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BMC Infectious Diseases Oct 2023Aedes (Stegomyia)-borne diseases are an expanding global threat, but gaps in surveillance make comprehensive and comparable risk assessments challenging. Geostatistical...
BACKGROUND
Aedes (Stegomyia)-borne diseases are an expanding global threat, but gaps in surveillance make comprehensive and comparable risk assessments challenging. Geostatistical models combine data from multiple locations and use links with environmental and socioeconomic factors to make predictive risk maps. Here we systematically review past approaches to map risk for different Aedes-borne arboviruses from local to global scales, identifying differences and similarities in the data types, covariates, and modelling approaches used.
METHODS
We searched on-line databases for predictive risk mapping studies for dengue, Zika, chikungunya, and yellow fever with no geographical or date restrictions. We included studies that needed to parameterise or fit their model to real-world epidemiological data and make predictions to new spatial locations of some measure of population-level risk of viral transmission (e.g. incidence, occurrence, suitability, etc.).
RESULTS
We found a growing number of arbovirus risk mapping studies across all endemic regions and arboviral diseases, with a total of 176 papers published 2002-2022 with the largest increases shortly following major epidemics. Three dominant use cases emerged: (i) global maps to identify limits of transmission, estimate burden and assess impacts of future global change, (ii) regional models used to predict the spread of major epidemics between countries and (iii) national and sub-national models that use local datasets to better understand transmission dynamics to improve outbreak detection and response. Temperature and rainfall were the most popular choice of covariates (included in 50% and 40% of studies respectively) but variables such as human mobility are increasingly being included. Surprisingly, few studies (22%, 31/144) robustly tested combinations of covariates from different domains (e.g. climatic, sociodemographic, ecological, etc.) and only 49% of studies assessed predictive performance via out-of-sample validation procedures.
CONCLUSIONS
Here we show that approaches to map risk for different arboviruses have diversified in response to changing use cases, epidemiology and data availability. We identify key differences in mapping approaches between different arboviral diseases, discuss future research needs and outline specific recommendations for future arbovirus mapping.
Topics: Animals; Humans; Arboviruses; Aedes; Arbovirus Infections; Yellow Fever; Zika Virus Infection; Chikungunya Fever; Zika Virus; Mosquito Vectors; Dengue
PubMed: 37864153
DOI: 10.1186/s12879-023-08717-8 -
Infectious Diseases of Poverty Oct 2023Clonorchis sinensis, one of the most important food-borne zoonotic trematodes, remains prevalent in China. Understanding its infection status in animals is crucial for... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Clonorchis sinensis, one of the most important food-borne zoonotic trematodes, remains prevalent in China. Understanding its infection status in animals is crucial for controlling human clonorchiasis. Here we conducted a systematic review and meta-analysis to focus on the spatio-temporal disparities of C. sinensis infection in animals in China.
METHODS
Data on C. sinensis prevalence in snails, the second intermediate hosts, or animal reservoirs in China were extracted from electronic databases including PubMed, Embase, Web of Science, Chinese Wanfang database, CNKI, VIP, and China Biomedical Literature database. A random-effects meta-analysis model was utilized to estimate the pooled prevalence in each of the above animal hosts. Subgroup analysis and multivariable meta-regression were performed to explore potential sources of heterogeneity across studies and compare the temporal disparity of infection rates between high and low epidemic areas. Scatter plots were used to depict the biogeographical characteristics of regions reporting C. sinensis infection in animals.
RESULTS
The overall pooled prevalence of C. sinensis was 0.9% (95% CI: 0.6-1.2%) in snails, 14.2% (12.7-15.7%) in the second intermediate host, and 14.3% (11.4-17.6%) in animal reservoirs. Prevalence in low epidemic areas (with human prevalence < 1%) decreased from 0.6% (0.2-1.2%) before 1990 to 0.0% (0.0-3.6%) after 2010 in snails (P = 0.0499), from 20.3% (15.6-25.3%) to 8.8% (5.6-12.6%) in the second intermediate hosts (P = 0.0002), and from 18.3% (12.7-24.7%) to 4.7% (1.0-10.4%) in animal reservoirs. However, no similar decrease in prevalence was observed in high epidemic areas (with human prevalence ≥ 1.0%). C. sinensis infections were predominantly reported in areas with altitudes below 2346 m and annual cumulative precipitation above 345 mm and were mostly concentrated in eastern China.
CONCLUSIONS
There are spatio-temporal disparities in the animal infections of C. sinensis in different areas of China. Animal infections are primarily concentrated in regions with low altitude and high precipitation. The results suggest that implementing One Health-based comprehensive measures targeting both humans and animals, especially in high epidemic areas, is essential for successful eradication of C. sinensis in China.
