RW Police data 2013

Police data from Kigali Traffic Police reports of road traffic crashes occurring from January 1 to December 31, 2013. Data includes categorization of types of road traffic crashes, injuries, and geospatial coordinates

Additional file 1: of High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka

High Road Utilizers Surveys Compared to Police Data for Road Traffic Crash Hotspot Localization in Rwanda and Sri Lanka. (DOCX 28 kb

Sociodemographic Predictors of Intimate Partner Violence Against Women in an Urban Brazilian City

<p>Background: Intimate partner violence is a global health burden that disproportionately affects women and their health outcome. In Brazil, the prevalence of intimate partner violence against women (IPVAW) in 2002-2003 was estimated at 27.5%. We aimed to estimate the lifetime prevalence of IPVAW and to identify socioeconomic factors associated with IPVAW in urban Brazil.</p>Methods: Using a cross-sectional community-based design, we interviewed women aged ≥18 years in the urban Brazilian city, Maringá, who currently or have had an intimate partner. The 13-item WHO Violence Against Women instrument was used to ask participants about their experiences with intimate partner violence, including communication patterns, partner’s controlling behaviors, and psychological, physical and sexual violence

Additional file 1: of Oral primary care: an analysis of its impact on the incidence and mortality rates of oral cancer

Description of indicators (context, structure, process and outcome) and databases sources. Extension: .pdf. This file contain a full description of variables, as well as the data sources used to gather secondary information for the article. (PDF 209 kb

Brazilian states and regions.

<p>Brazilian states and regions.</p

Bi-monthly Zika incidence and microcephaly incidence, by region in 2016, Brazil.

<p>Bi-monthly Zika incidence and microcephaly incidence, by region in 2016, Brazil.</p

Spatial clusters—Getis Ord-Gi of microcephaly incidence by bi-monthly period, considering the 5570 Brazilian municipalities.

<p>Spatial clusters—Getis Ord-Gi of microcephaly incidence by bi-monthly period, considering the 5570 Brazilian municipalities.</p

Spatial clusters—Getis Ord-Gi of Zika incidence by bi-monthly period, considering the 5570 Brazilian municipalities.

<p>Spatial clusters—Getis Ord-Gi of Zika incidence by bi-monthly period, considering the 5570 Brazilian municipalities.</p

Spatial relation between the spread patterns of ZIKV and microcephaly, Bivariate Local Moran’s I analysis.

<p>Spatial relation between the spread patterns of ZIKV and microcephaly, Bivariate Local Moran’s I analysis.</p