COVID-19: As on Date: Number of Active Cases: Tamil Nadu data was reported at 14.000 Case in 05 May 2025. This records a decrease from the previous number of 16.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Active Cases: Tamil Nadu data is updated daily, averaging 3,626.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 313,048.000 Case in 28 May 2021 and a record low of 0.000 Case in 21 Apr 2025. COVID-19: As on Date: Number of Active Cases: Tamil Nadu 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.

COVID-19: As on Date: Number of Confirmed Cases: Tamil Nadu data was reported at 3,612,230.000 Case in 05 May 2025. This records an increase from the previous number of 3,612,216.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Confirmed Cases: Tamil Nadu data is updated daily, averaging 3,454,652.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 3,612,230.000 Case in 05 May 2025 and a record low of 1.000 Case in 18 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Tamil Nadu 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.

Tamil Nadu confirmed about 3.6 million cases of the coronavirus (COVID-19) as of October 20, 2023, with over 38 thousand fatalities and over 3.5 million recoveries. India reported more than 45 million confirmed cumulative cases, including this state that same day.

Coronavirus disease 2019 (COVID-19), also known as the coronavirus, or COVID, is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first known case was identified in Wuhan, China, in December 2019. The disease has since spread worldwide, leading to an ongoing pandemic. And this data is all about the COVID 19 Vaccination Coverage across Health Unit district wise in Tamil Nadu.

Content

Data columns (total 39 columns): Column

0 S.No
1 Health Unit District
2 Achievement towards vaccination of 1st Dosage Covishield to HCW
3 Achievement towards vaccination of 2nd Dosage Covishield to HCW
4 Achievement towards vaccination of 1st Dosage Covishield to FLW
5 Achievement towards vaccination of 2nd Dosage Covishield to FLW
6 Achievement towards vaccination of 1st Dosage Covishield to beneficiaries of 18 years and less than 44 years age group
7 Achievement towards vaccination of 2nd Dosage Covishield to beneficiaries of 18 years and less than 44 years age group
8 Achievement towards vaccination of 1st Dosage Covishield to beneficiaries of 45 years and less than 60 years age group with Comorbidities
9 Achievement towards vaccination of 2nd Dosage Covishield to beneficiaries of 45 years and less than 60 years age group with Comorbidities
10 Achievement towards vaccination of 1st Dosage Covishield to 60+ years beneficiaries with Comorbidities
11 Achievement towards vaccination of 2nd Dosage Covishield to 60+ years beneficiaries with Comorbidities
12 Total Achievement of vaccination to beneficiaries under 1st Dose of Covishield
13 Total Achievement of vaccination to beneficiaries under 2nd Dose of Covishield
14 Achievement towards vaccination of 1st Dosage Covaxin to HCW
15 Achievement towards vaccination of 2nd Dosage Covaxin to HCW
16 Achievement towards vaccination of 1st Dosage Covaxin to FLW
17 Achievement towards vaccination of 2nd Dosage Covaxin to FLW
18 Achievement towards vaccination of 1st Dosage Covaxin to beneficiaries of 18 years and less than 44 years age group
19 Achievement towards vaccination of 2nd Dosage Covaxin to beneficiaries of 18 years and less than 44 years age group
20 Achievement towards vaccination of 1st Dosage Covaxin to beneficiaries of 45 years and less than 60 years age group with Comorbidities
21 Achievement towards vaccination of 2nd Dosage Covaxin to beneficiaries of 45 years and less than 60 years age group with Comorbidities
22 Achievement towards vaccination of 1st Dosage Covaxin to 60+ years beneficiaries with Comorbidities
23 Achievement towards vaccination of 2nd Dosage Covaxin to 60+ years beneficiaries with Comorbidities
24 Total Achievement of vaccination to beneficiaries under 1st Dose of Covaxin
25 Total Achievement of vaccination to beneficiaries under 2nd Dose of Covaxin ...

This Zenodo resource contains the data used to perform analysis in the article "Sex-disaggregated Analysis of Risk Factors of COVID-19 Mortality Rates in India".

Data

The data is organized in the form of tables.

hypothesis-test-data

This table contains data used to perform the two tailed hypothesis test on gender mortality in different regions.

