Results 41 to 50 of about 1,765 (148)

Evaluating the performance of interpreting Verbal Autopsy 3.2 model for establishing pulmonary tuberculosis as a cause of death in Ethiopia: a population-based cross-sectional study

BMC Public Health, 2012
Background In resource- poor settings, verbal autopsy data are often reviewed by physicians in order to assign the probable cause of death. But in addition to being time and energy consuming, the method is liable to produce inconsistent results.
Tadesse Sebsibe, Tadesse Takele
doaj   +1 more source

Distribution of cause of death in rural Bangladesh during 2003–2010: evidence from two rural areas within Matlab Health and Demographic Surveillance site [PDF]

Global Health Action, 2014
Objective: This study used the InterVA-4 computerised model to assign probable cause of death (CoD) to verbal autopsies (VAs) generated from two rural areas, with a difference in health service provision, within the Matlab Health and Demographic ...
Nurul Alam, Hafizur R. Chowdhury, Ali Ahmed, Mahfuzur Rahman, P. Kim Streatfield   +4 more
doaj   +1 more source

Using verbal autopsy to track epidemic dynamics: the case of HIV-related mortality in South Africa

Population Health Metrics, 2011
Background Verbal autopsy (VA) has often been used for point estimates of cause-specific mortality, but seldom to characterize long-term changes in epidemic patterns.
Mee Paul, Fottrell Edward, Kahn Kathleen, Byass Peter, Collinson Mark A, Tollman Stephen M   +5 more
doaj   +1 more source

Causes and circumstances of maternal death: A secondary analysis of the community-level Interventions for pre-eclampsia (CLIP) trials cohort [PDF]

, 2021
Background: Incomplete vital registration systems mean that causes of death during pregnancy and childbirth are poorly understood in low-income and middle-income countries.
Hoodbhoy, Zahra, Bhutta, Zulfiqar Ahmed, Arion, Kristina, Qureshi, Rahat, Vidler, Marianne, Li, Jing, Sheikh, Sana, Bone, Jeffrey N, Bellad, Mrutyunjaya B, Aukes, Annet M   +9 more
core   +2 more sources

Comparing verbal autopsy cause of death findings as determined by physician coding and probabilistic modelling: a public health analysis of 54 000 deaths in Africa and Asia

Journal of Global Health, 2015
Background: Coverage of civil registration and vital statistics varies globally, with most deaths in Africa and Asia remaining either unregistered or registered without cause of death.
Peter Byass , Kobus Herbst, Edward Fottrell , Mohamed M. Ali, Frank Odhiambo, Nyaguara Amek, Mary J. Hamel, Kayla F. Laserson, Kathleen Kahn, Chodziwadziwa Kabudula, Chodziwadziwa Kabudula, Paul Mee, Jon Bird, Robert Jakob , Osman Sankoh , Stephen M. Tollman   +15 more
doaj   +1 more source

The CSMFs derived from physician review and InterVA model interpretation.

, 2013
The CSMFs derived from physician review and InterVA model interpretation.
Sebsibe Tadesse (458584)
core   +1 more source

Applying the InterVA-4 model to determine causes of death in rural Ethiopia

, 2022
Applying the InterVA-4 model to determine causes of death in rural ...
Yohannes Adama Melaku (13407657), Geert Jan Dinant (13407660), Mark Spigt (477529), Berhe Weldearegawi (543720)   +3 more
core  

First and second most probable cause of neonatal death assigned using InterVA probabilistic model (n = 1433).

, 2016
First and second most probable cause of neonatal death assigned using InterVA probabilistic model (n = 1433).
Juan Emmanuel Dewez (2901155), Nynke van den Broek (295485), Fazlur Rahman (822507), Sarah White (320398), Abdul Halim (822509), Animesh Biswas (822506)   +5 more
core   +1 more source

Prognostic Implications of Vancomycin Therapeutic Drug Monitoring for Critically Ill Stroke Patients: Evidence From a Subtype‐Oriented Analysis

CNS Neuroscience &Therapeutics, Volume 32, Issue 2, February 2026.
Using the MIMIC‐IV critical care database, vancomycin therapeutic drug monitoring was independently associated with improved short‐ and long‐term survival in patients with hemorrhagic stroke, but not ischemic stroke. These findings highlight the value of individualized antimicrobial optimization in neurocritical care.
Hongbo San, Jing Feng, Hongyu Zhang, Mengsi Zhan, Jiahao Yao, Jianheng Gu, Lang Li, Yihan Hu, Chenxing Liu, Haonan Chen, Jianing Jiang, Shuang Liu, Xuefeng Wang   +12 more
wiley   +1 more source

The Leading Causes of Death among Adult Mortality: Data Analysis of Sleman Health and Demographic Surveillance System, Indonesia

Jurnal Info Kesehatan
Determining the cause of death (CoD) is crucial for effective health policy and decision-making, particularly in population health programs. The World Health Organization (WHO) developed the Verbal Autopsy (VA) tool to ascertain CoD through verbal ...
Abdul Wahab, Citra Indriani, Lutfan Lazuardi, Ningxin Zhu   +3 more
doaj   +1 more source