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Impact of Climate Change on Children’s Health in Limpopo Province, South Africa

This paper examines the impact of climate change on children’s health, in the Limpopo Province of South Africa. Twenty one years climatic data were collected to analyse climatic conditions in the province. The study also employs 12 years hospital records of clinically diagnosed climate-related ailme...

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Autores principales: Thompson, Adeboyejo Aina, Matamale, Lirvhuwani, Kharidza, Shonisani Danisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367281/
https://www.ncbi.nlm.nih.gov/pubmed/22690167
http://dx.doi.org/10.3390/ijerph9030831
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author Thompson, Adeboyejo Aina
Matamale, Lirvhuwani
Kharidza, Shonisani Danisa
author_facet Thompson, Adeboyejo Aina
Matamale, Lirvhuwani
Kharidza, Shonisani Danisa
author_sort Thompson, Adeboyejo Aina
collection PubMed
description This paper examines the impact of climate change on children’s health, in the Limpopo Province of South Africa. Twenty one years climatic data were collected to analyse climatic conditions in the province. The study also employs 12 years hospital records of clinically diagnosed climate-related ailments among children under 13 years to examine the incidence, spatio-temporal, age and sex variations of the diseases. Regression analysis was employed to examine the relationships between climatic parameters and incidence of diseases and also to predict distribution of disease by 2050. The results show that the most prevalent diseases were diarrhea (42.4%), followed by respiratory infection (31.3%), asthma (6.6%) and malaria (6.5%). The incidence varied within city, with the high density areas recording the highest proportion (76.7%), followed by the medium (9.4%) and low (2.5%) density residential areas. The most tropical location, Mussina, had the highest incidence of the most prevalent disease, diarrhea, with 59.4%. Mortality rate was higher for males (54.2%). Analysis of 21 years of climatic data show that maximum temperature is positively correlated with years in four cities with r coefficients of 0.50; 0.56, 0.48 and 0.02, thereby indicating local warming. Similarly rainfall decreased over time in all the cities, with r ranging from −0.02 for Bela Bela to r = 0.18 for Makhado. Results of the regression analysis show that 37.9% of disease incidence is accounted for by the combined influence of temperature and rainfall.
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spelling pubmed-33672812012-06-11 Impact of Climate Change on Children’s Health in Limpopo Province, South Africa Thompson, Adeboyejo Aina Matamale, Lirvhuwani Kharidza, Shonisani Danisa Int J Environ Res Public Health Article This paper examines the impact of climate change on children’s health, in the Limpopo Province of South Africa. Twenty one years climatic data were collected to analyse climatic conditions in the province. The study also employs 12 years hospital records of clinically diagnosed climate-related ailments among children under 13 years to examine the incidence, spatio-temporal, age and sex variations of the diseases. Regression analysis was employed to examine the relationships between climatic parameters and incidence of diseases and also to predict distribution of disease by 2050. The results show that the most prevalent diseases were diarrhea (42.4%), followed by respiratory infection (31.3%), asthma (6.6%) and malaria (6.5%). The incidence varied within city, with the high density areas recording the highest proportion (76.7%), followed by the medium (9.4%) and low (2.5%) density residential areas. The most tropical location, Mussina, had the highest incidence of the most prevalent disease, diarrhea, with 59.4%. Mortality rate was higher for males (54.2%). Analysis of 21 years of climatic data show that maximum temperature is positively correlated with years in four cities with r coefficients of 0.50; 0.56, 0.48 and 0.02, thereby indicating local warming. Similarly rainfall decreased over time in all the cities, with r ranging from −0.02 for Bela Bela to r = 0.18 for Makhado. Results of the regression analysis show that 37.9% of disease incidence is accounted for by the combined influence of temperature and rainfall. MDPI 2012-03-08 2012-03 /pmc/articles/PMC3367281/ /pubmed/22690167 http://dx.doi.org/10.3390/ijerph9030831 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Thompson, Adeboyejo Aina
Matamale, Lirvhuwani
Kharidza, Shonisani Danisa
Impact of Climate Change on Children’s Health in Limpopo Province, South Africa
title Impact of Climate Change on Children’s Health in Limpopo Province, South Africa
title_full Impact of Climate Change on Children’s Health in Limpopo Province, South Africa
title_fullStr Impact of Climate Change on Children’s Health in Limpopo Province, South Africa
title_full_unstemmed Impact of Climate Change on Children’s Health in Limpopo Province, South Africa
title_short Impact of Climate Change on Children’s Health in Limpopo Province, South Africa
title_sort impact of climate change on children’s health in limpopo province, south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367281/
https://www.ncbi.nlm.nih.gov/pubmed/22690167
http://dx.doi.org/10.3390/ijerph9030831
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