Publications by authors named "Garcia-Garcia David"

Objectives: This descriptive, cross-sectional study examines the attitude towards vaccination of students at the Complutense University of Madrid (Spain) and explores its relationship with sociodemographic and academic variables using a bivariate analysis and linear and logistic regression.

Methods: The attitude towards vaccination of 3577 students of different disciplines was assessed using an online version of the Questionnaire on Attitudes and Behaviours towards Vaccination. In addition, all students were asked if they sought information produced by anti-vaccination groups and whether they identified as "anti-vaccine".

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Introduction: The interaction between frailty and Parkinson's disease (PD) is still unknown. This study aimed to study the effectiveness of a multidisciplinary telemedicine program in reducing frailty in Parkinson's disease.

Methods: Longitudinal, randomized, case-control study.

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Background: Understanding the patterns of disease importation through international travel is paramount for effective public health interventions and global disease surveillance. While global airline network data have been used to assist in outbreak prevention and effective preparedness, accurately estimating how these imported cases disseminate locally in receiving countries remains a challenge.

Objective: This study aimed to describe and understand the regional distribution of imported cases of dengue and malaria upon arrival in Spain via air travel.

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Parkinson's disease (PD) is a progressive neurodegenerative disorder whose prevalence has steadily been rising over the years. Specialist neurologists across the world assess and diagnose patients with PD, although the diagnostic process is time-consuming and various symptoms take years to appear, which means that the diagnosis is prone to human error. The partial automatization of PD assessment and diagnosis through computational processes has therefore been considered for some time.

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Objective: Estimate daily infections of COVID-19 during the first year of the pandemic in the Santiago Metropolitan Region (SRM) in Chile and Chile that are more realistic than those officially registered.

Method: Retrospective estimate of daily infections from daily data on COVID-19 deaths, a seroprevalence study, and the REMEDID (Retrospective Methodology to Estimate Daily Infections from Deaths) algorithm.

Results: In SRM, it is observed that: 1) the maximum peak of infections was more than double that registered in the official statistics; 2) such peak was reached on May 22 (95% CI: 20-24 May), 2022, that is, 24 days before the official date of the peak of infections; and 3) the first estimated contagion took place on January 28, 2020 (95% CI: January 21 to February 16), that is, 36 days before the official date.

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Background: Health literacy and eHealth literacy play a crucial role in improving a community's ability to take care of themselves, ultimately leading to a reduction in disparities in health. Embracing a healthy way of living is vital in lessening the impact of illnesses and extending one's lifespan. This research delves into the link between the health and eHealth literacy levels of individuals accessing primary healthcare services and investigates how this relates to adopting a health-conscious lifestyle.

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Background: Social restrictions and vaccination seem to have shaped the pandemic development in Europe, but the influence of geographical position is still debated. This study aims to verify whether the pandemic spread through Europe following a particular direction, during the period between the start of the pandemic and November 2021. The existence of a spatial gradient for epidemic intensity is also hypothesized.

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Lifestyle, a major determinant of health status, comprises a number of habits and behaviours that form a part of daily life. People with healthy lifestyles have a better quality of life, suffer less disease, and have a longer life expectancy. This work reports the design and content validation of a questionnaire-the 'PONTE A 100' questionnaire-assessing the lifestyle of adults.

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A comprehensive view of disease epidemics demands a deep understanding of the complex interplay between human behaviour and infectious diseases. Here, we propose a flexible modelling framework that brings conclusions about the influence of human mobility and disease transmission on early epidemic growth, with applicability in outbreak preparedness. We use random matrix theory to compute an epidemic threshold, equivalent to the basic reproduction number [Formula: see text], for a SIR metapopulation model.

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We analysed the transmission of the human mpox virus in Spain by estimating the effective reproduction number of the disease from official surveillance data. Our computations show that this decreased steadily after an initial burst phase, dropping below 1 on July 12, and thus the outbreak was expected to reduce in the following weeks. Differences in trends were found across geographical regions of the country and across MSM and heterosexual populations.

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Article Synopsis
  • Human mobility significantly influences how infectious diseases spread geographically, yet there's limited research specifically on mobility itself.
  • Researchers in Spain created a Mobility Matrix using public data to identify how provinces are connected through transportation, highlighting Madrid, Valladolid, and Araba/Álaba as key hubs.
  • They discovered 7 mobility communities with a strong correlation to COVID-19 incidence, showing that the majority of travel is within consistent communities rather than strictly following political borders, which can help in planning responses to health crises.
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Background: Adequate eHealth literacy levels empower people to make informed decisions, enhancing their autonomy. The current study assessed a group using primary care services for their eHealth literacy and examined its relationship with sociodemographic characteristics.

Methods: Adult patients in need of primary care nursing services participated in this cross-sectional study, which was carried out in a healthcare center in the Madrid region of Spain.

