19 datasets found
  1. COVID-19 cases breakdown Malaysia 2023

    • statista.com
    Updated Nov 15, 2023
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    Statista (2023). COVID-19 cases breakdown Malaysia 2023 [Dataset]. https://www.statista.com/statistics/1103202/malaysia-covid-19-tested-cases-breakdown/
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    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.

  2. Latest Coronavirus COVID-19 figures for Malaysia

    • covid19-today.pages.dev
    json
    Updated May 18, 2024
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    Worldometers (2024). Latest Coronavirus COVID-19 figures for Malaysia [Dataset]. https://covid19-today.pages.dev/countries/malaysia/
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    jsonAvailable download formats
    Dataset updated
    May 18, 2024
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Malaysia
    Description

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

  3. COVID-19 number of daily cases Malaysia 2020-2023

    • statista.com
    Updated Mar 17, 2023
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    Statista (2023). COVID-19 number of daily cases Malaysia 2020-2023 [Dataset]. https://www.statista.com/statistics/1110785/malaysia-covid-19-daily-cases/
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    Dataset updated
    Mar 17, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 3, 2020 - Mar 11, 2023
    Area covered
    Malaysia
    Description

    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.

  4. COVID-19 cases per 100,000 people Malaysia 2023, by state

    • statista.com
    Updated Nov 15, 2023
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    Statista (2023). COVID-19 cases per 100,000 people Malaysia 2023, by state [Dataset]. https://www.statista.com/statistics/1107426/malaysia-covid-19-confirmed-cases-by-state/
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    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.

  5. Cumulative number of coronavirus (COVID-19) cases Malaysia 2020-2023

    • statista.com
    Updated Mar 17, 2023
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    Statista (2023). Cumulative number of coronavirus (COVID-19) cases Malaysia 2020-2023 [Dataset]. https://www.statista.com/statistics/1183748/malaysia-covid-19-total-cases/
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    Dataset updated
    Mar 17, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 3, 2020 - Mar 11, 2023
    Area covered
    Malaysia
    Description

    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.

  6. T

    Malaysia Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). Malaysia Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/malaysia/coronavirus-deaths
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    Malaysia
    Description

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

  7. Z

    Counts of COVID-19 reported in MALAYSIA: 2019-2021

    • data.niaid.nih.gov
    • catalog.midasnetwork.us
    • +2more
    Updated Jun 3, 2024
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    MIDAS Coordination Center (2024). Counts of COVID-19 reported in MALAYSIA: 2019-2021 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11451671
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    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    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.

  8. Comparison of reported COVID-19 cases with estimated COVID-19 cases based on...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Vivek Jason Jayaraj; Chiu-Wan Ng; Awang Bulgiba; Maheshwara Rao Appannan; Sanjay Rampal (2023). Comparison of reported COVID-19 cases with estimated COVID-19 cases based on reported mortality and excess counts between March 2020 and October 2021 in Malaysia [Dataset]. http://doi.org/10.1371/journal.pntd.0010887.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Vivek Jason Jayaraj; Chiu-Wan Ng; Awang Bulgiba; Maheshwara Rao Appannan; Sanjay Rampal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Comparison of reported COVID-19 cases with estimated COVID-19 cases based on reported mortality and excess counts between March 2020 and October 2021 in Malaysia

  9. MAP estimates and associated credible intervals for Malaysia.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Sarat C. Dass; Wai M. Kwok; Gavin J. Gibson; Balvinder S. Gill; Bala M. Sundram; Sarbhan Singh (2023). MAP estimates and associated credible intervals for Malaysia. [Dataset]. http://doi.org/10.1371/journal.pone.0252136.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sarat C. Dass; Wai M. Kwok; Gavin J. Gibson; Balvinder S. Gill; Bala M. Sundram; Sarbhan Singh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    MAP estimates and associated credible intervals for Malaysia.

