14 datasets found
  1. I

    India COVID-19: As on Date: Number of Confirmed Cases: Kerala

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). India COVID-19: As on Date: Number of Confirmed Cases: Kerala [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-confirmed-cases-kerala
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    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 23, 2024 - Mar 24, 2025
    Area covered
    India
    Description

    COVID-19: As on Date: Number of Confirmed Cases: Kerala data was reported at 6,921,277.000 Case in 05 May 2025. This records an increase from the previous number of 6,921,265.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Confirmed Cases: Kerala data is updated daily, averaging 6,547,507.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 6,921,277.000 Case in 05 May 2025 and a record low of 22.000 Case in 15 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Kerala data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  2. Kerala Covid-19

    • kaggle.com
    Updated Nov 2, 2021
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    Kartik Bhatnagar (2021). Kerala Covid-19 [Dataset]. https://www.kaggle.com/datasets/kartikbhatnagar18/kerala-covid19
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 2, 2021
    Dataset provided by
    Kaggle
    Authors
    Kartik Bhatnagar
    License

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

    Area covered
    Kerala
    Description

    Context

    Kerala is One of the Indian State where the Covid-19 Pandemic has outbreak very badly. So it is essential to study about Kerals Pandemic situation from January 2020 to October 2021

    Content

    The Data contains information about Kerala's Covid 19 Pandemic performance. The columns Included in the DATASET are Total Cases ( Cumulative) , Total Deaths ( Cumulative) , Recoveries ( Cumilative) , Active Cases ( Daily)

    Acknowledgements

    The data is being extracted from the Kerals Government Covid 19 Tracker Dashboard

    Inspiration

  3. COVID 19 Dataset - INDIA

    • kaggle.com
    Updated May 2, 2020
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    Ambili (2020). COVID 19 Dataset - INDIA [Dataset]. https://www.kaggle.com/ambilidn/covid19-dataset-india/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 2, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ambili
    Area covered
    India
    Description

    Context

    This is a Covid 19 data set for India. The data set is updated frequently and is analysed using tableau. Click on the link to visit the tableau story. Click each of the caption in the story to unveil its content.

    https://public.tableau.com/profile/ambili.nair#!/vizhome/COVID19Indiastory/Indiastory?publish=yes

    The first Covid 19 case in India was reported on 30th January 2020 in South Indian state of Kerala on a medical student who was pursuing the studies at Wuhan University, China. Two more students were found to be infected in Kerala in the consecutive days. The Kerala government was successful in containing the disease with its proactive measures back then. The second outbreak of Covid 19 in India started in the first week of March from various parts of India in various people who visited the foreign countries and in some of the tourists from different countries.

    The tableau story consists of the following data analysis : 1. State-wise number of infected and number of death count in India map. Hover the mouse on each state in the India map to know the count. 2. Click on the next caption to know the state-wise number of confirmed, active, recovered and deceased cases in the form of bar chart. 3. The next caption takes you to the bar chart which shows the number of cases getting confirmed in India each day starting from January 30, 2020. 4. Next caption takes us to an analysis of the Mortality rate and the Recovery rate (in percentage) of each of the Indian state. We get an idea how hard each of the state is hit by the pandemic. 5. Next caption gives a detailed analysis of the state Kerala which has the mortality rate of 0.806% and the recovery rate of 74.4% as of now. Hover the mouse to know the count in each district. Don't forget to have a look at the line graph of 'number of active cases' in Kerala. It looks almost flattened ! As everyday we hear the increasing number of cases and deaths across the country, this graph may make you feel better...! 6. Finally the caption takes you to the statistics from the topmost district of Kerala - Kasaragod. The total number of cases reported is 179 at Kasaragod. The active number of cases is just 12 as of now... !!! Have a look at the statistics from Kasaragod and the story of 'Kasaragod model' as some of the national media in India call it !!!

    Content

    This data set consists of the following data: 1. state-wise statistics - Confirmed, Active, Recovered, Deceased cases 2. day-wise count of infected and deceased from various states 3. Statistics from Kerala - day-wise count of confirmed, Active, Recovered, Deceased cases 4. Statistics from Kasaragod district, Kerala - day-wise count of confirmed, Active, Recovered, Deceased cases 5. Count of confirmed cases from various districts of India

    Acknowledgements

    Ministry of Health and Family Welfare - India covid19india.org Wikipedia page - Covid 19 Pandemic India Govt. of Kerala dashboard - official Kerala Covid 19 statistics

    Inspiration

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  4. COVID-19 cases in India as of October 2023, by type

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). COVID-19 cases in India as of October 2023, by type [Dataset]. https://www.statista.com/statistics/1101713/india-covid-19-cases-by-type/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    India reported over 44 million confirmed cases of the coronavirus (COVID-19) as of October 20, 2023. The number of people infected with the virus was declining across the south Asian country.

