RESEARCH ARTICLE
Space-time variations in child mortality in a rural South African population with high HIV prevalence (2000–2014) Boikhutso Tlou1,2*, Benn Sartorius1,2, Frank Tanser1,2,3* 1 Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa, 2 Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa, 3 Centre for the AIDS Programme of Research in South Africa–CAPRISA, University of KwaZulu-Natal, Durban, South Africa
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* [email protected] (TB); [email protected] (FT)
Abstract Objective
OPEN ACCESS Citation: Tlou B, Sartorius B, Tanser F (2017) Space-time variations in child mortality in a rural South African population with high HIV prevalence (2000–2014). PLoS ONE 12(8): e0182478. https:// doi.org/10.1371/journal.pone.0182478 Editor: Agricola Odoi, University of Tennessee Knoxville, UNITED STATES Received: August 30, 2016 Accepted: July 19, 2017 Published: August 24, 2017 Copyright: © 2017 Tlou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: For data sets with restricted access, data access agreement is completed when access to the specific data set is requested on the data repository and the request is submitted to the applicable data custodian. Requests for ad hoc data sets, beyond the data sets archived on the Africa Centre data repository, should be directed to Africa Centre’s Helpdesk ([email protected]) with “Research Dataset Request” in the subject line of the email. The data user will be notified once access approval is granted.
The aim of the study was to identify the key determinants of child mortality ‘hot-spots’ in space and time.
Methods Comprehensive population-based mortality data collected between 2000 and 2014 by the Africa Centre Demographic Information System located in the UMkhanyakude District of KwaZulu-Natal Province, South Africa, was analysed. We assigned all mortality events and person-time of observation for children
Space-time variations in child mortality in a rural South African population with high HIV prevalence (2000–2014) Boikhutso Tlou1,2*, Benn Sartorius1,2, Frank Tanser1,2,3* 1 Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa, 2 Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa, 3 Centre for the AIDS Programme of Research in South Africa–CAPRISA, University of KwaZulu-Natal, Durban, South Africa
a1111111111 a1111111111 a1111111111 a1111111111 a1111111111
* [email protected] (TB); [email protected] (FT)
Abstract Objective
OPEN ACCESS Citation: Tlou B, Sartorius B, Tanser F (2017) Space-time variations in child mortality in a rural South African population with high HIV prevalence (2000–2014). PLoS ONE 12(8): e0182478. https:// doi.org/10.1371/journal.pone.0182478 Editor: Agricola Odoi, University of Tennessee Knoxville, UNITED STATES Received: August 30, 2016 Accepted: July 19, 2017 Published: August 24, 2017 Copyright: © 2017 Tlou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: For data sets with restricted access, data access agreement is completed when access to the specific data set is requested on the data repository and the request is submitted to the applicable data custodian. Requests for ad hoc data sets, beyond the data sets archived on the Africa Centre data repository, should be directed to Africa Centre’s Helpdesk ([email protected]) with “Research Dataset Request” in the subject line of the email. The data user will be notified once access approval is granted.
The aim of the study was to identify the key determinants of child mortality ‘hot-spots’ in space and time.
Methods Comprehensive population-based mortality data collected between 2000 and 2014 by the Africa Centre Demographic Information System located in the UMkhanyakude District of KwaZulu-Natal Province, South Africa, was analysed. We assigned all mortality events and person-time of observation for children
