RESUMEN
Introduction: The state of alarm was declared in Spain due to the COVID-19 epidemic on March 14, 2020, and established population confinement measures. The objective is to describe the process of lifting these mitigation measures. Methods: The Plan for the Transition to a New Normality, approved on April 28, contained four sequential phases with progressive increase in socio-economic activities and population mobility. In parallel, a new strategy for early diagnosis, surveillance and control was implemented. A bilateral decision mechanism was established between the Spanish Government and the autonomous communities (AC), guided by a set of qualitative and quantitative indicators capturing the epidemiological situation and core capacities. The territorial units were established ad-hoc and could be from Basic Health Zones to entire AC. Results: The process run from May 4 to June 21, 2020. AC implemented plans for reinforcement of core capacities. Incidence decreased from a median (50% of territories) of 7.4 per 100,000 in 7 days at the beginning to 2.5 at the end. Median PCR testing increased from 53% to 89% of suspected cases and PCR total capacity from 4.5 to 9.8 per 1000 inhabitants weekly; positivity rate decreased from 3.5% to 1.8%. Median proportion of cases with traced contacts increased from 82% to 100%. Conclusion: Systematic data collection, analysis, and interterritorial dialogue allowed adequate process control. The epidemiological situation improved but, mostly, the process entailed a great reinforcement of core response capacities nation-wide, under common criteria. Maintaining and further reinforcing capacities remained crucial for responding to future waves.
Introducción: El 14 de marzo de 2020 España declaró el estado de alarma por la pandemia por COVID-19 incluyendo medidas de confinamiento. El objetivo es describir el proceso de desescalada de estas medidas. Métodos: Un plan de transición hacia una nueva normalidad, del 28 de abril, incluía 4 fases secuenciales incrementando progresivamente las actividades socioeconómicas y la movilidad. Concomitantemente, se implementó una nueva estrategia de diagnóstico precoz, vigilancia y control. Se estableció un mecanismo de decisión bilateral entre Gobierno central y comunidades autónomas (CCAA), guiado por un panel de indicadores cualitativos y cuantitativos de la situación epidemiológica y las capacidades básicas. Las unidades territoriales evaluadas comprendían desde zonas básicas de salud hasta CCAA. Resultados: El proceso se extendió del 4 de mayo al 21 de junio y se asoció a planes de refuerzo de las capacidades en las CCAA. La incidencia disminuyó de una mediana inicial de 7,4 por 100.000 en 7 días a 2,5 al final del proceso. La mediana de pruebas PCR aumentó del 53% al 89% de los casos sospechosos, y la capacidad total de 4,5 a 9,8 pruebas semanales por 1.000 habitantes; la positividad disminuyó del 3,5% al 1,8%. La mediana de casos con contactos trazados aumentó del 82% al 100%. Conclusión: La recogida y análisis sistemático de información y el diálogo interterritorial logaron un adecuado control del proceso. La situación epidemiológica mejoró, pero sobre todo, se aumentaron las capacidades, en todo el país y con criterios comunes, cuyo mantenimiento y refuerzo fue clave en olas sucesivas.
RESUMEN
INTRODUCTION: The state of alarm was declared in Spain due to the COVID-19 epidemic on March 14, 2020, and established population confinement measures. The objective is to describe the process of lifting these mitigation measures. METHODS: The Plan for the Transition to a New Normality, approved on April 28, contained four sequential phases with progressive increase in socio-economic activities and population mobility. In parallel, a new strategy for early diagnosis, surveillance and control was implemented. A bilateral decision mechanism was established between the Spanish Government and the autonomous communities (AC), guided by a set of qualitative and quantitative indicators capturing the epidemiological situation and core capacities. The territorial units were established ad-hoc and could be from Basic Health Zones to entire AC. RESULTS: The process run from May 4 to June 21, 2020. AC implemented plans for reinforcement of core capacities. Incidence decreased from a median (50% of territories) of 7.4 per 100,000 in 7 days at the beginning to 2.5 at the end. Median PCR testing increased from 53% to 89% of suspected cases and PCR total capacity from 4.5 to 9.8 per 1000 inhabitants weekly; positivity rate decreased from 3.5% to 1.8%. Median proportion of cases with traced contacts increased from 82% to 100%. CONCLUSION: Systematic data collection, analysis, and interterritorial dialogue allowed adequate process control. The epidemiological situation improved but, mostly, the process entailed a great reinforcement of core response capacities nation-wide, under common criteria. Maintaining and further reinforcing capacities remained crucial for responding to future waves.
