Klebsiella Rhinoscleromatis: A Clinical and Pathogenic Enigma

1979 ◽  
Vol 87 (2) ◽  
pp. 212-221 ◽  
Author(s):  
Robert H. Miller ◽  
Joel B. Shulman ◽  
Rinaldo F. Canalis ◽  
Paul H. Ward
Keyword(s):  
Infectious Disease ◽  
United States ◽  
Respiratory Tract ◽  
The United States ◽  
Comprehensive Review ◽  
Endemic Areas ◽  
Clinical Experiment

Rhinoscleroma is a chronic, slowly progressive, infectious disease of the respiratory tract that can produce disability and death, if untreated. Once considered an anomaly in the United States, the disease is now seen more frequently in this country, owing to increased travel from endemic areas. This report presents a comprehensive review of the several types of therapy that have been published in the literature. The results of a clinical experiment are also presented.

Clinical Characteristics of Patients Diagnosed with Strongyloidiasis in a United States Urban Outpatient Dermatology Department: A Case Series

2017 ◽  
Vol 1 (3) ◽  
pp. 156-160
Author(s):  
Jacqueline Watchmaker ◽  
Sean Legler ◽  
Dianne De Leon ◽  
Vanessa Pascoe ◽  
Robert Stavert
Keyword(s):  
United States ◽  
Case Series ◽  
The United States ◽  
Screening Tools ◽  
Dermatology Department ◽  
Cutaneous Manifestations ◽  
Serologic Testing ◽  
Patient Reported ◽  
History Of ◽  
Endemic Areas

Background: Although considered a tropical disease, strongyloidiasis may be encountered in non-endemic regions, primarily amongst immigrants and travelers from endemic areas.  Chronic strongyloides infection may be under-detected owing to its non-specific cutaneous presentation and the low sensitivity of commonly used screening tools. Methods: 18 consecutive patients with serologic evidence of strongyloides infestation who presented to a single urban, academic dermatology clinic between September 2013 and October 2016 were retrospectively included.  Patient age, sex, country of origin, strongyloides serology titer, absolute eosinophil count, presenting cutaneous manifestations, and patient reported subjective outcome of pruritus after treatment were obtained via chart review.  Results: Of the 18 patients, all had non-specific pruritic dermatoses, 36% had documented eosinophila and none were originally from the United States. A majority reported subjective improvement in their symptoms after treatment. Conclusion:  Strongyloides infection and serologic testing should be considered in patients living in non-endemic regions presenting with pruritic dermatoses and with a history of exposure to an endemic area.Key Points:Chronic strongyloidiasis can be encountered in non-endemic areas and clinical manifestations are variableEosinophilia was not a reliable indicator of chronic infection in this case series Dermatologists should consider serologic testing for strongyloidiasis in patients with a history of exposure and unexplained pruritus

scholarly journals Estimating the infectious disease risks associated with drinking water in the United States

2006 ◽  
Vol 4 (S2) ◽  
pp. 1-2 ◽  
Author(s):  
Rebecca L. Calderon ◽  
Gunther Craun ◽  
Deborah A. Levy
Keyword(s):  
Infectious Disease ◽  
United States ◽  
Drinking Water ◽  
The United States ◽  
Disease Risks

Neurocysticercosis: Report of Unusual Pediatric Cases

PEDIATRICS ◽  
1996 ◽  
Vol 98 (5) ◽  
pp. 974-977
Author(s):  
Julie Kim Stamos ◽  
Anne H. Rowley ◽  
Yoon S. Hahn ◽  
Ellen Gould Chadwick ◽  
Peter M. Schsntz ◽  
...  
Keyword(s):  
United States ◽  
Latin America ◽  
Young Children ◽  
Incubation Period ◽  
Endemic Area ◽  
Close Contact ◽  
The United States ◽  
Prolonged Incubation ◽  
Endemic Areas ◽  
Infants And Young Children