* Region
* Male_Deaths - Number of male COVID-19 deaths in region.  
* Female_Deaths - Number of female COVID-19 deaths in region.  
* Male_cases - Number of male COVID-19 positive in region.
* Female_cases - Number of female COVID-19 positive in region.

lasso-covid19India

This table contains data used for analysis on cases throughout India.

Columns from COVID-19 India data

* State_Code  
* State  
* District  
* Confirmed  
* Active  
* Recovered  
* Deceased

Columns taken from NFHS data

* Sex_ratio_of_the_total_population_females_per_1000_males  
* Women_whose_Body_Mass_Index_BMI_is_below_normal_BMI_185_kgm214_  
* Men_whose_Body_Mass_Index_BMI_is_below_normal_BMI_185_kgm2_  
* Women_who_are_overweight_or_obese_BMI_250_kgm214_  
* Men_who_are_overweight_or_obese_BMI_250_kgm2_  
* All_women_age_1549_years_who_are_anaemic_  
* Men_age_1549_years_who_are_anaemic_130_gdl_  
* Women_Blood_sugar_level_high_140_mgdl_  
* Men_Blood_sugar_level_high_140_mgdl_  
* Women_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_  
* Men_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_

lasso-KA+TN-bulletin

This table contains data used for analysis on the sub-cohort of Karnataka and Tamil Nadu.

Data from Media Bulletin

* District    
* Total_Positives  
* total_deaths
* male_deaths  
* female_deaths  
* Male_cases_in_data
* Female_cases_in_data

Calculated Data

* Estimated_Male_cases - Estimated male cases using total positives column and existing case data
* Estimated_Female_Cases - Estimated female cases using total positives column and existing case data  
* Male_Mortality - Estimated Male Cases / male_deaths
* Female_Mortality - Estimated Female Cases / female_deaths

Columns taken from NFHS data

* Sex_Ratio_females_every_1000_males
* State  Women_whose_Body_Mass_Index_BMI_is_below_normal_BMI_185_kgm214_  
* Men_whose_Body_Mass_Index_BMI_is_below_normal_BMI_185_kgm2_  
* Women_who_are_overweight_or_obese_BMI_250_kgm214_  
* Men_who_are_overweight_or_obese_BMI_250_kgm2_  
* All_women_age_1549_years_who_are_anaemic_  
* Men_age_1549_years_who_are_anaemic_130_gdl_  
* Women_Blood_sugar_level_high_140_mgdl_  
* Men_Blood_sugar_level_high_140_mgdl_  
* Women_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_  
* Men_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_

Code

The code is available at this Github Repository.

Details of Statistics showing the Positive, Active, Discharged, Death Cases of COVID 19 and OMICRON and Bed Vacancy Details in Tamil Nadu as on 12.03.2022

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)

Social media platforms have become integral tools in the conduct of foreign policy for many nations, including India. This dataset serves as a resource for analyzing ‘Social Media and India’s Foreign Policy: The Case Study of ‘X’ Diplomacy during the Covid-19 Pandemic.’ The data were collected through a web-based questionnaire distributed primarily to people aged 18 – 61 and above in India. A total of 171 valid data were collected from 17 states offering extensive geographic coverage and stored in Mendeley. The 15 contributor states are Goa, Maharashtra, Tamil Nadu, Gujarat, Delhi, Assam, Haryana, Jammu and Kashmir, Karnataka, Kerala, Punjab, Rajasthan, Tripura, Uttar Pradesh and West Bengal. It encompasses diverse question formats, including single-choice, multiple-choice, quizzes, and open-ended. The study underscores the opportunities and challenges of employing 'X' diplomacy in India's foreign policy. Thus, there were two hypotheses. First, India's effective use of 'X' diplomacy positively impacts public perception of India's foreign policy effectiveness. Second, India's adept use of 'X' diplomacy during the COVID-19 pandemic enhances its ability to manage and respond to the crisis effectively. This data shows public perception of the effective use of social media by the Government of India, particularly in the crisis situation. Data also highlight the significant change in India’s narrative through its ‘X’ diplomacy, effectively setting the narratives, public perceptions, and diplomatic strategies. This data can be fully utilized in the study of the significance of social media in India’s foreign policy, the role of social media like ‘X’ in the making of India’s foreign policy, how effective social media like ‘X’ was during the Covid-19 pandemic and how Indian government utilized social media like ‘X’ to delivered messages and to set the narrative in the international politics.

Summary statistics for the outcome and explanatory variables across 640 districts of India.