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      A violência contra mulheres, crianças e adolescentes em tempos de pandemia pela COVID-19: panorama, motivações e formas de enfrentamento Translated title: Violencia contra mujeres, niños y adolescentes en tiempos de la pandemia de COVID-19: panorama, motivaciones y formas de afrontamiento Translated title: Violence against women, children, and adolescents during the COVID-19 pandemic: overview, contributing factors, and mitigating measures

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          The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status

          An acute respiratory disease, caused by a novel coronavirus (SARS-CoV-2, previously known as 2019-nCoV), the coronavirus disease 2019 (COVID-19) has spread throughout China and received worldwide attention. On 30 January 2020, World Health Organization (WHO) officially declared the COVID-19 epidemic as a public health emergency of international concern. The emergence of SARS-CoV-2, since the severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002 and Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012, marked the third introduction of a highly pathogenic and large-scale epidemic coronavirus into the human population in the twenty-first century. As of 1 March 2020, a total of 87,137 confirmed cases globally, 79,968 confirmed in China and 7169 outside of China, with 2977 deaths (3.4%) had been reported by WHO. Meanwhile, several independent research groups have identified that SARS-CoV-2 belongs to β-coronavirus, with highly identical genome to bat coronavirus, pointing to bat as the natural host. The novel coronavirus uses the same receptor, angiotensin-converting enzyme 2 (ACE2) as that for SARS-CoV, and mainly spreads through the respiratory tract. Importantly, increasingly evidence showed sustained human-to-human transmission, along with many exported cases across the globe. The clinical symptoms of COVID-19 patients include fever, cough, fatigue and a small population of patients appeared gastrointestinal infection symptoms. The elderly and people with underlying diseases are susceptible to infection and prone to serious outcomes, which may be associated with acute respiratory distress syndrome (ARDS) and cytokine storm. Currently, there are few specific antiviral strategies, but several potent candidates of antivirals and repurposed drugs are under urgent investigation. In this review, we summarized the latest research progress of the epidemiology, pathogenesis, and clinical characteristics of COVID-19, and discussed the current treatment and scientific advancements to combat the epidemic novel coronavirus.
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            Fair Allocation of Scarce Medical Resources in the Time of Covid-19

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              Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts

              Summary Background Isolation of cases and contact tracing is used to control outbreaks of infectious diseases, and has been used for coronavirus disease 2019 (COVID-19). Whether this strategy will achieve control depends on characteristics of both the pathogen and the response. Here we use a mathematical model to assess if isolation and contact tracing are able to control onwards transmission from imported cases of COVID-19. Methods We developed a stochastic transmission model, parameterised to the COVID-19 outbreak. We used the model to quantify the potential effectiveness of contact tracing and isolation of cases at controlling a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-like pathogen. We considered scenarios that varied in the number of initial cases, the basic reproduction number (R 0), the delay from symptom onset to isolation, the probability that contacts were traced, the proportion of transmission that occurred before symptom onset, and the proportion of subclinical infections. We assumed isolation prevented all further transmission in the model. Outbreaks were deemed controlled if transmission ended within 12 weeks or before 5000 cases in total. We measured the success of controlling outbreaks using isolation and contact tracing, and quantified the weekly maximum number of cases traced to measure feasibility of public health effort. Findings Simulated outbreaks starting with five initial cases, an R 0 of 1·5, and 0% transmission before symptom onset could be controlled even with low contact tracing probability; however, the probability of controlling an outbreak decreased with the number of initial cases, when R 0 was 2·5 or 3·5 and with more transmission before symptom onset. Across different initial numbers of cases, the majority of scenarios with an R 0 of 1·5 were controllable with less than 50% of contacts successfully traced. To control the majority of outbreaks, for R 0 of 2·5 more than 70% of contacts had to be traced, and for an R 0 of 3·5 more than 90% of contacts had to be traced. The delay between symptom onset and isolation had the largest role in determining whether an outbreak was controllable when R 0 was 1·5. For R 0 values of 2·5 or 3·5, if there were 40 initial cases, contact tracing and isolation were only potentially feasible when less than 1% of transmission occurred before symptom onset. Interpretation In most scenarios, highly effective contact tracing and case isolation is enough to control a new outbreak of COVID-19 within 3 months. The probability of control decreases with long delays from symptom onset to isolation, fewer cases ascertained by contact tracing, and increasing transmission before symptoms. This model can be modified to reflect updated transmission characteristics and more specific definitions of outbreak control to assess the potential success of local response efforts. Funding Wellcome Trust, Global Challenges Research Fund, and Health Data Research UK.
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                Author and article information

                Journal
                csp
                Cadernos de Saúde Pública
                Cad. Saúde Pública
                Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz (Rio de Janeiro, RJ, Brazil )
                0102-311X
                1678-4464
                2020
                : 36
                : 4
                : e00074420
                Affiliations
                [1] Rio de Janeiro Rio de Janeiro orgnameUniversidade do Estado do Rio de Janeiro orgdiv1Instituto de Medicina Social Brazil
                [2] Rio de Janeiro orgnameUniversidade Estácio de Sá orgdiv1Faculdade de Medicina Brazil
                [3] Rio de Janeiro Rio de Janeiro orgnameUniversidade do Estado do Rio de Janeiro orgdiv1Instituto de Nutrição Brazil
                [4] Rio de Janeiro orgnameFundação Oswaldo Cruz orgdiv1Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira Brazil
                Article
                S0102-311X2020000500505 S0102-311X(20)03600400505
                10.1590/0102-311x00074420
                32374808
                c1f80a64-92e3-43da-a21c-1a81d9799fe5

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 08 April 2020
                : 10 April 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 40, Pages: 0
                Product

                SciELO Public Health

                Self URI: Full text available only in PDF format (EN)
                Self URI: Texto completo somente em PDF (PT)
                Categories
                Espaço Temático: COVID-19 – CONTRIBUIÇÕES DA SAÚDE COLETIVA

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