The time series of daily meteorological factors and daily influenza cases in Lanzhou, 2014–2017 (Cases: Daily influenza cases, P (pha): Atmospheric pressure, pre (mm): Daily precipitation, RH (%): Relative humidity, Sun (h): Hours of sunshine, T-mean (°C): Mean temperature, Wsd (m/s): Wind velocity).

<p>The time series of daily meteorological factors and daily influenza cases in Lanzhou, 2014–2017 (Cases: Daily influenza cases, P (pha): Atmospheric pressure, pre (mm): Daily precipitation, RH (%): Relative humidity, Sun (h): Hours of sunshine, T-mean (°C): Mean temperature, Wsd (m/s): Wind...

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Bibliographic Details
Main Author:	Meixia Du (12112092) (author)
Other Authors:	Hai Zhu (1602541) (author), Xiaochun Yin (7014647) (author), Ting Ke (14265981) (author), Yonge Gu (14265984) (author), Sheng Li (107261) (author), Yongjun Li (309180) (author), Guisen Zheng (14265987) (author)
Published:	2022
Subjects:	Medicine Biotechnology Infectious Diseases Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified xlink "> humans study firstly aimed significant driving factor provide important evidence increasing daily pressure early warning system average relative humidity 1 )[ 12 influenza control policies epidemic characteristics showed better prediction performance average daily temperature 2014 &# 8211 0 )( 1 2017 </ p average temperature low temperature transmission intensity temporal differences seasonal influenza often associated meteorological factors influenza incidence influenza cases influenza activities decreasing precipitation behave seasonally
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