15 datasets found
  1. T

    Sri Lanka Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 5, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2020). Sri Lanka Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/sri-lanka/coronavirus-cases
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Mar 5, 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
    Sri Lanka
    Description

    Sri Lanka recorded 672317 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Sri Lanka reported 16856 Coronavirus Deaths. This dataset includes a chart with historical data for Sri Lanka Coronavirus Cases.

  2. Latest Coronavirus COVID-19 figures for Sri Lanka

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Worldometers (2025). Latest Coronavirus COVID-19 figures for Sri Lanka [Dataset]. https://covid19-today.pages.dev/countries/sri-lanka/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    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
    Sri Lanka
    Description

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

  3. S

    Sri Lanka New Covid cases per million people, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2023). Sri Lanka New Covid cases per million people, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Sri-Lanka/covid_new_cases_per_million/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    Sri Lanka
    Description

    New Covid cases per million people in Sri Lanka, March, 2023 The most recent value is 2 new Covid cases per million people as of March 2023, no change compared to the previous value of 2 new Covid cases per million people. Historically, the average for Sri Lanka from February 2020 to March 2023 is 810 new Covid cases per million people. The minimum of 0 new Covid cases per million people was recorded in February 2020, while the maximum of 6023 new Covid cases per million people was reached in August 2021. | TheGlobalEconomy.com

  4. COVID-19: The First Global Pandemic of the Information Age

    • cameroon.africageoportal.com
    Updated Apr 8, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Urban Observatory by Esri (2020). COVID-19: The First Global Pandemic of the Information Age [Dataset]. https://cameroon.africageoportal.com/datasets/UrbanObservatory::covid-19-the-first-global-pandemic-of-the-information-age
    Explore at:
    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.

  5. M

    Project Tycho Dataset; Counts of COVID-19 Reported In SRI LANKA: 2019-2021

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    • +1more
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MIDAS Coordination Center, Project Tycho Dataset; Counts of COVID-19 Reported In SRI LANKA: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/LK.840539006
    Explore at:
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in SRI LANKA: 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", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  6. Expected new infections on day 7, 14, 21 and 30 at selected values of R.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dileepa Senajith Ediriweera; Nilanthi Renuka de Silva; Gathsaurie Neelika Malavige; Hithanadura Janaka de Silva (2023). Expected new infections on day 7, 14, 21 and 30 at selected values of R. [Dataset]. http://doi.org/10.1371/journal.pone.0238340.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dileepa Senajith Ediriweera; Nilanthi Renuka de Silva; Gathsaurie Neelika Malavige; Hithanadura Janaka de Silva
    License

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

    Description

    Expected new infections on day 7, 14, 21 and 30 at selected values of R.

  7. Additional file 3 of Reduced dengue incidence during the COVID-19 movement...

    • springernature.figshare.com
    xlsx
    Updated Jun 14, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    S. N. Surendran; R. Nagulan; K. Sivabalakrishnan; S. Arthiyan; A. Tharsan; T. T. P. Jayadas; S. Raveendran; T. Kumanan; R. Ramasamy (2023). Additional file 3 of Reduced dengue incidence during the COVID-19 movement restrictions in Sri Lanka from March 2020 to April 2021 [Dataset]. http://doi.org/10.6084/m9.figshare.19234318.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    S. N. Surendran; R. Nagulan; K. Sivabalakrishnan; S. Arthiyan; A. Tharsan; T. T. P. Jayadas; S. Raveendran; T. Kumanan; R. Ramasamy
    License

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

    Area covered
    Sri Lanka
    Description

    Additional file 3: Supplementary Table S3. Monthly predicted and actual number of dengue cases in each district from March 2020 to April 2021.

  8. COVID_19 Datasets

    • kaggle.com
    zip
    Updated Mar 17, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ognev Denis (2022). COVID_19 Datasets [Dataset]. https://www.kaggle.com/datasets/ognevdenis/covid-19-datasets
    Explore at:
    zip(7530401 bytes)Available download formats
    Dataset updated
    Mar 17, 2022
    Authors
    Ognev Denis
    Description

    Context

    This dataset was collected from data received via this APi.

