Outbreaks of infectious diseases have been on the rise in Pune, a city with diverse and fluctuating communities with differential access to nutrition and healthcare. Under the Health vertical, PKC proposed to establish collaborations to aid in understanding the prevalence of infectious diseases using vector dynamics and viral epidemics. Data will be collected at city-level and analyzed to understand its correlation with outbreaks and design better preventive measures the outbreaks and design better preventive measures.
Genome Sequencing: COVID-19
Waste Water Surveillance
Epidemiological and Clinical Database
Long-Term Immunogenicity Study
Sero-Survey: COVID-19
PKC has been facilitating cutting edge research in the health domain. Some of these efforts have been recognized and mentioned in internationally renowned scientific journals.
The band of five outbreak data analytics approach, which integrates five different types of data, highlights the importance of a strong surveillance system with high-quality meta-data for understanding the spatiotemporal evolution of the SARS-CoV-2 genome in Pune.
We examined growth of incident confirmed COVID-19 patients before, during and after lockdowns during the first wave in Pune city that reported the largest COVID-19 burden at the peak of the pandemic.
To assess trends in case incidence and fatality rate between the first and second waves, we analyzed programmatic COVID-19 data from Pune city, an epicenter of COVID-19 cases in India.
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