FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327861567> ?p ?o ?g. }

• W4327861567 abstract "Abstract Introduction Field trials and mathematical modelling studies suggest that elimination of dengue transmission may be possible through widespread release of Aedes aegypti mosquitoes infected with the insect bacterium Wolbachia pipientis ( w Mel strain), in conjunction with routine dengue control activities. This study aimed to develop a modelling framework to guide planning for the potential elimination of locally-acquired dengue in Yogyakarta, a city of almost 400,000 people in Java, Indonesia. Methods A scenario tree modelling approach was used to estimate the sensitivity of the dengue surveillance system (including routine hospital-based reporting and primary-care based enhanced surveillance), and time required to demonstrate elimination of locally-acquired dengue in Yogyakarta city, assuming the detected incidence of dengue decreases to zero in the future. Age and gender were included as risk factors for dengue, and detection nodes included the probability of seeking care, probability of sample collection and testing, diagnostic test sensitivity, and probability of case notification. Parameter distributions were derived from health system data or estimated by expert opinion. Alternative simulations were defined based on changes to key parameter values, separately and in combination. Results For the default simulation, median surveillance system sensitivity was 0.131 (95% PI 0.111 – 0.152) per month. Median confidence in dengue elimination reached 80% after a minimum of 13 months of zero detected dengue cases and 90% confidence after 25 months, across different scenarios. The alternative simulations investigated produced relatively small changes in median system sensitivity and time to elimination. Conclusion This study suggests that with a combination of hospital-based surveillance and enhanced clinic-based surveillance for dengue, an acceptable level of confidence (80% probability) in the elimination of locally acquired dengue can be reached within 2 years. Increasing the surveillance system sensitivity could shorten the time to first ascertainment of elimination of dengue and increase the level of confidence in elimination. Key messages What is already known on this topic - summarise the state of scientific knowledge on this subject before you did your study and why this study needed to be done The incidence of dengue, a mosquito-borne viral disease, has increased worldwide in recent decades. However, a novel vector control intervention based on the release of Aedes aegypti vectors infected with the w Mel strain of Wolbachia pipientis bacteria, which inhibits arboviral infection and transmission in mosquitoes, has been shown to substantially decrease the incidence of dengue. A randomised controlled trial in Yogyakarta city, Indonesia, demonstrated a 77% reduction in dengue incidence in areas treated with the Wolbachia intervention. Field-based and modelling studies have predicted that the Wolbachia intervention could reduce dengue transmission to the point of elimination of locally-acquired dengue. The feasibility of elimination of dengue as a public health problem through city-wide deployment of Wolbachi a intervention, complemented by other vector control measures and enhanced clinical surveillance, is being tested in Yogyakarta city, Indonesia, as part of an additional study. For any planned infectious disease elimination program, demonstrating that elimination has been achieved requires effective surveillance for dengue and robust statistical methods. The aim of this study was to develop a scenario tree modelling framework to guide planning for the potential elimination of locally acquired dengue in Yogyakarta city, Indonesia. What this study adds - summarise what we now know as a result of this study that we did not know before This study constructed a scenario tree model to represent the dengue surveillance system in Yogyakarta city, including hospital-based and clinic-based surveillance. The model was parameterised with risk factors for dengue, as well as the steps in the surveillance pathway, from healthcare seeking to notification of a positive case. This study suggests that with a combination of hospital-based surveillance and enhanced clinic-based surveillance for clinical dengue cases, an acceptable level of confidence (80% probability) in the elimination of locally acquired dengue in Yogyakarta city can be reached within 2 years of the last detected case. This suggests that routine clinic-based and hospital-based passive surveillance for dengue is sufficiently sensitive to plan for and confirm elimination of local dengue transmission in Yogyakarta city. How this study might affect research, practice or policy - summarise the implications of this study The findings suggest that pragmatic demonstration of the elimination of locally-acquired dengue can be reached in a shorter timeframe than the alternative approach of convening an independent expert review panel, as commonly used for other infectious disease elimination programs. The scenario tree modelling framework offers a replicable, robust method for planning and assessing progress towards elimination of dengue as a public health problem following full implementation of the Wolbachia intervention and enhanced clinic-based dengue surveillance in Yogyakarta city, Indonesia. The framework can be readily expanded and adapted to different geographic settings where the Wolbachia intervention is also being implemented to control and eliminate dengue." @default.
• W4327861567 created "2023-03-20" @default.
• W4327861567 creator A5003190565 @default.
• W4327861567 creator A5014800252 @default.
• W4327861567 creator A5023261786 @default.
• W4327861567 creator A5024200286 @default.
• W4327861567 creator A5027326121 @default.
• W4327861567 creator A5033846550 @default.
• W4327861567 creator A5039475324 @default.
• W4327861567 creator A5057943710 @default.
• W4327861567 date "2023-03-18" @default.
• W4327861567 modified "2023-10-03" @default.
• W4327861567 title "Utility of surveillance data for planning for dengue elimination in Yogyakarta, Indonesia: a scenario tree modelling approach" @default.
