Turning Points and Climatic Impacts on the Multi-wave H7N9 Outbreaks in Guangdong Province, China

Piaopiao Zhou, Wenwen Li, Xingfeng Huang, Yuting Wang, Tian Tang, Tian Tang

2022

Abstract

The constant emergence of avian influenza A (H7N9) epidemics posed a huge threat to public health in China recently. Based on the data of the human reported cases and climate from October 2013 to May 2017, we employed Richard model, generalized linear model (GLM) and generalized additive model (GAM) to infer the H7N9 transmission potentials in Guangdong Province, which is one of the important H7N9 epicenter. The results indicated that the turning points occurred around mid-January, one week after closing live poultry markets. It was further found that temperature and relative humidity are negatively proportional to the number of H7N9 cases with the lags of 1-3 and 1-5 weeks, respectively. The number of H7N9 cases has a non-linear relationship with rainfall and air pressure. These discoveries can provide practical information for risk assessment and intervention implementation against H7N9 transmissi.

Paper Citation

in Harvard Style

Zhou P., Li W., Huang X., Wang Y. and Tang T. (2022). Turning Points and Climatic Impacts on the Multi-wave H7N9 Outbreaks in Guangdong Province, China. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 11-16. DOI: 10.5220/0011197000003438

in Bibtex Style

@conference{ichih22,
author={Piaopiao Zhou and Wenwen Li and Xingfeng Huang and Yuting Wang and Tian Tang},
title={Turning Points and Climatic Impacts on the Multi-wave H7N9 Outbreaks in Guangdong Province, China},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={11-16},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011197000003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Turning Points and Climatic Impacts on the Multi-wave H7N9 Outbreaks in Guangdong Province, China
SN - 978-989-758-596-8
AU - Zhou P.
AU - Li W.
AU - Huang X.
AU - Wang Y.
AU - Tang T.
PY - 2022
SP - 11
EP - 16
DO - 10.5220/0011197000003438