaysia is currently one out of more than 200 countries and territories battling with the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Malaysia recorded 5079436 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Malaysia reported 37028 Coronavirus Deaths. This dataset includes a chart with historical data for Malaysia Coronavirus Cases.

On March 11, 2023, Malaysia recorded 223 new confirmed cases of COVID-19, reflecting an increase from more than 160 cases on March 5, 2023. Malaysia is still expecting a rise due to the highly contagious variant of Omicron.

Malaysia is currently one out of more than 200 countries and territories battling with the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In past 24 hours, Malaysia, Asia had N/A new cases, N/A deaths and N/A recoveries.

As of November 4, 2023, Malaysian states of Putrajaya and Kuala Lumpur had respectively around 36.1 and 30.6 coronavirus (COVID-19) confirmed cases per 100,000 people, the highest in the country. Malaysia is experiencing a decrease in cases, although the country still expecting a rise due to the highly contagious variant of Omicron.

Malaysia is currently one out of more than 200 countries and territories battling with the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

A free, publicly available Malaysia Covid-19 dataset.

Data Descriptions

28 variables. Include:

New case New case (7 day rolling average) Recovered Active case Local cases Imported case ICU Death Cumulative deaths

People tested Cumulative people tested Positivity rate Positivity rate (7 day rolling average)

Data Sources

Column 1 to 22 are Twitter data, which the Tweets are retrieved from Health DG @DGHisham timeline with Twitter API. A typical covid situation update Tweet is written in a relatively fixed format. Data wrangling are done in Python/Pandas, numerical values extracted with Regular Expression (RegEx). Missing data are added manually from Desk of DG (kpkesihatan).

Column 23 ['remark'] is my own written remark regarding the Tweet status/content.

Column 24 ['Cumulative people tested'] data is transcribed from an image on MOH COVID-19 website. Specifically, the first image under TABURAN KES section in each Situasi Terkini daily webpage of http://covid-19.moh.gov.my/terkini. If missing, the image from CPRC KKM Telegram or KKM Facebook Live video is used. Data in this column, dated from 1 March 2020 to 11 Feb 2021, are from Our World in Data, their data collection method as stated here.

Why does this dataset exist?

MOH does not publish any covid data in csv/excel format as of today, they provide the data as is, along with infographics that are hardly informative. In an undisclosed email, MOH doesn't seem to understand my request for them to release the covid public health data for anyone to download and do their analysis if they do wish.

To be updated periodically

A simple visualization dashboard is now published on Tableau Public. It's is updated daily. Do check it out! More charts to be added in the near future

Inspiration

Create better visualizations to help fellow Malaysians understand the Covid-19 situation. Empower the data science community.

The number of COVID-19 vaccination doses administered in Malaysia rose to 72625370 as of Oct 27 2023. This dataset includes a chart with historical data for Malaysia Coronavirus Vaccination Total.

Dataset

This dataset was created by Khairul Hafiz

Released under Data files © Original Authors

Contents

The Coronavirus (SARS-CoV-2) outbreak, dubbed COVID-19, is first and foremost a human tragedy, affecting millions of people globally. The contagious Coronavirus, which broke out at the close of 2019, has led to a medical emergency across the world, with the World Health Organization officially declaring the novel Coronavirus a pandemic on March 11, 2020. Read More

As of November 4, 2023, Malaysia recorded over 5.1 million confirmed cases of COVID-19 and around 37.1 thousand deaths from the virus. Currently, Malaysia has successfully vaccinated over 80 percent of its population and is experiencing a decrease in cases, although the country still expecting a rise due to the highly contagious variant of Omicron.

Malaysia is currently one out of more than 200 countries and territories battling with the novel coronavirus. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This dataset contains COVID-19 specific information from Malaysia, which includes the number of cases across Malaysian states and vaccination information.

Taken directly from the Malaysian Ministry of Health's COVID-19 repository, which also includes data descriptions.

As of July 13, 2022, 19 percent of Malaysian respondents stated that they had been avoiding going to work during the COVID-19 outbreak. Malaysia has successfully vaccinated more than 80 percent of its population and has removed travel restrictions for residents who were fully vaccinated.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of July 13, 2022, 84 percent of Malaysian respondents stated that they were wearing face masks when in public places during the COVID-19 outbreak, up from 55 percent on Feb 24, 2020. Malaysia has vaccinated more than 80 percent of its adult population. However, due to the highly infectious type of Omicron, the country is still expecting an increase in the number of confirmed daily cases of COVID-19 infections.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Total Covid deaths per million in Malaysia, March, 2023 The most recent value is 1090 total Covid deaths as of March 2023, an increase compared to the previous value of 1089 total Covid deaths. Historically, the average for Malaysia from March 2020 to March 2023 is 551 total Covid deaths. The minimum of 1 total Covid deaths was recorded in March 2020, while the maximum of 1090 total Covid deaths was reached in March 2023. | TheGlobalEconomy.com

Dataset

This dataset was created by Jesen Do

Contents

WHO: COVID-2019: Number of Patients: Confirmed: New: Malaysia data was reported at 0.000 Person in 24 Dec 2023. This stayed constant from the previous number of 0.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Confirmed: New: Malaysia data is updated daily, averaging 1,328.500 Person from Jan 2020 (Median) to 24 Dec 2023, with 1430 observations. The data reached an all-time high of 33,406.000 Person in 05 Mar 2022 and a record low of 0.000 Person in 24 Dec 2023. WHO: COVID-2019: Number of Patients: Confirmed: New: Malaysia data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued). Prior to 03 Feb 2020, data were generated.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Context

The dataset consists of COVID-19 cases in Malaysia from 27 March 2020 to 15 April 2021. This dataset is collected for the purpose of creating better visualizations for the COVID-19 cases in Malaysia. All of the data is web scraped from https://kpkesihatan.com/ by using BeautifulSoup library.

The data is also available in GitHub, along with the scripts made to scrape the data. There is also a Web Application made to show the visualizations.

Originally I planned to update the data daily but I find that it seems too tedious for me to do this alone without some sort of automated scripts or schedulers. I have been wondering how to do this efficiently with automation or schedulers, if someone knows how to do this efficiently, please reach out to me by emailing or message in LinkedIn, the links can be found in my GitHub, thank you very much.

Content

There are three CSV files and one GeoJSON file: - all_2020-03-27_2021-04-15.csv: all daily cases excluding state data - state_all.csv: all daily cases for each state - state_cumu.csv: all daily cumulative cases for each state - malaysia_state_province_boundary.geojson: Malaysia's GeoJSON map file

The columns consist of: 1. Date 2. Recovered 3. Cumulative Recovered 4. Imported Case (many NaN values till the end of 2020) 5. Local Case (many NaN values) 6. Active Case (many NaN values but can be inferred) 7. New Case 8. Cumulative Case 9. ICU - Number of patients admitted into Intensive Care Unit 10. Ventilator - Number of patients who need ventilator in ICU 11. Death 12. Cumulative Death 13. URL - link to the original webpage

Acknowledgements

Thanks to Info GIS MAP.com that provides Malaysia's GeoJSON file to create Choropleth maps.

Inspiration

Hopefully, there will be people utilizing the scripts or the data to create better visualizations.

Malaysia Coronavirus Testing Kits Market, By Type of Test, By Technology, By End User, By Company, By Region, Forecast & Opportunities, 2028