As of June 7, 2022, there were 2,523,915 active coronavirus COVID-19 cases and a total of 3,090 deaths registered in Taiwan. Despite the island's proximity to the mainland China, Taiwan had managed to contain the virus before the outbreak of the Delta variant of COVID-19. The success was due to an effective disease control system developed from the experience in the SARS epidemic. The highly contagious Omicron variant had brought a spike in new infections in Taiwan since March 2022.

Taiwan recorded 4189929 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Taiwan reported 7917 Coronavirus Deaths. This dataset includes a chart with historical data for Taiwan Coronavirus Cases.

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

View daily updates and historical trends for Taiwan Coronavirus Cases. Source: Johns Hopkins Center for Systems Science and Engineering. Track economic da…

Effects of COVID-19 outbreak on health utilization (by pandemic periods).

Abstract

JHU Coronavirus COVID-19 Global Cases, by country

Documentation

PHS is updating the Coronavirus Global Cases dataset weekly, Monday, Wednesday and Friday from Cloud Marketplace.

This data comes from the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). This database was created in response to the Coronavirus public health emergency to track reported cases in real-time. The data include the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries, aggregated at the appropriate province or state. It was developed to enable researchers, public health authorities and the general public to track the outbreak as it unfolds. Additional information is available in the blog post.

Visual Dashboard (desktop): https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Section 2

Included Data Sources are:

• World Health Organization (WHO): https://www.who.int/
• DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia.
• BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/
• National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml
• China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm
• Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html
• Macau Government: https://www.ssm.gov.mo/portal/
• Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0
• US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html
• Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html
• Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance
• European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
• Ministry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19
• Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus
• 1Point3Arces: https://coronavirus.1point3acres.com/en
• WorldoMeters: https://www.worldometers.info/coronavirus/

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Section 3

**Terms of Use: **

This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.

Section 4

**U.S. county-level characteristics relevant to COVID-19 **

Chin, Kahn, Krieger, Buckee, Balsari and Kiang (forthcoming) show that counties differ significantly in biological, demographic and socioeconomic factors that are associated with COVID-19 vulnerability. A range of publicly available county-specific data identifying these key factors, guided by international experiences and consideration of epidemiological parameters of importance, have been combined by the authors and are available for use:

https://github.com/mkiang/county_preparedness/

Taiwan MOHW: COVID-2019: Number of Cases: Confirmed: Death: To-Date data was reported at 19,005.000 Person in 16 Apr 2023. This stayed constant from the previous number of 19,005.000 Person for 15 Apr 2023. Taiwan MOHW: COVID-2019: Number of Cases: Confirmed: Death: To-Date data is updated daily, averaging 848.000 Person from Feb 2020 (Median) to 16 Apr 2023, with 1036 observations. The data reached an all-time high of 19,005.000 Person in 16 Apr 2023 and a record low of 1.000 Person in 19 Mar 2020. Taiwan MOHW: COVID-2019: Number of Cases: Confirmed: Death: To-Date data remains active status in CEIC and is reported by Ministry of Health and Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table TW.D001: Ministry of Health and Welfare: Coronavirus Disease 2019 (COVID-2019).

This dataset encompasses information on 579 confirmed COVID-19 cases in Taiwan, spanning from January 21 to November 9, 2020. The dataset includes various features such as travel history, age, gender, onset of symptoms, confirmed date, symptoms, critically ill date, recovered date, death date, and details on contact types between cases.In addition to individual case data, supplementary daily summary information is provided, sourced from the Taiwan CDC and covering the period from January 21, 2020, to May 23, 2022. This supplementary dataset furnishes population-level insights into the progression of the COVID-19 pandemic in Taiwan.Data Fields:Travel HistoryAgeGenderOnset of SymptomsConfirmed DateSymptomsCritically Ill DateRecovered DateDeath DateContact Types Between CasesTemporal Coverage:Individual Case Data: January 21, 2020, to November 9, 2020Daily Summary Data: January 21, 2020, to May 23, 2022Source:Taiwan Centers for Disease Control press release (CDC press release)United Daily News (COVID-19 Visualization)Taiwan CDC Open Data Portal, Regents of the National Center for High-performance Computing (COVID-19 Dashboard)Taiwan Centers for Disease Control open data portal (CDC open data portal)Taiwan Centers for Disease Control press conference (CDC press conference)

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is believed to have originated in Wuhan City, Hubei Province, China, in December 2019. Infection with this highly dangerous human-infecting coronavirus via inhalation of respiratory droplets from SARS-CoV-2 carriers results in coronavirus disease 2019 (COVID-19), which features clinical symptoms such as fever, dry cough, shortness of breath, and life-threatening pneumonia. Several COVID-19 waves arose in Taiwan from January 2020 to March 2021, with the largest outbreak ever having a high case fatality rate (CFR) (5.95%) between May and June 2021. In this study, we identified five 20I (alpha, V1)/B.1.1.7/GR SARS-CoV-2 (KMUH-3 to 7) lineage viruses from COVID-19 patients in this largest COVID-19 outbreak. Sequence placement analysis using the existing SARS-CoV-2 phylogenetic tree revealed that KMUH-3 originated from Japan and that KMUH-4 to KMUH-7 possibly originated via local transmission. Spike mutations M1237I and D614G were identified in KMUH-4 to KMUH-7 as well as in 43 other alpha/B.1.1.7 sequences of 48 alpha/B.1.1.7 sequences deposited in GISAID derived from clinical samples collected in Taiwan between 20 April and July. However, M1237I mutation was not observed in the other 12 alpha/B.1.1.7 sequences collected between 26 December 2020, and 12 April 2021. We conclude that the largest COVID-19 outbreak in Taiwan between May and June 2021 was initially caused by the alpha/B.1.1.7 variant harboring spike D614G + M1237I mutations, which was introduced to Taiwan by China Airlines cargo crew members. To our knowledge, this is the first documented COVID-19 outbreak caused by alpha/B.1.1.7 variant harboring spike M1237I mutation thus far. The largest COVID-19 outbreak in Taiwan resulted in 13,795 cases and 820 deaths, with a high CFR, at 5.95%, accounting for 80.90% of all cases and 96.47% of all deaths during the first 2 years. The high CFR caused by SARS-CoV-2 alpha variants in Taiwan can be attributable to comorbidities and low herd immunity. We also suggest that timely SARS-CoV-2 isolation and/or sequencing are of importance in real-time epidemiological investigations and in epidemic prevention. The impact of G614G + M1237I mutations in the spike gene on the SARS-CoV-2 virus spreading as well as on high CFR remains to be elucidated.

