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.

India reported almost 45 million cases of the coronavirus (COVID-19) as of October 20, 2023, with more than 44 million recoveries and about 532 thousand fatalities. The number of cases in the country had a decreasing trend in the past months.

Burden on the healthcare system

With the world's second largest population in addition to an even worse second wave of the coronavirus pandemic seems to be crushing an already inadequate healthcare system. Despite vast numbers being vaccinated, a new variant seemed to be affecting younger age groups this time around. The lack of ICU beds, black market sales of oxygen cylinders and drugs needed to treat COVID-19, as well as overworked crematoriums resorting to mass burials added to the woes of the country. Foreign aid was promised from various countries including the United States, France, Germany and the United Kingdom. Additionally, funding from the central government was expected to boost vaccine production.

Situation overview
Even though days in April 2021 saw record-breaking numbers compared to any other country worldwide, a nation-wide lockdown has not been implemented. The largest religious gathering - the Kumbh Mela, sacred to the Hindus, along with election rallies in certain states continue to be held. Some states and union territories including Maharashtra, Delhi, and Karnataka had issued curfews and lockdowns to try to curb the spread of infections.

Context

Analysis and Visualization of spread of coronavirus in India.

Content

The dataset raw_data.csv file, contains information about the coronavirus infected patients from time period 2-Feb-2020 to 27-March-2020. It has information of all the states, their districts and cities. The data is very much useful in realising the threats that are being caused by the virus and also the source from where it is being spread in India. Also the travel history of patients and their Current health Status makes it easier to develop a model and predict the covid19 hotspots in the nation.

Acknowledgements

We wouldn't be here without the help of covid19india website. The dataset was obtained from website mentioned.

Inspiration

The cases of coronavirus infected people are increasing, this has caused to serious health calamities across the country. This has led to huge crisis on healthcare and Medicine and also the organisations that work to face and tackle coronavirus. Therefore it is of great importance that the data needs to be analysed and solutions need to be found out by looking for parameters that will help take down the virus.

From April to August 2020 in India, the share of positive coronavirus COVID-19 cases has gradually been on the rise. From June to July 2020, the number of cases in the rural districts doubled. As of August 2020, more than half of India's share of COVID-19 cases were in the rural districts.

This dataset provides values for CORONAVIRUS CASES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli data was reported at 24.000 Case in 11 Jun 2020. This records an increase from the previous number of 20.000 Case for 10 Jun 2020. India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli data is updated daily, averaging 2.000 Case from May 2020 (Median) to 11 Jun 2020, with 37 observations. The data reached an all-time high of 24.000 Case in 11 Jun 2020 and a record low of 1.000 Case in 23 May 2020. India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli 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.

Just like any country, India has struggled against the coronavirus (COVID-19) pandemic. Various factors like financial inequality, inadequate healthcare, and a huge population have made the matter even worse. In April 2020, after conducting the maximum number of tests in the country, the state of Maharashtra was able to detect over 1,900 cases. For the same period, the state of Sikkim carried out the minimum number of tests with zero cases detected.

What do people think about COVID-19 in India?

According to an online survey in February 2020, when the respondents were asked about their opinion on the issue of coronavirus, over 70 percent of the participants showed belief in staying alert and taking precautions. However, 16 percent of participants believed that the virus will not have a major influence on the country. To learn how people from different age groups are dealing with the fear of catching the virus, another survey was conducted in March 2020. It was discovered that the millennials were the most scared of contracting the virus. On the other hand, baby boomers showed minimum fear.

Impact of COVID-19 on India’s economy

The coronavirus has influenced the Indian economy in many ways. China has a major share in India’s import and export market. Therefore, any strain on the Chinese economy directly shows its effect on India too. This is true for all major economies of the world. Apart from this, the internal trade in the country has also taken a huge hit due to a series of lockdowns. In April 2020, the overall cost of a complete lockdown in India was estimated at around 26 billion U.S. dollars. India’s gross domestic product (GDP) growth in the second quarter of 2020 was estimated to show a negative growth of nine percent. This was a huge decline as compared to the last quarter in which positive growth was observed.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Context

Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19 - World Health Organization

The number of new cases are increasing day by day around the world. This dataset has information from the states and union territories of India at daily level.

