Results 11 to 20 of about 91 (45)

Effect of Mother’s Education on Child’s Nutritional Status in the Slums of Nairobi

BMC Pediatrics, 2012
Background Malnutrition continues to be a critical public health problem in sub-Saharan Africa. For example, in East Africa, 48 % of children under-five are stunted while 36 % are underweight.
Elizabeth Kimani, Benta Abuya
exaly   +4 more sources

Determinants of Under-Five Mortality in Informal Settlements in Nairobi, Kenya From 2002 to 2018

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.
Richard E Sanya, Samuel Iddi, Marylene Wamukoya   +2 more
exaly   +3 more sources

Maternal Mortality in the Informal Settlements of Nairobi City: What Do We Know? [PDF]

Reproductive Health, 2009
Background Current estimates of maternal mortality ratios in Kenya are at least as high as 560 deaths per 100,000 live births. Given the pervasive poverty and lack of quality health services in slum areas, the maternal mortality situation in this setting
Alex Ezeh, Nyovani Madise, Catherine Kyobutungi   +2 more
exaly   +5 more sources

The health and well-being of older people in Nairobi's slums

Global Health Action, 2010
Background: Globally, it is estimated that people aged 60 and over constitute more than 11% of the population, with the corresponding proportion in developing countries being 8%.
Catherine Kyobutungi, Thaddaeus Egondi, Alex Ezeh   +2 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   +3 more sources

Assessment of cardiovascular risk in a slum population in Kenya: use of World Health Organisation/International Society of Hypertension (WHO/ISH) risk prediction charts - secondary analyses of a household survey [PDF]

BMJ Open, 2019
Objectives Although cardiovascular disease (CVD) is of growing importance in low- and middle-income countries (LMICs), there are conflicting views regarding CVD as a major public health problem for the urban poor, including those living in slums.
Oyinlola Oyebode, Catherine Kyobutungi, Amoolya Vusirikala, Frederick Wekesah   +3 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]

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

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

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   +4 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   +3 more sources

Seasonal variations in under-five mortality, stratified by neonatal, post-neonatal and child mortality, in Korogocho and Viwandani urban slums in Nairobi, Kenya : a time-series analysis on secondary data from the Nairobi Urban Health and Demographic Surveillance System (NUHDSS)

, 2015
Abstract Background  Globally, the amount of people living in urban poor settings is increasing rapidly. In order to effectively direct resources and achieve equity in health, an understanding of how contextual factors are affecting mortality in marginalised groups is first needed.
Moberg, Marianna
core   +4 more sources