Int J Gynaecol Obstet
January 2025
Objective: The aim of the present study was to identify the risk factors for severe maternal outcomes (SMO) of women with suspected or confirmed infections using the data from the WHO global maternal sepsis study (GLOSS).
Methods: We conducted a secondary analysis of the GLOSS cohort study, which involved pregnant or recently pregnant women with suspected or confirmed infection around 713 health facilities in 52 low- and middle-income countries, and high-income countries. A nested case-control study was conducted within the GLOSS cohort.
BMC Pregnancy Childbirth
May 2022
Background: Obstetric infections are the third most common cause of maternal mortality, with the largest burden in low and middle-income countries (LMICs). We analyzed causes of infection-related maternal deaths and near-miss identified contributing factors and generated suggested actions for quality of care improvement.
Method: An international, virtual confidential enquiry was conducted for maternal deaths and near-miss cases that occurred in 15 health facilities in 11 LMICs reporting at least one death within the GLOSS study.
Geographical information systems (GIS) use for development of epidemiological maps in dengue has been extensively used, however not in other emerging arboviral diseases, nor in Central America. Surveillance cases data (2015) were used to estimate annual incidence rates of dengue and chikungunya (cases/100,000 pop) to develop the first maps in the departments and municipalities of Honduras. The GIS software used was Kosmo Desktop 3.
View Article and Find Full Text PDFInfluenza Other Respir Viruses
July 2016
Objectives: Our objective was to estimate the incidence of influenza-associated hospitalizations and in-hospital deaths in Central American Region.
Design And Setting: We used hospital discharge records, influenza surveillance virology data, and population projections collected from Costa Rica, El Salvador, Guatemala, Honduras, and Nicaragua to estimate influenza-associated hospitalizations and in-hospital deaths. We performed a meta-analysis of influenza-associated hospitalizations and in-hospital deaths.