Development of the India COVID-19 vaccine tracker : Indian Journal of Medical Research

Secondary Logo

Journal Logo

Practice: Special Report

Development of the India COVID-19 vaccine tracker

Singh, Harpreet1; Lohia, Rohan4; George, Leyanna Susan2; Gupta, Nivedita3,; Thangaraj, Jeromie Winsley13; Rana, Salaj1; Rana, Shweta1; Kaur, Jasmine1; Shivam, Shashwat4; Arora, Narendra Kumar12; Muliyil, Jai Prakash14; Murhekar, Manoj V.13; Lodha, Rakesh5; Pandey, R.M.6; Rao, Vishnu Vardhan7; Dhandore, Suhas8; Malik, Akash11; Kumar, Vijay9; Tripathi, Ankit10; Panda, Samiranδ; Bhargava, Balram

Author Information
Indian Journal of Medical Research: May–Jun 2022 - Volume 155 - Issue 5&6 - p 513-517
doi: 10.4103/ijmr.ijmr_3500_21
  • Open


COVID-19 was declared a pandemic by the World Health Organization (WHO) on March 11, 20201. Since then, intense efforts have been undertaken by global stakeholders to develop safe and effective vaccines for disease prevention and control. Several vaccines based on viral vector, subunit, nucleic acid and inactivated whole virion have been developed and used for immunizing people across the world2. Till date, 11 vaccines have been included in the WHO’s emergency use list3. Vaccine development under this unprecedented public health emergency has been undertaken in an expedited mode, curtailing the conventional pathways of 10-15 yr to less than a year4. Once convincing data on safety, immunogenicity and interim efficacy were available, vaccines were introduced into the public health programmes5. However, their ability to reduce or stop COVID-19 transmission is still unknown. Moreover, emergence and spread of variant strains of SARS-CoV-2 has altered the disease transmission dynamics, thus creating a need for continuously monitoring the real-world effectiveness of various vaccines and assessing their overall impact on disease control. The currently deployed vaccines are disease modifying in nature, where mild post-vaccination breakthrough infections are expected, but overall disease severity is reduced6. In view of this, many countries across the world started capturing data related to the number of hospitalizations and deaths due to post-vaccination breakthrough infections. The ‘World Vaccination Tracker’ reports COVID-19 vaccination coverage and uptake across the world, based on government reports7. The Centers for Disease Control and Prevention (CDC), USA, and the UK Health Security Agency also maintain a vaccination coverage tracker89.

India launched concerted efforts to develop and manufacture safe and effective COVID-19 vaccines at the inception of the pandemic. Covishield (ChAl Ox1), the viral vector vaccine, and Covaxin (BBV154), an inactivated whole virion vaccine, were accorded restricted emergency use authorization in India and deployed in the public health programme on January 16, 2021. Starting from healthcare and frontline workers, the vaccination programme was extended in a phased manner10. For a country like India, it was important to collect and interpret the programmatic data meaningfully to get useful insights about vaccine effectiveness (VE). To realize this goal, the India COVID-19 Vaccination Tracker was developed and launched11. Three major national databases were harmonized to elicit reliable information related to the proportion of post-vaccination breakthrough infections and their association with the number of doses received and age-specific mortality trends. Here, we describe the efforts of establishing data synergies to develop the India COVID-19 Vaccination Tracker for the public and policymakers.

Description of available databases

COVID-19 data were captured from three major databases in India:

(i) CoWIN vaccination database is hosted by the National Health Authority and Ministry of Health and Family Welfare (MoHFW), Government of India (GoI) with other partners. Beneficiaries need to mandatorily register on CoWIN prior to and at the time of vaccination1213. Data related to the approved vaccines (Covishield, Covaxin, Sputnik V and Corbevax) in India were captured.

(ii) National COVID-19 testing database: Information related to the socio-demographic details, date and place of sample collection/testing, indication for testing, clinical symptoms and signs, hospitalization details and COVID-19 vaccination status was captured from the ICMR Specimen Referral Form for COVID-1914. This information was essentially filled up all across the country in the reverse transcription (RT)-PCR web-based application at the time of sample collection from all individuals15.

(iii) COVID-19 India portal is maintained by the MoHFW, GoI and captures outcomes related to hospitalization and death of laboratory confirmed COVID-19 patients16. This centrally hosted database receives information from each State government after due verification of the reported outcomes by the State-level committees.

Constitution of Vaccine Data Analytics Committee

A Vaccine Data Analytics Committee (VDAC) consisting of a multidisciplinary team of independent experts was constituted to advise on the various modalities of the proposed tracker. VDAC reviewed the data related to COVID-19 testing, vaccination and patient outcomes available in the three different databases; assessed the feasibility of integration of different databases and advised on the various data points and projection of the proposed vaccination tracker.

