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1.
Complex Systems and Complexity Science ; 19(1):67-73, 2022.
Article in Chinese | Scopus | ID: covidwho-1698655

ABSTRACT

The transmission of COVID-19 in relatively closed places such as ships, prisons, hospitals, is still a public concern. We take the transmission situation on the Diamond Princess Cruise ship as an example to study the transmission dynamics of COVID-19 in a relatively closed place. The Agent-Based Modeling (ABM) method is applied to simulate the transmission dynamics of COVID-19. The Latin Hypercube sampling is proposed for parameter estimation in ABM. The simulation results show that most of the infected cases on the Diamond Princess Cruise ship were transmitted between passengers. However, at the beginning of the quarantine, the number of passengers infected by crew was much more than the number of passengers infected by other passengers. Based on this results, several control measures are designed. If at the beginning of the quarantine, the lab testing was strengthened for crew members, and the infected crew were disembarked in time, the final number of infected would be greatly reduced. Furthermore, if this measure was supplemented with the conventional control measures, the final number of infected would be further reduced. © 2022, The Editorial Department of Complex Systems and Complexity Science. All right reserved.

3.
Proc Natl Acad Sci U S A ; 118(8)2021 02 23.
Article in English | MEDLINE | ID: covidwho-1066038

ABSTRACT

Several lines of existing evidence support the possibility of airborne transmission of coronavirus disease 2019 (COVID-19). However, quantitative information on the relative importance of transmission pathways of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains limited. To evaluate the relative importance of multiple transmission routes for SARS-CoV-2, we developed a modeling framework and leveraged detailed information available from the Diamond Princess cruise ship outbreak that occurred in early 2020. We modeled 21,600 scenarios to generate a matrix of solutions across a full range of assumptions for eight unknown or uncertain epidemic and mechanistic transmission factors. A total of 132 model iterations met acceptability criteria (R2 > 0.95 for modeled vs. reported cumulative daily cases and R2 > 0 for daily cases). Analyzing only these successful model iterations quantifies the likely contributions of each defined mode of transmission. Mean estimates of the contributions of short-range, long-range, and fomite transmission modes to infected cases across the entire simulation period were 35%, 35%, and 30%, respectively. Mean estimates of the contributions of larger respiratory droplets and smaller respiratory aerosols were 41% and 59%, respectively. Our results demonstrate that aerosol inhalation was likely the dominant contributor to COVID-19 transmission among the passengers, even considering a conservative assumption of high ventilation rates and no air recirculation conditions for the cruise ship. Moreover, close-range and long-range transmission likely contributed similarly to disease progression aboard the ship, with fomite transmission playing a smaller role. The passenger quarantine also affected the importance of each mode, demonstrating the impacts of the interventions.


Subject(s)
Aerosols , COVID-19/transmission , Disease Outbreaks/statistics & numerical data , Models, Theoretical , Quarantine/standards , SARS-CoV-2/isolation & purification , Ships/statistics & numerical data , COVID-19/diagnosis , COVID-19/prevention & control , COVID-19/virology , Humans , Quarantine/methods , Quarantine/statistics & numerical data
4.
Stoch Environ Res Risk Assess ; 35(7): 1319-1333, 2021.
Article in English | MEDLINE | ID: covidwho-1052979

ABSTRACT

The outbreak of COVID-19 on the Diamond Princess Cruise Ship provides an unprecedented opportunity to estimate its original transmissibility with basic reproductive number (R0) and the effectiveness of containment measures. We developed an ordinary differential equation-based Susceptible-Exposed-Infected-Recovery (SEIR) model with Bayesian underpinning to estimate the main parameter of R0 determined by transmission coefficients, incubation period, and the recovery rate. Bayesian Markov Chain Monte Carlo (MCMC) estimation method was used to tackle the parameters of uncertainty resulting from the outbreak of COVID-19 given a small cohort of the cruise ship. The extended stratified SEIR model was also proposed to elucidate the heterogeneity of transmission route by the level of deck with passengers and crews. With the application of the overall model, R0 was estimated as high as 5.70 (95% credible interval: 4.23-7.79). The entire epidemic period without containment measurements was approximately 47 days and reached the peak one month later after the index case. The partial containment measure reduced 63% (95% credible interval: 60-66%) infected passengers. With the deck-specific SEIR model, the heterogeneity of R0 estimates by each deck was noted. The estimated R0 figures were 5.18 for passengers (5-14 deck), mainly from the within-deck transmission, and 2.46 for crews (2-4 deck), mainly from the between-deck transmission. Modelling the dynamic of COVID-19 on the cruise ship not only provides an insight into timely evacuation and early isolation and quarantine but also elucidates the relative contributions of different transmission modes on the cruise ship though the deck-stratified SEIR model. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s00477-020-01968-w).

