The development of public health in Latin America during the 20th century combined, early on, the social medicine framework on the social, political, and environmental origins of disease with the contributions of medical anthropological fieldwork. Despite the hegemony of the medical model, the surge of the preventive medicine framework further legitimized the involvement of social scientists in the study of the multicausality of disease. However, the limitations brought by the preventive medicine model\'s lack of historical and political contextualization gave way to the Latin American social medicine movement, which was grounded in historical materialism, and the development of both critical epidemiology and critical medical anthropology.
Desde o início, a evolução da saúde pública na América Latina ao longo do século XX combinou o marco teórico da medicina social sobre as origens sociais, políticas e ambientais das doenças com as contribuições derivadas do trabalho de campo da antropologia médica. Apesar da hegemonia do modelo médico, o surgimento do modelo de medicina preventiva legitimou ainda mais a participação dos cientistas sociais no estudo da multicausalidade das doenças. Entretanto, as limitações causadas pela falta de contextualização histórica e política do modelo de medicina preventiva abriram espaço para o movimento latino-americano de medicina social, fundamentado no materialismo histórico, e para o desenvolvimento da epidemiologia crítica e da antropologia médica crítica.

Lymphatic filariasis is a neglected tropical disease that affects the lymphatic system of humans. The major etiologic agent is a nematode called Wuchereria bancrofti, but Brugia malayi and Brugia timoriare sometimes encountered as causative agents. Mosquitoes are the vectors while humans the definitive hosts respectively. The burden of the disease is heavier in Nigeria than in other endemic countries in Africa. This occurs with increasing morbidity and mortality at different locations within the country, the World Health Organization recommended treatments for lymphatic filariasis include the use of Albendazole (400mg) twice per year in co-endemic areas with loa loa, Ivermectin (200mcg/kg) in combination with Albendazole (400mg) in areas that are co-endemic with onchocerciasis, ivermectin (200mcg/kg) with diethylcarbamazine citrate (DEC) (6mg/kg) and albendazole (400mg) in areas without onchocerciasis. This paper covered a systematic review, meta-analysis, and scoping review on lymphatic filariasis in the respective geopolitical zones within the country. The literature used was obtained through online search engines including PubMed and Google Scholar with the heading \"lymphatic filariasis in the name of the state\", Nigeria. This review revealed an overall prevalence of 11.18% with regional spread of Northwest (1.59%), North Central and North East, (4.52%), South West (1.26%), and South-South with South East (3.81%) prevalence. The disease has been successfully eliminated in Argungu local government areas (LGAs) of Kebbi State, Plateau, and Nasarawa States respectively. Most clinical manifestations (31.12%) include hydrocele, lymphedema, elephantiasis, hernia, and dermatitis. Night blood samples are appropriate for microfilaria investigation. Sustained MDAs, the right testing methods, early treatment of infected cases, and vector control are useful for the elimination of lymphatic filariasis for morbidity management and disability prevention in the country. Regional control strategies, improved quality monitoring of surveys and intervention programs with proper records of morbidity and disability requiring intervention are important approaches for the timely elimination of the disease in Nigeria.

