Das LYDI-Sentinel (Lyme Disease Incidence) in den Jahren 2013 bis 2016

2018 ◽  
Author(s):  
S Heinzinger ◽  
A Sing ◽  
V Fingerle
Keyword(s):  
Lyme Disease ◽  
Disease Incidence

Changing Trends in Age and Sex Distributions of Lyme Disease—United States, 1992-2016

2021 ◽  
pp. 003335492110267
Author(s):  
Kiersten J. Kugeler ◽  
Paul S. Mead ◽  
Amy M. Schwartz ◽  
Alison F. Hinckley
Keyword(s):  
United States ◽  
Lyme Disease ◽  
Disease Incidence ◽  
Age Distribution ◽  
Relative Size ◽  
The United States ◽  
Male Predominance ◽  
Age Related ◽  
Over Time ◽  
Age And Sex

Lyme disease is the most common vector-borne disease in the United States and is characterized by a bimodal age distribution and male predominance. We examined trends in reported cases during a 25-year period to describe changes in the populations most affected by Lyme disease in the United States. We examined demographic characteristics of people with confirmed cases of Lyme disease reported to the Centers for Disease Control and Prevention during 1992-2016 through the National Notifiable Diseases Surveillance System. We grouped cases into 5-year periods (1992-1996, 1997-2001, 2002-2006, 2007-2011, 2012-2016). We calculated the average annual incidence by age and sex and used incidence rate ratios (IRRs) to describe changes in Lyme disease incidence by age and sex over time. We converted patient age at time of illness into patient birth year to ascertain disease patterns according to birth cohorts. The incidence of Lyme disease in the United States doubled from 1992-1996 to 2012-2016 (IRR = 1.74; 95% CI, 1.70-1.78) and increased disproportionately among males; IRRs were 39%-89% higher among males than among females for most age groups. During the study period, children aged 5-9 years were most frequently and consistently affected. In contrast, the average age of adults with Lyme disease increased over time; of all adults, people born during 1950-1964 were the most affected by Lyme disease. Our findings suggest that age-related behaviors and susceptibilities may drive infections among children, and the shifting peak among adults likely reflects a probability proportional to the relative size of the baby boom population. These findings can inform targeted and efficient public health education and intervention efforts.

scholarly journals Seasonality of Acute Lyme Disease in Children

2021 ◽  
Vol 6 (4) ◽  
pp. 196
Author(s):  
Kathryn M. Sundheim ◽  
Michael N. Levas ◽  
Fran Balamuth ◽  
Amy D. Thompson ◽  
Desiree N. Neville ◽  
...  
Keyword(s):  
Lyme Disease ◽  
Regression Models ◽  
Disease Incidence ◽  
Erythema Migrans ◽  
The United States ◽  
Lyme Arthritis ◽  
Cranial Neuropathy ◽  
Acute Arthritis ◽  
Presenting Symptoms ◽  
Fourier Regression

Due to the life cycle of its vector, Lyme disease has known seasonal variation. However, investigations focused on children have been limited. Our objective was to evaluate the seasonality of pediatric Lyme disease in three endemic regions in the United States. We enrolled children presenting to one of eight Pedi Lyme Net participating emergency departments. Cases were classified based on presenting symptoms: early (single erythema migrans (EM) lesion), early-disseminated (multiple EM lesions, headache, cranial neuropathy, or carditis), or late (arthritis). We defined a case of Lyme disease by the presence of an EM lesion or a positive two-tier Lyme disease serology. To measure seasonal variability, we estimated Fourier regression models to capture cyclical patterns in Lyme disease incidence. While most children with early or early-disseminated Lyme disease presented during the summer months, children with Lyme arthritis presented throughout the year. Clinicians should consider Lyme disease when evaluating children with acute arthritis throughout the year.

scholarly journals A determination of the spatial concordance between Lyme disease incidence and habitat probability of its primary vector Ixodes scapularis (black-legged tick)

2014 ◽  
Vol 9 (1) ◽  
pp. 203 ◽  
Author(s):  
Samuel F. Atkinson ◽  
Sahotra Sarkar ◽  
Aldo Aviña ◽  
Jim A. Schuermann ◽  
Phillip Williamson
Keyword(s):  
Lyme Disease ◽  
Ixodes Scapularis ◽  
Disease Incidence ◽  
Spatial Concordance ◽  
Primary Vector

Can Google Trends data improve forecasting of Lyme disease incidence?

2018 ◽  
Vol 66 (1) ◽  
pp. 101-107 ◽  
Author(s):  
Máté Kapitány-Fövény ◽  
Tamás Ferenci ◽  
Zita Sulyok ◽  
Josua Kegele ◽  
Hardy Richter ◽  
...  
Keyword(s):  
Lyme Disease ◽  
Disease Incidence ◽  
Google Trends

scholarly journals Impact of prior and projected climate change on US Lyme disease incidence

2020 ◽  
Author(s):  
Lisa I. Couper ◽  
Andrew J. MacDonald ◽  
Erin A. Mordecai
Keyword(s):  
Climate Change ◽  
Lyme Disease ◽  
Disease Incidence
Sign in / Sign up

Export Citation Format

Share Document