5.
J Infect Chemother ; 26(8): 865-869, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-245541

ABSTRACT

We investigated the clinical course of individuals with 2019 novel coronavirus disease (COVID-19) who were transferred from the Diamond Princess cruise ship to 12 local hospitals. The conditions and clinical courses of patients with pneumonia were compared with those of patients without pneumonia. Among 70 patients (median age: 67 years) analyzed, the major symptoms were fever (64.3%), cough (54.3%), and general fatigue (24.3%). Forty-three patients (61.4%) had pneumonia. Higher body temperature, heart rate, and respiratory rate as well as higher of lactate dehydrogenase (LDH), aspartate aminotransferase (AST), and C-reactive protein (CRP) levels and lower serum albumin level and lymphocyte count were associated with the presence of pneumonia. Ground-glass opacity was found in 97.7% of the patients with pneumonia. Patients were administered neuraminidase inhibitors (20%), lopinavir/ritonavir (32.9%), and ciclesonide inhalation (11.4%). Mechanical ventilation and veno-venous extracorporeal membrane oxygenation was performed on 14 (20%) and 2 (2.9%) patients, respectively; two patients died. The median duration of intubation was 12 days. The patients with COVID-19 transferred to local hospitals during the outbreak had severe conditions and needed close monitoring. The severity of COVID-19 depends on the presence of pneumonia. High serum LDH, AST and CRP levels and low serum albumin level and lymphocyte count were found to be predictors of pneumonia. It was challenging for local hospitals to admit and treat these patients during the outbreak of COVID-19. Assessment of severity was crucial to manage a large number of patients.


Subject(s)
Betacoronavirus , Coronavirus Infections/physiopathology , Coronavirus Infections/therapy , Disease Outbreaks , Pneumonia, Viral/physiopathology , Pneumonia, Viral/therapy , Aged , COVID-19 , Coronavirus Infections/complications , Diabetes Complications/complications , Female , Humans , Hypertension/complications , Japan , Male , Middle Aged , Pandemics , Patient Acuity , Pneumonia, Viral/complications , Pneumonia, Viral/virology , Prognosis , SARS-CoV-2 , Ships
6.
Disaster Med Public Health Prep ; 14(4): 506-513, 2020 08.
Article in English | MEDLINE | ID: covidwho-13840

ABSTRACT

The Diamond Princess cruise ship has been anchored at the Yokohama port in Japan since February 3, 2020. A total of 691 cases of the coronavirus disease 2019 (COVID-19) infection had been confirmed as of February 23. The government initially assumed that the infection was not spreading aboard and therefore indicated that any persons who either tested negative for the virus or were asymptomatic should immediately disembark. However, on February 5, the government set a 14-day health observation period because of the severity of the infection. Passengers confirmed to be free from infection began disembarking on Day 15 (February 19) of the quarantine. The effectiveness and validity of infection control, justification for the timing of inspections, and even the nature of COVID-19 itself now are all in question. The ethical considerations related to cruise ship infection control include the reasonable justification for isolation, the psychological fragility and quality of life of the isolated passengers and crew members, the procedural justice inherent in a forced quarantine, and the optimization of control measures.The international coordination framework and the global ramifications of such outbreaks should be reevaluated by the international community. Denying a ship's entry based on local politics is incompatible with global justice. Events such as these require an international response and global regulations that seek to reduce disparities.


Subject(s)
COVID-19/diagnosis , Quarantine/standards , Ships/statistics & numerical data , COVID-19/epidemiology , COVID-19/physiopathology , Humans , Japan , Pandemics/prevention & control , Pandemics/statistics & numerical data , Quarantine/methods , Quarantine/statistics & numerical data
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