{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yin Q"],"funding":["The Guangdong Province Training Programme of Innovation and Entrepreneurship for Undergraduates","The Guangzhou Synergy Innovation Key Programme for Health","The National Key R&amp;D Programme of China","The Science and Technology Planning Project of Guangdong Province of China","The National Key R&D Programme of China","The Guangzhou International Science and Technology Cooperation Programme","National Training Programme of Innovation and Entrepreneurship for Undergraduates"],"pagination":["474"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6791010"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_abstract":["<h4>Background</h4>The global spread of mosquito-borne diseases (MBD) has presented increasing challenges to public health. The transmission of MBD is mainly attributable to the biting behaviors of female mosquitoes. However, the ecological pattern of hourly host-seeking behavior in Aedes albopictus and its association with climatic variables are still not well understood, especially for a precise requirement for establishing an effective risk prediction system of MBD transmission.<h4>Methods</h4>Mosquito samples and data on mosquito hourly density and site-specific climatic variables, including temperature, relative humidity, illuminance and wind speed, were collected simultaneously in urban outdoor environments in Guangzhou during 2016-2018. Kernel regression models were used to assess t"],"journal":["Parasites & vectors"],"pubmed_title":["A field-based modeling study on ecological characterization of hourly host-seeking behavior and its associated climatic variables in Aedes albopictus."],"pmcid":["PMC6791010"],"funding_grant_id":["201612121026","2012J5100026","201712121114","2016A020251001","201508020263","2016YFC1200500","201803040006"],"pubmed_authors":["Xie T","Pan Y","Hu T","Xie Y","Guo X","Zhou S","Wang C","Xia S","Li L","Zhou X","Li W","Liu Y","Shi B","Wang Q","Kambalame DM","Yin Q","Wu S","Zhou XN","Wu R","Chen XG","Wang Y","Xia D","Song Z","Deng Y"],"additional_accession":[]},"is_claimable":false,"name":"A field-based modeling study on ecological characterization of hourly host-seeking behavior and its associated climatic variables in Aedes albopictus.","description":"<h4>Background</h4>The global spread of mosquito-borne diseases (MBD) has presented increasing challenges to public health. The transmission of MBD is mainly attributable to the biting behaviors of female mosquitoes. However, the ecological pattern of hourly host-seeking behavior in Aedes albopictus and its association with climatic variables are still not well understood, especially for a precise requirement for establishing an effective risk prediction system of MBD transmission.<h4>Methods</h4>Mosquito samples and data on mosquito hourly density and site-specific climatic variables, including temperature, relative humidity, illuminance and wind speed, were collected simultaneously in urban outdoor environments in Guangzhou during 2016-2018. Kernel regression models were used to assess t","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Oct","modification":"2026-06-03T15:42:15.602Z","creation":"2019-11-05T08:05:32Z"},"accession":"S-EPMC6791010","cross_references":{"pubmed":["31610804"],"doi":["10.1186/s13071-019-3715-1"]}}