The effects of weather conditions on measles incidence in Guangzhou, Southern China

Meteorological factors and the incidence of mumps in Fujian Province, China, 2005–2013: Non-linear effects

“…We used a non-linear function to simulate the effect of temperature, whereas the studies in Taiwan and Jining used linear function and linear function with thresholds separately. The effect of temperature on infectious diseases transmitted by respiratory or alimentary tract has been discovered to be non-linear Yang et al, 2014b), so the result of this research may be much closer to the true effect of temperature.…”

Are hospital emergency department visits due to dog bites associated with ambient temperature? A time-series study in Beijing, China

“…where Y t is the number of EDVDBs on day t; α is the intercept; cb is the "cross-basis" function for generating bi-dimensional exposure-lagresponse relationship with 3 degrees of freedom (df) for the exposure and lag spaces, respectively (Yang et al, 2014a;Yang et al, 2014b); Temp t is the mean temperature on day t; "lag = 14" refers a maximum lag of 14 days being used to present the lagged effect of temperature; ns(Time, df = 7 * 3) is the natural cubic spline of time with 7 df per year for controlling the seasonality and long-term trend as suggested by previous studies (Goldberg et al, 2011;Guo et al, 2014;Muggeo and Hajat, 2009); DOW t, is a categorical variable for adjusting day of the week on day t; Holiday t is a binary variable for adjusting public holidays in China; τ t is an autoregressive term for explaining the autocorrelations of the residuals by using the log scale of daily EDVDBs at lag days; autocorrelation function is used to determine which lag days will be added into τ t ; β, γ and ε are the coefficients. In this study, the relative risk (RR) of EDVDBs associated with temperature was calculated by setting the reference value at the minimum-EDVDB temperature.…”

The effects of meteorological factors on influenza among children in Guangzhou, China

“…Since the daily number of influenza cases follows a Poisson distribution, and the meteorological factors such as temperature have lag effects, we used a distributed lag nonlinear model (DLNM) to assess the association between meteorological factors and the daily number of influenza cases. 12,18 DLNM is a flexible model that simultaneously estimates the nonlinear and delayed exposure-response relationship, especially the effects of meteorological factors on health. 18 We calculated Pearson's correlation coefficients matrix within the meteorological factors for a preliminary analysis.…”

“…Guangzhou, the capital of Guangdong Province in southern China, is located at 22°26′N to 23°56′N and 112°57′E to 114°3′E . Covering an area of 7434 square kilometers and 11 districts, Guangzhou has a population of 14.0 million in 2017, including 1.71 million (12.21%) aged 0‐14 years, 12.33 million (87.79%) aged over 15 years.…”

“…Guangzhou, the capital of Guangdong Province in southern China, is located at 22°26′N to 23°56′N and 112°57′E to 114°3′E. 11,12 F I G U R E 1 Geographical location of the study area in China…”