    What is the coronavirus?

    COVID-19 is part of a large family of coronaviruses (CoV) that are transmitted from animals to people. The name COVID-19 is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged. Symptoms of COVID-19 resemble that of the common cold, with fever, coughing, and shortness of breath. However, serious infections can lead to pneumonia, multi-organ failure, severe acute respiratory syndrome, and even death, if appropriate medical help is not provided.

    COVID-19 in India

    India reported its first case of this coronavirus in late January 2020 in the southern state of Kerala. That led to a nation-wide lockdown between March and June that year to curb numbers from rising. After marginal success, the economy opened up leading to some recovery for the rest of 2020. In March 2021, however, the second wave hit the country causing record-breaking numbers of infections and deaths, crushing the healthcare system. The central government has been criticized for not taking action this time around, with "#ResignModi" trending on social media platforms in late April. The government's response was to block this line of content on the basis of fighting misinformation and reducing panic across the country.

  5. I

    India COVID-19: As on Date: Number of Active Cases: Kerala

    • ceicdata.com
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    CEICdata.com, India COVID-19: As on Date: Number of Active Cases: Kerala [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-active-cases-kerala
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 23, 2024 - Mar 24, 2025
    Area covered
    India
    Description

    COVID-19: As on Date: Number of Active Cases: Kerala data was reported at 11.000 Case in 05 May 2025. This records an increase from the previous number of 4.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Active Cases: Kerala data is updated daily, averaging 5,071.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 445,692.000 Case in 16 May 2021 and a record low of 0.000 Case in 24 Mar 2025. COVID-19: As on Date: Number of Active Cases: Kerala data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  6. Covid Clusters in Kerala

    • kaggle.com
    Updated Aug 2, 2021
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    Sebin James (2021). Covid Clusters in Kerala [Dataset]. https://www.kaggle.com/sebinjames/covid-clusters-in-kerala/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 2, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sebin James
    Area covered
    Kerala
    Description

    Context 📑

    After the Outbreak of the novel corona virus,In India the very first case was reported in Kerala,even if we were able to control it the virus had spread from various other areas This dataset highlights the covid clusters that were called by Kerala Government

    Content ✌

    The various covid clusters identified in Kerala by the government till June 2021.

    Acknowledgements 📚📖

    The Dataset was scraped from the Covid Jaagratha Website of Kerala Covid Jaagratha Website

    Inspiration 👨‍💻✍👏

    There are various types of covid clusters identified, the list are: * Large Community Cluster * Institutional Cluster * Limited Community Cluster * Closed Community Cluster

    So I wanted people to identify these clusters formed, The data is cleaned and anyone can easily perform EDA on this , As a PG student in Data Sceince in the beginning it was hard for me to find Indian Datasets to work on for beginners, Well Voila ! Enjoy analysing this dataset,This dataset will be updated every month

    Conquer The world with Love ❤😍

    Upvote the dataset if you find it useful

  7. COVID-19 cases in Indian states 2023, by type

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). COVID-19 cases in Indian states 2023, by type [Dataset]. https://www.statista.com/statistics/1103458/india-novel-coronavirus-covid-19-cases-by-state/
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The Indian state of Punjab reported the highest number of active coronavirus (COVID-19) cases of over one thousand cases as of October 20, 2023. Kerala and Karnataka followed, with relatively lower casualties. That day, there were a total of over 44 million confirmed infections across India.

