FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2985348532> ?p ?o ?g. }

• W2985348532 endingPage "100090" @default.
• W2985348532 startingPage "100090" @default.
• W2985348532 abstract "Toxoplasma gondii, a protozoan zoonotic parasite, has a worldwide distribution. It can cause severe pathological damage to the fetus in primary infected pregnant women and life-threatening encephalitis in immunocompromised patients. One of the main transmission routes to humans is consumption of raw or undercooked meat containing viable T. gondii tissue cysts. In China, the lack of quantitative information on the risk and incidence of infection due to consumption of meat hampers the development of prevention strategies to reduce the burden of toxoplasmosis. The aim of this study was to set up a quantitative microbial risk assessment (QMRA) model to estimate the relative attribution of different types of meat (i.e., pork, beef, lamb and mutton, chicken and duck) to human T. gondii infections in China. The model was built based on the structure of the first meat-borne T. gondii infection QMRA model developed in the Netherlands and applied for seven regions of mainland China. Data on the prevalence of T. gondii in livestock and consumption were obtained from China, however information on preparation habits was lacking. Consumption data were available as average consumption amounts per day collected over three days. The results calculated from the QMRA model were at least thousand-fold higher compared to the incidence rate obtained from an epidemiological susceptible-infected (SI) type model. In general, pork and chicken meat contributed more to the estimated number of infections than beef, small ruminant and duck meat. Cooking temperature was identified as one of the parameters that most strongly affected the estimated incidence rate in the QMRA model. Sensitivity analysis showed that the estimated incidence rate from the QMRA model would be comparable to the results obtained from the SI model if final cooking temperatures are around 1.7 times higher than the temperatures based on a dataset for American consumers. Scenario analysis demonstrated that it is important to know portion size and frequency of consumption in addition to total consumed amounts to calculate incidence of infection. Due to uncertainties present in the input data and the at least thousand-fold overestimated incidence rates, the results merely give an indication of the relative importance of different types of meat. However, the QMRA model clearly identified the key knowledge gaps for future research and can subsequently support cost-effective decisions to reduce the disease burden of human toxoplasmosis." @default.
• W2985348532 created "2019-11-22" @default.
• W2985348532 creator A5002975130 @default.
• W2985348532 creator A5014724454 @default.
• W2985348532 creator A5017890959 @default.
• W2985348532 creator A5031866509 @default.
• W2985348532 creator A5034335108 @default.
• W2985348532 creator A5046380471 @default.
• W2985348532 creator A5053599960 @default.
• W2985348532 creator A5063035244 @default.
• W2985348532 date "2020-04-01" @default.
• W2985348532 modified "2023-10-16" @default.
• W2985348532 title "Quantitative risk assessment of meat-borne Toxoplasma gondii infection in the mainland of China" @default.
• W2985348532 cites W103745446 @default.
• W2985348532 cites W1580003617 @default.
• W2985348532 cites W1933534268 @default.
• W2985348532 cites W2005792051 @default.
• W2985348532 cites W2019397628 @default.
• W2985348532 cites W2026647223 @default.
• W2985348532 cites W2029338807 @default.
• W2985348532 cites W2052690976 @default.
• W2985348532 cites W2059217644 @default.
• W2985348532 cites W2059765431 @default.
• W2985348532 cites W2080736964 @default.
• W2985348532 cites W2084594144 @default.
• W2985348532 cites W2094082113 @default.
• W2985348532 cites W2096051519 @default.
• W2985348532 cites W2097468378 @default.
• W2985348532 cites W2099006710 @default.
• W2985348532 cites W2103483503 @default.
• W2985348532 cites W2118261210 @default.
• W2985348532 cites W2136393059 @default.
• W2985348532 cites W2142713800 @default.
• W2985348532 cites W2145537055 @default.
• W2985348532 cites W2152759714 @default.
• W2985348532 cites W2179543431 @default.
• W2985348532 cites W2188611891 @default.
• W2985348532 cites W2219174037 @default.
• W2985348532 cites W2340326146 @default.
• W2985348532 cites W2466630826 @default.
• W2985348532 cites W2495938502 @default.
• W2985348532 cites W2537194420 @default.
• W2985348532 cites W2558542662 @default.
• W2985348532 cites W2561956674 @default.
• W2985348532 cites W2593806344 @default.
• W2985348532 cites W2754907550 @default.
• W2985348532 cites W2765825004 @default.
• W2985348532 cites W2781807429 @default.
• W2985348532 cites W2799962261 @default.
• W2985348532 cites W4211140781 @default.
• W2985348532 cites W934047774 @default.
• W2985348532 doi "https://doi.org/10.1016/j.mran.2019.100090" @default.
• W2985348532 hasPublicationYear "2020" @default.
• W2985348532 type Work @default.
• W2985348532 sameAs 2985348532 @default.
• W2985348532 citedByCount "2" @default.
• W2985348532 countsByYear W29853485322021 @default.
• W2985348532 countsByYear W29853485322023 @default.
• W2985348532 crossrefType "journal-article" @default.
• W2985348532 hasAuthorship W2985348532A5002975130 @default.
• W2985348532 hasAuthorship W2985348532A5014724454 @default.
• W2985348532 hasAuthorship W2985348532A5017890959 @default.
• W2985348532 hasAuthorship W2985348532A5031866509 @default.
• W2985348532 hasAuthorship W2985348532A5034335108 @default.
• W2985348532 hasAuthorship W2985348532A5046380471 @default.
• W2985348532 hasAuthorship W2985348532A5053599960 @default.
• W2985348532 hasAuthorship W2985348532A5063035244 @default.
• W2985348532 hasBestOaLocation W29853485321 @default.
• W2985348532 hasConcept C107029721 @default.
• W2985348532 hasConcept C112964050 @default.
• W2985348532 hasConcept C119599485 @default.
• W2985348532 hasConcept C120665830 @default.
• W2985348532 hasConcept C121332964 @default.
• W2985348532 hasConcept C127413603 @default.
• W2985348532 hasConcept C159047783 @default.
• W2985348532 hasConcept C159654299 @default.
• W2985348532 hasConcept C166957645 @default.
• W2985348532 hasConcept C18903297 @default.
• W2985348532 hasConcept C191935318 @default.
• W2985348532 hasConcept C203014093 @default.
• W2985348532 hasConcept C205649164 @default.
• W2985348532 hasConcept C2776353676 @default.
• W2985348532 hasConcept C2778062946 @default.
• W2985348532 hasConcept C2778128430 @default.
• W2985348532 hasConcept C2781350384 @default.
• W2985348532 hasConcept C42972112 @default.
• W2985348532 hasConcept C523546767 @default.
• W2985348532 hasConcept C54355233 @default.
• W2985348532 hasConcept C61511704 @default.
• W2985348532 hasConcept C71924100 @default.
• W2985348532 hasConcept C761482 @default.
• W2985348532 hasConcept C86803240 @default.
• W2985348532 hasConcept C99454951 @default.
• W2985348532 hasConceptScore W2985348532C107029721 @default.
• W2985348532 hasConceptScore W2985348532C112964050 @default.
• W2985348532 hasConceptScore W2985348532C119599485 @default.
• W2985348532 hasConceptScore W2985348532C120665830 @default.
• W2985348532 hasConceptScore W2985348532C121332964 @default.

• next