Cysticercosis is widely endemic in Latin America, Asia, and Africa. The incidence of cysticercosis has been increasing in the United States during the last decade.1 Although an infection still seen primarily in immigrants, it has been reported in increasing numbers in individuals who have close contact with persons who have resided in endemic areas.2 Only 6 cases of cysticercosis in children born in the United States have been reported; in 3 of these cases, the parents were from or had traveled to an endemic area and Taenia ova were recovered from the stools of the parent(s).1,3-6 Because of the prolonged incubation period, cases are rarely seen in infants and young children.4

scholarly journals Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation

10.2196/26719 ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e26719
Author(s):  
Kelly S Peterson ◽  
Julia Lewis ◽  
Olga V Patterson ◽  
Alec B Chapman ◽  
Daniel W Denhalter ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
United States ◽  
Text Processing ◽  
The United States ◽  
Language Models ◽  
Travel History ◽  
Patient Travel ◽  
Electronic Health ◽  
Automated Text Processing

Background Patient travel history can be crucial in evaluating evolving infectious disease events. Such information can be challenging to acquire in electronic health records, as it is often available only in unstructured text. Objective This study aims to assess the feasibility of annotating and automatically extracting travel history mentions from unstructured clinical documents in the Department of Veterans Affairs across disparate health care facilities and among millions of patients. Information about travel exposure augments existing surveillance applications for increased preparedness in responding quickly to public health threats. Methods Clinical documents related to arboviral disease were annotated following selection using a semiautomated bootstrapping process. Using annotated instances as training data, models were developed to extract from unstructured clinical text any mention of affirmed travel locations outside of the continental United States. Automated text processing models were evaluated, involving machine learning and neural language models for extraction accuracy. Results Among 4584 annotated instances, 2659 (58%) contained an affirmed mention of travel history, while 347 (7.6%) were negated. Interannotator agreement resulted in a document-level Cohen kappa of 0.776. Automated text processing accuracy (F1 85.6, 95% CI 82.5-87.9) and computational burden were acceptable such that the system can provide a rapid screen for public health events. Conclusions Automated extraction of patient travel history from clinical documents is feasible for enhanced passive surveillance public health systems. Without such a system, it would usually be necessary to manually review charts to identify recent travel or lack of travel, use an electronic health record that enforces travel history documentation, or ignore this potential source of information altogether. The development of this tool was initially motivated by emergent arboviral diseases. More recently, this system was used in the early phases of response to COVID-19 in the United States, although its utility was limited to a relatively brief window due to the rapid domestic spread of the virus. Such systems may aid future efforts to prevent and contain the spread of infectious diseases.

scholarly journals Modeling and analysis of COVID-19 new deaths using tree-based ensemble

2021 ◽  
Author(s):  
Ibrahim Abaker Targio Hashem ◽  
Raja Sher Afgun Usmani ◽  
Asad Ali Shah ◽  
Abdulwahab Ali Almazroi ◽  
Muhammad Bilal
Keyword(s):  
Infectious Disease ◽  
United States ◽  
Random Forest ◽  
Economic Activity ◽  
The United States ◽  
Gradient Boosting ◽  
Health Crisis ◽  
Modeling And Analysis ◽  
Extreme Gradient Boosting ◽  
The World

The COVID-19 pandemic has emerged as the world's most serious health crisis, affecting millions of people all over the world. The majority of nations have imposed nationwide curfews and reduced economic activity to combat the spread of this infectious disease. Governments are monitoring the situation and making critical decisions based on the daily number of new cases and deaths reported. Therefore, this study aims to predict the daily new deaths using four tree-based ensemble models i.e., Gradient Tree Boosting (GB), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Voting Regressor (VR) for the three most affected countries, which are the United States, Brazil, and India. The results showed that VR outperformed other models in predicting daily new deaths for all three countries. The predictions of daily new deaths made using VR for Brazil and India are very close to the actual new deaths, whereas the prediction of daily new deaths for the United States still needs to be improved.<br>

Revisiting the Need for an Infectious Disease Care Network in the United States

2021 ◽  
Vol 19 (2) ◽  
pp. 240-241
Author(s):  
Aurora B. Le ◽  
Jocelyn J. Herstein
Keyword(s):  
Infectious Disease ◽  
United States ◽  
The United States ◽  
Care Network
Sign in / Sign up

Export Citation Format

Share Document