Error in Figure
In the original publication [1], there was an omission in Figure 3 as published. Figure 3A,C are missing coordinates for correlation coefficients and odds ratios. The corrected Figure 3 appears below. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
Footnotes
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![View Image - Figure 3. Overview of Data Synthesis. (A) Correlation coefficients were estimate for: PM2.5 and 10 and C19 Incidence and mortality for * Low green space countries and † High green space countries: Meo [62]; PM2.5 and 10 and C19 Incidence in Akan, Li, Sahoo and Fattorini, Sangkham; PM2.5 and 10 and C19 Prevalence in Zoran, Dragone; PM2.5 and C19 Incidence in Meo § [68], Meo ‖ [59], Meo Δ [60]; Bolano Ortiz; PM2.5 and C19 Prevalence in Semczuk; PM2.5 and C19 Mortality in Beig; PM2.5 and C19 Incidence, Prevalence, Mortality in Meo ¶ [61]; PM2.5 and C19 spread in Rovetta; PM2.5 and C19 Morbidity, Prevalence in Frontera; PM10 and C19 Incidence in Maatoug; PM10 and Mortality in Ghanim; PM10 and C19 Standardized (age) mortality ratio in Dettori. ‡ For studies where more than one city was analyzed, the highest correlation coefficient was plotted. Data grouped by region. (B) Relative risk of a mortality from C19 due to PM exposure and b Incidence of C19 due to PM exposure. Studies are grouped based on regions. (C) Odds ratios of α Hospitalization from C19 due to PM exposure and β Incidence of C19 due to PM exposure. Additional Information provided for relevant articles within each panel description.](https://media.proquest.com/media/hms/THUM/2/DlIcV?_a=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%3D%3D&_s=%2F%2FT0ppIANFpZiQFBkAc5juL7jxs%3D "View Image - Figure 3. Overview of Data Synthesis. (A) Correlation coefficients were estimate for: PM2.5 and 10 and C19 Incidence and mortality for * Low green space countries and † High green space countries: Meo [62]; PM2.5 and 10 and C19 Incidence in Akan, Li, Sahoo and Fattorini, Sangkham; PM2.5 and 10 and C19 Prevalence in Zoran, Dragone; PM2.5 and C19 Incidence in Meo § [68], Meo ‖ [59], Meo Δ [60]; Bolano Ortiz; PM2.5 and C19 Prevalence in Semczuk; PM2.5 and C19 Mortality in Beig; PM2.5 and C19 Incidence, Prevalence, Mortality in Meo ¶ [61]; PM2.5 and C19 spread in Rovetta; PM2.5 and C19 Morbidity, Prevalence in Frontera; PM10 and C19 Incidence in Maatoug; PM10 and Mortality in Ghanim; PM10 and C19 Standardized (age) mortality ratio in Dettori. ‡ For studies where more than one city was analyzed, the highest correlation coefficient was plotted. Data grouped by region. (B) Relative risk of a mortality from C19 due to PM exposure and b Incidence of C19 due to PM exposure. Studies are grouped based on regions. (C) Odds ratios of α Hospitalization from C19 due to PM exposure and β Incidence of C19 due to PM exposure. Additional Information provided for relevant articles within each panel description.")
Enlarge this image.Figure 3. Overview of Data Synthesis. (A) Correlation coefficients were estimate for: PM2.5 and 10 and C19 Incidence and mortality for * Low green space countries and † High green space countries: Meo [62]; PM2.5 and 10 and C19 Incidence in Akan, Li, Sahoo and Fattorini, Sangkham; PM2.5 and 10 and C19 Prevalence in Zoran, Dragone; PM2.5 and C19 Incidence in Meo § [68], Meo ‖ [59], Meo Δ [60]; Bolano Ortiz; PM2.5 and C19 Prevalence in Semczuk; PM2.5 and C19 Mortality in Beig; PM2.5 and C19 Incidence, Prevalence, Mortality in Meo ¶ [61]; PM2.5 and C19 spread in Rovetta; PM2.5 and C19 Morbidity, Prevalence in Frontera; PM10 and C19 Incidence in Maatoug; PM10 and Mortality in Ghanim; PM10 and C19 Standardized (age) mortality ratio in Dettori. ‡ For studies where more than one city was analyzed, the highest correlation coefficient was plotted. Data grouped by region. (B) Relative risk of a mortality from C19 due to PM exposure and b Incidence of C19 due to PM exposure. Studies are grouped based on regions. (C) Odds ratios of α Hospitalization from C19 due to PM exposure and β Incidence of C19 due to PM exposure. Additional Information provided for relevant articles within each panel description.
Reference
1. Podury, S.; Kwon, S.; Javed, U.; Farooqi, M.S.; Li, Y.; Liu, M.; Grunig, G.; Nolan, A. Severe Acute Respiratory Syndrome and Particulate Matter Exposure: A Systematic Review. Life; 2023; 13, 538. [DOI: https://dx.doi.org/10.3390/life13020538] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36836898]
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Details
; Li, Yiwei 2
; Liu, Mengling 3
; Grunig, Gabriele 4 ; Nolan, Anna 5
1 Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
2 Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA
3 Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA
4 Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA
5 Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;