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      Poverty, sanitation, and Leptospira transmission pathways in residents from four Brazilian slums

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          Abstract

          Residents of urban slums suffer from a high burden of zoonotic diseases due to individual, socioeconomic, and environmental factors. We conducted a cross-sectional sero-survey in four urban slums in Salvador, Brazil, to characterize how poverty and sanitation contribute to the transmission of rat-borne leptospirosis. Sero-prevalence in the 1,318 participants ranged between 10.0 and 13.3%. We found that contact with environmental sources of contamination, rather than presence of rat reservoirs, is what leads to higher risk for residents living in areas with inadequate sanitation. Further, poorer residents may be exposed away from the household, and ongoing governmental interventions were not associated with lower transmission risk. Residents at higher risk were aware of their vulnerability, and their efforts improved the physical environment near their household, but did not reduce their infection chances. This study highlights the importance of understanding the socioeconomic and environmental determinants of risk, which ought to guide intervention efforts.

          Author summary

          Globally, more than 1 billion residents live in urban slums, where inadequate sanitation increases the spread of pathogens and their animal hosts. Leptospirosis is a globally distributed bacterial disease, and in urban areas the bacteria is spread by brown rats. Humans become infected upon exposure to water or soil/mud that was contaminated with the urine of infected rats. In four urban slums in the city of Salvador, Brazil, we used a range of individual, socioeconomic, and environmental variables to understand how they influence to one another and define o leptospirosis exposure in residents. Poverty and sanitation influenced the degree to which residents were exposed to sewer water and mud. Further, we found that while residents tried to improve the physical environment near their household, living in an area with poor sanitation mean that their infection risk remained high. This work highlight the importance of socioeconomic and environmental factors in determining disease risk, and suggests that governmental interventions should focus on improving sanitation changes in the poorest parts of the community.

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          lavaan: AnRPackage for Structural Equation Modeling

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            Fitting Linear Mixed-Effects Models Using lme4

            Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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              Global Morbidity and Mortality of Leptospirosis: A Systematic Review

              Background Leptospirosis, a spirochaetal zoonosis, occurs in diverse epidemiological settings and affects vulnerable populations, such as rural subsistence farmers and urban slum dwellers. Although leptospirosis is a life-threatening disease and recognized as an important cause of pulmonary haemorrhage syndrome, the lack of global estimates for morbidity and mortality has contributed to its neglected disease status. Methodology/Principal Findings We conducted a systematic review of published morbidity and mortality studies and databases to extract information on disease incidence and case fatality ratios. Linear regression and Monte Carlo modelling were used to obtain age and gender-adjusted estimates of disease morbidity for countries and Global Burden of Disease (GBD) and WHO regions. We estimated mortality using models that incorporated age and gender-adjusted disease morbidity and case fatality ratios. The review identified 80 studies on disease incidence from 34 countries that met quality criteria. In certain regions, such as Africa, few quality assured studies were identified. The regression model, which incorporated country-specific variables of population structure, life expectancy at birth, distance from the equator, tropical island, and urbanization, accounted for a significant proportion (R2 = 0.60) of the variation in observed disease incidence. We estimate that there were annually 1.03 million cases (95% CI 434,000–1,750,000) and 58,900 deaths (95% CI 23,800–95,900) due to leptospirosis worldwide. A large proportion of cases (48%, 95% CI 40–61%) and deaths (42%, 95% CI 34–53%) were estimated to occur in adult males with age of 20–49 years. Highest estimates of disease morbidity and mortality were observed in GBD regions of South and Southeast Asia, Oceania, Caribbean, Andean, Central, and Tropical Latin America, and East Sub-Saharan Africa. Conclusions/Significance Leptospirosis is among the leading zoonotic causes of morbidity worldwide and accounts for numbers of deaths, which approach or exceed those for other causes of haemorrhagic fever. Highest morbidity and mortality were estimated to occur in resource-poor countries, which include regions where the burden of leptospirosis has been underappreciated.
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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: Data curationRole: ResourcesRole: Validation
                Role: Data curationRole: InvestigationRole: ResourcesRole: Software
                Role: Data curationRole: InvestigationRole: ResourcesRole: Validation
                Role: Data curationRole: Formal analysisRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisition
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administration
                Role: ConceptualizationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: 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
                31 March 2021
                March 2021
                : 15
                : 3
                : e0009256
                Affiliations
                [1 ] Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
                [2 ] Swedish University of Agricultural Sciences, Umeå, Sweden
                [3 ] Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil
                [4 ] Centre for Health Informatics, Computing, and Statistics, Lancaster University Medical School, Lancaster, United Kingdom
                [5 ] Faculdade de Medicina da Bahia, Federal University of Bahia, Salvador, Brazil
                [6 ] Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, United States of America
                [7 ] Department of Evolution, Ecology and Behaviour, The University of Liverpool, United Kingdom
                Universidade Federal de Pelotas, BRAZIL
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9982-6387
                https://orcid.org/0000-0003-0581-3433
                https://orcid.org/0000-0002-7345-4914
                https://orcid.org/0000-0001-5033-690X
                https://orcid.org/0000-0001-9847-8632
                https://orcid.org/0000-0003-2370-2198
                https://orcid.org/0000-0001-9023-2339
                https://orcid.org/0000-0003-3521-5020
                https://orcid.org/0000-0001-6243-9367
                https://orcid.org/0000-0003-1715-5327
                https://orcid.org/0000-0001-6951-2336
                Article
                PNTD-D-20-01485
                10.1371/journal.pntd.0009256
                8041187
                33788864
                1e6148a9-b60c-4a0f-a782-6388bb1365d5
                © 2021 Khalil 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
                : 18 August 2020
                : 19 February 2021
                Page count
                Figures: 3, Tables: 2, Pages: 15
                Funding
                Funded by: Medical Research Council
                Award ID: MR/P024084/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100006181, Fundação de Amparo à Pesquisa do Estado da Bahia;
                Award ID: 10206/2015
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 102330/Z/13/Z
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 1 R01 TW009504
                Award Recipient :
                The study was funded by Medical Research Council (UK). Grant number: MR/P024084/1 to MB, Fundação de Amparo à Pesquisa do Estado da Bahia (BR) Grant number: 10206/2015, Wellcome Trust (UK) Grant number:102330/Z/13/Z and National Institutes of Health (US) Grant number:1 R01 TW009504 to FC. 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
                Medical Conditions
                Infectious Diseases
                Bacterial Diseases
                Leptospirosis
                Medicine and Health Sciences
                Medical Conditions
                Tropical Diseases
                Neglected Tropical Diseases
                Leptospirosis
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Zoonoses
                Leptospirosis
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Medicine and Health Sciences
                Health Care
                Environmental Health
                Sanitation
                Medicine and Health Sciences
                Public and Occupational Health
                Environmental Health
                Sanitation
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Biology and Life Sciences
                Organisms
                Bacteria
                Leptospira
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Leptospira
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Leptospira
                Ecology and Environmental Sciences
                Terrestrial Environments
                Urban Environments
                People and places
                Geographical locations
                South America
                Brazil
                Engineering and Technology
                Civil Engineering
                Urban Infrastructure
                Custom metadata
                vor-update-to-uncorrected-proof
                2021-04-12
                Data cannot be shared publicly because of personal information of participants in the sero-survey, both at the individual and household level. Researchers who wish to access the data can contact the data manager at the Oswaldo Cruz Foundation, Nivison Junior ( nivisonjr@ 123456gmail.com ).

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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