Topics: Animals; Humans; Clonorchiasis; Clonorchis sinensis; China; Prevalence; Snails
PubMed: 37845775
DOI: 10.1186/s40249-023-01146-4 -
Frontiers in Neuroscience 2023Machine learning (ML) has been widely used to detect and evaluate major depressive disorder (MDD) using neuroimaging data, i.e., resting-state functional magnetic... (Review)
Review
The diagnostic performance of machine learning based on resting-state functional magnetic resonance imaging data for major depressive disorders: a systematic review and meta-analysis.
OBJECTIVE
Machine learning (ML) has been widely used to detect and evaluate major depressive disorder (MDD) using neuroimaging data, i.e., resting-state functional magnetic resonance imaging (rs-fMRI). However, the diagnostic efficiency is unknown. The aim of the study is to conduct an updated meta-analysis to evaluate the diagnostic performance of ML based on rs-fMRI data for MDD.
METHODS
English databases were searched for relevant studies. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess the methodological quality of the included studies. A random-effects meta-analytic model was implemented to investigate the diagnostic efficiency, including sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC). Regression meta-analysis and subgroup analysis were performed to investigate the cause of heterogeneity.
RESULTS
Thirty-one studies were included in this meta-analysis. The pooled sensitivity, specificity, DOR, and AUC with 95% confidence intervals were 0.80 (0.75, 0.83), 0.83 (0.74, 0.82), 14.00 (9, 22.00), and 0.86 (0.83, 0.89), respectively. Substantial heterogeneity was observed among the studies included. The meta-regression showed that the leave-one-out cross-validation (loocv) (sensitivity: < 0.01, specificity: < 0.001), graph theory (sensitivity: < 0.05, specificity: < 0.01), > 100 (sensitivity: < 0.001, specificity: < 0.001), simens equipment (sensitivity: < 0.01, specificity: < 0.001), 3.0T field strength (Sensitivity: < 0.001, specificity: = 0.04), and Beck Depression Inventory (BDI) (sensitivity: = 0.04, specificity: = 0.06) might be the sources of heterogeneity. Furthermore, the subgroup analysis showed that the sample size ( > 100: sensitivity: 0.71, specificity: 0.72, < 100: sensitivity: 0.81, specificity: 0.79), the different levels of disease evaluated by the Hamilton Depression Rating Scale (HDRS/HAMD) (mild vs. moderate vs. severe: sensitivity: 0.52 vs. 0.86 vs. 0.89, specificity: 0.62 vs. 0.78 vs. 0.82, respectively), the depression scales in patients with comparable levels of severity. (BDI vs. HDRS/HAMD: sensitivity: 0.86 vs. 0.87, specificity: 0.78 vs. 0.80, respectively), and the features (graph vs. functional connectivity: sensitivity: 0.84 vs. 0.86, specificity: 0.76 vs. 0.78, respectively) selected might be the causes of heterogeneity.
CONCLUSION
ML showed high accuracy for the automatic diagnosis of MDD. Future studies are warranted to promote the potential use of these classification algorithms in clinical settings.
PubMed: 37811326
DOI: 10.3389/fnins.2023.1174080 -
Pathogens (Basel, Switzerland) Sep 2023Chagas disease is caused by the hemoflagellate protozoan The main transmission mechanism for the parasite in endemic areas is contact with the feces of an infected... (Review)
Review
Chagas disease is caused by the hemoflagellate protozoan The main transmission mechanism for the parasite in endemic areas is contact with the feces of an infected triatomine bug. Part of the life cycle of occurs in the digestive tract of triatomines, where vector and parasite engage in a close interaction at a proteomic-molecular level. This interaction triggers replication and differentiation processes in the parasite that can affect its infectivity for the vertebrate host. With the aim of compiling and analyzing information from indexed publications on transcripts, proteins, and glycoproteins in the guts of fasting, fed, and -infected triatomines in the period 2000-2022, a systematic review was conducted following the PRISMA guidelines. Fifty-five original research articles retrieved from PubMed and ScienceDirect were selected; forty-four papers reported 1-26,946 transcripts, and twenty-one studies described 1-2603 peptides/proteins.
