{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li C"],"funding":["State Key Laboratory of Infectious Disease Prevention and Control","National Natural Science Foundation of China"],"pagination":["358"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9535872"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Background
Limited evidence is available about the association between tropical cyclones and dengue incidence. This study aimed to examine the effects of tropical cyclones on the incidence of dengue and to explore the vulnerable populations in Guangzhou, China.Methods
Weekly dengue case data, tropical cyclone and meteorological data during the tropical cyclones season (June to October) from 2015 to 2019 were collected for the study. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model was conducted to quantify the association between tropical cyclones and dengue, controlling for meteorological factors, seasonality, and long-term trend. Proportion of dengue cases attributable to tropical cyclone exposure was calculated. The effect differe"],"journal":["Parasites & vectors"],"pubmed_title":["Short-term effects of tropical cyclones on the incidence of dengue: a time-series study in Guangzhou, China."],"pmcid":["PMC9535872"],"funding_grant_id":["82073615","2018SKLID302"],"pubmed_authors":["Li C","Zhao Q","Liu Q","Yan Y","Zhao Z","Ma W"],"additional_accession":[]},"is_claimable":false,"name":"Short-term effects of tropical cyclones on the incidence of dengue: a time-series study in Guangzhou, China.","description":"Background
Limited evidence is available about the association between tropical cyclones and dengue incidence. This study aimed to examine the effects of tropical cyclones on the incidence of dengue and to explore the vulnerable populations in Guangzhou, China.Methods
Weekly dengue case data, tropical cyclone and meteorological data during the tropical cyclones season (June to October) from 2015 to 2019 were collected for the study. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model was conducted to quantify the association between tropical cyclones and dengue, controlling for meteorological factors, seasonality, and long-term trend. Proportion of dengue cases attributable to tropical cyclone exposure was calculated. The effect differe","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-04T22:36:07.439Z","creation":"2025-02-19T00:27:22.008Z"},"accession":"S-EPMC9535872","cross_references":{"pubmed":["36203178"],"doi":["10.1186/s13071-022-05486-2"]}}