Trends and risk factors for non-communicable diseases mortality in Nairobi slums (2008-2017).

ABSTRACT:

Introduction

Tracking progress in reaching global targets for reducing premature mortality from non-communicable diseases (NCDs) requires accurately collected population based longitudinal data. However, most African countries lack such data because of weak or non-existent civil registration systems. We used data from the Nairobi Urban Health and Demographic Surveillance System (NUDSS) to estimate NCD mortality trends over time and to explore the determinants of NCD mortality.

Methods

Deaths identified in the NUHDSS were followed up with a verbal autopsy to determine the signs and symptoms preceding the death. Causes of death were then assigned using InSilicoVA algorithm. We calculated the rates of NCD mortality in the whole NUHDSS population between 2008 and 2017, looking a

SUBMITTER: Asiki G 

PROVIDER: S-EPMC8683743 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature