medRxiv · 2020 · 15 citations · 14 references
Veterinary MedicineInfectious Disease ControlInfectious DiseasesEmerging Infectious DiseasesInfectious Disease EpidemiologyVirologyDisease EpidemiologyIncubation Period AnalysisInfectious Disease DynamicsTransmission DynamicsViral EpidemiologyVirus EpidemiologyEpidemic ContagionHerd Immunity AssessmentHerd Immunity ModelingIncubation Period DistributionMathematical Modeling Of Viral SpreadPathogen Incubation PeriodReproduction Number AnalysisWeibull Model
Abstract Novel coronavirus (COVID-19) rapidly spread from China to other parts of the world. Knowledge of incubation period and reproduction number is important in controlling any epidemic. The distribution of these parameters helps estimate the epidemic size and transmission potential of the disease. We estimated incubation period and reproduction number of COVID-19 for India utilizing data reported by Ministry of Health and Family Welfare (MoHFW), Government of India (GOI) and data in public domain. The mean incubation period seems to be larger at 6.93 (SD=±5.87, 95% CI: 6.11-7.75). and 95 th percentile estimate for best fit normal distribution is 17.8 days. Weibull distribution, the best fit for the reproduction number estimated pre lockdown reproduction number as 2.6 (95% CI=2.34 - 2.86) and post lockdown reduced to 1.57 (95% CI=1.3 – 1.84) implying effectiveness of the epidemic response strategies. The herd immunity is estimated between 36-61% for R 0 of 1.57 and 2.6 respectively.
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A Novel Coronavirus from Patients with Pneumonia in China, 2019
Na Zhu, Dingyu Zhang, Xingwang Li et al. · New England Journal of Medicine · 2020 · 30.4K citations · Full text
Stephen A. Lauer, Kyra H. Grantz, Qifang Bi et al. · Annals of Internal Medicine · 2020 · 6.6K citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +17
Shi Zhao, Qianyin Lin, Jinjun Ran et al. · International Journal of Infectious Diseases · 2020 · 2K citations · Full text
Life Sciences, Infectious Diseases, Infectious Disease Epidemiology +14