作者: Eveline Otte im Kampe , Olaf Müller , Ali Sie , Heiko Becher
DOI: 10.1186/S12936-015-0818-9
关键词: Psychological intervention 、 Cause of death 、 Medicine 、 Poisson regression 、 Malaria 、 Wet season 、 Mortality rate 、 Verbal autopsy 、 Pediatrics 、 Demography 、 Public health
摘要: High mortality levels in sub-Saharan Africa are still a major public health problem. Children the most affected group with malaria as one of causes death this region. To plan interventions, reliable empirical information on cause-specific patterns is essential, yet such data often not available developing countries. Health and Demographic Surveillance Systems (HDSS) implementing verbal autopsy (VA) method provide longitudinal basis. Physician Coded VA usually used to determine cause death, but recently computerized method, Interpreting (InterVA) was alternatively introduced. This study investigates effect season all-cause analysing from 1998 2007 obtained by Nouna HDSS rural Burkina Faso derived InterVA. Monthly rates were calculated for different age groups (infants, children, adolescents, adults, elderly). Seasonal temporal trends modelled parametric Poisson regression adjusted sex, area residence year death. Overall, 7,378 deaths occurred corresponding rate 11.9/1,000 highest infants (56.8/1,000) children (22.0/1,000). Young malaria. Malaria showed significantly higher during rainy stagnant long-term trend. The seasonal trend well described parametrically sinusoidal function. InterVA assigned about half many than physicians. remains highly Faso. appears reasonably patterns, which should be considered planning resources activities.