scholarly journals Cross-border malaria in Northern Brazil

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Nicholas J. Arisco ◽  
Cassio Peterka ◽  
Marcia C. Castro
Keyword(s):  
Logistic Regression ◽  
Human Mobility ◽  
Epidemiological Surveillance ◽  
Chi Square ◽  
Major Barrier ◽  
Malaria Burden ◽  
Cross Border ◽  
Imported Case ◽  
Border Malaria ◽  
Northern Brazil

Abstract Background Cross-border malaria is a major barrier to elimination efforts. Along the Venezuela-Brazil-Guyana border, intense human mobility fueled primarily by a humanitarian crisis and illegal gold mining activities has increased the occurrence of cross-border cases in Brazil. Roraima, a Brazilian state situated between Venezuela and Guyana, bears the greatest burden. This study analyses the current cross-border malaria epidemiology in Northern Brazil between the years 2007 and 2018. Methods De-identified data on reported malaria cases in Brazil were obtained from the Malaria Epidemiological Surveillance Information System for the years 2007 to 2018. Pearson’s Chi-Square test of differences was utilized to assess differences between characteristics of cross-border cases originating from Venezuela and Guyana, and between border and transnational cases. A logistic regression model was used to predict imported status of cases. Results Cross-border cases from Venezuela and Guyana made up the majority of border and transnational cases since 2012, and Roraima remained the largest receiving state for cross-border cases over this period. There were significant differences in the profiles of border and transnational cases originating from Venezuela and Guyana, including type of movement and nationality of patients. Logistic regression results demonstrated Venezuelan and Guyanese nationals, Brazilian miners, males, and individuals of working age had heightened odds of being an imported case. Furthermore, Venezuelan citizens had heightened odds of seeking care in municipalities adjacent Venezuela, rather than transnational municipalities. Conclusions Cross-border malaria contributes to the malaria burden at the Venezuela-Guyana-Brazil border. The identification of distinct profiles of case importation provides evidence on the need to strengthen surveillance at border areas, and to deploy tailored strategies that recognize different mobility routes, such as the movement of refuge-seeking individuals and of Brazilians working in mining.

scholarly journals Cross-Border Malaria Drivers and Risk Factors on the Brazil-Venezuela Border Between 2016 and 2018

2021 ◽  
Author(s):  
Kinley Wangdi ◽  
Erica Wetzler ◽  
Paola Marchesini ◽  
Leopoldo Villegas ◽  
Sara Canavati
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Malaria Elimination ◽  
Malaria Incidence ◽  
Imported Malaria ◽  
Surveillance Systems ◽  
Cross Border ◽  
Imported Case ◽  
Multivariable Logistic Regression ◽  
Imported Cases

Abstract Background Globally, cross-border importation of malaria has become a challenge to malaria elimination. The border areas between Brazil and Venezuela have experienced high numbers of imported cases due to increased population movement and migration out of Venezuela. This study aimed to identify risk factors for imported malaria and delineate imported malaria hotspots in Roraima, Brazil and Bolivar, Venezuela between 2016 and 2018.MethodsData on malaria surveillance cases from Roraima, Brazil and Bolivar, Venezuela from 2016 to 2018 were obtained from national surveillance systems: the Brazilian Malaria Epidemiology Surveillance Information System (SIVEP-Malaria), the Venezuelan Ministry of Health and other non-government organizations. A multivariable logistic regression model was used to identify the risk factors for imported malaria. Spatial autocorrelation in malaria incidence was explored using Getis-Ord (Gi*) statistics.ResultsDuring the study period, there were 11,270 (24.3%) and 4,072 (0.7%) imported malaria cases in Roraima, Brazil and Bolivar, Venezuela, respectively. In the multivariable logistic regression for Roraima, men were 28% less likely to be an imported case compared to women (Adjusted Odds Ratio [AOR]= 0.72; 95% confidence interval [CI] 0.665, 0.781). Ages 20-29 and 30-39 were 90% (AOR=1.90; 95% CI 1.649, 2.181) and 54% (AOR=1.54; 95% CI 1.331, 1.782) more likely to be an imported case compared to the 0-9 year age group, respectively. Imported cases were 197 times (AOR=197.03; 95% CI 175.094, 221.712) more likely to occur in miners than those working in agriculture and domestic work. In Bolivar, cases aged 10-19 (AOR=1.75; 95% CI 1.389, 2.192), 20-29 (AOR=2.48; 95% CI 1.957, 3.144), and 30-39 (AOR=2.29; 95% CI 1.803, 2.913) were at higher risk of being an imported case than those in the 0-9 year old group, with older age groups having a slightly higher risk compared to Roraima. Compared to agriculture and domestic workers, tourism, timber and fishing workers (AOR=6.38; 95% CI 4.393, 9.254) and miners (AOR=7.03; 95% CI 4.903, 10.092) were between six and seven times more likely to be an imported case. Spatial analysis showed the risk was higher along the international border in the municipalities of Roraima, Brazil.ConclusionTo achieve malaria elimination, cross-border populations in the hotspot municipalities will need targeted intervention strategies tailored to occupation, age and mobility status. Furthermore, all stakeholders, including implementers, policymakers, and donors, should support and explore the introduction of novel approaches to address these hard-to-reach populations with the most cost-effective interventions.

scholarly journals Author response: Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa

2019 ◽  
Author(s):  
Sofonias Tessema ◽  
Amy Wesolowski ◽  
Anna Chen ◽  
Maxwell Murphy ◽  
Jordan Wilheim ◽  
...  
Keyword(s):  
Southern Africa ◽  
Human Mobility ◽  
Author Response ◽  
Cross Border ◽  
Mobility Data ◽  
Border Malaria

The Effect of Sanctions on Cooperative Behavior: A Study on Medium Trust Individuals in the Context of Corruption

2018 ◽  
Vol 34 (1) ◽  
Author(s):  
Dewi Rosiana ◽  
Achmad Djunaidi ◽  
Indun Lestari Setyono ◽  
Wilis Srisayekti
Keyword(s):  
Logistic Regression ◽  
Public Interest ◽  
Logistic Regression Model ◽  
Cooperative Behavior ◽  
Research Subjects ◽  
Chi Square ◽  
Public Interests ◽  
The Public ◽  
Chi Square Analysis ◽  
Personal Interests

This study aims to describe the effect of sanctions (individual sanctions, collective sanctions, and absence of sanctions) on cooperative behavior of individuals with medium trust in the context of corruption. Both collective sanctions and individual sanctions, are systemic, which means sanctioning behavior is exercised not by each individual but by the system. Cooperative behavior in this context means choosing to obey rules, to reject acts of corruption and to prioritize public interests rather than the personal interests. Conversely, corruption is an uncooperative behavior to the rules, and ignores the public interest and prioritizes personal interests. Research subjects were 62 students. The Chi-Square Analysis was used to see the association between the variables and the logistic regression model was applied to describe the structure of this association. Individual sanction is recommended as punishment to medium trust individuals to promote cooperative behavior in the context of corruption. The results showed that individuals with medium trust had more cooperative behavior.

Budaya Kerja Petugas Panti Menurut Persepsi Lansia Dengan Kejadian Pengabaian di PSTW X

2019 ◽  
Vol 4 (3) ◽  
pp. 651
Author(s):  
Lola Felnanda Amri
Keyword(s):  
Logistic Regression ◽  
Nursing Home ◽  
Work Environment ◽  
The Elderly ◽  
Statistical Test ◽  
Nursing Personnel ◽  
Work Culture ◽  
Chi Square ◽  
Cross Sectional ◽  
Correlation Design

<p><em>Perawatan pada lansia di panti tresna werdha X dilakukan berdasarkan rutinitas kerja dan petugas belum mendapat pelatihan mengenai kebutuhan dasar lansia yang harus dipenuhi. Berdasarkan hal tersebut, peneliti ingin mengetahui hubungan budaya kerja petugas panti menurut persepsi lansia dengan kejadian pengabaian di PSTW X Sumatera Barat. Desain penelitian deskriptif korelasi, menggunakan pendekatan cross sectional. Pengambilan sampel dengan total sampling, berjumlah 75. Uji statistik digunakan chi square dan regresi logistik. Hasil yang diperoleh seluruh lansia mengalami pengabaian; ada hubungan antara sikap terhadap apa yang dikerjakan, lingkungan pekerjaan; waktu dengan pengabaian lansia; Tidak ada hubungan antara perilaku ketika mengambil keputusan dengan pengabaian lansia. Sikap terhadap apa yang dikerjakan memiliki pengaruh paling besar terhadap kejadian pengabaian lansia. Disimpulkan bahwa petugas harus lebih memahami tentang peran dan fungsinya sebagai pemberi pelayanan pada lansia. Direkomendasikan agar pejabat yang berwenang dapat menempatkan petugas panti sesuai dengan peran dan fungsi serta kewenangannya, dan merekrut perawat sesuai dengan kebutuhan panti.</em></p><p> </p><p><em>The nursing of elderly in </em><em>Tresna Werda X nursing home is mainly based on the workrout in and that the caregiver have not yet received training on the basic needs of the elderly that they should meet. Therefore, the researcher wanted to know the relations of the work culture of caregiver according to the elderly’s perception with the incidence of neglect in PSTW X West Sumatera. This study used Descriptive correlation design with cross sectional approach. The method of sampling used total sampling, which amounts to 75. The statistical test used chi square and logistic regression. The results of the study show that all of the elderly experienced neglect; there is a relation between attitude towards what is conducted, work environment, time with elderly neglect; no relation between behavior in making decisions with elderly neglect. The attitude towards what is conducted has the most impacton the incidence of elderly neglect. It is concluded that the caregiver should have a better understanding on their roles and functions as the caregivers to the elderly. Moreover, it is recommended that the authorities should put nursing personnel in accordance with the roles, functions and competence, and recruit nurses in accordance with the needs of the nursing home.</em></p>