    Content

    “[Recovered cases are a] more important metric to track than Confirmed cases.”— Researchers for the University of Virginia’s COVID-19 dashboard

    If the number of total cases were accurately known for every country then the number of cases per million people would be a good indicator as to how well various countries are handling the pandemic.

    column nameDtypedescription
    0indexint64index
    1continentobjectAny of the world's main continuous expanses of land (Europe, Asia, Africa, North and South America, Oceania)
    2countryobjectA country is a distinct territorial body
    3populationfloat64The total number of people in the country
    4dayobjectYYYY-mm-dd
    5timeobjectYYYY-mm-dd T HH :MM:SS+UTC
    6cases_newobjectThe difference in relation to the previous record of all cases
    7cases_activefloat64Total number of current patients
    8cases_criticalfloat64Total number of current seriously ill
    9cases_recoveredfloat64Total number of recovered cases
    10cases_1M_popobjectThe number of cases per million people
    11cases_totalint64Records of all cases
    12deaths_newobjectThe difference in relation to the previous record of all cases
    13deaths_1M_popobjectThe number of cases per million people
    14deaths_totalfloat64Records of all cases
    15tests_1M_popobjectThe number of cases per million people
    16tests_totalfloat64Records of all cases

    Countries:

    Datasets contend data about covid_19 from 232 countries - Afghanistan - Albania - Algeria - Andorra - Angola - Anguilla - Antigua-and-Barbuda - Argentina - Armenia - Aruba - Australia - Austria - Azerbaijan - Bahamas - Bahrain - Bangladesh - Barbados - Belarus - Belgium - Belize - Benin - Bermuda - Bhutan - Bolivia - Bosnia-and-Herzegovina - Botswana - Brazil - British-Virgin-Islands - Brunei - Bulgaria - Burkina-Faso - Burundi - Cabo-Verde - Cambodia - Cameroon - Canada - CAR - Caribbean-Netherlands - Cayman-Islands - Chad - Channel-Islands - Chile - China - Colombia - Comoros - Congo - Cook-Islands - Costa-Rica - Croatia - Cuba - Curaçao - Cyprus - Czechia - Denmark - Diamond-Princess - Diamond-Princess- - Djibouti - Dominica - Dominican-Republic - DRC - Ecuador - Egypt - El-Salvador - Equatorial-Guinea - Eritrea - Estonia - Eswatini - Ethiopia - Faeroe-Islands - Falkland-Islands - Fiji - Finland - France - French-Guiana - French-Polynesia - Gabon - Gambia - Georgia - Germany - Ghana - Gibraltar - Greece - Greenland - Grenada - Guadeloupe - Guam - Guatemala - Guinea - Guinea-Bissau - Guyana - Haiti - Honduras - Hong-Kong - Hungary - Iceland - India - Indonesia - Iran - Iraq - Ireland - Isle-of-Man - Israel - Italy - Ivory-Coast - Jamaica - Japan - Jordan - Kazakhstan - Kenya - Kiribati - Kuwait - Kyrgyzstan - Laos - Latvia - Lebanon - Lesotho - Liberia - Libya - Liechtenstein - Lithuania - Luxembourg - Macao - Madagascar - Malawi - Malaysia - Maldives - Mali - Malta - Marshall-Islands - Martinique - Mauritania - Mauritius - Mayotte - Mexico - Micronesia - Moldova - Monaco - Mongolia - Montenegro - Montserrat - Morocco - Mozambique - MS-Zaandam - MS-Zaandam- - Myanmar - Namibia - Nepal - Netherlands - New-Caledonia - New-Zealand - Nicaragua - Niger - Nigeria - Niue - North-Macedonia - Norway - Oman - Pakistan - Palau - Palestine - Panama - Papua-New-Guinea - Paraguay - Peru - Philippines - Poland - Portugal - Puerto-Rico - Qatar - Réunion - Romania - Russia - Rwanda - S-Korea - Saint-Helena - Saint-Kitts-and-Nevis - Saint-Lucia - Saint-Martin - Saint-Pierre-Miquelon - Samoa - San-Marino - Sao-Tome-and-Principe - Saudi-Arabia - Senegal - Serbia - Seychelles - Sierra-Leone - Singapore - Sint-Maarten - Slovakia - Slovenia - Solomon-Islands - Somalia - South-Africa - South-Sudan - Spain - Sri-Lanka - St-Barth - St-Vincent-Grenadines - Sudan - Suriname - Sweden - Switzerland - Syria - Taiwan - Tajikistan - Tanzania - Thailand - Timor-Leste - Togo - Tonga - Trinidad-and-Tobago - Tunisia - Turkey - Turks-and-Caicos - UAE - Uganda - UK - Ukraine - Uruguay - US-Virgin-Islands - USA - Uzbekistan - Vanuatu - Vatican-City - Venezuela - Vietnam - Wallis-and-Futuna - Western-Sahara - Yemen - Zambia - Zimbabw-