  8. I

    India COVID-19: As on Date: Number of Cured/Discharged/Migrated: Kerala

    • ceicdata.com
    Updated Nov 15, 2019
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    CEICdata.com (2019). India COVID-19: As on Date: Number of Cured/Discharged/Migrated: Kerala [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-cureddischargedmigrated-kerala
    Explore at:
    Dataset updated
    Nov 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 23, 2024 - Mar 24, 2025
    Area covered
    India
    Description

    COVID-19: As on Date: Number of Cured/Discharged/Migrated: Kerala data was reported at 6,849,127.000 Case in 05 May 2025. This records an increase from the previous number of 6,849,122.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Cured/Discharged/Migrated: Kerala data is updated daily, averaging 6,474,702.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 6,849,127.000 Case in 05 May 2025 and a record low of 3.000 Case in 23 Mar 2020. COVID-19: As on Date: Number of Cured/Discharged/Migrated: Kerala data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  9. COVID 19(coronavirus) India (27 th March 2020)

    • kaggle.com
    zip
    Updated Mar 27, 2020
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    Anurag (2020). COVID 19(coronavirus) India (27 th March 2020) [Dataset]. https://www.kaggle.com/anuraglahon/covid-19-india-12th-march-2020
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    zip(12748 bytes)Available download formats
    Dataset updated
    Mar 27, 2020
    Authors
    Anurag
    Area covered
    India
    Description

    ****Context****

    Corona Virus Indian cases state wise about Indian and Foreign Nationals. The number of person cured and death according to state wise.

    First case : Kerala Arrival date : 30 January 2020

    BSE SENSEX from the first known case of Corona virus(30th January)

    District wise cases in Each State.

    Credits Data from India Health Ministry Website: https://www.mohfw.gov.in/

  10. f

    Data_Sheet_2_Initial Insights Into the Genetic Epidemiology of SARS-CoV-2...

    • frontiersin.figshare.com
    pdf
    Updated Jun 6, 2023
    + more versions
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    Chandni Radhakrishnan; Mohit Kumar Divakar; Abhinav Jain; Prasanth Viswanathan; Rahul C. Bhoyar; Bani Jolly; Mohamed Imran; Disha Sharma; Mercy Rophina; Gyan Ranjan; Paras Sehgal; Beena Philomina Jose; Rajendran Vadukkoot Raman; Thulaseedharan Nallaveettil Kesavan; Kalpana George; Sheela Mathew; Jayesh Kumar Poovullathil; Sajeeth Kumar Keeriyatt Govindan; Priyanka Raveendranadhan Nair; Shameer Vadekkandiyil; Vineeth Gladson; Midhun Mohan; Fairoz Cheriyalingal Parambath; Mohit Mangla; Afra Shamnath; Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium; Sridhar Sivasubbu; Vinod Scaria (2023). Data_Sheet_2_Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions.PDF [Dataset]. http://doi.org/10.3389/fgene.2021.630542.s002
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    pdfAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers
    Authors
    Chandni Radhakrishnan; Mohit Kumar Divakar; Abhinav Jain; Prasanth Viswanathan; Rahul C. Bhoyar; Bani Jolly; Mohamed Imran; Disha Sharma; Mercy Rophina; Gyan Ranjan; Paras Sehgal; Beena Philomina Jose; Rajendran Vadukkoot Raman; Thulaseedharan Nallaveettil Kesavan; Kalpana George; Sheela Mathew; Jayesh Kumar Poovullathil; Sajeeth Kumar Keeriyatt Govindan; Priyanka Raveendranadhan Nair; Shameer Vadekkandiyil; Vineeth Gladson; Midhun Mohan; Fairoz Cheriyalingal Parambath; Mohit Mangla; Afra Shamnath; Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium; Sridhar Sivasubbu; Vinod Scaria
    License

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

    Area covered
    Kerala
    Description

    Coronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. The rapid increase in the COVID-19 cases in the state of Kerala in India has necessitated the understanding of SARS-CoV-2 genetic epidemiology. We sequenced 200 samples from patients in Kerala using COVIDSeq protocol amplicon-based sequencing. The analysis identified 166 high-quality single-nucleotide variants encompassing four novel variants and 89 new variants in the Indian isolated SARS-CoV-2. Phylogenetic and haplotype analysis revealed that the virus was dominated by three distinct introductions followed by local spread suggesting recent outbreaks and that it belongs to the A2a clade. Further analysis of the functional variants revealed that two variants in the S gene associated with increased infectivity and five variants mapped in primer binding sites affect the efficacy of RT-PCR. To the best of our knowledge, this is the first and most comprehensive report of SARS-CoV-2 genetic epidemiology from Kerala.

