dc.contributor.author |
Scovronick, Noah S.
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|
dc.contributor.author |
Sera, Francesco
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|
dc.contributor.author |
Acquaotta, Fiorella
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dc.contributor.author |
Garzena, Diego
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dc.contributor.author |
Fratianni, Simona
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|
dc.contributor.author |
Wright, Caradee Yael
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dc.contributor.author |
Gasparrini, Antonio
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dc.date.accessioned |
2019-10-17T08:03:53Z |
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dc.date.available |
2019-10-17T08:03:53Z |
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dc.date.issued |
2018-02 |
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dc.description.abstract |
BACKGROUND : There is an extensive literature describing temperature-mortality associations in developed regions, but research from developing countries, and Africa in particular, is limited. METHODS : We conducted a time-series analysis using daily temperature data and a national dataset of all 8.8 million recorded deaths in South Africa between 1997 and 2013. Mortality and temperature data were linked at the district municipality level and relationships were estimated with a distributed lag non-linear model with 21 days of lag, and pooled in a multivariate meta-analysis. RESULTS : We found an association between daily maximum temperature and mortality. The relative risk for all-age all-cause mortality on very cold and hot days (1st and 99th percentile of the temperature distribution) was 1.14 (1.10,1.17) and 1.06 (1.03,1.09), respectively, when compared to the minimum mortality temperature. This “U” shaped relationship was evident for every age and cause group investigated, except among 25–44 year olds. The strongest associations were in the youngest (< 5) and oldest (> 64) age groups and for cardiorespiratory causes. Heat effects occurred immediately after exposure but diminished quickly whereas cold effects were delayed but persistent. Overall, 3.4% of deaths (~ 290,000) in South Africa were attributable to non-optimum temperatures over the study period. We also present results for the 52 district municipalities individually. CONCLUSIONS : An assessment of the largest-ever dataset for analyzing temperature-mortality associations in (South) Africa indicates mortality burdens associated with cold and heat, and identifies the young and elderly as particularly vulnerable. |
en_ZA |
dc.description.department |
Geography, Geoinformatics and Meteorology |
en_ZA |
dc.description.sponsorship |
AG and FS are supported by a research grant from the Medical Research Council UK (Grant ID: MR/M022625/1). CYW is supported by research funding from the National Research Foundation and the South African Medical Research Council. |
en_ZA |
dc.description.uri |
http://www.elsevier.com/locate/envres |
en_ZA |
dc.identifier.citation |
Scovronick, N.S., Sera, F., Acquaotta, F. et al., 2018, 'The association between ambient temperature and mortality in South Africa : a time-series analysis', Environmental Research, vol. 161, pp. 229-235. |
en_ZA |
dc.identifier.issn |
0013-9351 (print) |
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dc.identifier.issn |
1096-0953 (online) |
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dc.identifier.other |
10.1016/j.envres.2017.11.001 |
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dc.identifier.uri |
http://hdl.handle.net/2263/71878 |
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dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). |
en_ZA |
dc.subject |
Temperature |
en_ZA |
dc.subject |
Weather |
en_ZA |
dc.subject |
Mortality |
en_ZA |
dc.subject |
South Africa (SA) |
en_ZA |
dc.subject |
Time series analysis |
en_ZA |
dc.subject |
Stillbirth |
en_ZA |
dc.subject |
Risk factor |
en_ZA |
dc.subject |
Ambient air |
en_ZA |
dc.subject |
Respiratory tract disease |
en_ZA |
dc.subject |
Environmental temperature |
en_ZA |
dc.subject |
Climate change |
en_ZA |
dc.subject |
Cardiovascular disease |
en_ZA |
dc.title |
The association between ambient temperature and mortality in South Africa : a time-series analysis |
en_ZA |
dc.type |
Article |
en_ZA |