Age specificity of cases and attack rate of novel coronavirus disease (COVID-19)
Mizumoto, K.; Omori, R.; Nishiura, H.
Show abstract
Age distribution of the cases with novel coronavirus disease (COVID-19) is rather different from that of influenza. In China, there were few reported cases among children [1] and serious or fatal child cases were also very infrequent. The age specificity is particularly important in designing details of social distancing, including school closure, as interventions, which is now recognized as the mainstream of interventions against COVID-19. Investigating the details of contacts, substantial susceptibility among children was demonstrated [2], but further insights into underlying mechanisms should be explored. Here we examined the age distribution of COVID-19 cases in Japan from January to March, 2020.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Health seeking behaviors of patients with acute respiratory infections during the outbreak of novel coronavirus disease 2019 in Wuhan, China 90%
- Evaluating seasonal variations in human contact patterns and their impact on the transmission of respiratory infectious diseases 90%
- Epidemiological and clinical features of SARS-CoV-2 Infection in children during the outbreak of Omicron Variant in Shanghai, March 7-March 31, 2022 88%
Similar papers in this journal
- Ascertainment rate of novel coronavirus disease (COVID-19) in Japan 91%
- Lockdown may partially halt the spread of 2019 novel coronavirus in Hubei province, China 89%
- Effectiveness of inactive COVID-19 vaccines against severe illness in B.1.617.2 (Delta) variant-infected patients in Jiangsu, China 89%
Similar papers in this journal
- Effectiveness of mRNA COVID-19 vaccines against symptomatic SARS-CoV-2 infections during the Delta variant epidemic in Japan: Vaccine Effectiveness Real-time Surveillance for SARS-CoV-2 (VERSUS) 88%
- A Tool to Early Predict Severe 2019-Novel Coronavirus Pneumonia (COVID-19) : A Multicenter Study using the Risk Nomogram in Wuhan and Guangdong, China 87%
- The Nicaraguan Pediatric Influenza Cohort Study, 2011-2019: influenza incidence, seasonality, and transmission 86%
Similar papers in this journal
- Predicting hosts based on early SARS-CoV-2 samples and analyzing later world-wide pandemic in 2020 91%
- The impact of temperature on the transmission potential and virulence of COVID-19 in Tokyo, Japan 91%
- Age- and gender-dependent differences in attitudes towards COVID-19 vaccination and underlying psychological processes 90%
Similar papers in this journal
- Evolving epidemiology of novel coronavirus diseases 2019 and possible interruption of local transmission outside Hubei Province in China: a descriptive and modeling study 90%
- Epidemiology and Transmission of COVID-19 in Shenzhen China: Analysis of 391 cases and 1,286 of their close contacts 88%
- The clinical characteristics of COVID-19: a retrospective analysis of 104 patients from the outbreak on board the Diamond Princess cruise ship in Japan 87%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.