Data comes from Ministry of Health & Family Welfare

Content

COVID-19 cases at daily level is present in covid_19_india.csv file

Population at state level is present in population_india_census2011.csv file

Acknowledgements

Thanks to Indian Ministry of Health & Family Welfare for making the data available to general public.

Thanks to Wikipedia for population information.

Photo Courtesy - https://hgis.uw.edu/virus/

Inspiration

Looking for data based suggestions to stop / delay the spread of virus

This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated Thrice a Week]

COVID-19: As on Date: Number of Confirmed Cases: Delhi data was reported at 2,043,712.000 Case in 24 Feb 2025. This records an increase from the previous number of 2,043,711.000 Case for 17 Feb 2025. COVID-19: As on Date: Number of Confirmed Cases: Delhi data is updated daily, averaging 1,897,141.000 Case from Mar 2020 (Median) to 24 Feb 2025, with 1577 observations. The data reached an all-time high of 2,043,712.000 Case in 24 Feb 2025 and a record low of 7.000 Case in 16 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Delhi 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.

First reported in Wuhan, China, in December 2019, now more than 846,200 confirmed cases of COVID-19 are spread across 187 countries worldwide. The US and several countries in Europe such as Italy, Spain, and Belgium have continued to see a decrease in daily cases. Russia, Brazil, and Latin American countries are seeing increasing trends. India has also seen an increase in the number of new cases reported despite strict distancing measures taken early on.
Special populations analysis covered in the report include the following:
COVID-19 in children may result in systemic multisystem syndrome with severe outcomes.
Childhood routine vaccination rates drop during pandemic.
COVID-19’s impact in pregnant women unclear, though most cases are asymptomatic.
The COVID-19 pandemic could cause an increase in the prevalence of post-traumatic stress disorder (PTSD).
Complications of opioid addiction will be challenging for the management of disease during the COVID-19 pandemic. Read More

COVID-19: As on Date: Number of Confirmed Cases: Karnataka data was reported at 4,097,558.000 Case in 24 Mar 2025. This records an increase from the previous number of 4,097,557.000 Case for 17 Mar 2025. COVID-19: As on Date: Number of Confirmed Cases: Karnataka data is updated daily, averaging 3,949,446.000 Case from Mar 2020 (Median) to 24 Mar 2025, with 1581 observations. The data reached an all-time high of 4,097,558.000 Case in 24 Mar 2025 and a record low of 6.000 Case in 16 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Karnataka 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.

Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting both nationally and subnationally in India. These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively.

The outbreak of the novel coronavirus in Wuhan, China, saw infection cases spread throughout the Asia-Pacific region. By April 13, 2024, India had faced over 45 million coronavirus cases. South Korea followed behind India as having had the second highest number of coronavirus cases in the Asia-Pacific region, with about 34.6 million cases. At the same time, Japan had almost 34 million cases. At the beginning of the outbreak, people in South Korea had been optimistic and predicted that the number of cases would start to stabilize. What is SARS CoV 2?Novel coronavirus, officially known as SARS CoV 2, is a disease which causes respiratory problems which can lead to difficulty breathing and pneumonia. The illness is similar to that of SARS which spread throughout China in 2003. After the outbreak of the coronavirus, various businesses and shops closed to prevent further spread of the disease. Impacts from flight cancellations and travel plans were felt across the Asia-Pacific region. Many people expressed feelings of anxiety as to how the virus would progress. Impact throughout Asia-PacificThe Coronavirus and its variants have affected the Asia-Pacific region in various ways. Out of all Asia-Pacific countries, India was highly affected by the pandemic and experienced more than 50 thousand deaths. However, the country also saw the highest number of recoveries within the APAC region, followed by South Korea and Japan.

India COVID-19: As on Date: Total Number of Cured/Discharged/Migrated data was reported at 44,510,969.000 Case in 24 Mar 2025. This records an increase from the previous number of 44,510,964.000 Case for 17 Mar 2025. India COVID-19: As on Date: Total Number of Cured/Discharged/Migrated data is updated daily, averaging 42,576,815.000 Case from Mar 2020 (Median) to 24 Mar 2025, with 1581 observations. The data reached an all-time high of 44,510,969.000 Case in 24 Mar 2025 and a record low of 13.000 Case in 16 Mar 2020. India COVID-19: As on Date: Total Number of Cured/Discharged/Migrated 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 Cured/Discharged/Migrated: Maharashtra data was reported at 8,029,765.000 Case in 17 Mar 2025. This records an increase from the previous number of 8,029,764.000 Case for 10 Mar 2025. COVID-19: As on Date: Number of Cured/Discharged/Migrated: Maharashtra data is updated daily, averaging 7,730,909.000 Case from Mar 2020 (Median) to 17 Mar 2025, with 1580 observations. The data reached an all-time high of 8,029,765.000 Case in 17 Mar 2025 and a record low of 0.000 Case in 24 Mar 2020. COVID-19: As on Date: Number of Cured/Discharged/Migrated: Maharashtra 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.