  10. COVID19 in Malaysia

    • kaggle.com
    zip
    Updated Aug 18, 2020
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    Mahira Hamzah (2020). COVID19 in Malaysia [Dataset]. https://www.kaggle.com/mahirahmzh/covid19-malaysia-by-region
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    zip(7338 bytes)Available download formats
    Dataset updated
    Aug 18, 2020
    Authors
    Mahira Hamzah
    Area covered
    Malaysia
    Description

    Context

    The COVID-19 pandemic was confirmed to have reached Malaysia in January 2020, when it was detected on travellers from China arriving via Singapore on 25 January

    Cases_ByState

    Column - The first column showing date from 25-Jan-2020 when Malaysia have first confirmed case until 216-May-2020. This is because the data is collected on 26-May-2020 - The subsequent columns are regions in Malaysia - Last column is originally a citation hyperlink source for the data

    Rows - Numbers shows are in cumulative - Numbers in bracket showing amount case increase from previous count - Empty cells is not missing data but actually showing zero cases

  11. f

    Data_Sheet_1_Whole genome sequencing analysis of SARS-CoV-2 from Malaysia:...

    • figshare.com
    pdf
    Updated Jun 13, 2023
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    Choo Yee Yu; Sie Yeng Wong; Nancy Woan Charn Liew; Narcisse Joseph; Zunita Zakaria; Isa Nurulfiza; Hui Jen Soe; Rachna Kairon; Syafinaz Amin-Nordin; Hui Yee Chee (2023). Data_Sheet_1_Whole genome sequencing analysis of SARS-CoV-2 from Malaysia: From alpha to Omicron.PDF [Dataset]. http://doi.org/10.3389/fmed.2022.1001022.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Choo Yee Yu; Sie Yeng Wong; Nancy Woan Charn Liew; Narcisse Joseph; Zunita Zakaria; Isa Nurulfiza; Hui Jen Soe; Rachna Kairon; Syafinaz Amin-Nordin; Hui Yee Chee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Countries around the world are gearing for the transition of the coronavirus disease 2019 (COVID-19) from pandemic to endemic phase but the emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants could lead to a prolonged pandemic. SARS-CoV-2 has continued to evolve as it optimizes its adaptation to the human host and the successive waves of COVID-19 have been linked to the explosion of particular variant of concern. As the genetic diversity and epidemiological landscape of SARS-CoV-2 differ from country to country, this study aims to provide insights into the variants that are circulating in Malaysia. Whole genome sequencing was performed for 204 SARS-CoV-2 from COVID-19 cases and an additional 18,667 SARS-CoV-2 genome sequences were retrieved from the GISAID EpiCoV database for clade, lineage and genetic variation analyses. Complete genome sequences with high coverage were then used for phylogeny investigation and the resulting phylogenetic tree was constructed from 8,716 sequences. We found that the different waves of COVID-19 in Malaysia were dominated by different clades with the L and O clade for first and second wave, respectively, whereas the progressive replacement by G, GH, and GK of the GRA clade were observed in the subsequence waves. Continuous monitoring of the genetic diversity of SARS-CoV-2 is important to identify the emergence and dominance of new variant in different locality so that the appropriate countermeasures can be taken to effectively contain the spread of SARS-CoV-2.

  12. f

    Table_3_Whole genome sequencing analysis of SARS-CoV-2 from Malaysia: From...

