{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li N"],"funding":["National Nature Science Foundation of China; Innovative Research Team of Yunnan Province, China."],"pagination":["116"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9967418"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8(2)"],"pubmed_abstract":["In recent decades, the global incidence of dengue has risen sharply, with more than 75% of infected people showing mild or no symptoms. Since the year 2000, dengue in China has spread quickly. At this stage, there is an urgent need to fully understand its transmission intensity and spread in China. Serological data provide reliable evidence for symptomatic and recessive infections. Through a literature search, we included 23 studies that collected age-specific serological dengue data released from 1980 to 2021 in China. Fitting four catalytic models to these data, we distinguished the transmission mechanisms by deviation information criterion and estimated force of infection and basic reproduction number (<i>R</i><sub>0</sub>), important parameters for quantifying transmission intensity. W"],"journal":["Tropical medicine and infectious disease"],"pubmed_title":["Estimating Dengue Transmission Intensity in China Using Catalytic Models Based on Serological Data."],"pmcid":["PMC9967418"],"funding_grant_id":["No.81860607; No.2019(6)"],"pubmed_authors":["Li H","Li Z","Chen Z","Wei T","Zhang XS","Li N","Xiong H","Liu W"],"additional_accession":[]},"is_claimable":false,"name":"Estimating Dengue Transmission Intensity in China Using Catalytic Models Based on Serological Data.","description":"In recent decades, the global incidence of dengue has risen sharply, with more than 75% of infected people showing mild or no symptoms. Since the year 2000, dengue in China has spread quickly. At this stage, there is an urgent need to fully understand its transmission intensity and spread in China. Serological data provide reliable evidence for symptomatic and recessive infections. Through a literature search, we included 23 studies that collected age-specific serological dengue data released from 1980 to 2021 in China. Fitting four catalytic models to these data, we distinguished the transmission mechanisms by deviation information criterion and estimated force of infection and basic reproduction number (<i>R</i><sub>0</sub>), important parameters for quantifying transmission intensity. W","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-20T00:20:51.162Z","creation":"2025-02-18T23:57:43.131Z"},"accession":"S-EPMC9967418","cross_references":{"pubmed":["36828532"],"doi":["10.3390/tropicalmed8020116"]}}