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      Human Trypanosoma cruzi infection is driven by eco-social interactions in rural communities of the Argentine Chaco

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          Abstract

          The transmission of Trypanosoma cruzi to humans is determined by multiple ecological, socio-economic and cultural factors acting at different scales. Their effects on human infection with T. cruzi have often been examined separately or using a limited set of ecological and socio-demographic variables. Herein, we integrated the ecological and social dimensions of human infection risk with the spatial distribution patterns of human and vector ( Triatoma infestans) infection in rural communities of the Argentine Chaco composed of indigenous people (90% Qom) and a creole minority. We conducted serosurveys in 470 households aiming at complete population enumeration over 2012–2015. The estimated seroprevalence of T. cruzi prior to the implementation of an insecticide spraying campaign (2008) was 29.0% (N = 1,373 in 301 households), and was twice as large in Qom than creoles. Using generalized linear mixed models, human seropositive cases significantly increased with infected triatomine abundance, having a seropositive household co-inhabitant and household social vulnerability (a multidimensional index of poverty), and significantly decreased with increasing host availability in sleeping quarters (an index summarizing the number of domestic hosts for T. infestans). Vulnerable household residents were exposed to a higher risk of infection even at low infected-vector abundances. The risk of being seropositive increased significantly with house infestation among children from stable households, whereas both variables were not significantly associated among children from households exhibiting high mobility within the communities, possibly owing to less consistent exposures. Human infection was clustered by household and at a larger spatial scale, with hotspots of human and vector infection matching areas of higher social vulnerability. These results were integrated in a risk map that shows high-priority areas for targeted interventions oriented to suppress house (re)infestations, detect and treat infected children, and thus reduce the burden of future disease.

          Author summary

          Chagas disease is one of the main neglected tropical diseases (NTDs) affecting vulnerable communities in Latin America where transmission by triatomine vectors still occurs. Access to diagnosis and treatment is one of the remaining challenges for sustainable control of Chagas disease in endemic areas. In this study, we integrated the ecological and social determinants of human infection with the spatial component to identify individuals, households and geographic sectors at higher risk of infection. We found that human infection was more prevalent in indigenous people compared to creoles and increased with the abundance of infected vectors and with household social vulnerability (a multidimensional index of poverty). We also found that the social factors modulated the effect of the abundance of infected vectors: vulnerable-household residents were exposed to a higher risk of infection even at low infected-vector abundance, and human mobility within the area determined a lower and more variable exposure to the vector over time. These results were integrated in a risk map that showed high-priority areas, which can be used in designing cost-effective serological screening strategies adapted to resource-constrained areas.

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          Optimal cut-point and its corresponding Youden Index to discriminate individuals using pooled blood samples.

          Costs can hamper the evaluation of the effectiveness of new biomarkers. Analysis of smaller numbers of pooled specimens has been shown to be a useful cost-cutting technique. The Youden index (J), a function of sensitivity (q) and specificity (p), is a commonly used measure of overall diagnostic effectiveness. More importantly, J is the maximum vertical distance or difference between the ROC curve and the diagonal or chance line; it occurs at the cut-point that optimizes the biomarker's differentiating ability when equal weight is given to sensitivity and specificity. Using the additive property of the gamma and normal distributions, we present a method to estimate the Youden index and the optimal cut-point, and extend its applications to pooled samples. We study the effect of pooling when only a fixed number of individuals are available for testing, and pooling is carried out to save on the number of assays. We measure loss of information by the change in root mean squared error of the estimates of the optimal cut-point and the Youden index, and we study the extent of this loss via a simulation study. In conclusion, pooling can result in a substantial cost reduction while preserving the effectiveness of estimators, especially when the pool size is not very large.
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            House-to-house human movement drives dengue virus transmission.