    • frontiersin.figshare.com
    pdf
    Updated Jun 13, 2023
    + more versions
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    Choo Yee Yu; Sie Yeng Wong; Nancy Woan Charn Liew; Narcisse Joseph; Zunita Zakaria; Isa Nurulfiza; Hui Jen Soe; Rachna Kairon; Syafinaz Amin-Nordin; Hui Yee Chee (2023). Table_3_Whole genome sequencing analysis of SARS-CoV-2 from Malaysia: From alpha to Omicron.pdf [Dataset]. http://doi.org/10.3389/fmed.2022.1001022.s005
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    pdfAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Choo Yee Yu; Sie Yeng Wong; Nancy Woan Charn Liew; Narcisse Joseph; Zunita Zakaria; Isa Nurulfiza; Hui Jen Soe; Rachna Kairon; Syafinaz Amin-Nordin; Hui Yee Chee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Countries around the world are gearing for the transition of the coronavirus disease 2019 (COVID-19) from pandemic to endemic phase but the emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants could lead to a prolonged pandemic. SARS-CoV-2 has continued to evolve as it optimizes its adaptation to the human host and the successive waves of COVID-19 have been linked to the explosion of particular variant of concern. As the genetic diversity and epidemiological landscape of SARS-CoV-2 differ from country to country, this study aims to provide insights into the variants that are circulating in Malaysia. Whole genome sequencing was performed for 204 SARS-CoV-2 from COVID-19 cases and an additional 18,667 SARS-CoV-2 genome sequences were retrieved from the GISAID EpiCoV database for clade, lineage and genetic variation analyses. Complete genome sequences with high coverage were then used for phylogeny investigation and the resulting phylogenetic tree was constructed from 8,716 sequences. We found that the different waves of COVID-19 in Malaysia were dominated by different clades with the L and O clade for first and second wave, respectively, whereas the progressive replacement by G, GH, and GK of the GRA clade were observed in the subsequence waves. Continuous monitoring of the genetic diversity of SARS-CoV-2 is important to identify the emergence and dominance of new variant in different locality so that the appropriate countermeasures can be taken to effectively contain the spread of SARS-CoV-2.

  13. f

    Table_1_The effects of the COVID-19 pandemic on dengue cases in Malaysia.PDF...

    • figshare.com
    pdf
    Updated Aug 24, 2023
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    Nuur Hafizah Md Iderus; Sarbhan Singh Lakha Singh; Sumarni Mohd Ghazali; Asrul Anuar Zulkifli; Nur Ain Mohd Ghazali; Mei Cheng Lim; Lonny Chen Rong Qi Ahmad; Mohamad Nadzmi Md Nadzri; Cia Vei Tan; Ahmed Syahmi Syafiq Md Zamri; Chee Herng Lai; Nur Shuhada Nordin; Mohd Kamarulariffin Kamarudin; Ming Keong Wan; Norhayati Mokhtar; Jenarun Jelip; Balvinder Singh Gill; Nur Ar Rabiah Ahmad (2023). Table_1_The effects of the COVID-19 pandemic on dengue cases in Malaysia.PDF [Dataset]. http://doi.org/10.3389/fpubh.2023.1213514.s001
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    pdfAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Frontiers
    Authors
    Nuur Hafizah Md Iderus; Sarbhan Singh Lakha Singh; Sumarni Mohd Ghazali; Asrul Anuar Zulkifli; Nur Ain Mohd Ghazali; Mei Cheng Lim; Lonny Chen Rong Qi Ahmad; Mohamad Nadzmi Md Nadzri; Cia Vei Tan; Ahmed Syahmi Syafiq Md Zamri; Chee Herng Lai; Nur Shuhada Nordin; Mohd Kamarulariffin Kamarudin; Ming Keong Wan; Norhayati Mokhtar; Jenarun Jelip; Balvinder Singh Gill; Nur Ar Rabiah Ahmad
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    BackgroundGlobally, the COVID-19 pandemic has affected the transmission dynamics and distribution of dengue. Therefore, this study aims to describe the impact of the COVID-19 pandemic on the geographic and demographic distribution of dengue incidence in Malaysia.MethodsThis study analyzed dengue cases from January 2014 to December 2021 and COVID-19 confirmed cases from January 2020 to December 2021 which was divided into the pre (2014 to 2019) and during COVID-19 pandemic (2020 to 2021) phases. The average annual dengue case incidence for geographical and demographic subgroups were calculated and compared between the pre and during the COVID-19 pandemic phases. In addition, Spearman rank correlation was performed to determine the correlation between weekly dengue and COVID-19 cases during the COVID-19 pandemic phase.ResultsDengue trends in Malaysia showed a 4-year cyclical trend with dengue case incidence peaking in 2015 and 2019 and subsequently decreasing in the following years. Reductions of 44.0% in average dengue cases during the COVID-19 pandemic compared to the pre-pandemic phase was observed at the national level. Higher dengue cases were reported among males, individuals aged 20–34 years, and Malaysians across both phases. Weekly dengue cases were significantly correlated (ρ = −0.901) with COVID-19 cases during the COVID-19 pandemic.ConclusionThere was a reduction in dengue incidence during the COVID-19 pandemic compared to the pre-pandemic phase. Significant reductions were observed across all demographic groups except for the older population (>75 years) across the two phases.

