Publications by authors named "Rebeca Ramis Prieto"

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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Objectives: To study the spatio-temporal distribution of cases of invasive pneumococcal disease (IPD) due to serotypes resistant to erythromycin and its relationship with community consumption of macrolides and childhood vaccination coverage.

Methods: We selected IPD cases in adults over 59 years old, residents in the Community of Madrid (MC), notified in the period 2007-2016. The variables studied were obtained from the Vaccination Information Systems and the Pharmaceutical Service.

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Objectives: To study the spatio-temporal distribution of cases of invasive pneumococcal disease (IPD) due to serotypes resistant to erythromycin and its relationship with community consumption of macrolides and childhood vaccination coverage.

Methods: We selected IPD cases in adults over 59 years old, residents in the Community of Madrid (MC), notified in the period 2007-2016. The variables studied were obtained from the Vaccination Information Systems and the Pharmaceutical Service.

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Background: Worldwide, Cervical Cancer (CC) is the fourth most common type of cancer and cause of death in women. It is a significant public health problem, especially in low and middle-income/Gross Domestic Product (GDP) countries. In the past decade, several studies of CC have been published, that identify the main modifiable and non-modifiable CC risk factors for Mexican women.

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Background: Tuberculosis incidence has been associated with many factors, both epidemiological and social. In Spain, tuberculosis is a statutorily notifiable disease requiring individualised reporting. During the last few years rates of respiratory tuberculosis show a steady decline.

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Objectives: To study the geographical pattern of mortality caused by haematological tumours in Spain at the municipal level using three Bayesian models and to compare their goodness of fit.

Methods: The fitted Bayesian hierarchical models were: (1) the Besag York and Molliè (BYM) model; (2) a model based on zero-inflated Poisson (ZIP) distribution, which allowed a large number of event-free areas; and (3) a mixture of distributions that enabled discontinuities (jumps in the pattern) to be modelled. The three models allow smoothed relative risk maps to be obtained for the all countries.

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