UNASSIGNED: Desmoid Tumors (DT) are rare neoplasms with higher incidence in younger women.
UNASSIGNED: Retrospective, single-center analysis of patients with DT. Variables were age, sex, biopsy, treatment and recurrence. The disease-free survival (DFS) was calculated with the Kaplan-Meier method.
UNASSIGNED: 242 patients were evaluated, mean age was 34 years, 70.7% women, 44.4% originated in the trunk/abdomen and 54.5% had size > 5cm. Surgery was performed in 70.2%, 31% with negative margin and only 57% with previous biopsy. Recurrence rate was 38% and 1,2,5-year DFS was 75.3%, 64.2%, 57.8%, respectively. Size (p = 0.018) and tumor location in the dorsum (p = 0.001), extremities (p = 0.003) and pelvis (p = 0.003) were related to higher relapse rate.
UNASSIGNED: our data reinforces the need to gather data from real world practice and the importance of awareness of DT and medical education about DT behavior and best approach due to the high rates of surgery and elevated number of patients treated without biopsy. Level of Evidence III; Retrospective Comparative Study.
UNASSIGNED: Os tumores desmóides (TD) são neoplasias raras com maior incidência em mulheres jovens.
UNASSIGNED: Trata-se de uma análise retrospectiva, em um único centro, de pacientes com TD. As variáveis foram idade, sexo, biópsia, tratamento e recorrência. A sobrevida livre de doença (SLD) foi calculada pelo método de Kaplan-Meier.
UNASSIGNED: Foram avaliados 242 pacientes, com idade média de 34 anos, 70,7% mulheres, 44,4% com origem no tronco/abdômen e 54,5% com tamanho > 5 cm. A cirurgia foi realizada em 70,2%, 31% com margem negativa e apenas 57% com biópsia prévia. A taxa de recorrência foi de 38% e a SLD de 1, 2 e 5 anos foi de 75,3%, 64,2% e 57,8%, respectivamente. O tamanho (p = 0,018) e a localização do tumor no dorso (p = 0,001), nas extremidades (p = 0,003) e na pelve (p = 0,003) foram relacionados a uma maior taxa de recidiva.
UNASSIGNED: Nossos dados reforçam a necessidade de coletar dados da prática do cenário real e a importância da conscientização da TD e da educação médica sobre o comportamento da TD e a melhor abordagem, devido às altas taxas de cirurgia e ao elevado número de pacientes tratados sem biópsia. Nível de Evidência III; Estudo Comparativo Retrospectivo.

UNASSIGNED: Obesity is a global health challenge due to its high prevalence and increased related morbidity and mortality. Accordingly, creating a platform to enter data on patients with obesity, treatment process and outcome is mandatory. The objective of this registry is to provide such a database regarding Iranian adults with obesity in order to facilitate future research designs and effective decision making to control this condition.
UNASSIGNED: After obtaining informed consent from eligible individuals, a practical questionnaire will be used to gather information about basic characteristics, family history, past medical history, regular medications, dietary intakes and other relevant information of adults with obesity. This data along with the results of laboratory tests, physical examination, and anthropometric measurements will be registered into the registry system by trained members of the team during an in-person visit. Patients will undergo a specific treatment plan based on the multidisciplinary medical team\'s decision. Then, changeable variables and the outcomes of their treatment process will be registered later in the follow-up sessions.
UNASSIGNED: This registry aims to provide a comprehensive dataset on the epidemiology, outcomes and management process of obesity to serve as a foundation for later research projects and improve medical approaches toward this condition.

UNASSIGNED: In an individual, the development and severity of Non-Communicable Diseases (NCDs) are determined by the presence or absence of clustering of NCD risk factors in them. We aimed to determine the prevalence and the factors associated with clustering of risk factors of NCDs in the district of Puducherry in India.
UNASSIGNED: We conducted a community-based cross-sectional survey among the adult population (18-69 years) of Puducherry district (N = 1114) between February 2019 and February 2020. Ten risk factors of NCDs (behavioral, physical measurements and biochemical) were assessed. Individuals having ≥ 3 risk factors were regarded as having clustering of risk factors. Categorical variables are summarized using proportions (95% CI). Adjusted prevalence ratio was estimated using weighted forward stepwise generalized linear modelling.
UNASSIGNED: Clustering of NCD risk factors was present in majority (95.2%, 95% CI: 93.8-96.3) of the population. The presence of clustering was significantly higher among women (97.1%, 95% CI: 95.9-98.3) and the urban population (97.2%, 95% CI: 96.1-98.3). The risk factors that primarily drove the high prevalence of clustering were raised salt intake and inadequate intake for fruits and vegetables in nine out of 10 people in the district. Nearly 1 in 10 (13.3%, 95% CI: 11.3-15.3), 1 in 5 (21.5%, 95% CI: 19.1-23.8) and 1 in 4 (26.8%, 95% CI: 24.1-29.4) participants had three, four and five risk factors, respectively.
UNASSIGNED: We highlight the urgent need for population-based health promotion interventions in the district of Puducherry targeting the highly prevalent NCD risk factors, especially among the women and urban populations.