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.

Taiwan MOHW: COVID-2019: Number of Cases: Suspected: To-Date data was reported at 22,240,782.000 Person in 22 Feb 2023. This records an increase from the previous number of 22,219,004.000 Person for 21 Feb 2023. Taiwan MOHW: COVID-2019: Number of Cases: Suspected: To-Date data is updated daily, averaging 3,182,481.500 Person from Jan 2020 (Median) to 22 Feb 2023, with 1036 observations. The data reached an all-time high of 22,240,782.000 Person in 22 Feb 2023 and a record low of 4.000 Person in 17 Jan 2020. Taiwan MOHW: COVID-2019: Number of Cases: Suspected: To-Date data remains active status in CEIC and is reported by Ministry of Health and Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table TW.D001: Ministry of Health and Welfare: Coronavirus Disease 2019 (COVID-2019). Severe complicated influenza cases, cases of community-acquired upper respiratory infections under surveillance and clusters of upper respiratory infections who were reported on and after January 31 and whose specimens tested negative after COVID-19 testing are included since 7 Mar 2020

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in TAIWAN, PROVINCE OF CHINA: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website". The data have been pre-processed into the standard Project Tycho data format v1.1.

This is the data for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).Data SourcesWorld Health Organization (WHO): https://www.who.int/ DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia. BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html Macau Government: https://www.ssm.gov.mo/portal/ Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0 US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-casesMinistry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus

As of June 7, 2022, Taiwan had administered about 15.76 million coronavirus COVID-19 vaccine booster doses, whereas about two billion doses of the boosters had been applied worldwide. On January 7, 2022, the Taiwan government recommended individuals aged 18 or older who have received two doses of COVID-19 vaccine for 12 weeks to get a booster dose for better protection, as the Omicron brought a surge of new confirmed cases on the island.

BackgroundTaiwan faced a surge of COVID-19 infections in May 2021. Because new cases were quickly increasing, parents called for school closures. A national parent group used an online survey to collect opinions about upcoming school closings planned by the Ministry of Education. This study evaluated the results of the survey for all respondents and investigated the level of viral transmission following school closures among students in Taiwan.MethodsAn online survey titled “Survey of Opinions of School Closures during the Current COVID-19 Outbreak” (SOSC-COVID-19) was designed by the national parent association and then distributed to members of the community throughout Taiwan via local parent groups from May 17 to 18, 2021. The survey included an open-ended respondents' opinions about school closures. Differences among regions and socioeconomic scores (SES) were analyzed with chi-square tests.ResultsA total of 8,703 completed survey forms data were analyzed. Nearly all respondents (7,973, 91.6%) approved of school closures; there were no differences of opinions inside and outside municipalities or by regional SES scores. Only 8.4% of respondents were opposed to any type of school closure, believing parents should decide whether their child attended school, which also did not vary with region or SES score. Qualitative feedback from parent and teacher responders indicated students' health and economic impacts were additional concerns that influenced their choice of whether the government or parents should decide about school closures. On the afternoon of May 18, 2021, the government of Taiwan closed all schools. Although a spike in new cases of COVID-19 occurred among students 10 days after school closures, over the next 40 days new cases declined, falling to zero by July 5th.ConclusionsDespite the inability of nationwide school closures to completely halt transmission of the virus within families during the COVID-19 outbreak, school closures helped to impede transmission between students.

Domain-relevant attribute categories used in Taiwan COVID-19 confirmed infection cases.

Data from the 2019 Novel Coronavirus Visual Dashboard, managed by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). It is also supported by the team "ESRI Living Atlas" and "Johns Hopkins University Applied Physics Lab" (JHU APL).Data Sources:World Health Organization (WHO): https://www.who.int/ DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia. BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html Macau Government: https://www.ssm.gov.mo/portal/ Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0 US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-casesMinistry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus

As of March 12, 2020, there were 52 confirmed cases of coronavirus COVID-19 in the Philippines. Of these, 34 cases occurred through local transmission, which included direct exposure to known coronavirus COVID-19 carrier. In addition, infected persons had a travel history to China, South Korea, Australia, UAE, Indonesia, United States, United Kingdom, Taiwan, and Switzerland.

On March 23, 2020, there were 48 imported cases of COVID-19 compared to six cases of local transmission. Imported cases are those in which the patient contracted the novel coronavirus while overseas. Singapore, along with Taiwan, Hong Kong, and China, is experiencing a so-called second wave of COVID-19 infections, brought into the country by Singapore citizens and residents returning from overseas.