  11. A

    ‘Covid_cases_in_India’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 30, 2021
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Covid_cases_in_India’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-covid-cases-in-india-67b0/c26aa971/?iid=008-988&v=presentation
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    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    India
    Description

    Analysis of ‘Covid_cases_in_India’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/luvharishkhati/covid-cases-in-india on 30 September 2021.

    --- Dataset description provided by original source is as follows ---

    Hello all, this notebook consists of the patients suffering from corona virus from various states of India. This pandemic started from Kerala and it spread all over. If you will try to analyze the dataset, you will come to know that Maharashtra state have large number of positive results, also the recovery rate is high over there. This notebook clearly categorizes the positive result, death rates and the recovery rates of different states. Data visualization is done here which makes the case study more attractive and informative.

    --- Original source retains full ownership of the source dataset ---

  12. f

    Table_1_Nipah Virus Outbreak in Kerala State, India Amidst of COVID-19...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 10, 2023
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    Pragya D. Yadav; Rima R. Sahay; Anukumar Balakrishnan; Sreelekshmy Mohandas; Chandni Radhakrishnan; Mangesh D. Gokhale; R. Balasubramanian; Priya Abraham; Nivedita Gupta; A. P. Sugunan; Rajan Khobragade; Kalpana George; Anita Shete; Savita Patil; Ullas Padinjaremattathil Thankappan; Hitesh Dighe; Jijo Koshy; Vivek Vijay; R. Gayathri; P. Jayesh Kumar; Asma Rahim; A. Naveen; Sarala Nair; V. R. Rajendran; V. Jayasree; Triparna Majumdar; Rajlaxmi Jain; Prasanth Viswanathan; Deepak Y. Patil; Abhinendra Kumar; Dimpal A. Nyayanit; Prasad Sarkale; Ashwini Waghmare; Shrikant Baradkar; Pranita Gawande; Poonam Bodke; Kaumudi Kalele; Jyoti Yemul; Sachin Dhaigude; Manjunath Holepannawar; Sanjay Gopale; Ganesh Chopade; Shilpa Ray; Priyanka Waghmare; Jitendra Narayan; Basavaraj Mathapati; Manoj Kadam; Abhimanyu Kumar; Annasaheb Suryawanshi; Beena Philomina Jose; Saritha Sivadas; N. P. Akash; T. V. Vimisha; K. V. Keerthi (2023). Table_1_Nipah Virus Outbreak in Kerala State, India Amidst of COVID-19 Pandemic.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2022.818545.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Frontiers
    Authors
    Pragya D. Yadav; Rima R. Sahay; Anukumar Balakrishnan; Sreelekshmy Mohandas; Chandni Radhakrishnan; Mangesh D. Gokhale; R. Balasubramanian; Priya Abraham; Nivedita Gupta; A. P. Sugunan; Rajan Khobragade; Kalpana George; Anita Shete; Savita Patil; Ullas Padinjaremattathil Thankappan; Hitesh Dighe; Jijo Koshy; Vivek Vijay; R. Gayathri; P. Jayesh Kumar; Asma Rahim; A. Naveen; Sarala Nair; V. R. Rajendran; V. Jayasree; Triparna Majumdar; Rajlaxmi Jain; Prasanth Viswanathan; Deepak Y. Patil; Abhinendra Kumar; Dimpal A. Nyayanit; Prasad Sarkale; Ashwini Waghmare; Shrikant Baradkar; Pranita Gawande; Poonam Bodke; Kaumudi Kalele; Jyoti Yemul; Sachin Dhaigude; Manjunath Holepannawar; Sanjay Gopale; Ganesh Chopade; Shilpa Ray; Priyanka Waghmare; Jitendra Narayan; Basavaraj Mathapati; Manoj Kadam; Abhimanyu Kumar; Annasaheb Suryawanshi; Beena Philomina Jose; Saritha Sivadas; N. P. Akash; T. V. Vimisha; K. V. Keerthi
    License

