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International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2022 Dec 7;19(24):16378. doi: 10.3390/ijerph192416378

Correction: Standen et al. Aboriginal Population and Climate Change in Australia: Implications for Health and Adaptation Planning. Int. J. Environ. Res. Public Health 2022, 19, 7502

Jeffrey C Standen 1,2,*, Jessica Spencer 1,, Grace W Lee 1,2, Joe Van Buskirk 2, Veronica Matthews 3,, Ivan Hanigan 2, Sinead Boylan 2, Edward Jegasothy 2,3, Matilde Breth-Petersen 2, Geoffrey G Morgan 2,3
PMCID: PMC9765390  PMID: 36554985

Error in Figures 2c and 3a

In the original publication [1], there was an error in Figure 2c containing a map of climate exposures with bar charts indicating relative exposure by category across Aboriginal and non-Aboriginal populations. The exposures in Figure 2c were projected additional days exceeding 35 °C annually, 2020–2039. There was also an error in Figure 3a containing a map of annual days with Macarthur Forest Fire Danger Index exceeding 50 (i.e., “severe” fire danger), with bar charts indicating relative exposure by category across Aboriginal and non-Aboriginal populations for historical data between 1990 and 2009. During publication, formatting changes of the accepted manuscript occurred.

The categories in the bar charts in Figure 2c and Figure 3a were incorrect. The corrected Figure 2 and Figure 3 appear below. There are no changes to the text in the manuscript.

Figure 2.

Figure 2

Maps of climate exposures with bar charts indicating relative exposure by category across Aboriginal and non-Aboriginal populations. Exposures include: (a) Historical annual average maximum heatwave duration (days), 1990–2019; (b) Historical annual days exceeding 35 °C, 1990–2019; (c) Projected additional days exceeding 35 °C annually, 2020–2039; (d) Historical annual rainfall variability, 1990–2019; (e) Historical annual rainfall in millimetres (mm), 1990–2019; (f) Projected relative change in annual rainfall, 2020–2039. Triangle markers denote identified discrete Aboriginal communities. See Appendix A for a summary of descriptive statistics for selected climate exposure estimates on a continuous scale.

Figure 3.

Figure 3

Maps of annual days with Macarthur Forest Fire Danger Index exceeding 50 (i.e., “severe” fire danger), with bar charts indicating relative exposure by category across Aboriginal and non-Aboriginal populations: (a) historical between 1990 and 2009; and (b) projected for 2020–2039. See Appendix A for a summary of descriptive statistics.

Error in Table A2

In the original publication, there was a formatting error in Table A2 containing climate exposure estimates by Aboriginal versus non-Aboriginal usual resident populations stratified by the Index of Relative Socioeconomic Disadvantage (IRSD). The IRSD quintile 5 for the relative change in drought-affected months (1990–2006 vs. 2007–2020) was included in the online version but omitted from the pdf version of the published manuscript.

The relevant section of the corrected Table A2 appears below.

Table A2.

Climate exposure estimates by Aboriginal versus non-Aboriginal usual resident populations stratified by the Index of Relative Socioeconomic Disadvantage (IRSD). Small cell counts for either population have been aggregated.

Climate
Exposure
IRSD
Quintile
Exposure Category Aboriginal URP Non-Aboriginal URP Binary Risk
Category
High-Risk Exposure Population (%) Odds Ratio
n % n % Aboriginal Non-Aboriginal
Relative change in drought-affected months (1990–2006 vs. 2007–2020) 1 ≤−10% 13,856 15.3% 344,184 23.3% Lower 2.12 [2.09–2.15]
−9.9–−5% 25,938 28.6% 609,131 41.2% Lower
−4.9–−2.5% 9507 10.5% 135,713 9.2% Lower
−2.4–0% 8878 9.8% 80,167 5.4% Lower
0.01–5% 17,490 19.3% 178,228 12.1% Higher 35.9% 20.9%
>5% 15,134 16.7% 130,805 8.8% Higher
2 ≤10% 8460 18.5% 418,629 30.7% Lower 1.76 [1.72–1.79]
−9.9–−5% 13,802 30.2% 452,136 33.1% Lower
−4.9–−2.5% 4331 9.5% 109,654 8.0% Lower
−2.4–0% 3622 7.9% 77,300 5.7% Lower
0.01–5% 10,035 22.0% 202,484 14.8% Higher 33.9% 22.5%
>5% 5427 11.9% 105,395 7.7% Higher
3 ≤−10% 6724 23.1% 459,306 38.2% Lower 1.70 [1.66–1.75]
−9.9–−5% 8323 28.6% 365,938 30.4% Lower
−4.9–−2.5% 3383 11.6% 87,006 7.2% Lower
−2.4–0% 2549 8.8% 68,078 5.7% Lower
0.01–5% 5718 19.7% 153,570 12.8% Higher 27.9% 18.5%
>5% 2401 8.3% 69,538 5.8% Higher
4 ≤−10% 6010 29.9% 526,829 45.0% Lower 1.89 [1.83–1.96]
−9.9–−5% 5613 27.9% 335,048 28.6% Lower
−4.9–−2.5% 1503 7.5% 61,476 5.3% Lower
−2.4–0% 1847 9.2% 66,667 5.7% Lower
0.01–5% 3834 19.0% 134,397 11.5% Higher 25.6% 15.4%
>5% 1324 6.6% 45,693 3.9% Higher
5 ≤−10% 4192 34.4% 645,501 43.2% Lower 2.65 [2.53–2.79]
−9.9–−5% 4677 38.4% 669,733 44.8% Lower
−4.9–−2.5% 697 5.7% 39,584 2.6% Lower
−2.4–0% 693 5.7% 40,711 2.7% Lower
0.01–5% 1528 12.5% 81,108 5.4% Higher 15.9% 6.6%
>5% 405 3.3% 17,986 1.2% Higher

The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Reference

  • 1.Standen J.C., Spencer J., Lee G.W., Van Buskirk J., Matthews V., Hanigan I., Boylan S., Jegasothy E., Breth-Petersen M., Morgan G.G. Aboriginal Population and Climate Change in Australia: Implications for Health and Adaptation Planning. Int. J. Environ. Res. Public Health. 2022;19:7502. doi: 10.3390/ijerph19127502. [DOI] [PMC free article] [PubMed] [Google Scholar]

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