Integration of databases

The COVID-19 India portal and the National COVID-19 testing database were synchronized since inception, through a common ICMR identification number (ID). However, due to the lack of a common unique identifier between the National COVID-19 testing database and CoWIN, establishing data synergy proved to be challenging. Therefore, single and combination keys were explored using identifiers including names, place of residence, telephone numbers and unique citizen identification or Aadhar number17. With uniform consensus, the use of mobile phone numbers was considered the most common identifier for linking data between the national testing and CoWIN databases. Since both these databases allow registration of multiple individuals using a single mobile number, for each matched mobile number, name of the individual was compared using string (Levenshtein distance)18 and phonetic comparison (Soundex and Metaphone)19. Once these two databases were linked, the data were tracked in the COVID-19 India portal with the help of the ICMR ID. Vaccination status of all patients was recorded at the time of testing, and data were then retrieved and validated from CoWIN.

Data retrieval, validation and analysis

Following integration of the three databases, individuals vaccinated with any of the three approved vaccines (Covishield, Covaxin and Sputnik V) were included in the overall analysis in three different age groups: 18-44, 45-59 and ≥60 yr. Data filters were applied to retrieve information of all individuals ≥18 yr who died of COVID-19 after vaccination, irrespective of the time between vaccination and test positivity. Information related to COVID-19 deaths in unvaccinated individuals was also retrieved. Data retrieved from all the three sources were analyzed to calculate VE against mortality. Reliable estimates of VE against hospitalization could not be made due to issues related to data quality. VE was calculated using a cohort approach and person-time analysis. The weekly aggregated number of vaccinated and unvaccinated COVID-19 deaths was estimated during the 23 wk period ranging from April 12 to August 15, 2021, using the three databases.

The total Indian adult population eligible for vaccination for the above-mentioned time period was 944,709,598 (data shared by MoHFW on August 8, 2021). The population was divided into three categories – unvaccinated, vaccinated with one dose only and those who were fully vaccinated. The change in population size of the group was calculated for every week ending after the date of inception of the study, i.e. April 12, 2021. This change in population size of each week was multiplied by the number of weeks since the date of the inception. The sum of this multiplication for the entire category was the person-week-time for that specific category. Hence, the person-week-time was calculated to be 11,814,967,229 for the unvaccinated category, 3,003,281,183 for people vaccinated with only one dose and 944,415,859 for the fully vaccinated population at the end of 18 wk since the date of inception till August 15, 2021. The incidence rate for each category was calculated by dividing the number of deaths in each category by the total person-week-time of that category. The VE [95% confidence interval (CI)] was calculated as one-rate ratio (RR). The RR for one dose is the ratio of incidence rate of the population vaccinated with one dose divided by the incidence rate of the unvaccinated population and was equal to 3.4 per cent and subsequently, the VE for one dose was calculated to be 96.6 per cent. Similarly, for fully vaccinated category, the RR is the incidence rate of population vaccinated with two doses divided by the incidence rate of the unvaccinated population and was calculated to be 2.5 per cent and subsequently, the VE for two doses was calculated to be 97.5 per cent. To validate the data, cross-verification of 50 per cent of the entries was randomly done between the National COVID-19 testing database and CoWIN vaccination database. Matching for name, age, sex and phone numbers was undertaken.

Challenges in data retrieval and measures taken to overcome

The COVID-19 testing database and COVID-19 India portal were completely synchronized due to the use of ICMR ID as the common identifier in both these databases. However, linking CoWIN vaccination database with the other two databases posed challenges due to the lack of a single common identifier. CoWIN database captures information of the vaccination site, while the national testing database captures location of the testing site. Therefore, linking this information was difficult. Unique citizen identification or Aadhar numbers were explored but were available only for 10 per cent of the patients. Despite these limitations, the use of mobile numbers was considered the most feasible option for linking CoWIN and testing databases. The challenges involved people providing different phone numbers at the time of testing and vaccination, both databases permitting registration of multiple beneficiaries using a single mobile number and people getting tested multiple times and providing different mobile numbers each time. Information retrieved through mobile numbers was supplemented by using a composite key comprising other identifiers such as place of residence, names and Aadhar number. Further, using ‘Deterministic’ alignment of mobile/Aadhar numbers and ‘Probabilistic alignment’ of names of States/districts with a probability cut-off point 0.8, data were linked and these challenges were overcome.

Another challenge faced was to ensure the acceptable quality of data for making meaningful interpretation since data entry was carried out at the field level across thousands of vaccination and testing sites. Timeliness of data, completeness and uniformity also varied across States. To overcome these issues, a huge volume of data were filtered, edited and merged by inserting appropriate data filters. Even after cleaning and loss of erroneous data, a substantial amount of validated data were retrieved for informed decision-making. All these measures led to nearly 90 per cent data synchronization between the CoWIN and the other two databases and complete linkage of the testing and the outcome databases.

