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      Worldwide distribution, symptoms and diagnosis of the coinfections between malaria and arboviral diseases: a systematic review

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          Abstract

          The coinfection between malaria (ML) and arboviral diseases represents a major global public health problem, particularly in tropical and subtropical countries. Despite its relevance, this topic is still insufficiently discussed in the current literature. Here, we aimed to investigate the worldwide distribution, symptoms, and diagnosis during coinfection between ML and arboviral diseases. We conducted a systematic review following the Preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement and assessed the selection and eligibility criteria, created and diagrammed maps, and analysed major symptoms with 95% confidence intervals (CI) using prevalence ratio and effect size, also performing latent class analysis. A total of 85,485 studies were retrieved, of which 56 were included: 57.14% in Asia, 25% in Africa, 14.30% in South America, and 3.56% in Europe. A total of 746 individuals were reported to be coinfected with Plasmodium and arbovirus. Concurrent ML, Dengue (DEN), Chikungunya (CHIK), and Zika (ZIK) patients are more likely to present headache and skin rash. Regarding diagnosis, 58,253 were made, of which 38,176 were positive (ML and at least one arboviral disease). The magnitude of these pathogens’ coexistence points out the pressing need for improvements in public health policies towards diagnosis and prevention of both diseases, especially in endemic areas.

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

            Matthew Page and co-authors describe PRISMA 2020, an updated reporting guideline for systematic reviews and meta-analyses.
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              Thermal biology of mosquito‐borne disease

              Abstract Mosquito‐borne diseases cause a major burden of disease worldwide. The vital rates of these ectothermic vectors and parasites respond strongly and nonlinearly to temperature and therefore to climate change. Here, we review how trait‐based approaches can synthesise and mechanistically predict the temperature dependence of transmission across vectors, pathogens, and environments. We present 11 pathogens transmitted by 15 different mosquito species – including globally important diseases like malaria, dengue, and Zika – synthesised from previously published studies. Transmission varied strongly and unimodally with temperature, peaking at 23–29ºC and declining to zero below 9–23ºC and above 32–38ºC. Different traits restricted transmission at low versus high temperatures, and temperature effects on transmission varied by both mosquito and parasite species. Temperate pathogens exhibit broader thermal ranges and cooler thermal minima and optima than tropical pathogens. Among tropical pathogens, malaria and Ross River virus had lower thermal optima (25–26ºC) while dengue and Zika viruses had the highest (29ºC) thermal optima. We expect warming to increase transmission below thermal optima but decrease transmission above optima. Key directions for future work include linking mechanistic models to field transmission, combining temperature effects with control measures, incorporating trait variation and temperature variation, and investigating climate adaptation and migration.
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                Author and article information

                Contributors
                Role: ConceptionRole: Design of the studyRole: Acquisition of dataRole: AnalysisRole: Interpretation of dataRole: Preparation of the manuscriptRole: RevisionRole: Final approval of the submitted version
                Role: Acquisition of dataRole: AnalysisRole: Interpretation of dataRole: Preparation of the manuscriptRole: RevisionRole: Final approval of the submitted version
                Role: Acquisition of dataRole: AnalysisRole: Interpretation of dataRole: Preparation of the manuscriptRole: RevisionRole: Final approval of the submitted version
                Role: AnalysisRole: Interpretation of dataRole: RevisionRole: Final approval of the submitted version
                Role: AnalysisRole: Interpretation of dataRole: RevisionRole: Final approval of the submitted version
                Role: AnalysisRole: Interpretation of dataRole: RevisionRole: Final approval of the submitted version
                Role: AnalysisRole: Interpretation of dataRole: RevisionRole: Final approval of the submitted version
                Role: ConceptionRole: Design of the studyRole: Acquisition of dataRole: AnalysisRole: Interpretation of dataRole: Preparation of the manuscriptRole: RevisionRole: Final approval of the submitted version
                Role: ConceptionRole: Design of the studyRole: Acquisition of dataRole: AnalysisRole: Interpretation of dataRole: Preparation of the manuscriptRole: RevisionRole: Final approval of the submitted version
                Role: ConceptionRole: Design of the studyRole: Acquisition of dataRole: AnalysisRole: Interpretation of dataRole: Preparation of the manuscriptRole: RevisionRole: Final approval of the submitted version
                Journal
                Mem Inst Oswaldo Cruz
                Mem Inst Oswaldo Cruz
                mioc
                Memórias do Instituto Oswaldo Cruz
                Instituto Oswaldo Cruz, Ministério da Saúde
                0074-0276
                1678-8060
                24 June 2024
                2024
                : 119
                : e240015
                Affiliations
                [1 ]Universidade Federal Fluminense, Centro de Investigação de Microrganismos, Instituto Biomédico, Departamento de Microbiologia e Parasitologia, Niterói, RJ, Brasil
                [2 ]Universidade Federal Fluminense, Instituto Biomédico, Departamento de Microbiologia e Parasitologia, Programa de Pós-Graduação em Microbiologia e Parasitologia Aplicadas, Niterói, RJ, Brasil
                [3 ]Universidade Federal Fluminense, Programa de Pós-Graduação em Ciências e Biotecnologia, Niterói, RJ, Brasil
                [4 ]Universidade Federal de Sergipe, Centro de Ciências Biológicas e da Saúde, Departamento de Biologia, Programa de Pós-Graduação em Biologia Parasitária, São Cristóvão, SE, Brasil
                Author notes

                MCF, MLA and ESM contributed equally to this work.

                The authors declare that they have no competing interests, and confirm that all data underlying the findings are fully available without restriction. The funders had no participation in the study’s design, data collection and analysis, publishing decision, or manuscript preparation.

                Author information
                https://orcid.org/0000-0002-4221-2728
                https://orcid.org/0000-0002-8955-3204
                Article
                00200
                10.1590/0074-02760240015
                11197440
                38922217
                1201cb34-2a57-4766-aef3-7569f470c9d0

                This is an open-access article distributed under the terms of the Creative Commons Attribution License

                History
                : 20 January 2024
                : 02 May 2024
                Page count
                Figures: 3, Tables: 4, References: 90
                Funding
                Funded by: CAPES
                Award ID: 001
                Categories
                Review

                arbovirus infections,epidemiology,plasmodium,vector borne diseases.

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