PubMed: 37764932
DOI: 10.3390/pathogens12091124 -
Pediatric Reports Sep 2023Borna disease virus 1 (BoDV-1) can cause a severe human syndrome characterized by meningo-myeloencephalitis. The actual epidemiology of BoDV-1 remains disputed, and our... (Review)
Review
Borna disease virus 1 (BoDV-1) can cause a severe human syndrome characterized by meningo-myeloencephalitis. The actual epidemiology of BoDV-1 remains disputed, and our study summarized prevalence data among children and adolescents (<18-year-old). Through systematic research on three databases (PubMed, EMBASE, MedRxiv), all studies, including seroprevalence rates for BoDV-1 antigens and specific antibodies, were retrieved, and their results were summarized. We identified a total of six studies for a total of 2692 subjects aged less than 18 years (351 subjects sampled for BoDV-1 antibodies and 2557 for antigens). A pooled seroprevalence of 6.09% (95% Confidence Interval [95% CI] 2.14 to 16.17) was eventually calculated for BoDV-1 targeting antibodies and 0.76% (95% CI 0.26 to 2.19) for BoDV-1 antigens. Both estimates were affected by substantial heterogeneity. Seroprevalence rates for BoDV-1 in children and adolescents suggested that a substantial circulation of the pathogen does occur, and as infants and adolescents have relatively scarce opportunities for being exposed to hosts and animal reservoirs, the potential role of unknown vectors cannot be ruled out.
PubMed: 37755407
DOI: 10.3390/pediatric15030047 -
Journal of Infection and Public Health Nov 2023Dengue fever is a zoonotic viral infection that raises a global alarm in the tropics and subtropics, with the potentially escalating into newer geographical regions....
BACKGROUND
Dengue fever is a zoonotic viral infection that raises a global alarm in the tropics and subtropics, with the potentially escalating into newer geographical regions. Severe dengue may be associated with fatal complications such as myocarditis. There is a paucity of available data on the prevalence of dengue-associated myocarditis. The objective of this systematic review and meta-analysis was to estimate the global prevalence of dengue-associated myocarditis.
METHODS
A systematic search was conducted utilizing the Cochrane library, PubMed, Scopus, ProQuest, Web of Science, and Preprint servers such as arXiv, medRxiv, bioRxiv, BioRN, ChiRN, ChiRxiv, and SSRN as of November 25, 2022. All primary studies (case series, cross-sectional, retrospective, and prospective) that reported confirmed cases of dengue myocarditis were included. The I statistic test assessed the heterogenic characteristics and publication bias was evaluated using Doi plot and Egger regression tests.
RESULTS
A total of 12 studies conducted between 2007 and 2022 with 2795 laboratory-confirmed dengue patients were included. Of the included cases, 502 were positive for myocarditis, with a prevalence of 2.4-78%. The pooled prevalence of dengue-induced myocarditis in the studied population was 21.0% (95% CI, 9 - 38%). The prediction interval was estimated to be 0.00 - 0.81.
CONCLUSION
Myocarditis in dengue patients is a significant and understudied complication in many aspects. To prevent dengue-associated myocarditis, appropriate measures such as early detection of cases and signs, symptoms-based diagnosis via electrocardiography and echocardiography, as well as relevant vector control policies must be implemented.
PubMed: 37738692
DOI: 10.1016/j.jiph.2023.08.005 -
Current Research in Parasitology &... 2023Mosquito-borne viruses are leading causes of morbidity and mortality in many parts of the world. In recent years, modelling studies have shown that climate change... (Review)
Review
Mosquito-borne viruses are leading causes of morbidity and mortality in many parts of the world. In recent years, modelling studies have shown that climate change strongly influences vector-borne disease transmission, particularly rising temperatures. As a result, the risk of epidemics has increased, posing a significant public health risk. This review aims to summarize all published laboratory experimental studies carried out over the years to determine the impact of temperature on the transmission of arboviruses by the mosquito vector. Given their high public health importance, we focus on dengue, chikungunya, and Zika viruses, which are transmitted by the mosquitoes and . Following PRISMA guidelines, 34 papers were included in this systematic review. Most studies found that increasing temperatures result in higher rates of infection, dissemination, and transmission of these viruses in mosquitoes, although several studies had differing findings. Overall, the studies reviewed here suggest that rising temperatures due to climate change would alter the vector competence of mosquitoes to increase epidemic risk, but that some critical research gaps remain.
PubMed: 37719233
DOI: 10.1016/j.crpvbd.2023.100139 -
Chronic Diseases and Translational... Sep 2023Lyme disease is the most common vector-borne illness in the United States and has been causing significant morbidity since its discovery in 1977. It is well-documented... (Review)
Review
Lyme disease is the most common vector-borne illness in the United States and has been causing significant morbidity since its discovery in 1977. It is well-documented that about 10% of patients properly treated with antibiotics never fully recover, but instead go on to develop a chronic illness dubbed, posttreatment Lyme disease syndrome (PTLDS) characterized by severe fatigue, cognitive slowing, chronic pain, and sleep difficulties. This review includes 18 studies that detail the symptoms of patients with PTLDS and uses qualitative analysis to compare them to myalgic encephalitis/chronic fatigue syndrome (ME/CFS), a strikingly similar syndrome. In the majority of the PTLDS studies, at least four of the six major symptoms of ME/CFS were also noted, including substantial impairment in activity level and fatigue for more than 6 months, post-exertional malaise, and unrefreshing sleep. In one of the included PTLDS articles, 26 of the 29 ME/CFS symptoms were noted. This study adds to the expanding literature on the post-active phase of infection syndromes, which suggests that chronic illnesses such as PTLDS and ME/CFS have similar pathogenesis despite different infectious origins.