  14. f

    Monthly COVID-19 reported deaths between March 2020 and December 2021 in...

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Vivek Jason Jayaraj; Chiu-Wan Ng; Awang Bulgiba; Maheshwara Rao Appannan; Sanjay Rampal (2023). Monthly COVID-19 reported deaths between March 2020 and December 2021 in Malaysia [Dataset]. http://doi.org/10.1371/journal.pntd.0010887.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Vivek Jason Jayaraj; Chiu-Wan Ng; Awang Bulgiba; Maheshwara Rao Appannan; Sanjay Rampal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Malaysia
    Description

    Monthly COVID-19 reported deaths between March 2020 and December 2021 in Malaysia

  15. f

    Hyperparameter values for the reported results.

    • figshare.com
    xls
    Updated Jun 10, 2023
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    Sarat C. Dass; Wai M. Kwok; Gavin J. Gibson; Balvinder S. Gill; Bala M. Sundram; Sarbhan Singh (2023). Hyperparameter values for the reported results. [Dataset]. http://doi.org/10.1371/journal.pone.0252136.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sarat C. Dass; Wai M. Kwok; Gavin J. Gibson; Balvinder S. Gill; Bala M. Sundram; Sarbhan Singh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Hyperparameter values for the reported results.

  16. P

    Covid-19 radiography database Dataset

    • paperswithcode.com
    Updated Mar 11, 2021
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    Muhammad E. H. Chowdhury; Tawsifur Rahman; Amith Khandakar; Rashid Mazhar; Muhammad Abdul Kadir; Zaid Bin Mahbub; Khandaker Reajul Islam; Muhammad Salman Khan; Atif Iqbal; Nasser Al-Emadi; Mamun Bin Ibne Reaz; T. I. Islam (2021). Covid-19 radiography database Dataset [Dataset]. https://paperswithcode.com/dataset/covid-19-radiography-database
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    Dataset updated
    Mar 11, 2021
    Authors
    Muhammad E. H. Chowdhury; Tawsifur Rahman; Amith Khandakar; Rashid Mazhar; Muhammad Abdul Kadir; Zaid Bin Mahbub; Khandaker Reajul Islam; Muhammad Salman Khan; Atif Iqbal; Nasser Al-Emadi; Mamun Bin Ibne Reaz; T. I. Islam
    Description

    A team of researchers from Qatar University, Doha, Qatar, and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have created a database of chest X-ray images for COVID-19 positive cases along with Normal and Viral Pneumonia images. This COVID-19, normal, and other lung infection dataset is released in stages. In the first release, we have released 219 COVID-19, 1341 normal, and 1345 viral pneumonia chest X-ray (CXR) images. In the first update, we have increased the COVID-19 class to 1200 CXR images. In the 2nd update, we have increased the database to 3616 COVID-19 positive cases along with 10,192 Normal, 6012 Lung Opacity (Non-COVID lung infection), and 1345 Viral Pneumonia images and corresponding lung masks. We will continue to update this database as soon as we have new x-ray images for COVID-19 pneumonia patients.