  9. Predicted active infections and ICU bed saturation at selected values of R...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dileepa Senajith Ediriweera; Nilanthi Renuka de Silva; Gathsaurie Neelika Malavige; Hithanadura Janaka de Silva (2023). Predicted active infections and ICU bed saturation at selected values of R after lifting lockdown restrictions. [Dataset]. http://doi.org/10.1371/journal.pone.0238340.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dileepa Senajith Ediriweera; Nilanthi Renuka de Silva; Gathsaurie Neelika Malavige; Hithanadura Janaka de Silva
    License

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

    Description

    Predicted active infections and ICU bed saturation at selected values of R after lifting lockdown restrictions.

  10. f

    Observed coverage disruption of selected SRMNCH services due to the COVID-19...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Aatekah Owais; Arjumand Rizvi; Muhammad Jawwad; Susan Horton; Jai K. Das; Catherine Merritt; Ralfh Moreno; Atnafu G. Asfaw; Paul Rutter; Phuong H. Nguyen; Purnima Menon; Zulfiqar A. Bhutta (2023). Observed coverage disruption of selected SRMNCH services due to the COVID-19 pandemic in South Asia, Jan 2020 to Jun 2021. [Dataset]. http://doi.org/10.1371/journal.pgph.0001567.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Aatekah Owais; Arjumand Rizvi; Muhammad Jawwad; Susan Horton; Jai K. Das; Catherine Merritt; Ralfh Moreno; Atnafu G. Asfaw; Paul Rutter; Phuong H. Nguyen; Purnima Menon; Zulfiqar A. Bhutta
    License

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

    Area covered
    South Asia, Asia
    Description

    Observed coverage disruption of selected SRMNCH services due to the COVID-19 pandemic in South Asia, Jan 2020 to Jun 2021.

  11. Data from: Covid19inTamilNadu

    • kaggle.com
    zip
    Updated May 26, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Siva (2020). Covid19inTamilNadu [Dataset]. https://www.kaggle.com/srksiva20/covid19intamilnadu
    Explore at:
    zip(3149 bytes)Available download formats
    Dataset updated
    May 26, 2020
    Authors
    Siva
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    About Coronavirus: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).The disease was first identified in December 2019 in Wuhan, the capital of China's Hubei province, and has since spread globally, resulting in the ongoing 2019–20 coronavirus pandemic. Common symptoms include fever, cough, and shortness of breath. Other symptoms may include fatigue, muscle pain, diarrhoea, sore throat, loss of smell, and abdominal pain. The time from exposure to onset of symptoms is typically around five days but may range from two to fourteen days. While the majority of cases result in mild symptoms, some progress to viral pneumonia and multi-organ failure.

    **About Tamil Nadu : ** Tamil Nadu is one of the 28 states of India. Its capital and largest city is Chennai. Tamil Nadu lies in the southernmost part of the Indian subcontinent and is bordered by the union territory of Puducherry and the South Indian states of Kerala, Karnataka, and Andhra Pradesh. It is bounded by the Eastern Ghats on the north, by the Nilgiri Mountains, the Meghamalai Hills, and Kerala on the west, by the Bay of Bengal in the east, by the Gulf of Mannar and the Palk Strait on the southeast, and by the Indian Ocean on the south. The state shares a maritime border with the nation of Sri Lanka.

    Data Source : The data is organized in time series from official daily media bulletin from Health & Family Welfare Department , Government of Tamil Nadu. The bulletin can be accessed from https://stopcorona.tn.gov.in/daily-bulletin/ Availability of hospital beds and ventilators data is from https://twitter.com/Vijayabaskarofl (Official twitter handle of TN health minister)

  12. R0 values and doubling time of infections.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dileepa Senajith Ediriweera; Nilanthi Renuka de Silva; Gathsaurie Neelika Malavige; Hithanadura Janaka de Silva (2023). R0 values and doubling time of infections. [Dataset]. http://doi.org/10.1371/journal.pone.0238340.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dileepa Senajith Ediriweera; Nilanthi Renuka de Silva; Gathsaurie Neelika Malavige; Hithanadura Janaka de Silva
    License

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

    Description

    R0 values and doubling time of infections.