scholarly journals Using Benford’s law to assess the quality of COVID-19 register data in Brazil

2020 ◽  
Author(s):  
Lucas Silva ◽  
Dalson Figueiredo Filho
Keyword(s):  
Goodness Of Fit ◽  
Epidemiological Surveillance ◽  
Evidence Based ◽  
Mean Absolute Deviation ◽  
Chi Square ◽  
Absolute Deviation ◽  
Distortion Factor ◽  
Benford Law ◽  
Official Data

Abstract We employ Newcomb–Benford law (NBL) to evaluate the reliability of COVID-19 figures in Brazil. Using official data from February 25 to September 15, we apply a first digit test for a national aggregate dataset of total cases and cumulative deaths. We find strong evidence that Brazilian reports do not conform to the NBL theoretical expectations. These results are robust to different goodness of fit (chi-square, mean absolute deviation and distortion factor) and data sources (John Hopkins University and Our World in Data). Despite the growing appreciation for evidence-based-policymaking, which requires valid and reliable data, we show that the Brazilian epidemiological surveillance system fails to provide trustful data under the NBL assumption on the COVID-19 epidemic.

scholarly journals Symmetry Dimension in Obsessive–Compulsive Disorder: Prevalence, Severity and Clinical Correlates

2021 ◽  
Vol 10 (2) ◽  
pp. 274
Author(s):  
Aline P. Vellozo ◽  
Leonardo F. Fontenelle ◽  
Ricardo C. Torresan ◽  
Roseli G. Shavitt ◽  
Ygor A. Ferrão ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Obsessive Compulsive Disorder ◽  
Clinical Sample ◽  
Cross Sectional Study ◽  
Obsessive Compulsive ◽  
Chi Square ◽  
Cross Sectional ◽  
Compulsive Disorder ◽  
Clinical Correlates ◽  
Axis I

Background: Obsessive–compulsive disorder (OCD) is a very heterogeneous condition that frequently includes symptoms of the “symmetry dimension” (i.e., obsessions and/or compulsions of symmetry, ordering, repetition, and counting), along with aggressive, sexual/religious, contamination/cleaning, and hoarding dimensions. Methods: This cross-sectional study aimed to investigate the prevalence, severity, and demographic and clinical correlates of the symmetry dimension among 1001 outpatients from the Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders. The main assessment instruments used were the Dimensional Yale–Brown Obsessive–Compulsive Scale, the Yale–Brown Obsessive–Compulsive Scale, the USP-Sensory Phenomena Scale, the Beck Depression and Anxiety Inventories, the Brown Assessment of Beliefs Scale, and the Structured Clinical Interview for DSM-IV Axis I Disorders. Chi-square tests, Fisher’s exact tests, Student’s t-tests, and Mann–Whitney tests were used in the bivariate analyses to compare patients with and without symptoms of the symmetry dimension. Odds ratios (ORs) with confidence intervals and Cohen’s D were also calculated as effect size measures. Finally, a logistic regression was performed to control for confounders. Results: The symmetry dimension was highly prevalent (86.8%) in this large clinical sample and, in the logistic regression, it remained associated with earlier onset of obsessive–compulsive symptoms, insidious onset of compulsions, more severe depressive symptoms, and presence of sensory phenomena. Conclusions: A deeper knowledge about specific OCD dimensions is essential for a better understanding and management of this complex and multifaceted disorder.

A cross sectional study: The association between sleeping quality and stress among second and third medical students at the University of Jordan

2021 ◽  
pp. 009121742110112
Author(s):  
AA Toubasi ◽  
BR Khraisat ◽  
RB AbuAnzeh ◽  
HM Kalbouneh
Keyword(s):  
Logistic Regression ◽  
Medical Students ◽  
Cross Sectional Study ◽  
Regular Exercise ◽  
Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
The Mean ◽  
University Of Jordan ◽  
The University