  17. f

    SVMs model parameters for the daily new COVID-19 cases datasets.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Wan Imanul Aisyah Wan Mohamad Nawi; Abdul Aziz K. Abdul Hamid; Muhamad Safiih Lola; Syerrina Zakaria; Elayaraja Aruchunan; R. U. Gobithaasan; Nurul Hila Zainuddin; Wan Azani Mustafa; Mohd Lazim Abdullah; Nor Aieni Mokhtar; Mohd Tajuddin Abdullah (2023). SVMs model parameters for the daily new COVID-19 cases datasets. [Dataset]. http://doi.org/10.1371/journal.pone.0285407.t004
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wan Imanul Aisyah Wan Mohamad Nawi; Abdul Aziz K. Abdul Hamid; Muhamad Safiih Lola; Syerrina Zakaria; Elayaraja Aruchunan; R. U. Gobithaasan; Nurul Hila Zainuddin; Wan Azani Mustafa; Mohd Lazim Abdullah; Nor Aieni Mokhtar; Mohd Tajuddin Abdullah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    SVMs model parameters for the daily new COVID-19 cases datasets.

  18. Performance measures of the proposed model for daily new recovered COVID-19...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Wan Imanul Aisyah Wan Mohamad Nawi; Abdul Aziz K. Abdul Hamid; Muhamad Safiih Lola; Syerrina Zakaria; Elayaraja Aruchunan; R. U. Gobithaasan; Nurul Hila Zainuddin; Wan Azani Mustafa; Mohd Lazim Abdullah; Nor Aieni Mokhtar; Mohd Tajuddin Abdullah (2023). Performance measures of the proposed model for daily new recovered COVID-19 cases datasets. [Dataset]. http://doi.org/10.1371/journal.pone.0285407.t009
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wan Imanul Aisyah Wan Mohamad Nawi; Abdul Aziz K. Abdul Hamid; Muhamad Safiih Lola; Syerrina Zakaria; Elayaraja Aruchunan; R. U. Gobithaasan; Nurul Hila Zainuddin; Wan Azani Mustafa; Mohd Lazim Abdullah; Nor Aieni Mokhtar; Mohd Tajuddin Abdullah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Performance measures of the proposed model for daily new recovered COVID-19 cases datasets.

  19. Number of public and private hospitals in Malaysia 2017-2022

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Number of public and private hospitals in Malaysia 2017-2022 [Dataset]. https://www.statista.com/statistics/794860/number-of-public-and-private-hospitals-malaysia/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    In 2022, there were 148 government hospitals and 207 private licensed hospitals in Malaysia. During the COVID-19 pandemic, the Malaysian hospitals were prepared by the government to accommodate infected patients by increasing bed numbers. Although the country has now entered the post-COVID time, the pandemic had an impact on the healthcare system.

    COVID-19 hospitals

    During the COVID-19 pandemic in 2020 and 2021, many of public and private hospitals provide screenings for coronavirus. However, these are paid services. Only the high-risk groups such as elderly population who live in a nursing home and healthcare workers were provided free COVID-19 tests by the government. About 59 hospitals that are owned by the Ministry of Health handled patients under investigation (PU) and suspected positive COVID-19 cases. In July 2020, these hospitals prepared over 400 beds in the in the intensive care unit (ICU) and an additional thousand-odd ventilators for COVID-19 patients exclusively. With the availability of vaccination against the disease, the number of patients significantly decreased. As of March 2022, around 80 percent of Malaysian population have been vaccinated.

    Digitalization of patient records

    In 2019, the Ministry of Health announced a plan to use electronic medical record (EMR) systems across all hospitals and clinics nationwide. The digitalization of patient records would then provide ease the healthcare processes. Just like in most countries, the pandemic has also accelerated the digital evolution demand in Malaysia. To achieve this goal, the government has also improved connectivity and bandwidth infrastructure across the country. In 2019, Malaysia had a digital readiness index of 14.31 out of 25, putting it in the Accelerate Stage. In comparison, neighboring Singapore has made progress in its e-government strategy with a head start in 2011.

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Statista (2023). COVID-19 cases breakdown Malaysia 2023 [Dataset]. https://www.statista.com/statistics/1103202/malaysia-covid-19-tested-cases-breakdown/
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COVID-19 cases breakdown Malaysia 2023

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 15, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Malaysia
Description

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.

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