• W4327861567 cites W123826463 @default.
• W4327861567 cites W1925214646 @default.
• W4327861567 cites W1972541583 @default.
• W4327861567 cites W2011148871 @default.
• W4327861567 cites W2055402413 @default.
• W4327861567 cites W2069937826 @default.
• W4327861567 cites W2092133388 @default.
• W4327861567 cites W2105911017 @default.
• W4327861567 cites W2106214477 @default.
• W4327861567 cites W2152146452 @default.
• W4327861567 cites W2214133151 @default.
• W4327861567 cites W2222155463 @default.
• W4327861567 cites W2260392875 @default.
• W4327861567 cites W2400365111 @default.
• W4327861567 cites W2575384332 @default.
• W4327861567 cites W2617742067 @default.
• W4327861567 cites W2788593837 @default.
• W4327861567 cites W2892269553 @default.
• W4327861567 cites W2950420258 @default.
• W4327861567 cites W2971998302 @default.
• W4327861567 cites W2976988014 @default.
• W4327861567 cites W3023256106 @default.
• W4327861567 cites W3024991067 @default.
• W4327861567 cites W3135270875 @default.
• W4327861567 cites W3172070999 @default.
• W4327861567 cites W3209236531 @default.
• W4327861567 cites W4214892014 @default.
• W4327861567 cites W4221109151 @default.
• W4327861567 cites W4285589596 @default.
• W4327861567 doi "https://doi.org/10.1101/2023.03.14.23287232" @default.
• W4327861567 hasPublicationYear "2023" @default.
• W4327861567 type Work @default.
• W4327861567 citedByCount "0" @default.
• W4327861567 crossrefType "posted-content" @default.
• W4327861567 hasAuthorship W4327861567A5003190565 @default.
• W4327861567 hasAuthorship W4327861567A5014800252 @default.
• W4327861567 hasAuthorship W4327861567A5023261786 @default.
• W4327861567 hasAuthorship W4327861567A5024200286 @default.
• W4327861567 hasAuthorship W4327861567A5027326121 @default.
• W4327861567 hasAuthorship W4327861567A5033846550 @default.
• W4327861567 hasAuthorship W4327861567A5039475324 @default.
• W4327861567 hasAuthorship W4327861567A5057943710 @default.
• W4327861567 hasBestOaLocation W43278615671 @default.
• W4327861567 hasConcept C105795698 @default.
• W4327861567 hasConcept C127413603 @default.
• W4327861567 hasConcept C159047783 @default.
• W4327861567 hasConcept C173758957 @default.
• W4327861567 hasConcept C21200559 @default.
• W4327861567 hasConcept C24326235 @default.
• W4327861567 hasConcept C2524010 @default.
• W4327861567 hasConcept C2777775583 @default.
• W4327861567 hasConcept C33923547 @default.
• W4327861567 hasConcept C41008148 @default.
• W4327861567 hasConcept C44249647 @default.
• W4327861567 hasConcept C533803919 @default.
• W4327861567 hasConcept C59822182 @default.
• W4327861567 hasConcept C61511704 @default.
• W4327861567 hasConcept C71924100 @default.
• W4327861567 hasConcept C86803240 @default.
• W4327861567 hasConcept C99454951 @default.
• W4327861567 hasConceptScore W4327861567C105795698 @default.
• W4327861567 hasConceptScore W4327861567C127413603 @default.
• W4327861567 hasConceptScore W4327861567C159047783 @default.
• W4327861567 hasConceptScore W4327861567C173758957 @default.
• W4327861567 hasConceptScore W4327861567C21200559 @default.
• W4327861567 hasConceptScore W4327861567C24326235 @default.
• W4327861567 hasConceptScore W4327861567C2524010 @default.
• W4327861567 hasConceptScore W4327861567C2777775583 @default.
• W4327861567 hasConceptScore W4327861567C33923547 @default.
• W4327861567 hasConceptScore W4327861567C41008148 @default.
• W4327861567 hasConceptScore W4327861567C44249647 @default.
• W4327861567 hasConceptScore W4327861567C533803919 @default.
• W4327861567 hasConceptScore W4327861567C59822182 @default.
• W4327861567 hasConceptScore W4327861567C61511704 @default.
• W4327861567 hasConceptScore W4327861567C71924100 @default.
• W4327861567 hasConceptScore W4327861567C86803240 @default.
• W4327861567 hasConceptScore W4327861567C99454951 @default.
• W4327861567 hasLocation W43278615671 @default.
• W4327861567 hasOpenAccess W4327861567 @default.
• W4327861567 hasPrimaryLocation W43278615671 @default.
• W4327861567 hasRelatedWork W2016118362 @default.
• W4327861567 hasRelatedWork W2046192935 @default.
• W4327861567 hasRelatedWork W2412893742 @default.
• W4327861567 hasRelatedWork W2588081518 @default.
• W4327861567 hasRelatedWork W2748952813 @default.
• W4327861567 hasRelatedWork W2807497380 @default.
• W4327861567 hasRelatedWork W2899084033 @default.

• next