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

    Area covered
    India, Kerala
    Description

    We report here a Nipah virus (NiV) outbreak in Kozhikode district of Kerala state, India, which had caused fatal encephalitis in a 12-year-old boy and the outbreak response, which led to the successful containment of the disease and the related investigations. Quantitative real-time reverse transcription (RT)-PCR, ELISA-based antibody detection, and whole genome sequencing (WGS) were performed to confirm the NiV infection. Contacts of the index case were traced and isolated based on risk categorization. Bats from the areas near the epicenter of the outbreak were sampled for throat swabs, rectal swabs, and blood samples for NiV screening by real-time RT-PCR and anti-NiV bat immunoglobulin G (IgG) ELISA. A plaque reduction neutralization test was performed for the detection of neutralizing antibodies. Nipah viral RNA could be detected from blood, bronchial wash, endotracheal (ET) secretion, and cerebrospinal fluid (CSF) and anti-NiV immunoglobulin M (IgM) antibodies from the serum sample of the index case. Rapid establishment of an onsite NiV diagnostic facility and contact tracing helped in quick containment of the outbreak. NiV sequences retrieved from the clinical specimen of the index case formed a sub-cluster with the earlier reported Nipah I genotype sequences from India with more than 95% similarity. Anti-NiV IgG positivity could be detected in 21% of Pteropus medius (P. medius) and 37.73% of Rousettus leschenaultia (R. leschenaultia). Neutralizing antibodies against NiV could be detected in P. medius. Stringent surveillance and awareness campaigns need to be implemented in the area to reduce human-bat interactions and minimize spillover events, which can lead to sporadic outbreaks of NiV.

  13. Covid_cases_in_India

    • kaggle.com
    Updated Jul 10, 2021
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    Luv Harish Khati (2021). Covid_cases_in_India [Dataset]. https://www.kaggle.com/luvharishkhati/covid-cases-in-india
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 10, 2021
    Dataset provided by
    Kaggle
    Authors
    Luv Harish Khati
    Area covered
    India
    Description

    Hello all, this notebook consists of the patients suffering from corona virus from various states of India. This pandemic started from Kerala and it spread all over. If you will try to analyze the dataset, you will come to know that Maharashtra state have large number of positive results, also the recovery rate is high over there. This notebook clearly categorizes the positive result, death rates and the recovery rates of different states. Data visualization is done here which makes the case study more attractive and informative.

  14. f

    Table_1_Ayurvedic Response to COVID-19 Pandemic in Kerala, India and Its...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
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    Sharmila Mary Joseph; Divya S. Iyer; Rajmohan Velayudhan Pillai (2023). Table_1_Ayurvedic Response to COVID-19 Pandemic in Kerala, India and Its Impact on Quarantined Individuals – A Community Case Study.docx [Dataset]. http://doi.org/10.3389/fpubh.2021.732523.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Sharmila Mary Joseph; Divya S. Iyer; Rajmohan Velayudhan Pillai
    License

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

    Area covered
    India, Kerala
    Description

    The SARS-CoV-2 infection has resulted in massive loss of valuable human lives, extensive destruction of livelihoods and financial crisis of unprecedented levels across the globe. Kerala, a province in India, like the rest of the country, launched preventive and control measures to mitigate the impact of COVID-19 early in 2020. The Government of Kerala started 1206 Ayur Raksha Clinics and associated Task Forces across the state in April 2020 to improve the reach and penetration of Ayurvedic preventive, therapeutic and convalescent care strategies for the COVID-19 pandemic. The implementation framework of the strategy was properly designed, and had a decentralized, people-centered, and participatory approach. Kerala has robust public health machinery with adequate human resource and infrastructure in the conventional medicine sector. This community case study examines how the decentralized organizational framework was effectively utilized for facilitating the delivery of Ayurvedic services in the COVID-19 situation. Key observations from the study are: Ayurvedic programs implemented systematically, under an organized framework with social participation enables wider utilization of the services. Such a framework is easily replicable even in resource-poor settings. Rather than a pluralistic approach, an integrative health system approach may be more viable in the Kerala scenario in public health emergencies.

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CEICdata.com (2019). India COVID-19: As on Date: Number of Confirmed Cases: Kerala [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-confirmed-cases-kerala

India COVID-19: As on Date: Number of Confirmed Cases: Kerala

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Dataset updated
Dec 15, 2019
Dataset provided by
CEICdata.com
License

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

Time period covered
Dec 23, 2024 - Mar 24, 2025
Area covered
India
Description

COVID-19: As on Date: Number of Confirmed Cases: Kerala data was reported at 6,921,277.000 Case in 05 May 2025. This records an increase from the previous number of 6,921,265.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Confirmed Cases: Kerala data is updated daily, averaging 6,547,507.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 6,921,277.000 Case in 05 May 2025 and a record low of 22.000 Case in 15 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Kerala data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

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