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2.
Comput Biol Med ; 139: 104938, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34678482

RESUMO

As long as critical levels of vaccination have not been reached to ensure heard immunity, and new SARS-CoV-2 strains are developing, the only realistic way to reduce the infection speed in a population is to track the infected individuals before they pass on the virus. Testing the population via sampling has shown good results in slowing the epidemic spread. Sampling can be implemented at different times during the epidemic and may be done either per individual or for combined groups of people at a time. The work we present here makes two main contributions. We first extend and refine our scalable agent-based COVID-19 simulator to incorporate an improved socio-demographic model which considers professions, as well as a more realistic population mixing model based on contact matrices per country. These extensions are necessary to develop and test various sampling strategies in a scenario including the 62 largest cities in Spain; this is our second contribution. As part of the evaluation, we also analyze the impact of different parameters, such as testing frequency, quarantine time, percentage of quarantine breakers, or group testing, on sampling efficacy. Our results show that the most effective strategies are pooling, rapid antigen test campaigns, and requiring negative testing for access to public areas. The effectiveness of all these strategies can be greatly increased by reducing the number of contacts for infected individual.


Assuntos
COVID-19 , Humanos , Incidência , SARS-CoV-2 , Espanha/epidemiologia
3.
Front Public Health ; 9: 636023, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33796497

RESUMO

This work presents simulation results for different mitigation and confinement scenarios for the propagation of COVID-19 in the metropolitan area of Madrid. These scenarios were implemented and tested using EpiGraph, an epidemic simulator which has been extended to simulate COVID-19 propagation. EpiGraph implements a social interaction model, which realistically captures a large number of characteristics of individuals and groups, as well as their individual interconnections, which are extracted from connection patterns in social networks. Besides the epidemiological and social interaction components, it also models people's short and long-distance movements as part of a transportation model. These features, together with the capacity to simulate scenarios with millions of individuals and apply different contention and mitigation measures, gives EpiGraph the potential to reproduce the COVID-19 evolution and study medium-term effects of the virus when applying mitigation methods. EpiGraph, obtains closely aligned infected and death curves related to the first wave in the Madrid metropolitan area, achieving similar seroprevalence values. We also show that selective lockdown for people over 60 would reduce the number of deaths. In addition, evaluate the effect of the use of face masks after the first wave, which shows that the percentage of people that comply with mask use is a crucial factor for mitigating the infection's spread.


Assuntos
COVID-19/transmissão , Simulação por Computador , Rede Social , Algoritmos , COVID-19/epidemiologia , COVID-19/prevenção & controle , Cidades , Controle de Doenças Transmissíveis , Epidemias , Humanos , Máscaras , Quarentena , Estudos Soroepidemiológicos , Espanha , Viagem
4.
Artigo em Inglês | MEDLINE | ID: mdl-33572645

RESUMO

Adolescence is a stage of growth and development of great relevance. Unplanned teenage pregnancies can be considered a global public health problem due to the high impact on the present and future of these young people, as well as their possible offspring. The aim of this study was to analyze the relationship between self-esteem, attitudes toward love, and sexual assertiveness among pregnant and non-pregnant teenagers. We also considered whether their pregnancy was planned or not. The study was conducted with 225 women from Ecuador (34.2% pregnant; Mean age = 16; SD = 1.15). We administered self-reported measures such as the Rosenberg Self-Esteem Scale, the Love Attitudes Scale, and the Sexual Assertiveness Scale between 2018 and 2019. Self-esteem was higher in adolescents with a planned pregnancy than in those women whose pregnancy was not planned. Pregnant women reported greater acceptance and endorsement of beliefs related to the myth of "soulmate" in comparison to non-pregnant women. Sexual assertiveness related to the negotiation of the use of contraceptive methods was greater in non-pregnant adolescents than in pregnant girls. We discuss the implications of our findings in terms of sexual education and prevention in the sex education field. This study shows differences in self-esteem, attitudes toward love, and sexual assertiveness between pregnant and non-pregnant adolescents.


Assuntos
Assertividade , Gravidez na Adolescência , Adolescente , Atitude , Equador , Feminino , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Amor , Gravidez , Gestantes , Comportamento Sexual
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