Objective Medicine is considered one if not the most stressful educational field. Thus, the aim of this study is to investigate the prevalence of stress and poor sleeping quality among medical students and the association between them. Method This cross-sectional study was conducted at the University of Jordan on second- and third-year medical students. The questionnaire consisted of: 1) Demographics; 2) The assessment tools which were Pittsburgh Quality of Sleep Index (PSQI) and Kessler Psychological Distress Status (K10). Binary logistic regression, chi-square and linear regression were used to investigate the association between PSQI, K10, and their determinants. Results The mean for PSQI score was 6.76 ± 3.32. PSQI scores interpretation revealed that 61.7% of the 282 participants of this study were poor sleepers. Logistic regression results showed that only the category of not napping at all from the napping hours variable was significantly associated with sleeping quality. Furthermore, the mean of K10 scores was 24.5 ± 8.5. K10 scores revealed that 66.3% of the participants were stressed. Logistic regression results showed that gender and regular exercise were significantly associated with psychological distress. Additionally, chi-square test, logistic regression and linear regression showed that PSQI was significantly associated with K10 (P <0.01). Conclusions Stress and poor sleeping quality in medical students at the University of Jordan were highly prevalent and strongly associated. What determined PSQI was daytime napping, and for K10 were regular exercise and gender. Further investigations into stress and sleep quality in the Arabian region are needed.

scholarly journals The risk of diabetes after giving birth to a macrosomic infant: data from the NHANES cohort

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Corrie Miller ◽  
Eunjung Lim
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Surrogate Marker ◽  
Onset Time ◽  
Maternal Diabetes ◽  
Independent Effect ◽  
Chi Square ◽  
Complex Sampling ◽  
Chi Square Test

Abstract Aims Gestational diabetes (GDM) increases the risk of developing type 2 diabetes and thus warrants earlier and more frequent screening. Women who give birth to a macrosomic infant, as defined as a birthweight greater than 9 lbs. (or approximately 4000 g), are encouraged to also get early type 2 diabetes screening, as macrosomia may be a surrogate marker for GDM. This study investigates whether a macrosomic infant, as defined as 9lbs, apart from GDM, increases the risk for diabetes later in life. Methods Data on parous women from the National Health and Nutrition Examination Survey (NHANES) 2007–2016 were utilized. Rates of diabetes were compared in those with and without macrosomic infants in Rao-Scott’s chi-square test. Multiple logistic regression was used to test the independent effect of macrosomia on type 2 diabetes controlling for the confounding covariates and adjusting for the complex sampling design. To investigate how onset time affects diabetes, we implemented Cox proportional hazard regressions on time to have diabetes. Results Among 10,089 parous women, macrosomia significantly increased the risk of maternal diabetes later in life in the chi-square test and logistic regression. Independent of GDM, women who deliver a macrosomic infant have a 20% higher chance of developing diabetes compared to women who did not. The expected hazards of having type 2 diabetes is 1.66 times higher in a woman with macrosomic infant compared to counterparts. Conclusions Women who gave birth to a macrosomic infant in the absence of GDM should be offered earlier and more frequent screening for type 2 diabetes.

scholarly journals Older Adults’ Adoption of Mobility Devices: Interplay of Predisposing Factors and Precipitating Health Events

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 484-485
Author(s):  
Farhanaz Sharmin ◽  
Laura Sands
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Chronic Conditions ◽  
High School Education ◽  
Living Alone ◽  
Mobility Limitations ◽  
Chi Square ◽  
Health Events ◽  
Mobility Devices ◽  
History Of

Abstract Existing mobility limitations and chronic conditions increase likelihood of adopting mobility-related devices such as canes and walkers. Prior research has not considered how recent acute events such as falls and hospitalizations contribute to the adoption of mobility devices. We studied 4,592 older adults who responded to the 2015 and 2016 National Health and Aging Trends Study surveys, and classified adoption of mobility devices as: (i) Never users (did not use mobility devices either year) and (ii) New users (started using mobility devices in 2016). We determined through chi-square tests, that predisposing characteristics from 2015 that were significantly associated with being a New User in 2016 were: being female, aged 80+, minority race, having a high-school education or lower, living alone, being obese, and having a history of dementia, arthritis, stroke, mobility difficulties, falls, and hospitalization (all P’s&lt;0.05). We used logistic regression to determine the contribution of recent precipitating events on the adoption of mobility devices among older adults after controlling for 2015 characteristics that were significantly associated with being a New user. Precipitating events were significantly associated with being a New user of mobility equipment. Specifically, older adults who, between the 2015 and 2016 interviews, experienced a fall (OR=1.7; 95% CI=1.1-2.9), hospitalization (OR=3.7; 95% CI=2.3-5.9) or increase in mobility difficulties (OR=3.7; 95% CI=2.3-5.9) were more likely to be New users. Study findings reveal the importance precipitating events on the adoption of mobility devices, signaling the importance of assessing for need for mobility devices after these events.

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