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Background: Health literacy enhances a population's self-care capacity and helps to reduce health inequalities. This work examines the health literacy of a population attending primary care services and explores its relationship with sociodemographic factors.

Methods: This cross-sectional study, conducted at a healthcare center in the Madrid region (Spain), involved adult patients requiring primary care nursing services.

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Aim: Hydration and well-being are highly correlated. However, practice tells us that the significance of hydration is often unrecognized and is not treated as a priority. This review focuses on how health education can improve hydration levels among the adult population.

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Accurate detection of early COVID-19 cases is crucial to reduce infections and deaths, however, it remains a challenge. Here, we used the results from a seroprevalence study in 50 US states to apply our Retrospective Methodology to Estimate Daily Infections from Deaths (REMEDID) with the aim of analyzing the initial spread of SARS-CoV-2 infections across the US. Our analysis revealed that the virus likely entered the country through California on December 28, 2019, which corresponds to 16 days prior to the officially recognized entry date established by the Centers of Disease Control and Prevention.

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BackgroundAfter a national lockdown during the first wave of the COVID-19 pandemic in Spain, regional governments implemented different non-pharmaceutical interventions (NPIs) during the second wave.AimTo analyse which implemented NPIs significantly impacted effective reproduction number (R) in seven Spanish provinces during 30 August 2020-31 January 2021.MethodsWe coded each NPI and levels of stringency with a 'severity index' (SI) and computed a global SI (mean of SIs per six included interventions).

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Background: A unique policy of perimeter closures of Basic Health Zones (small administrative health units) was implemented in the Autonomous Community of Madrid from September 21st 2020 to May 23rd 2021 to face the COVID-19 pandemic.

Aim: To assess the impact of local perimeter confinements on the 14-days cumulative incidence of SARS-CoV-2 during the second wave of the pandemic in Madrid, Spain.

Methods: We compare the errors in estimation of two families of mathematical models: ones that include the perimeter closures as explanatory covariables and ones that do not, in search of a significant improvement in estimation of one family over the other.

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After a year of living with the COVID-19 pandemic and its associated consequences, hope looms on the horizon thanks to vaccines. The question is what percentage of the population needs to be immune to reach herd immunity, that is to avoid future outbreaks. The answer depends on the basic reproductive number, R, a key epidemiological parameter measuring the transmission capacity of a disease.

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In the last decade, the impact of needle blight fungal pathogens on the health status of forests in northern Spain has marked a turning point in forest production systems based on species. Dothistroma needle blight caused by and , and brown spot needle blight caused by , coexist in these ecosystems. There is a clear dominance of with respect to the other two pathogens and evidence of sexual reproduction in the area.

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Accurate detection of early COVID-19 cases is crucial to drastically reduce infection, hospitalization, and death rates. However, it remains a challenge and methods for identifying initial COVID-19 cases are urgently needed. Here, we used the results from a seroprevalence study in 50 US states to apply our Retrospective Methodology to Estimate Daily Infections from Deaths (REMEDID) with the aim of analyzing the initial stages and spread of SARS-CoV-2 infections across the United States (US).

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Article Synopsis
  • The daily number of new infections is crucial for understanding epidemics, but during COVID-19, this data was often underestimated.
  • A new methodology is proposed to estimate daily infections based on the more reliable data of daily deaths, factoring in the timeline from infection to death.
  • In Spain, the study found that actual infections during the first wave were significantly higher than reported, with the first inferred infection occurring about 43 days before official data was recorded, indicating delays in understanding the true infection rates.
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Inflammation and oxidative stress (IOS) are considered key pathophysiological elements in the development of mental disorders. Recent studies demonstrated that the antipsychotic risperidone elicits an antiinflammatory effect in the brain. We administered risperidone for 2-weeks at adolescence to assess its role in preventing brain-related IOS changes in the maternal immune stimulation (MIS) model at adulthood.

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Mapping the impact of pregnancy on the human brain is essential for understanding the neurobiology of maternal caregiving. Recently, we found that pregnancy leads to a long-lasting reduction in cerebral gray matter volume. However, the morphometric features behind the volumetric reductions remain unexplored.

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Deep brain stimulation (DBS) is a neurosurgery technique widely used in movement disorders, although its mechanism of action remains unclear. In fact, apart from the stimulation itself, the mechanical insertion of the electrode may play a crucial role. Here we aimed to distinguish between the insertional and the DBS effects on brain glucose metabolism.

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A 79-year old patient with an asymptomatic 63-mm infrarenal abdominal aortic aneurysm, confirmed on computed tomography, was admitted in our unit. The patient had undergone kidney transplantation years before, due to renal failure secondary to polycystic kidney disease. Renal function at admission was normal.

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