Doubling Time and Its Interpretation for COVID-19 Cases: A Comparative Study in Pimpri Chinchwad Municipal Corporation, Pune, Maharashtra, India
Parth Aphale, Aditya Dilipkumar Patil, Dharmendra B. Sharma
Journal of Pharmaceutical Research International · pp. 75–83 · Published 29 Jul 2021
10.9734/jpri/2021/v33i39A32144Abstract
Background: COVID-19, also known as Novel Corona Virus, causes respiratory disorder in humans and has been declared as a global pandemic in the first quarter of the year 2020 by the World Health Organization. As this pandemic persists the second, third and fourth quarters had shown variation in COVID-19 cases. In the first quarter of the year 2021 again there seems to be a rise in cases of COVID-19. So, a comparative analysis from March 2020 – April 2021 of COVID-19 cases has been studied. Methodology: An exponential statistical model was used to calculate the predicted value of COVID-19 using doubling time for a short duration. The cases of COVID-19 were predicted from 10th April 2021 to 10th June 2021 using doubling time and exponential regression method. Results: The distribution of cases showed a curve-linear trend over the last one year. We explored various models like exponential, logarithmic (lo-linear), linear, quadratic, and generalized linear model (GLM) to fit into the observed distribution of cases. Since the distribution of cases was perfectly following a linear trend in each of the four segments, we applied a linear regression model to observed distribution and then predicted the anticipated no. of cases by extending this linear trend to a future period (120 day). With the help of the exponential statistical model, doubling time/rate based on prior 9 days, the predictions of up to 2.61 lakhs cases have been done by the end of June 2021. Conclusion: This study will be useful for the Government of India and Maharashtra state-specific to Pimpri- Chinchwad Municipal Corporation (PCMC), Administrative Units, Frontline health workforce, researchers, and scientists. From this study it has been evident that during the pre-lockdown period, in the initial stages there seems to be rise in cases. While, during lockdown period it was observed that there was relatively decrease in the number of cases. After the government authorities imposed the unlock strategies the cases began to rise as compared to the lockdown period. Thus, it appears that only essential services should be open for the citizens of India and the state lockdown should be carried on for the next 3 months (April 2021 - June 2021).
Cited by 0
No indexed citations yet.
Related research
- COVID 19 Disease Caused by Coronavirus 2 (SARS-CoV-2) (Severe Acute Respiratory Syndrome) — shares topic coverage
- Assessment of Anxiety in Healthcare Providers Working in ICU during COVID-19 Pandemics — shares topic coverage
- Azithromycin and Hydroxychloroquine Accelerate Recovery of Outpatients with Mild/Moderate COVID-19 — shares topic coverage
- Elevated Levels of Lactate Dehydrogenase Predicts Poor Outcomes for Patients with COVID-19: A Review — shares topic coverage
- Addressing the Challenges of Containing Covid-19 Spread in a Rural, Poor Area in India: A Case Study — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.