            Dengue is a mosquito-borne disease of growing global health importance. Prevention efforts focus on mosquito control, with limited success. New insights into the spatiotemporal drivers of dengue dynamics are needed to design improved disease-prevention strategies. Given the restricted range of movement of the primary mosquito vector, Aedes aegypti, local human movements may be an important driver of dengue virus (DENV) amplification and spread. Using contact-site cluster investigations in a case-control design, we demonstrate that, at an individual level, risk for human infection is defined by visits to places where contact with infected mosquitoes is likely, independent of distance from the home. Our data indicate that house-to-house human movements underlie spatial patterns of DENV incidence, causing marked heterogeneity in transmission rates. At a collective level, transmission appears to be shaped by social connections because routine movements among the same places, such as the homes of family and friends, are often similar for the infected individual and their contacts. Thus, routine, house-to-house human movements do play a key role in spread of this vector-borne pathogen at fine spatial scales. This finding has important implications for dengue prevention, challenging the appropriateness of current approaches to vector control. We argue that reexamination of existing paradigms regarding the spatiotemporal dynamics of DENV and other vector-borne pathogens, especially the importance of human movement, will lead to improvements in disease prevention.
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              Measuring classifier performance: a coherent alternative to the area under the ROC curve

              David Hand (2009)
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                16 December 2019
                December 2019
                : 13
                : 12
                : e0007430
                Affiliations
                [1 ] Universidad de Buenos Aires. Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, Buenos Aires, Argentina
                [2 ] Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Ciudad Universitaria, Buenos Aires, Argentina
                [3 ] Earth Institute, Columbia University, New York, New York, United States of America
                [4 ] Ministerio de Salud Pública del Chaco, Resistencia, Chaco, Argentina
                [5 ] Facultad de Ciencias Exactas, Naturales y Agrimensura, Universidad Nacional del Nordeste, Corrientes, Corrientes, Argentina
                Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, BRAZIL
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-8645-2267
                Article
                PNTD-D-19-00662
                10.1371/journal.pntd.0007430
                6936860
                31841558
                89757fbd-9d27-424d-8a08-1779855c6f21
                © 2019 Fernández et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 April 2019
                : 25 October 2019
                Page count
                Figures: 6, Tables: 2, Pages: 25
                Funding
                Funded by: Tropical Disease Research
                Award ID: A70596
                Award Recipient :
                Funded by: Agencia Nacional de Promoción Científica y Tecnológica
                Award ID: PICT 2010
                Award Recipient :
                Funded by: Agencia Nacional de Promoción Científica y Tecnológica
                Award ID: PICT 2014
                Award Recipient :
                Funded by: Agencia Nacional de Promoción Científica y Tecnológica
                Award ID: PICTO-Glaxo 2011
                Award Recipient :
                Funded by: Fundación Bunge and Born
                Award ID: 2015-2017
                Award Recipient :
                Funded by: University of Buenos Aires
                Award ID: UBACYT 2014-2017
                Award Recipient :
                Parts of this study were supported by awards from Tropical Disease Research ( https://www.who.int/tdr/en/, UNICEF/PNUD/WB/WHO, grant No. A70596), Agencia Nacional de Promoción Científica y Tecnológica ( https://www.argentina.gob.ar/ciencia/agencia, PICT 2010, 2014 and PICTO-Glaxo 2011), Fundación Bunge and Born (2015-2017), and the University of Buenos Aires ( http://cyt.rec.uba.ar/Paginas/Inicio.aspx, UBACYT 2014-2017) to REG. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Infectious Diseases
                Vector-Borne Diseases
                Biology and Life Sciences
                Organisms
                Eukaryota
                Protozoans
                Parasitic Protozoans
                Trypanosoma
                Trypanosoma Cruzi
                People and Places
                Population Groupings
                Age Groups
                Children
                People and Places
                Population Groupings
                Families
                Children
                Medicine and Health Sciences
                Pediatrics
                Pediatric Infections
                Biology and Life Sciences
                Agriculture
                Agrochemicals
                Insecticides
                Medicine and Health Sciences
                Infectious Diseases
                Disease Vectors
                Insect Vectors
                Biology and Life Sciences
                Species Interactions
                Disease Vectors
                Insect Vectors
                Medicine and Health Sciences
                Tropical Diseases
                Neglected Tropical Diseases
                Chagas Disease
                Medicine and Health Sciences
                Parasitic Diseases
                Protozoan Infections
                Chagas Disease
                Medicine and Health Sciences
                Infectious Diseases
                Disease Vectors
                Biology and Life Sciences
                Species Interactions
                Disease Vectors
                Custom metadata
                vor-update-to-uncorrected-proof
                2019-12-30
                All relevant data are within the manuscript and its Supporting Information files ( S3 Table).

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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