Results 1 to 10 of about 238 (65)

Trends and risk factors for non-communicable diseases mortality in Nairobi slums (2008–2017) [PDF]

Global Epidemiology, 2021
Introduction: Tracking progress in reaching global targets for reducing premature mortality from non-communicable diseases (NCDs) requires accurately collected population based longitudinal data.
Gershim Asiki, Damazo Kadengye, Clara Calvert, Marylene Wamukoya, Shukri F. Mohamed, Abdhalah Ziraba, Samuel Iddi, Martin Bangha, Frederick Wekesah, Claudious Chikozho, Alison Price, Mia Crampin, Catherine Kyobutungi   +12 more
doaj   +2 more sources

Characterisation of tuberculosis mortality in informal settlements in Nairobi, Kenya: analysis of data between 2002 and 2016 [PDF]

BMC Infectious Diseases, 2021
Background Tuberculosis (TB) remains one of the key public health problems in Africa. Due to multifaceted challenges, its burden is poorly described in informal settlements. We describe tuberculosis mortality in two informal settlements in Nairobi, Kenya.
Judy Gichuki, Donnie Mategula
doaj   +2 more sources

Determinants of transitions in water and sanitation services in two urban slums of Nairobi: A multi-state modeling approach [PDF]

Global Epidemiology, 2021
Access to improved water, sanitation, and hygiene (WASH) services at the household level remains a good strategy to improve the health and well-being of individuals.
Samuel Iddi, Dennis Akeyo, Moussa Bagayoko, Slyvia Kiwuwa-Muyingo, Claudious Chikozho, Damazo T. Kadengye   +5 more
doaj   +2 more sources

Modelling seizure-related predictors of epilepsy diagnostic gap in two urban informal settlements of Nairobi using machine learning [PDF]

Global Epidemiology
Background: There is a wide gap in epilepsy diagnosis, particularly in low- and middle-income countries. We used machine learning models to identify seizure-related factors associated with the epilepsy diagnostic gap within the Nairobi Urban Health and ...
Daniel Mwanga, Frederick Murunga Wekesah, Frank Ouma, Symon M. Kariuki, Joan Kinuthia, Peter Otieno, Thomas Kwasa, Quincy Mongare, Abigael Machuka, Steve Cygu, Samuel Iddi, Gabriel Davis Jones, Arjune Sen, Charles R. Newton, Gershim Asiki, Damazo T. Kadengye   +15 more
doaj   +2 more sources

Does recall time matter in verbal autopsies? Evidence from urban informal settlements in Nairobi, Kenya [version 2; peer review: 2 approved] [PDF]

Wellcome Open Research, 2021
Background: To assign a cause of death to non-medically certified deaths, verbal autopsies (VAs) are widely used to determine the cause of death.
Donnie Mategula, Judy Gichuki
doaj   +2 more sources

Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya [PDF]

Scientific Reports
Understanding the dynamics of movements between different demographic events is essential for informing effective population management strategies. This study aims to characterize the trajectories of demographic and other vital events within the Nairobi ...
Evans Omondi, Samuel Iddi, Sharon Chepkemoi, Bylhah Mugotitsa, Steve Cygu, Boscow Okumu, Abdhalah Ziraba, Damazo T. Kadengye, Agnes Kiragga   +8 more
doaj   +2 more sources

Exploring Multimorbidity Through the Use of Deterministic and Probabilistic Record Linkage of Data in Five Health Facilities in Nairobi [PDF]

International Journal of Population Data Science
Introduction Data collected by Health Demographic Surveillance Systems (HDSSs) at the community level can support very powerful research questions if it was linked to records at health facilities. In particular, understanding multimorbidity and building
Daniel Nderitu, Isaac Kisiangani, Nkosinathi Masilela   +2 more
doaj   +2 more sources

Determinants of under-five mortality in informal settlements in Nairobi, Kenya from 2002 to 2018 [PDF]

BMC Public Health
Background Childhood mortality persists as a significant public health challenge in low and middle-income countries and is uneven within countries, with poor communities such as urban informal settlements bearing the highest burden.
Samuel Iddi, Dennis Akeyo, Richard E. Sanya, Marylene Wamukoya, Gershim Asiki   +4 more
doaj   +2 more sources

Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning [PDF]

Global Epidemiology
Background: Attrition is a challenge in parameter estimation in both longitudinal and multi-stage cross-sectional studies. Here, we examine utility of machine learning to predict attrition and identify associated factors in a two-stage population-based ...
Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja   +45 more
doaj   +2 more sources

Utilizing a multi-stage transition model for analysing child stunting in two urban slum settlements of Nairobi: A longitudinal analysis, 2011-2014. [PDF]

PLoS ONE
IntroductionStunting is common among children in many low and middle income countries, particularly in rural and urban slum settings. Few studies have described child stunting transitions and the associated factors in urban slum settlements.
Michael S Oduro, Samuel Iddi, Louis Asiedu, Gershim Asiki, Damazo T Kadengye   +4 more
doaj   +2 more sources