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      A Scopus-Based Bibliometric Analysis of Wolbachia-Aedes Innovation for Controlling Dengue Hemorrhagic Fever (DHF)

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          Abstract

          Wolbachia technology is an innovative strategy for controlling dengue hemorrhagic fever (DHF) and has been implemented in Indonesia. However, the community has pros and cons about its implementation. Some community’s rejection was caused by limited socialization, community knowledge, and perception. They still doubt the safety, effectiveness, and efficiency of Wolbachia-Aedes’s innovation. This study aims to map global and Indonesian research on Wolbachia-Aedes innovation. The study used a quantitative descriptive method with a bibliometric approach. Data were obtained from publications indexed in the Scopus database from 2014 to 2024 complemented by VOSviewer analysis. The results revealed 568 publications related to Wolbachia-Aedes innovation, with varying annual publication rates. In Indonesia, 32 publications have been produced since 2014, with the majority of research concentrated in Yogyakarta. Australian researchers are the leading contributors. International collaboration on Wolbachia-Aedes innovation is apparent, particularly among countries such as Burkina Faso, Greece, Benin, Cameroon, the United States, and Panama. Based on the co-words map, three clusters have related keywords. Further systematic reviews are needed to evaluate the effectiveness of and strategies for implementing the Wolbachia-Aedes innovation, as well as potential risks, impacts, and benefits of implementing this innovation.

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          Reduced dengue incidence following deployments of Wolbachia -infected Aedes aegypti in Yogyakarta, Indonesia: a quasi-experimental trial using controlled interrupted time series analysis

          Background: Ae. aegypti mosquitoes stably transfected with the intracellular bacterium Wolbachia pipientis ( wMel strain) have been deployed for biocontrol of dengue and related arboviral diseases in multiple countries. Field releases in northern Australia have previously demonstrated near elimination of local dengue transmission from Wolbachia-treated communities, and pilot studies in Indonesia have demonstrated the feasibility and acceptability of the method. We conducted a quasi-experimental trial to evaluate the impact of scaled Wolbachia releases on dengue incidence in an endemic setting in Indonesia. Methods: In Yogyakarta City, Indonesia, following extensive community engagement, wMel Wolbachia-carrying mosquitoes were released every two weeks for 13–15 rounds over seven months in 2016–17, in a contiguous 5 km 2 area (population 65,000). A 3 km 2 area (population 34,000) on the opposite side of the city was selected a priori as an untreated control area. Passive surveillance data on notified hospitalised dengue patients was used to evaluate the epidemiological impact of Wolbachia deployments, using controlled interrupted time-series analysis. Results: Rapid and sustained introgression of wMel Wolbachia into local Ae. aegypti populations was achieved. Thirty-four dengue cases were notified from the intervention area and 53 from the control area (incidence 26 vs 79 per 100,000 person-years) during 24 months following Wolbachia deployment. This corresponded in the regression model to a 73% reduction in dengue incidence (95% confidence interval 49%,86%) associated with the Wolbachia intervention. Exploratory analysis including 6 months additional post-intervention observations showed a small strengthening of this effect (30 vs 115 per 100,000 person-years; 76% reduction in incidence, 95%CI 60%,86%). Conclusions: We demonstrate a significant reduction in dengue incidence following successful introgression of Wolbachia into local Ae. aegypti populations in an endemic setting in Indonesia. These findings are consistent with previous field trials in northern Australia, and support the effectiveness of this novel approach for dengue control.
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            The wMel strain of Wolbachia Reduces Transmission of Zika virus by Aedes aegypti

            Zika virus (ZIKV) is causing an explosive outbreak of febrile disease in the Americas. There are no effective antiviral therapies or licensed vaccines for this virus, and mosquito control strategies have not been adequate to contain the virus. A promising candidate for arbovirus control and prevention relies on the introduction of the intracellular bacterium Wolbachia into Aedes aegypti mosquitoes. This primarily has been proposed as a tool to control dengue virus (DENV) transmission; however, evidence suggests Wolbachia infections confer protection for Ae. aegypti against other arboviruses. At present, it is unknown whether or not ZIKV can infect, disseminate, and be transmitted by Wolbachia-infected Ae. aegypti. Using Ae. aegypti infected with the wMel strain of Wolbachia that are being released in Medellin, Colombia, we report that these mosquitoes have reduced vector competence for ZIKV. These results support the use of Wolbachia biocontrol as a multivalent strategy against Ae. aegypti-transmitted viruses.
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              A Retrospective Study of Climate Change Affecting Dengue: Evidences, Challenges and Future Directions

              Climate change is unexpected weather patterns that can create an alarming situation. Due to climate change, various sectors are affected, and one of the sectors is healthcare. As a result of climate change, the geographic range of several vector-borne human infectious diseases will expand. Currently, dengue is taking its toll, and climate change is one of the key reasons contributing to the intensification of dengue disease transmission. The most important climatic factors linked to dengue transmission are temperature, rainfall, and relative humidity. The present study carries out a systematic literature review on the surveillance system to predict dengue outbreaks based on Machine Learning modeling techniques. The systematic literature review discusses the methodology and objectives, the number of studies carried out in different regions and periods, the association between climatic factors and the increase in positive dengue cases. This study also includes a detailed investigation of meteorological data, the dengue positive patient data, and the pre-processing techniques used for data cleaning. Furthermore, correlation techniques in several studies to determine the relationship between dengue incidence and meteorological parameters and machine learning models for predictive analysis are discussed. In the future direction for creating a dengue surveillance system, several research challenges and limitations of current work are discussed.
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                Author and article information

                Journal
                BIO Web of Conferences
                BIO Web Conf.
                EDP Sciences
                2117-4458
                2024
                November 06 2024
                2024
                : 133
                : 00029
                Article
                10.1051/bioconf/202413300029
                eed6a981-59b0-48cd-b80b-94610ebee8d7
                © 2024

                https://creativecommons.org/licenses/by/4.0/

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