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.

Context: COVID-19 Cases are on the rise in India. This dataset allows one to model the spread of COVID-19 in India.

Content: The data shows the number of total confirmed covid-19 cases per day in India.

Acknowledgement: This data comes from the Free COVID-19 API and can be found at https://documenter.getpostman.com/view/10808728/SzS8rjbc.

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.

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.

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?

India COVID-19: As on Date: Total Number of Confirmed Cases data was reported at 45,044,752.000 Case in 28 Apr 2025. This records an increase from the previous number of 45,044,668.000 Case for 21 Apr 2025. India COVID-19: As on Date: Total Number of Confirmed Cases data is updated daily, averaging 43,124,585.500 Case from Mar 2020 (Median) to 28 Apr 2025, with 1586 observations. The data reached an all-time high of 45,044,752.000 Case in 28 Apr 2025 and a record low of 110.000 Case in 15 Mar 2020. India COVID-19: As on Date: Total Number of Confirmed Cases 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.

Content

The WHO coronavirus (COVID-19) dashboard presents official daily counts of COVID-19 cases, deaths and vaccine utilization reported by countries, territories and areas. Through this dashboard, we aim to provide a frequently updated data visualization, data dissemination and data exploration resource, while linking users to other useful and informative resources.

Caution must be taken when interpreting all data presented, and differences between information products published by WHO, national public health authorities, and other sources using different inclusion criteria and different data cut-off times are to be expected. While steps are taken to ensure accuracy and reliability, all data are subject to continuous verification and change. All counts are subject to variations in case detection, definitions, laboratory testing, vaccination strategy, and reporting strategies.

Acknowledgements

© World Health Organization 2020, All rights reserved.

WHO supports open access to the published output of its activities as a fundamental part of its mission and a public benefit to be encouraged wherever possible. Permission from WHO is not required for the use of the WHO coronavirus disease (COVID-19) dashboard material or data available for download. It is important to note that:

WHO publications cannot be used to promote or endorse products, services or any specific organization.

WHO logo cannot be used without written authorization from WHO.

WHO provides no warranty of any kind, either expressed or implied. In no event shall WHO be liable for damages arising from the use of WHO publications.

For further information, please visit WHO Copyright, Licencing and Permissions.

Citation: WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/

Inspiration

Daily cases start increasing suddenly just before the new year and there's a fear for the upcoming wave. Everybody starts to predict the peak cases in the 3rd wave and the date the peak will be reached. Assume you are in the 1st week of January 2022 and there's panic in the country, for the Omicron variant is said to be highly transmittable. Using your machine learning and deep learning skills, you have to create a model that predicts accurately the peak for the 3rd wave.

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 MERS and SARS. The most recently discovered coronavirus causes COVID-19 - World Health Organization (WHO).

The number of new cases is increasing day by day around the world. This dataset has information for states of India at a daily level.

Content

COVID-19 cases at a daily level is present in COVID_19_INDIA.csv file

Acknowledgements

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

Thanks to covid19india.org for making the individual level details and testing details available to the general public.

India COVID-19: As on Date: Total Number of Active Cases data was reported at 35.000 Case in 05 May 2025. This records an increase from the previous number of 29.000 Case for 28 Apr 2025. India COVID-19: As on Date: Total Number of Active Cases data is updated daily, averaging 44,029.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 3,745,237.000 Case in 10 May 2021 and a record low of 1.000 Case in 24 Feb 2025. India COVID-19: As on Date: Total Number of Active Cases 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.

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.

COVID-19: As on Date: Number of Active Cases: Maharashtra data was reported at 5.000 Case in 05 May 2025. This records an increase from the previous number of 2.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Active Cases: Maharashtra data is updated daily, averaging 6,087.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 701,614.000 Case in 23 Apr 2021 and a record low of 0.000 Case in 21 Apr 2025. COVID-19: As on Date: Number of Active Cases: 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

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

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.

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.

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.

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.