Asunto(s)
COVID-19 , Humanos , COVID-19/epidemiología , COVID-19/prevención & control , Prueba de COVID-19 , SARS-CoV-2 , España/epidemiologíaRESUMEN
Fundamentos: La violencia de pareja en jóvenes es un importante problema de salud pública por su magnitud y repercusiones. El objetivo fue estimar su prevalencia según sexo y su asociación con factores sociodemográficos y conductas de riesgo para la salud. Métodos: Se utilizó el Sistema de Vigilancia de Factores de Riesgo de Enfermedades No Transmisibles en población juvenil (SIVFRENT-J) 2011-2012 en una muestra representativa de estudiantes de 4º curso de la Enseñanza Secundaria Obligatoria (15 a 16 años) de la Comunidad deMadrid. Se preguntó por violencia física (VF) y violencia sexual (VS). Se calculó la prevalencia con intervalos de confianza al 95%(IC95%). La asociación entre violencia física y/o sexual (VFS) y conductas de riesgo para la salud se analizó con la razón de prevalencia (RP IC95%) mediante modelos lineales generalizados con vínculo logarítmico y familia binomial. Resultados: En 1.713 chicas y 1.664 chicos con pareja la prevalencia de VF fue respectivamente del 2,9% (IC95%:2,0-3,9) y del 4,0% (IC95%:2,9- 5,0) (p>0,05), la de VS fue del 5,3% (IC95%:4,1-6,5) y 2,4% (IC95%:1,6- 3,2) (p<0,001) y la de VFS 7,1% (IC95%:5,6-8,6) y 5,1%(IC95%:4,0-6,3) (p<0,05). En chicas, en los modelos explicativos, la VFS se asoció con desorden alimentario: RP:1,74 (IC95%:1,14-2,66), conducta sexual de riesgo (CSR): RP:1,67 (IC95%:1,11-2,50), consumo excesivo de alcohol, RP:1,57 (IC95%:1,06-2,34) y mala salud percibida, RP:1,67 (IC95%:1,08-2,57). En chicos, la VFS se asoció con ser extranjero: RP:2,05 (IC95%:1,32-3,18), desorden alimentario: RP:2,79 (IC95%:1,58-4,92), CSR: RP:2,22 (IC95%:1,34- 3,66) y consumo de drogas: RP:2,14 (IC95%:1,39-3,28). Conclusiones: La VFS predomina en chicas y se asocia a diferentesconductas de riesgo según el sexo (AU)
Background: Dating violence in young adults is an important public health issue because of itsmagnitude and impact on health. The goal of this study is to determine the prevalence 12 months before the survey by sex and its association with socio-demographic and health risk behavior. Methods: Data were drawn from the Non-communicable Disease Risk-Factor Surveillance Systemin young people (Spanish acronym, SIVFRENT- J), on a representative sample of students of the fourth-year of secondary education (15 to 16 years) inMadrid Region. The students were asked whether they had ever suffered any physical violence (PV) and/or sexual violence (SV) dating episodes. Prevalence with 95% confidence intervals (CI95%) of the occurrence of such episodes were estimated; generalized linear models with binomial family and logarithmic link were used to estimate the association between physical and/or sexual violence (PSV) and health risk behavior through prevalence ratios (PR, CI95%). Results: In 1713 dating girls and 1664 dating boys, the prevalence of PV was 2.9% (CI95%:2.0-3.9) and 4.0% (CI95%:2.9-5.0) (p>0.05), SV 5.3% (CI95%:4.1-6.5) and 2.4% (CI95%:1.6-3.2) (p< 0.001) and PSV 7.1% (CI95%:5.6-8.6) and 5.1% (CI95%:4.0-6.3) (p<0.05) in that order. In the girls explanatory model, PSV was associated with eating disorders PR:1.74 (CI95%:1.14-2.66), sexual risk behavior (SRB), PR:1.67 (CI95%:1.11-2.50), excessive alcohol consumption, PR:1.57 (CI95%:1.06-2.34) and worse perceived health, PR:1.67 (CI95%:1.08-2.57). In boys, PSV was associated with having been born in a country other than Spain, PR:2.05 (CI95%:1.32-3.18), eating disorders, PR:2.79 (CI95%:1.58-4.92), SRB, PR:2.22 (CI95%:1.34- 3.66) and drug consumption, PR:2.14 (CI95%:1.39-3.28). Conclusion: VFS was higher in girls and was associated to others health risk factors with similar characteristics according to sex (AU)