Even though several attempts were made to retrieve reliable information regarding COVID-19-related hospitalization, the inadequacies in data, lack of completeness and timely entry of data by States affected its quality making it difficult to be analyzed. Therefore, the vaccine tracker focussed on VE in terms of reduction of mortality and not on hospitalizations.

Comparison with other vaccine trackers across the globe

The India COVID-19 Vaccination Tracker was officially launched on September 9, 2021 and displayed on the website of the Ministry of Health and Family Welfare11. The tracker displays data related to age-specific mortality reduction in partially and fully vaccinated individuals in three different age groups: 18-44, 45-59 and ≥60 yr and overall VE against mortality for all the three licensed vaccines in the country. The tracker is updated monthly due to the time taken for data verification and reporting from States.

The UK tracker reports the COVID-19 vaccination coverage with the first, second and booster doses; number of COVID-19 tests conducted; hospitalizations; deaths and geographic distribution of cases. VE or breakthrough infections are not captured9. The CDC tracker also depicts vaccination coverage, demographic profile, overall disease trends, vaccination equity measured by social vulnerability index, effectiveness against infection, hospitalization and death. Outcomes are measured in different populations such as long-term care facility residents, healthcare providers, first responders, frontline workers and veterans8. Both UK and CDC trackers do not depict the VE. The India vaccine tracker depicts the overall VE in preventing COVID-19 deaths. It also gives an age-wise COVID-19 mortality based on vaccination status and proportion of people vaccinated with one and two doses. Other details regarding COVID-19 vaccination trends as per dose, age, gender, vaccine type, State- and district-wise distribution, rural versus urban trends, coverage, etc. are provided on the CoWIN dashboard12.


Monitoring real-world safety and effectiveness of COVID-19 vaccines is critical to maintain public trust and allay vaccine hesitancy to improve uptake. India COVID-19 vaccine tracker will display periodically updated information on these aspects thereby ensuring data transparency. The tracker is expected to augment and maintain the momentum of one of the world’s largest COVID-19 vaccination drives.

Financial support & sponsorship: None.

Conflicts of Interest: None.


1. Cucinotta D, Vanelli M WHO declares COVID-19 a pandemic Acta Biomed 2020 91 157 60
2. World Health Organization COVID-19 Vaccine Tracker Available from: accessed on November 1, 2021
3. World Health Organization WHO validates 11th vaccine for COVID-19 Available accessed on May 19, 2022
4. Krammer F SARS-CoV-2 vaccines in development Nature 2020 586 516 27
5. World Health Organization Accelerating a safe and effective COVID-19 vaccine Available from: ch-on-novel-coronavirus-2019-ncov/accelerating-a-safe-and-effective-covid-19-vaccine accessed on November 1, 2021
6. Gupta N, Kaur H, Yadav PD, Mukhopadhyay L, Sahay RR, Kumar A, et al. Clinical characterization and genomic analysis of samples from COVID-19 breakthrough infections during the second wave among the various states of India Viruses 2021 13 1782
7. The New York Times, Tracking coronavirus vaccinations around the world Available from: accessed on November 1, 2021
8. Centers for Disease Control and Prevention, OVID data tracker Available from: accessed on November 1, 2021
9. Gov UK Coronavirus (COVID-19) in the UK. Vaccinations in United Kingdom Available from: accessed on November 1, 2021
10. Ministry of Health &Family Welfare, Government of India. Revised guidelines for implementation of national COVID vaccination program Available from: accessed on November 1, 2021
11. India COVID-9 Vaccine Tracker Available from: accessed on November 29, 2021
12. CoWIN Available from: accessed on October 5, 2021
13. Ministry of Health and Family Welfare, Government of India. Guidance doc COWIN 2.0 Available from: accessed on November 1, 2021
14. Indian Council of Medical Research, ICMR specimen referral form for COVID-19 (SARS-CoV2) Available from: accessed on October 5, 2021
15. Indian Council of Medical Research. Information for COVID-19 testing labs Available from: accessed on October 5, 2021
16. Government of India. IndiaFightsCorona COVID-19 Available from: accessed on October 5, 2021
17. Unique Identification Authority of India, Government of India What is Aadhaar Available from: accessed on October 5, 2021
18. The Levenshtein distance algorithm Available from: accessed on November 22, 2021
19. Stack Overflow. Machine learning –Metaphone versus soundex versus NYSIIS Available from: accessed on November 22, 2021

COVID-19; CoWIN; India; vaccine effectiveness; vaccine tracker

Copyright: © 2022 Indian Journal of Medical Research