UNASSIGNED: Obesity is a chronic low-grade inflammatory condition with increasing global prevalence and is associated with cardiovascular diseases. In this study, we aimed to investigate the prevalence of obesity in the Tehran cohort study (TeCS) population.
UNASSIGNED: We used the data collected by systematic random sampling during the recruitment phase of TeCS. The data comprised 4215 households from all districts of the Tehran metropolis, from which 8296 adults aged ≥ 35 years participated between May 2016 and February 2019. Sociodemographic data, medical history, laboratory tests, and anthropometric measurements were gathered from the participants. Participants with missing data were excluded from the final analysis. Finally, the data was analyzed using SPSS version 23, and distribution maps were created by Stata 14.2.
UNASSIGNED: A total of 8211 participants (53.9% women) with an average age of 53.7 ± 12.6 years were studied. The age-weighted prevalence of overweight and obese among women was (37.5% [95% confidence interval (CI): 34.5, 40.6] and 35.5% [95% CI: 32.6 -38.6]) compared to men (47% [95% CI: 43.6, 50.3] and 22.9% [95% CI: 20.1 -25.8]). The prevalence of substantially increased risk of metabolic complications (SIRMC) based on waist circumference (WC) and waist-to-hip ratio (WHR) was 49.2% (95% CI: 46.3 -52.2) and 75.5% (95% CI: 72.7 -78.1) respectively.
UNASSIGNED: The prevalence of obesity in Tehran (29.3%) was much higher than in previous reports, particularly among older people, women, and socioeconomically underdeveloped districts. After age 55, more than 80% of women had SIRMC compared to 30% of men.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s40200-023-01365-4.

Leptospirosis is a bacterial disease that affects both humans and animals worldwide. Currently, a positional war is ongoing in Ukraine, and the military is encountering a significant number of rodents in trenches and dugouts, which are known reservoirs for Leptospira, the causative agent of leptospirosis-a potentially dangerous infectious disease with a high mortality rate. The civilian population is also at potential risk of leptospirosis. The destruction of the Kakhovka Dam on June 6, 2023, has led to widespread devastation and human suffering. In the short term, there is a significant risk of rodent-borne diseases such as leptospirosis. We utilized data from the Ukrainian Centre for Disease Prevention Control and observed a substantial increase in prevalence in 2023. The notification rate in Ukraine in 2023 was 1.06 per 100,000 persons, which is higher than that of other countries in the European Union. Particular attention is being given to Zakarpattia Oblast, located on the western border of Ukraine, which shares boundaries with Romania, Hungary, Poland, and Slovakia, with an extremely high incidence rate of 12.08 per 100,000 persons. Based on these findings, we recommend education and awareness campaigns, vaccination, personal protective measures, and improved surveillance to address the increasing incidence of leptospirosis in Ukraine.

UNASSIGNED: We investigated the temporal trends and examined age-, period-, and cohort-specific effects of injury-related deaths among residents in Jiangsu to provide evidence for future injury prevention.
UNASSIGNED: This study included 406,936 injury deaths from the Jiangsu provincial population death registration system. The average annual percent change (AAPC) in age-standardized mortality rates (ASMRs) was analyzed using joinpoint regression. Age-period-cohort models were generated to explore the effects of age, period, and birth cohort effects on mortality risk.
UNASSIGNED: ASMRs for all injuries (AAPC = -2.3%), road traffic accidents (AAPC = -5.3%), suicide (AAPC = -3.8%), and drowning (AAPC = -3.9%) showed a downward trend during 2012-2021(all p < 0.05), while unintentional falls showed an upward trend (AAPC = 5.1%, p < 0.05). From 2012 to 2021, the age-standardized mortality rates (ASMRs) for four primary types of injuries consistently exhibited higher among males compared to females, with rural regions displaying higher ASMRs than urban areas. Trends in ASMRs for road traffic accidents, drowning, and unintentional falls by sex and urban/rural areas were consistent with overall trends. Significant age, cohort, and period effects were identified in the trends of injury-related deaths for both sexes in Jiangsu. The age effect showed that the highest age effect for injury-related deaths was for the ages of 85 years and above, except for suicide, which was for the ages 80-84 years. Between 2012 and 2021, the period effect on road traffic accidents declined, while that on accidental falls increased. Initially, the period effect on suicide decreased but then rose, peaking in 2012 with a Relative Risk (RR) of 1.11 (95% CI: 1.04-1.19). Similarly, the period effect on drowning initially declined before rising, with the highest effect observed in 2013, at an RR of 1.12 (95% CI: 1.07-1.19). The highest cohort effects for road traffic accidents were observed in the 1957-1961 group, for accidental falls in the 1952-1956 group, and for both drowning and suicide in the 1927-1931 group.
UNASSIGNED: The mortality rate of unintentional falls has been increasing. Older adults are at high risk for the four leading injuries. The improvements in mortality rates can be attributed to advancements in education, urbanization, and the promulgation and implementation of laws and policies.