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

India COVID-19: As on Date: Total Number of Cured/Discharged/Migrated data was reported at 44,511,086.000 Case in 05 May 2025. This records an increase from the previous number of 44,511,058.000 Case for 28 Apr 2025. India COVID-19: As on Date: Total Number of Cured/Discharged/Migrated data is updated daily, averaging 42,584,710.000 Case from Mar 2020 (Median) to 05 May 2025, with 1587 observations. The data reached an all-time high of 44,511,086.000 Case in 05 May 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.

The Asia Pacific COVID-19 diagnostics market is being aided by the growing cases of COVID-19 infections in India and China, which have performed around 234 million and 160 million tests, respectively, for COVID-19 as of March 2021.

Coronavirus Diagnostics Market Outlook

The global coronavirus diagnostics market size was estimated at USD 20.5 billion in 2023 and is projected to reach USD 34.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.1% from 2024 to 2032. The growth of this market is majorly driven by the ongoing demand for accurate and rapid diagnostic solutions to manage the COVID-19 pandemic and potential future waves or outbreaks of coronavirus variants.

The primary growth factor in the coronavirus diagnostics market is the continuous need for efficient and timely diagnosis, which is crucial for managing the spread of COVID-19 and other coronaviruses. As new variants of the virus continue to emerge, the need for robust diagnostic testing remains high to ensure early detection and appropriate treatment. Governments and healthcare organizations worldwide have heavily invested in diagnostic infrastructures, further propelling the market growth. Additionally, the integration of advanced technologies such as AI and machine learning in diagnostic tools has improved accuracy and speed, contributing to market expansion.

Another significant growth factor is the increase in the global aging population, which is more susceptible to severe outcomes from COVID-19 infections. Older adults often have comorbid conditions that necessitate regular and reliable testing to manage their health effectively. The pandemic has highlighted the need for improved healthcare systems and diagnostics, leading to long-term investments in this sector. Moreover, public awareness regarding the importance of early diagnosis and preventive healthcare has surged, encouraging the adoption of regular testing protocols even post-pandemic.

Furthermore, the rising number of diagnostic laboratories and the expansion of point-of-care testing facilities have significantly contributed to the market growth. The convenience and accessibility of point-of-care testing have made it a preferred option for many individuals, reducing the burden on centralized laboratories and speeding up the diagnosis process. Additionally, the development and approval of various types of COVID-19 tests, including molecular, antigen, and serology tests, have provided multiple options for accurate and timely diagnosis, catering to different needs and scenarios.

Regionally, North America and Europe have been at the forefront of the coronavirus diagnostics market due to their advanced healthcare infrastructure and significant investments in healthcare R&D. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period. This growth can be attributed to the large population base, increasing healthcare expenditure, and the rising prevalence of COVID-19 cases in countries like India and China. Government initiatives to enhance healthcare infrastructure and increased awareness about the importance of diagnostics will further drive the market in this region.

Test Type Analysis

The coronavirus diagnostics market is segmented by test type into molecular tests, serology tests, and antigen tests, each playing a critical role in managing the pandemic. Molecular tests, particularly RT-PCR, have been the gold standard for COVID-19 diagnosis due to their high sensitivity and specificity. RT-PCR tests detect the viral RNA, making them effective for early detection even in asymptomatic cases. The demand for molecular tests has surged due to their accuracy, driving advancements in this segment, including the development of rapid PCR tests that reduce the time required for diagnosis.

Serology tests, which detect antibodies produced in response to SARS-CoV-2 infection, are essential for understanding the spread of the virus within a population and identifying individuals who have developed immunity. These tests have been pivotal for epidemiological studies and vaccine efficacy assessments. The development of high-throughput and point-of-care serology tests has expanded their usage, making them a valuable tool in both clinical and research settings. Despite their usefulness, the market for serology tests faces challenges such as the variability in antibody response among individuals and the need for standardized testing protocols.

Antigen tests provide a rapid diagnostic solution by detecting specific proteins from the virus. These tests are less complex and quicker compared to molecular tests, making them suitable for mass screening and use in resource-limited settings. The convenience and speed of antigen tests have led to their widespread adoption in various scenarios