Transmission Dynamics of 2019 Novel Coronavirus (2019-nCoV)

Author(s):  
Tao Liu ◽  
Jianxiong Hu ◽  
Min Kang ◽  
Lifeng Lin ◽  
Haojie Zhong ◽  
...  
2020 ◽  
Vol 382 (13) ◽  
pp. 1199-1207 ◽  
Author(s):  
Qun Li ◽  
Xuhua Guan ◽  
Peng Wu ◽  
Xiaoye Wang ◽  
Lei Zhou ◽  
...  

Author(s):  
Andrea Maugeri ◽  
Martina Barchitta ◽  
Sebastiano Battiato ◽  
Antonella Agodi

Italy was the first country in Europe which imposed control measures of travel restrictions, quarantine and contact precautions to tackle the epidemic spread of the novel coronavirus (SARS-CoV-2) in all its regions. While such efforts are still ongoing, uncertainties regarding SARS-CoV-2 transmissibility and ascertainment of cases make it difficult to evaluate the effectiveness of restrictions. Here, we employed a Susceptible-Exposed-Infectious-Recovered-Dead (SEIRD) model to assess SARS-CoV-2 transmission dynamics, working on the number of reported patients in intensive care unit (ICU) and deaths in Sicily (Italy), from 24 February to 13 April. Overall, we obtained a good fit between estimated and reported data, with a fraction of unreported SARS-CoV-2 cases (18.4%; 95%CI = 0–34.0%) before 10 March lockdown. Interestingly, we estimated that transmission rate in the community was reduced by 32% (95%CI = 23–42%) after the first set of restrictions, and by 80% (95%CI = 70–89%) after those adopted on 23 March. Thus, our estimates delineated the characteristics of SARS-CoV2 epidemic before restrictions taking into account unreported data. Moreover, our findings suggested that transmission rates were reduced after the adoption of control measures. However, we cannot evaluate whether part of this reduction might be attributable to other unmeasured factors, and hence further research and more accurate data are needed to understand the extent to which restrictions contributed to the epidemic control.


Author(s):  
Kenji Mizumoto ◽  
Gerardo Chowell

AbstractAn outbreak of COVID-19 developed aboard the Princess Cruises Ship during January-February 2020. Using mathematical modeling and time-series incidence data describing the trajectory of the outbreak among passengers and crew members, we characterize how the transmission potential varied over the course of the outbreak. Our estimate of the mean reproduction number in the confined setting reached values as high as ∼11, which is higher than mean estimates reported from community-level transmission dynamics in China and Singapore (approximate range: 1.1-7). Our findings suggest that Rt decreased substantially compared to values during the early phase after the Japanese government implemented an enhanced quarantine control. Most recent estimates of Rt reached values largely below the epidemic threshold, indicating that a secondary outbreak of the novel coronavirus was unlikely to occur aboard the Diamond Princess Ship.


2020 ◽  
Author(s):  
Elinor Aviv-Sharon ◽  
Asaph Aharoni

Four months into the ongoing novel coronavirus disease 2019 (COVID-19) pandemic, this work provides a simple and direct projection of the outbreak spreading potential and the pandemic cessation dates in China, Iran, the Philippines and Taiwan, using the generalized logistic model (GLM). The short-term predicted number of cumulative COVID-19 cases matched the confirmed reports of those who were infected across the four countries, suggesting GLM as a valuable tool for characterizing the transmission dynamics process and the trajectory of COVID-19 pandemic along with the impact of interventions.


Author(s):  
Arif Masrur ◽  
Manzhu Yu ◽  
Wei Luo ◽  
Ashraf Dewan

The novel coronavirus (COVID-19) pandemic continues to be a significant public health threat worldwide, particularly in densely populated countries such as Bangladesh with inadequate health care facilities. While early detection and isolation were identified as important non-pharmaceutical intervention (NPI) measures for containing the disease spread, this may not have been pragmatically implementable in developing countries due to social and economic reasons (i.e., poor education, less public awareness, massive unemployment). Hence, to elucidate COVID-19 transmission dynamics with respect to the NPI status—e.g., social distancing—this study conducted spatio-temporal analysis using the prospective scanning statistic at district and sub-district levels in Bangladesh and its capital, Dhaka city, respectively. Dhaka megacity has remained the highest-risk “active” cluster since early April. Lately, the central and south eastern regions in Bangladesh have been exhibiting a high risk of COVID-19 transmission. The detected space-time progression of COVID-19 infection suggests that Bangladesh has experienced a community-level transmission at the early phase (i.e., March, 2020), primarily introduced by Bangladeshi citizens returning from coronavirus epicenters in Europe and the Middle East. Potential linkages exist between the violation of NPIs and the emergence of new higher-risk clusters over the post-incubation periods around Bangladesh. Novel insights into the COVID-19 transmission dynamics derived in this study on Bangladesh provide important policy guidelines for early preparations and pragmatic NPI measures to effectively deal with infectious diseases in resource-scarce countries worldwide.