COVID-19 surveillance across the U.S. is essential to tracking and mitigating the pandemic, but data representing cases and deaths may be impacted by attribute, spatial, and temporal uncertainties. COVID-19 case and death data are essential to understanding the pandemic and serve as key inputs for prediction models that inform policy-decisions; consistent information across datasets is critical to ensuring coherent findings. We implement an exploratory data analytic approach to characterize, synthesize, and visualize spatial-temporal dimensions of uncertainty across commonly used datasets for case and death metrics (Johns Hopkins University, the New York Times, USAFacts, and 1Point3Acres). We scrutinize data consistency to assess where and when disagreements occur, potentially indicating underlying uncertainty. We observe differences in cumulative case and death rates to highlight discrepancies and identify spatial patterns. Data are assessed using pairwise agreement (Cohen\'s kappa) and agreement across all datasets (Fleiss\' kappa) to summarize changes over time. Findings suggest highest agreements between CDC, JHU, and NYT datasets. We find nine discrete type-components of information uncertainty for COVID-19 datasets reflecting various complex processes. Understanding processes and indicators of uncertainty in COVID-19 data reporting is especially relevant to public health professionals and policymakers to accurately understand and communicate information about the pandemic.

UNASSIGNED: This study aims to develop and validate machine learning models to predict proliferative lupus nephritis (PLN) occurrence, offering a reliable diagnostic alternative when renal biopsy is not feasible or safe.
UNASSIGNED: This study retrospectively analyzed clinical and laboratory data from patients diagnosed with SLE and renal involvement who underwent renal biopsy at West China Hospital of Sichuan University between 2011 and 2021. We randomly assigned 70% of the patients to a training cohort and the remaining 30% to a test cohort. Various machine learning models were constructed on the training cohort, including generalized linear models (e.g., logistic regression, least absolute shrinkage and selection operator, ridge regression, and elastic net), support vector machines (linear and radial basis kernel functions), and decision tree models (e.g., classical decision tree, conditional inference tree, and random forest). Diagnostic performance was evaluated using ROC curves, calibration curves, and DCA for both cohorts. Furthermore, different machine learning models were compared to identify key and shared features, aiming to screen for potential PLN diagnostic markers.
UNASSIGNED: Involving 1312 LN patients, with 780 PLN/NPLN cases analyzed. They were randomly divided into a training group (547 cases) and a testing group (233 cases). we developed nine machine learning models in the training group. Seven models demonstrated excellent discriminatory abilities in the testing cohort, random forest model showed the highest discriminatory ability (AUC: 0.880, 95% confidence interval(CI): 0.835-0.926). Logistic regression had the best calibration, while random forest exhibited the greatest clinical net benefit. By comparing features across various models, we confirmed the efficacy of traditional indicators like anti-dsDNA antibodies, complement levels, serum creatinine, and urinary red and white blood cells in predicting and distinguishing PLN. Additionally, we uncovered the potential value of previously controversial or underutilized indicators such as serum chloride, neutrophil percentage, serum cystatin C, hematocrit, urinary pH, blood routine red blood cells, and immunoglobulin M in predicting PLN.
UNASSIGNED: This study provides a comprehensive perspective on incorporating a broader range of biomarkers for diagnosing and predicting PLN. Additionally, it offers an ideal non-invasive diagnostic tool for SLE patients unable to undergo renal biopsy.