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    <datestamp>2026-06-22T11:25:47Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-06-22</dc:date>
  <dc:title>Supplementary figures</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.xbyxb.00175</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Supplementary Figure S1. Associations between short-term CO exposure and hospitalization outcomes among kidney transplant recipients with respiratory tract infections.(A, D) Lag&amp;ndash;response relationships at selected CO concentrations (0.4, 0.8, 1.6, 2.0, 2.4 mg/m&amp;sup3;).(A) shows changes in hospitalization cost (CNY) by lag day, and (D) presents the relative risk (RR) of hospital stay duration across lag days.(B, E) Cumulative effects over lag days 0&amp;ndash;7.(B) illustrates cumulative changes in hospitalization cost at varying CO concentrations, and (E) shows the corresponding cumulative RR of hospital stay.(C, F) Contour plots demonstrating the joint effects of CO concentration and lag structure.(C) visualizes changes in hospitalization cost across lag days and concentrations, and (F) displays the relative risk surface for hospital stay.&amp;nbsp;Supplementary Figure S2. Associations between short-term NO₂ exposure and hospitalization outcomes among kidney transplant recipients with respiratory tract infections.(A, D) Lag&amp;ndash;response relationships at selected NO₂ concentrations (20, 30, 40, 50, 60, 70, 80 &amp;micro;g/m&amp;sup3;).(A) shows changes in hospitalization cost (CNY) by lag day, and (D) presents the relative risk (RR) of hospital stay duration across lag days.(B, E) Cumulative effects over lag days 0&amp;ndash;7.(B) illustrates cumulative changes in hospitalization cost at varying NO₂ concentrations, and (E) shows the corresponding cumulative RR of hospital stay.(C, F) Contour plots demonstrating the joint effects of NO₂ concentration and lag structure.(C) visualizes changes in hospitalization cost across lag days and concentrations, and (F) displays the relative risk surface for hospital stay.&amp;nbsp;Supplementary Figure S3.Associations between short-term O₃ exposure and hospitalization outcomes among kidney transplant recipients with respiratory tract infections.(A, D) Lag&amp;ndash;response relationships at selected O₃ concentrations (50, 100, 150, 200, 250 &amp;micro;g/m&amp;sup3;).(A) shows changes in hospitalization cost (CNY) by lag day, and (D) presents the relative risk (RR) of hospital stay duration across lag days.(B, E) Cumulative effects over lag days 0&amp;ndash;7.(B) illustrates cumulative changes in hospitalization cost at varying O₃ concentrations, and (E) shows the corresponding cumulative RR of hospital stay.(C, F) Contour plots demonstrating the joint effects of O₃ concentration and lag structure.(C) visualizes changes in hospitalization cost across lag days and concentrations, and (F) displays the relative risk surface for hospital stay.&amp;nbsp;Supplementary Figure S4. Three-dimensional DLNM response surface plots showing the joint effects of pollutant concentration and lag time on hospitalization burden.(A) PM₂.₅, (B) PM₁₀, (C) SO₂, (D) CO, (E) NO₂, and (F) O₃.For each pollutant, the upper plot illustrates the lag&amp;ndash;concentration surface of hospitalization cost (CNY), while the lower plot shows the corresponding surface of relative risk (RR) for hospital stay duration.All models were adjusted for age, sex, BMI, ambient temperature, relative humidity, day of the week, and holidays.</dc:description>
  <dc:subject>Kidney transplant recipients; Ambient air pollution; PM2.5; Respiratory tract infections; Hospital burden</dc:subject>
  <dc:creator>Jie Jiang</dc:creator>
  <dc:creator>Ying Zhang</dc:creator>
  <dc:creator>Yingzi Ming</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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