2006 ◽  
Vol 72 (1) ◽  
pp. 207-211 ◽  
Author(s):  
Irshad M. Sulaiman ◽  
Xin Liu ◽  
Michael Frace ◽  
Nikhat Sulaiman ◽  
Melissa Olsen-Rasmussen ◽  
...  

ABSTRACT Severe acute respiratory syndrome (SARS) was discovered during a recent global outbreak of atypical pneumonia. A number of immunologic and molecular studies of the clinical samples led to the conclusion that a novel coronavirus (SARS-CoV) was associated with the outbreak. Later, a SARS resequencing GeneChip was developed by Affymetrix to characterize the complete genome of SARS-CoV on a single GeneChip. The present study was carried out to evaluate the performance of SARS resequencing GeneChips. Two human SARS-CoV strains (CDC#200301157 and Urbani) were resequenced by the SARS GeneChips. Five overlapping PCR amplicons were generated for each strain and hybridized with these GeneChips. The successfully hybridized GeneChips generated nucleotide sequences of nearly complete genomes for the two SARS-CoV strains with an average call rate of 94.6%. Multiple alignments of nucleotide sequences obtained from SARS GeneChips and conventional sequencing revealed full concordance. Furthermore, the GeneChip-based analysis revealed no additional polymorphic sites. The results of this study suggest that GeneChip-based genome characterization is fast and reproducible. Thus, SARS resequencing GeneChips may be employed as an alternate tool to obtain genome sequences of SARS-CoV strains pathogenic for humans in order to further understand the transmission dynamics of these viruses.


Author(s):  
Rico Januar Sitorus ◽  
Irzanita Wathan ◽  
Hibsah Ridwan ◽  
Hariadi Wibisono ◽  
Lesti Nuraini ◽  
...  

Author(s):  
Mélodie Monod ◽  
Alexandra Blenkinsop ◽  
Xiaoyue Xi ◽  
Daniel Hebert ◽  
Sivan Bershan ◽  
...  

Following initial declines, in mid 2020, a resurgence in transmission of novel coronavirus disease (COVID-19) has occurred in the United States and parts of Europe. Despite the wide implementation of non-pharmaceutical interventions, it is still not known how they are impacted by changing contact patterns, age and other demographics. As COVID-19 disease control becomes more localised, understanding the age demographics driving transmission and how these impacts the loosening of interventions such as school reopening is crucial. Considering dynamics for the United States, we analyse aggregated, age-specific mobility trends from more than 10 million individuals and link these mechanistically to age-specific COVID-19 mortality data. In contrast to previous approaches, we link mobility to mortality via age-specific contact patterns and use this rich relationship to reconstruct accurate transmission dynamics. Contrary to anecdotal evidence, we find little support for age-shifts in contact and transmission dynamics over time. We estimate that, until August, 63.4% [60.9%-65.5%] of SARS-CoV-2 infections in the United States originated from adults aged 20-49, while 1.2% [0.8%-1.8%] originated from children aged 0- 9. In areas with continued, community-wide transmission, our transmission model predicts that re-opening kindergartens and elementary schools could facilitate spread and lead to additional COVID-19 attributable deaths over a 90-day period. These findings indicate that targeting interventions to adults aged 20-49 are an important consideration in halting resurgent epidemics and preventing COVID-19-attributable deaths when kindergartens and elementary schools reopen.


2021 ◽  
Author(s):  
Yihan Wu ◽  
Todd Mooring ◽  
Marianna Linz

Abstract As the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 24 continues to proliferate across the globe, it is a struggle to predict and prevent its spread. The 25 successes of mobility interventions demonstrate how policies can help limit the person-to-person 26 interactions that are essential to infection. With significant community spread, experts predict this 27 virus will continue to be a threat until safe and effective vaccines have been developed and 28 widely deployed. We aim to understand mobility changes during the first major quarantine period 29 in the United States, measured via mobile device tracking, by assessing how people changed their 30 behavior in response to policies and to weather. Here, we show that consistent national messaging 31 was associated with consistent national behavioral change, regardless of local policy. 32 Furthermore, although human behavior did vary with outdoor air temperature, these variations 33 were not associated with variations in a proxy for the rate of encounters between people. The 34 independence of encounters and temperatures suggests that weather-related behavioral changes 35 will, in many cases, be of limited relevance for SARS-CoV-2 transmission dynamics. Both of 36 these results are encouraging for the potential of clear national messaging to help contain any 37 future pandemics, and possibly to help contain COVID-19.Published in PNAS: https://www.pnas.org/content/118/22/e2018185118


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