Context

Analysis and Visualization of spread of coronavirus in India.

Content

The dataset raw_data.csv file, contains information about the coronavirus infected patients from time period 2-Feb-2020 to 14-April-2020 in India. It has information of all the states, their districts and cities. The data is very much useful in realising the threats that are being caused by the virus and also the source from where it is being spread in India. Also the travel history of patients and their Current health Status makes it easier to develop a model and predict the covid19 hotspots in the nation.

Acknowledgements

We wouldn't be here without the help of covid19india website. The dataset was obtained from website mentioned.

Inspiration

The cases of coronavirus infected people are increasing, this has caused to serious health calamities across the country. This has led to huge crisis on healthcare and Medicine and also the organisations that work to face and tackle coronavirus. Therefore it is of great importance that the data needs to be analysed and solutions need to be found out by looking for parameters that will help take down the virus.

As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

COVID-19: As on Date: Number of Cured/Discharged/Migrated: Tamil Nadu data was reported at 3,574,108.000 Case in 17 Mar 2025. This records an increase from the previous number of 3,574,107.000 Case for 10 Mar 2025. COVID-19: As on Date: Number of Cured/Discharged/Migrated: Tamil Nadu data is updated daily, averaging 3,416,078.000 Case from Mar 2020 (Median) to 17 Mar 2025, with 1580 observations. The data reached an all-time high of 3,574,108.000 Case in 17 Mar 2025 and a record low of 0.000 Case in 18 Mar 2020. COVID-19: As on Date: Number of Cured/Discharged/Migrated: 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.

BackgroundRecent studies on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveal that Omicron variant BA.1 and sub-lineages have revived the concern over resistance to antiviral drugs and vaccine-induced immunity. The present study aims to analyze the clinical profile and genome characterization of the SARS-CoV-2 variant in eastern Uttar Pradesh (UP), North India.MethodsWhole-genome sequencing (WGS) was conducted for 146 SARS-CoV-2 samples obtained from individuals who tested coronavirus disease 2019 (COVID-19) positive between the period of 1 January 2022 and 24 February 2022, from three districts of eastern UP. The details regarding clinical and hospitalized status were captured through telephonic interviews after obtaining verbal informed consent. A maximum-likelihood phylogenetic tree was created for evolutionary analysis using MEGA7.ResultsThe mean age of study participants was 33.9 ± 13.1 years, with 73.5% accounting for male patients. Of the 98 cases contacted by telephone, 30 (30.6%) had a travel history (domestic/international), 16 (16.3%) reported having been infected with COVID-19 in past, 79 (80.6%) had symptoms, and seven had at least one comorbidity. Most of the sequences belonged to the Omicron variant, with BA.1 (6.2%), BA.1.1 (2.7%), BA.1.1.1 (0.7%), BA.1.1.7 (5.5%), BA.1.17.2 (0.7%), BA.1.18 (0.7%), BA.2 (30.8%), BA.2.10 (50.7%), BA.2.12 (0.7%), and B.1.617.2 (1.3%) lineages. BA.1 and BA.1.1 strains possess signature spike mutations S:A67V, S:T95I, S:R346K, S:S371L, S:G446S, S:G496S, S:T547K, S:N856K, and S:L981F, and BA.2 contains S:V213G, S:T376A, and S:D405N. Notably, ins214EPE (S1- N-Terminal domain) mutation was found in a significant number of Omicron BA.1 and sub-lineages. The overall Omicron BA.2 lineage was observed in 79.5% of women and 83.2% of men.ConclusionThe current study showed a predominance of the Omicron BA.2 variant outcompeting the BA.1 over a period in eastern UP. Most of the cases had a breakthrough infection following the recommended two doses of vaccine with four in five cases being symptomatic. There is a need to further explore the immune evasion properties of the Omicron variant.