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Table 2 The RRs of air pollution on the risk of scarlet fever from the DLNM model

From: The association between ambient air pollution and scarlet fever in Qingdao, China, 2014–2018: a quantitative analysis

Lags

Mild

Moderate

Severe

Most severe

Lag0

1.034 (0.912–1.174)

1.071 (0.831–1.379)

1.108 (0.758–1.619)

1.147 (0.691–1.902)

Lag1

1.077 (0.994–1.168)

1.161 (0.987–1.363)

1.251 (0.983–1.592)

1.348 (0.977–1.859)

Lag2

1.066 (0.980–1.159)

1.137 (0.961–1.344)

1.212 (0.943–1.558)

1.292 (0.924–1.806)

Lag3

1.029 (0.957–1.106)

1.058 (0.916–1.224)

1.089 (0.877–1.353)

1.121 (0.839–1.497)

Lag4

0.994 (0.925–1.068)

0.988 (0.856–1.141)

0.982 (0.792–1.219)

0.977 (0.732–1.303)

Lag5

0.987 (0.908–1.073)

0.974 (0.825–1.151)

0.962 (0.749–1.235)

0.949 (0.680–1.325)

Lag6

1.034 (0.954–1.120)

1.069 (0.910–1.254)

1.105 (0.869–1.405)

1.142 (0.829–1.573)

Lag7

1.172 (1.038–1.323)*

1.374 (1.078–1.749)*

1.610 (1.163–2.314)*

1.887 (1.163–3.061)*

  1. Mild mild air pollution, Moderate moderate air pollution, Severe severe air pollution, Most severe most severe air pollution
  2. *P < 0.05