  13. f

    Estimated number of additional adolescent pregnancies, maternal and neonatal...

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Aatekah Owais; Arjumand Rizvi; Muhammad Jawwad; Susan Horton; Jai K. Das; Catherine Merritt; Ralfh Moreno; Atnafu G. Asfaw; Paul Rutter; Phuong H. Nguyen; Purnima Menon; Zulfiqar A. Bhutta (2023). Estimated number of additional adolescent pregnancies, maternal and neonatal deaths, low birthweight births and stunted children resulting from girls dropping out of school due to the COVID-19 pandemic in six South Asian countries. [Dataset]. http://doi.org/10.1371/journal.pgph.0001567.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Aatekah Owais; Arjumand Rizvi; Muhammad Jawwad; Susan Horton; Jai K. Das; Catherine Merritt; Ralfh Moreno; Atnafu G. Asfaw; Paul Rutter; Phuong H. Nguyen; Purnima Menon; Zulfiqar A. Bhutta
    License

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

    Area covered
    South Asia
    Description

    Estimated number of additional adolescent pregnancies, maternal and neonatal deaths, low birthweight births and stunted children resulting from girls dropping out of school due to the COVID-19 pandemic in six South Asian countries.

  14. Duration of the clinical course of patients by patient and disease...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Carukshi Arambepola; Nuwan Darshana Wickramasinghe; Surangi Jayakody; Sumudu Avanthi Hewage; Ananda Wijewickrema; Nalika Gunawardena; Sapumal Dhanapala; Shamini Prathapan (2023). Duration of the clinical course of patients by patient and disease characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0255394.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Carukshi Arambepola; Nuwan Darshana Wickramasinghe; Surangi Jayakody; Sumudu Avanthi Hewage; Ananda Wijewickrema; Nalika Gunawardena; Sapumal Dhanapala; Shamini Prathapan
    License

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

    Description

    Duration of the clinical course of patients by patient and disease characteristics.

  15. The presence of SARS-CoV-2 specific total antibodies and neutralizing...

    • plos.figshare.com
    xls
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chandima Jeewandara; Dinuka Guruge; Deshni Jayathilaka; Panambara Arachchige Deshan Madhusanka; Pradeep Darshana Pushpakumara; Shyrar Tanussiya Ramu; Inoka Sepali Aberathna; Danasekara Rallage Saubhagya Rasikangani Danasekara; Thilagaraj Pathmanathan; Buddhini Gunatilaka; Sauni Malavige; Yowan Dias; Ruwan Wijayamuni; Graham S. Ogg; Gathsaurie Neelika Malavige (2023). The presence of SARS-CoV-2 specific total antibodies and neutralizing antibodies in COVID-19 patients, their close contacts and non-close contacts in the Colombo Municipality region. [Dataset]. http://doi.org/10.1371/journal.pone.0257548.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chandima Jeewandara; Dinuka Guruge; Deshni Jayathilaka; Panambara Arachchige Deshan Madhusanka; Pradeep Darshana Pushpakumara; Shyrar Tanussiya Ramu; Inoka Sepali Aberathna; Danasekara Rallage Saubhagya Rasikangani Danasekara; Thilagaraj Pathmanathan; Buddhini Gunatilaka; Sauni Malavige; Yowan Dias; Ruwan Wijayamuni; Graham S. Ogg; Gathsaurie Neelika Malavige
    License

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

    Area covered
    Colombo
    Description

    The presence of SARS-CoV-2 specific total antibodies and neutralizing antibodies in COVID-19 patients, their close contacts and non-close contacts in the Colombo Municipality region.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2020). Sri Lanka Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/sri-lanka/coronavirus-cases

Sri Lanka Coronavirus COVID-19 Cases

Sri Lanka Coronavirus COVID-19 Cases - Historical Dataset (2020-01-04/2023-05-17)

Explore at:
json, xml, csv, excelAvailable download formats
Dataset updated
Mar 5, 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
Sri Lanka
Description

Sri Lanka recorded 672317 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Sri Lanka reported 16856 Coronavirus Deaths. This dataset includes a chart with historical data for Sri Lanka Coronavirus Cases.

Search
Clear search
Close search
Google apps
Main menu