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      Utility of surveillance data for planning for dengue elimination in Yogyakarta, Indonesia: a scenario-tree modelling approach

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          Abstract

          Introduction

          Field trials and 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 ( wMel 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 to 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.

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          Most cited references34

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          The global burden of dengue: an analysis from the Global Burden of Disease Study 2013.

          Dengue is the most common arbovirus infection globally, but its burden is poorly quantified. We estimated dengue mortality, incidence, and burden for the Global Burden of Disease Study 2013.
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            Dengue

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              Successful establishment of Wolbachia in Aedes populations to suppress dengue transmission.

              Genetic manipulations of insect populations for pest control have been advocated for some time, but there are few cases where manipulated individuals have been released in the field and no cases where they have successfully invaded target populations. Population transformation using the intracellular bacterium Wolbachia is particularly attractive because this maternally-inherited agent provides a powerful mechanism to invade natural populations through cytoplasmic incompatibility. When Wolbachia are introduced into mosquitoes, they interfere with pathogen transmission and influence key life history traits such as lifespan. Here we describe how the wMel Wolbachia infection, introduced into the dengue vector Aedes aegypti from Drosophila melanogaster, successfully invaded two natural A. aegypti populations in Australia, reaching near-fixation in a few months following releases of wMel-infected A. aegypti adults. Models with plausible parameter values indicate that Wolbachia-infected mosquitoes suffered relatively small fitness costs, leading to an unstable equilibrium frequency <30% that must be exceeded for invasion. These findings demonstrate that Wolbachia-based strategies can be deployed as a practical approach to dengue suppression with potential for area-wide implementation.
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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2023
                20 November 2023
                : 8
                : 11
                : e013313
                Affiliations
                [1 ] departmentNossal Institute for Global Health , Ringgold_549317The University of Melbourne , Carlton, Victoria, Australia
                [2 ] Ausvet , Fremantle, Western Australia, Australia
                [3 ] departmentWorld Mosquito Program Yogyakarta, Centre for Tropical Medicine , Ringgold_95455Universitas Gadjah Mada Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan , Yogyakarta, Indonesia
                [4 ] departmentDepartment of Biostatistics, Epidemiology and Population Health , Ringgold_95455Universitas Gadjah Mada Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan , Yogyakarta, Indonesia
                [5 ] departmentDepartment of Health Policy and Management , Ringgold_95455Universitas Gadjah Mada Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan , Yogyakarta, Indonesia
                [6 ] departmentWorld Mosquito Program , Ringgold_2541Monash University , Clayton, Victoria, Australia
                Author notes
                [Correspondence to ] Dr Melanie Bannister-Tyrrell; m.bannistertyrrell@ 123456unimelb.edu.au
                Author information
                http://orcid.org/0000-0002-0161-2952
                Article
                bmjgh-2023-013313
                10.1136/bmjgh-2023-013313
                10660636
                37989350
                da2148d6-ec6c-4edd-8b28-a616414c17d3
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 04 July 2023
                : 01 November 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010269, Wellcome Trust;
                Award ID: 224459/Z/21/Z
                Funded by: World Mosquito Program;
                Funded by: Tahija Foundation;
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                dengue,mathematical modelling
                dengue, mathematical modelling

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