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

Abstract 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 Urban Health and Demographic Surveill...

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Main Authors: Evans Omondi, Samuel Iddi, Sharon Chepkemoi, Bylhah Mugotitsa, Steve Cygu, Boscow Okumu, Abdhalah Ziraba, Damazo T. Kadengye, Agnes Kiragga
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-79895-x
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author Evans Omondi
Samuel Iddi
Sharon Chepkemoi
Bylhah Mugotitsa
Steve Cygu
Boscow Okumu
Abdhalah Ziraba
Damazo T. Kadengye
Agnes Kiragga
author_facet Evans Omondi
Samuel Iddi
Sharon Chepkemoi
Bylhah Mugotitsa
Steve Cygu
Boscow Okumu
Abdhalah Ziraba
Damazo T. Kadengye
Agnes Kiragga
author_sort Evans Omondi
collection DOAJ
description Abstract 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 Urban Health and Demographic Surveillance System (NUHDSS). Thus, it intends to unravel patterns and trends that can guide the development of targeted policies and interventions to address the population’s evolving needs. Using a continuous-time homogeneous multi-state Markov model, longitudinal data from 223,350 individuals in Korogocho and Viwandani urban slums, we study the enumeration, births, deaths, and migrations among urban poor in Nairobi, shedding light on population dynamics and movements over time, disaggregated by gender. Findings indicate a positive net migration in population per thousand in 2002, dropping in 2004, with Viwandani consistently showing higher birth rates than Korogocho. Males generally have higher death rates than females. Females from Viwandani are 39.0% more likely to exit after enumeration compared to Korogocho, while males are 35.6% more likely to move from enumeration to exit compared to males from Korogocho. Both genders from Viwandani have a decreased likelihood of moving from birth to death compared to Korogocho. Our findings provide unique insights into migration in urban Kenya, the frequency and movement to different demographic events and any gender differences that warrant strategic policies for effective population and health planning in Africa. These findings can inform the design of effective health interventions that are often affected by migration and population growth.
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spelling doaj-art-0b17c4bbb6ab4596af8d56d65668d79f2024-11-24T12:23:31ZengNature PortfolioScientific Reports2045-23222024-11-0114111910.1038/s41598-024-79895-xUnderstanding demographic events and migration patterns in two urban slums of Nairobi City in KenyaEvans Omondi0Samuel Iddi1Sharon Chepkemoi2Bylhah Mugotitsa3Steve Cygu4Boscow Okumu5Abdhalah Ziraba6Damazo T. Kadengye7Agnes Kiragga8African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)African Population and Health Research Center (APHRC)Abstract 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 Urban Health and Demographic Surveillance System (NUHDSS). Thus, it intends to unravel patterns and trends that can guide the development of targeted policies and interventions to address the population’s evolving needs. Using a continuous-time homogeneous multi-state Markov model, longitudinal data from 223,350 individuals in Korogocho and Viwandani urban slums, we study the enumeration, births, deaths, and migrations among urban poor in Nairobi, shedding light on population dynamics and movements over time, disaggregated by gender. Findings indicate a positive net migration in population per thousand in 2002, dropping in 2004, with Viwandani consistently showing higher birth rates than Korogocho. Males generally have higher death rates than females. Females from Viwandani are 39.0% more likely to exit after enumeration compared to Korogocho, while males are 35.6% more likely to move from enumeration to exit compared to males from Korogocho. Both genders from Viwandani have a decreased likelihood of moving from birth to death compared to Korogocho. Our findings provide unique insights into migration in urban Kenya, the frequency and movement to different demographic events and any gender differences that warrant strategic policies for effective population and health planning in Africa. These findings can inform the design of effective health interventions that are often affected by migration and population growth.https://doi.org/10.1038/s41598-024-79895-xPopulationDemographyUrban slumsMigrationSurveillanceMulti-state model
spellingShingle Evans Omondi
Samuel Iddi
Sharon Chepkemoi
Bylhah Mugotitsa
Steve Cygu
Boscow Okumu
Abdhalah Ziraba
Damazo T. Kadengye
Agnes Kiragga
Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
Scientific Reports
Population
Demography
Urban slums
Migration
Surveillance
Multi-state model
title Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
title_full Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
title_fullStr Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
title_full_unstemmed Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
title_short Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya
title_sort understanding demographic events and migration patterns in two urban slums of nairobi city in kenya
topic Population
Demography
Urban slums
Migration
Surveillance
Multi-state model
url https://doi.org/10.1038/s41598-024-79895-x
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