dc.contributor.author |
Kapwata, T
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dc.contributor.author |
Wright, CY
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|
dc.contributor.author |
Du Preez, DJ
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dc.contributor.author |
Kunene, Z
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dc.contributor.author |
Mathee, A
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dc.contributor.author |
Ikeda, T
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|
dc.contributor.author |
Landman, W
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dc.contributor.author |
Maharaj, R
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dc.contributor.author |
Sweijd, Neville, A
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dc.contributor.author |
Minakawa, N
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dc.contributor.author |
Blesic, S
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dc.date.accessioned |
2022-05-04T19:44:38Z |
|
dc.date.available |
2022-05-04T19:44:38Z |
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dc.date.issued |
2021-10 |
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dc.identifier.citation |
Kapwata, T., Wright, C., Du Preez, D., Kunene, Z., Mathee, A., Ikeda, T., Landman, W. & Maharaj, R. et al. 2021. Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis. <i>Science of The Total Environment, 791.</i> http://hdl.handle.net/10204/12387 |
en_ZA |
dc.identifier.issn |
0048-9697 |
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dc.identifier.issn |
1879-1026 |
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dc.identifier.uri |
https://doi.org/10.1016/j.scitotenv.2021.148307
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dc.identifier.uri |
http://hdl.handle.net/10204/12387
|
|
dc.description.abstract |
Background: Climate variables impact human health and in an era of climate change, there is a pressing need to understand these relationships to best inform how such impacts are likely to change. Objectives: This study sought to investigate time series of daily admissions from two public hospitals in Limpopo province in South Africa with climate variability and air quality. Methods: We used wavelet transform cross-correlation analysis to monitor coincidences in changes of meteorological (temperature and rainfall) and air quality (concentrations of PM2.5 and NO2) variables with admissions to hospitals for gastrointestinal illnesses including diarrhoea, pneumonia-related diagnosis, malaria and asthma cases. We were interested to disentangle meteorological or environmental variables that might be associated with underlying temporal variations of disease prevalence measured through visits to hospitals. Results: We found preconditioning of prevalence of pneumonia by changes in air quality and showed that malaria in South Africa is a multivariate event, initiated by co-occurrence of heat and rainfall. We provided new statistical estimates of time delays between the change of weather or air pollution and increase of hospital admissions for pneumonia and malaria that are addition to already known seasonal variations. We found that increase of prevalence of pneumonia follows changes in air quality after a time period of 10 to 15 days, while the increase of incidence of malaria follows the co-occurrence of high temperature and rainfall after a 30-day interval. Discussion: Our findings have relevance for early warning system development and climate change adaptation planning to protect human health and well-being. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.sciencedirect.com/science/article/pii/S0048969721033787 |
en_US |
dc.source |
Science of The Total Environment, 791 |
en_US |
dc.subject |
Climate change |
en_US |
dc.subject |
Environmental health |
en_US |
dc.subject |
Infectious disease |
en_US |
dc.subject |
Respiratory disease |
en_US |
dc.title |
Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
15pp |
en_US |
dc.description.note |
Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.cluster |
Smart Places |
en_US |
dc.description.impactarea |
Climate Services |
en_US |
dc.identifier.apacitation |
Kapwata, T., Wright, C., Du Preez, D., Kunene, Z., Mathee, A., Ikeda, T., ... Blesic, S. (2021). Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis. <i>Science of The Total Environment, 791</i>, http://hdl.handle.net/10204/12387 |
en_ZA |
dc.identifier.chicagocitation |
Kapwata, T, CY Wright, DJ Du Preez, Z Kunene, A Mathee, T Ikeda, W Landman, et al "Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis." <i>Science of The Total Environment, 791</i> (2021) http://hdl.handle.net/10204/12387 |
en_ZA |
dc.identifier.vancouvercitation |
Kapwata T, Wright C, Du Preez D, Kunene Z, Mathee A, Ikeda T, et al. Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis. Science of The Total Environment, 791. 2021; http://hdl.handle.net/10204/12387. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Kapwata, T
AU - Wright, CY
AU - Du Preez, DJ
AU - Kunene, Z
AU - Mathee, A
AU - Ikeda, T
AU - Landman, W
AU - Maharaj, R
AU - Sweijd, Neville, A
AU - Minakawa, N
AU - Blesic, S
AB - Background: Climate variables impact human health and in an era of climate change, there is a pressing need to understand these relationships to best inform how such impacts are likely to change. Objectives: This study sought to investigate time series of daily admissions from two public hospitals in Limpopo province in South Africa with climate variability and air quality. Methods: We used wavelet transform cross-correlation analysis to monitor coincidences in changes of meteorological (temperature and rainfall) and air quality (concentrations of PM2.5 and NO2) variables with admissions to hospitals for gastrointestinal illnesses including diarrhoea, pneumonia-related diagnosis, malaria and asthma cases. We were interested to disentangle meteorological or environmental variables that might be associated with underlying temporal variations of disease prevalence measured through visits to hospitals. Results: We found preconditioning of prevalence of pneumonia by changes in air quality and showed that malaria in South Africa is a multivariate event, initiated by co-occurrence of heat and rainfall. We provided new statistical estimates of time delays between the change of weather or air pollution and increase of hospital admissions for pneumonia and malaria that are addition to already known seasonal variations. We found that increase of prevalence of pneumonia follows changes in air quality after a time period of 10 to 15 days, while the increase of incidence of malaria follows the co-occurrence of high temperature and rainfall after a 30-day interval. Discussion: Our findings have relevance for early warning system development and climate change adaptation planning to protect human health and well-being.
DA - 2021-10
DB - ResearchSpace
DP - CSIR
J1 - Science of The Total Environment, 791
KW - Climate change
KW - Environmental health
KW - Infectious disease
KW - Respiratory disease
LK - https://researchspace.csir.co.za
PY - 2021
SM - 0048-9697
SM - 1879-1026
T1 - Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis
TI - Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis
UR - http://hdl.handle.net/10204/12387
ER -
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en_ZA |
dc.identifier.worklist |
25531 |
en_US |