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BACKGROUND: The early spatiotemporal transmission of COVID-19 remains unclear. The community to healthcare agencies and back to community (CHC) model was tested in our study to simulate the early phase of COVID-19 transmission in Wuhan, China. METHODS: We conducted a retrospective study. COVID-19 case series reported to the Municipal Notifiable Disease Report System of Wuhan from December 2019 to March 2020 from 17 communities were collected. Cases from healthcare workers (HW) and from community members (CM) were distinguished by documented occupations. Overall spatial and temporal relationships between HW and CM COVID-19 cases were visualised. The CHC model was then simulated. The turning point separating phase 1 and phase 2 was determined using a quadratic model. For phases 1 and 2, linear regression was used to quantify the relationship between HW and CM COVID-19 cases. RESULTS: The spatial and temporal distributions of COVID-19 cases between HWs and CMs were closely correlated. The turning point was 36.85±18.37 (range 15-70). The linear model fitted well for phase 1 (mean R2=0.98) and phase 2 (mean R2=0.93). In phase 1, the estimated [Formula: see text]s were positive (from 18.03 to 94.99), with smaller [Formula: see text]s (from 2.98 to 15.14); in phase 2, the estimated [Formula: see text]s were negative (from -4.22 to -81.87), with larger [Formula: see text]s (from 5.37 to 78.12). CONCLUSION: Transmission of COVID-19 from the community to healthcare agencies and back to the community was confirmed in Wuhan. Prevention and control measures for COVID-19 in hospitals and among HWs are crucial and warrant further attention.
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COVID-19 , China , Atención a la Salud , Humanos , Estudios Retrospectivos , SARS-CoV-2RESUMEN
BACKGROUND: Wuhan was the first epicentre of COVID-19 in the world, accounting for 80% of cases in China during the first wave. We aimed to assess household transmissibility of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and risk factors associated with infectivity and susceptibility to infection in Wuhan. METHODS: This retrospective cohort study included the households of all laboratory-confirmed or clinically confirmed COVID-19 cases and laboratory-confirmed asymptomatic SARS-CoV-2 infections identified by the Wuhan Center for Disease Control and Prevention between Dec 2, 2019, and April 18, 2020. We defined households as groups of family members and close relatives who did not necessarily live at the same address and considered households that shared common contacts as epidemiologically linked. We used a statistical transmission model to estimate household secondary attack rates and to quantify risk factors associated with infectivity and susceptibility to infection, accounting for individual-level exposure history. We assessed how intervention policies affected the household reproductive number, defined as the mean number of household contacts a case can infect. FINDINGS: 27â101 households with 29â578 primary cases and 57â581 household contacts were identified. The secondary attack rate estimated with the transmission model was 15·6% (95% CI 15·2-16·0), assuming a mean incubation period of 5 days and a maximum infectious period of 22 days. Individuals aged 60 years or older were at a higher risk of infection with SARS-CoV-2 than all other age groups. Infants aged 0-1 years were significantly more likely to be infected than children aged 2-5 years (odds ratio [OR] 2·20, 95% CI 1·40-3·44) and children aged 6-12 years (1·53, 1·01-2·34). Given the same exposure time, children and adolescents younger than 20 years of age were more likely to infect others than were adults aged 60 years or older (1·58, 1·28-1·95). Asymptomatic individuals were much less likely to infect others than were symptomatic cases (0·21, 0·14-0·31). Symptomatic cases were more likely to infect others before symptom onset than after (1·42, 1·30-1·55). After mass isolation of cases, quarantine of household contacts, and restriction of movement policies were implemented, household reproductive numbers declined by 52% among primary cases (from 0·25 [95% CI 0·24-0·26] to 0·12 [0·10-0·13]) and by 63% among secondary cases (from 0·17 [0·16-0·18] to 0·063 [0·057-0·070]). INTERPRETATION: Within households, children and adolescents were less susceptible to SARS-CoV-2 infection but were more infectious than older individuals. Presymptomatic cases were more infectious and individuals with asymptomatic infection less infectious than symptomatic cases. These findings have implications for devising interventions for blocking household transmission of SARS-CoV-2, such as timely vaccination of eligible children once resources become available. FUNDING: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, US National Institutes of Health, and US National Science Foundation.
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COVID-19/transmisión , SARS-CoV-2 , Adolescente , Adulto , Factores de Edad , Anciano , COVID-19/etiología , Niño , Preescolar , China/epidemiología , Susceptibilidad a Enfermedades , Composición Familiar , Femenino , Humanos , Lactante , Recién Nacido , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Factores de Riesgo , Adulto JovenRESUMEN
PURPOSE: In recent years more and more students with disabilities are included in general education settings; there is an increased demand for assistive technology application to accommodate their special needs in inclusive settings. This creates an atmosphere for studies on assistive technology applications in K-12 settings. METHOD: This synthesis study reviewed research articles related to this topic in the past decade. Ten key words were used and relevant databases were searched. RESULTS: Thirty articles were found. After sorting, reviewing and analyzing; the two authors used seven research articles for the study on assistive technology applications in contemporary k-12 schools. CONCLUSION: The researchers that examined school aged children, all agreed that children with disabilities would benefit from the use of assistive technology. However, they also agree that teachers are not prepared to incorporate advanced technology in the classroom. The results also show that children with physical disabilities in preschool may be too young to independently use advanced technology.Implications for RehabilitationStudents with severe disabilities often have limited interactions with same age peers. Technology can provide a means to increase the quality and quantity of time interacting with young student's peers. Robotic technology has been proven to greatly assist with these interactions.In order for a student to maintain a rehabilitation program, they need to be engaged. Current technology promotes building recreational skills that lead to classroom skills, within entertaining and engaging activities.Daily life skills can be impacted by severe disabilities. Assistive technology has been proven to assist with these issues. Caregivers for children with autism reported improvement for life skills activities using both low- and high-tech methods.
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Personas con Discapacidad , Dispositivos de Autoayuda , Cuidadores , Niño , Preescolar , Humanos , Instituciones Académicas , EstudiantesRESUMEN
BACKGROUND: the epidemiological characteristics of older patients with COVID-19 was far from clear. OBJECTIVE: to explore the epidemiology of older patients with COVID-19 in Wuhan, China. DESIGN: a retrospective cross-sectional study. SETTING: a population-based study. SUBJECTS: the resident older patients (>65 years) diagnosed with COVID-19. METHODS: city-wide case series reported to Wuhan Center for Disease Control and Prevention from 12 December 2019 to 17 March 2020 were included. The epidemic curves were constructed by dates of disease onset. RESULTS: 14,238 confirmed COVID-19 cases were older persons. The number of male cases were slightly less than female cases (1:1.01). The attack rate of COVID-19 in the older persons was 11.49 in Wuhan. There was a rapid increase of disease at the early stage of the epidemic and then a gradual and steady decrease was performed. 3,723 (26.15%) and 734 (5.16%) patients were diagnosed as severe and critical cases, respectively. The attributable crude fatality ratio of COVID-19 in the older population was 222.57/100,000, and the crude fatality ratio of COVID was 19.37%. The proportion of severe and critical cases, and fatality ratio were both higher in downtown area and increased with age. CONCLUSIONS: the older persons are sensitive to COVID-19. The proportion of severe and critical cases and fatality ratio are higher than that in children and younger adults. Strengthen the protection and control strategies for the older adults are of priorities. More detailed epidemiological and clinical information should be measured in further studies.