PubMed: 37711861
DOI: 10.1002/cdt3.74 -
Journal of Alzheimer's Disease : JAD 2023Alzheimer's disease (AD) is a prevalent neurodegenerative disorder without a cure. Innovative disease models, such as induced neurons (iNs), could enhance our...
BACKGROUND
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder without a cure. Innovative disease models, such as induced neurons (iNs), could enhance our understanding of AD mechanisms and accelerate treatment development. However, a review of AD human iN studies is necessary to consolidate knowledge.
OBJECTIVE
The objective of this review is to examine the current body of literature on AD human iN cells and provide an overview of the findings to date.
METHODS
We searched two databases for relevant studies published between 2010 and 2023, identifying nine studies meeting our criteria.
RESULTS
Reviewed studies indicate the feasibility of generating iNs directly from AD patients' fibroblasts using chemical induction or viral vectors. These cells express mature neuronal markers, including MAP-2, NeuN, synapsin, and tau. However, most studies were limited in sample size and primarily focused on autosomal dominant familial AD (FAD) rather than the more common sporadic forms of AD. Several studies indicated that iNs derived from FAD fibroblasts exhibited abnormal amyloid-β metabolism, a characteristic feature of AD in humans. Additionally, elevated levels of hyperphosphorylated tau, another hallmark of AD, were reported in some studies.
CONCLUSION
Although only a limited number of small-scale studies are currently available, AD patient-derived iNs hold promise as a valuable model for investigating AD pathogenesis. Future research should aim to conduct larger studies, particularly focusing on sporadic AD cases, to enhance the clinical relevance of the findings for the broader AD patient population. Moreover, these cells can be utilized in screening potential novel treatments for AD.
Topics: Humans; Alzheimer Disease; Amyloid beta-Peptides; tau Proteins; Neurons; Fibroblasts
PubMed: 37661882
DOI: 10.3233/JAD-230119 -
PLoS Neglected Tropical Diseases Aug 2023After the unprecedented Zika virus (ZIKV) outbreak in the western hemisphere from 2015-2018, Aedes aegypti and Ae. albopictus are now well established primary and...
BACKGROUND
After the unprecedented Zika virus (ZIKV) outbreak in the western hemisphere from 2015-2018, Aedes aegypti and Ae. albopictus are now well established primary and secondary ZIKV vectors, respectively. Consensus about identification and importance of other secondary ZIKV vectors remain. This systematic review aims to provide a list of vector species capable of transmitting ZIKV by reviewing evidence from laboratory vector competence (VC) studies and to identify key knowledge gaps and issues within the ZIKV VC literature.
METHODS
A search was performed until 15th March 2022 on the Cochrane Library, Lilacs, PubMed, Web of Science, WHOLIS and Google Scholar. The search strings included three general categories: 1) "ZIKA"; 2) "vector"; 3) "competence", "transmission", "isolation", or "feeding behavior" and their combinations. Inclusion and exclusion criteria has been predefined and quality of included articles was assessed by STROBE and STROME-ID criteria.
FINDINGS
From 8,986 articles retrieved, 2,349 non-duplicates were screened by title and abstracts,103 evaluated using the full text, and 45 included in this analysis. Main findings are 1) secondary vectors of interest include Ae. japonicus, Ae. detritus, and Ae. vexans at higher temperature 2) Culex quinquefasciatus was not found to be a competent vector of ZIKV, 3) considerable heterogeneity in VC, depending on the local mosquito strain and virus used in testing was observed. Critical issues or gaps identified included 1) inconsistent definitions of VC parameters across the literature; 2) equivalency of using different mosquito body parts to evaluate VC parameters for infection (mosquito bodies versus midguts), dissemination (heads, legs or wings versus salivary glands), and transmission (detection or virus amplification in saliva, FTA cards, transmission to neonatal mice); 3) articles that fail to use infectious virus assays to confirm the presence of live virus; 4) need for more studies using murine models with immunocompromised mice to infect mosquitoes.
CONCLUSION
Recent, large collaborative multi-country projects to conduct large scale evaluations of specific mosquito species represent the most appropriate approach to establish VC of mosquito species.
Topics: Animals; Mice; Zika Virus; Zika Virus Infection; Mosquito Vectors; Aedes; Biological Assay
PubMed: 37651473
DOI: 10.1371/journal.pntd.0011591