| 654 |
Centers for Disease Control and Prevention |
Html |
en |
Adult Data - Smoking & Tobacco Use |
null |
| State-Specific Prevalence | 0.402422 |
| State-Specific Smoking-Attributable Mortality | 0.206704 |
| Vital Signs | 0.257476 |
| United States | 0.348337 |
| Smoking Cessation—United States | 0.231607 |
| Current Cigarette Smoking | 0.775173 |
| States | 0.549928 |
| Mental Illness—United States | 0.202395 |
| Cigarette Smoking | 0.985742 |
| Tobacco-Dependence Treatments—United States | 0.261844 |
| State-Specific Secondhand Smoke | 0.202416 |
| Adults—United States | 0.475992 |
|
| Adult Cigarette Smoking—United | 0.225892 |
| Years—United States | 0.233455 |
| Early Release | 0.214022 |
| Adult Cigarette Smokers | 0.240365 |
| State Medicaid Coverage | 0.267962 |
| Adult Cigarette Smoking | 0.282531 |
| No. | 0.738582 |
| Cigarette Smoking—United States | 0.307982 |
| Vol. | 0.826501 |
| Smoking Prevalence—New York | 0.217652 |
| Smokeless Tobacco | 0.201989 |
| Urban-Rural County Classification | 0.205208 |
|
CLICK HERE |
| 1157 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Trichinellosis Caused by Consumptionof Wild Boar Meat - Illinois, 2013 |
Yoran Grant Greene, PhD1,2, Thomas Padovani3, Jo Ann Rudroff4, Rebecca Hall, MPH5, Connie Austin, DVM, PhD2, Michael Vernon, DrPH2 (Author affiliations at end of text). |
| Public Health | 0.840886 |
| Missouri ranch | 0.647747 |
| uncooked swill | 0.63578 |
| United States | 0.620268 |
| Senior Services | 0.749078 |
| U.S. Government Printing | 0.71974 |
| original MMWR paper | 0.710359 |
| symptom onset | 0.627877 |
| Human Services | 0.723602 |
| Trichinella larvae | 0.701483 |
| sausage | 0.64724 |
| patient serum | 0.640013 |
| clinical characteristics | 0.638275 |
| U.S. Department | 0.802338 |
| cooking game meat | 0.783926 |
| MMWR HTML versions | 0.713459 |
| MMWR readers | 0.621557 |
| reportable disease registries | 0.774982 |
| positive serology | 0.633197 |
| Illinois health departments | 0.785366 |
| periorbital edema | 0.625044 |
| additional education | 0.621569 |
| Illinois Department | 0.75384 |
| electronic PDF version | 0.710799 |
|
| deer meat | 0.943081 |
| index patient | 0.636479 |
| public awareness | 0.626135 |
| hunting patrons | 0.621364 |
| undercooked infected meat | 0.862652 |
| additional cases | 0.751068 |
| family members | 0.728416 |
| undercooked game meat | 0.811578 |
| Trichinella ingestion | 0.685001 |
| boar meat | 0.712046 |
| median age | 0.640076 |
| Trichinellosis cases | 0.706538 |
| Patient interviews | 0.636586 |
| Contact GPO | 0.63336 |
| electronic disease registries | 0.742963 |
| positive serologic test | 0.730908 |
| Missouri Department | 0.751694 |
| omnivorous animals | 0.649854 |
| wild boar | 0.778969 |
| Cook County Department | 0.782525 |
| original paper copy | 0.708239 |
| enzyme-linked immunosorbent assay | 0.740282 |
| median incubation period | 0.743294 |
|
CLICK HERE |
| 8659 |
Centers for Disease Control and Prevention |
Html |
en |
Swimmer's Ear - Recreational Water Illness (RWI) - Healthy Swimming & Recreational Water - Healthy Water |
null |
|
|
CLICK HERE |
| 8757 |
Centers for Disease Control and Prevention |
Html |
en |
Testing for HCV Infection: An Update of Guidance for Clinicians and Laboratorians |
In the United States, an estimated 4.1 million persons have been infected with hepatitis C virus (HCV), of whom an estimated 3.2 (95% confidence interval [CI] = 2. |
| HCV treatment | 0.340126 |
| HCV RNA | 0.607519 |
| HCV replication | 0.33947 |
| hcv antibody | 0.927881 |
| one-time HCV testing | 0.398585 |
| HCV infection | 0.671673 |
| HCV RNA testing | 0.440792 |
| HCV antibody testing | 0.428597 |
| HCV Rapid Antibody | 0.50805 |
| false HCV antibody | 0.433275 |
| HCV testing | 0.420575 |
| HCV viremia | 0.408782 |
| hepatitis C virus | 0.207966 |
| laboratory-conducted HCV antibody | 0.419035 |
| HCV disease | 0.34105 |
| Rapid Antibody Test | 0.250101 |
| HCV antibody test | 0.475368 |
|
| biologic false positivity | 0.244164 |
| HCV Symposium | 0.316028 |
| HCV antibody result | 0.435718 |
| chronic HCV infection | 0.384617 |
| initial HCV antibody | 0.464776 |
| HCV RNA positivity | 0.35791 |
| OraQuick HCV Rapid | 0.443228 |
| past HCV infection | 0.475295 |
| HCV antibody assay | 0.390447 |
| HCV antibody positivity | 0.446609 |
| current HCV infection | 0.571819 |
| Repeat HCV RNA | 0.334659 |
| commercial HCV antibody | 0.442119 |
| nonreactive HCV antibody | 0.4332 |
| Chiron RIBA HCV | 0.353914 |
| HCV NAT | 0.348381 |
|
CLICK HERE |
| 9334 |
Centers for Disease Control and Prevention |
Html |
es |
Intención de buscar atención médica para los síntomas asociados a cánceres ginecológicos, Encuesta HealthStyles, 2008 |
null |
| cuáles sÃntomas | 0.903625 |
|
|
CLICK HERE |
| 9380 |
Centers for Disease Control and Prevention |
Html |
es |
Campaña antitabaco en los medios de comunicación y resultados de cesación del tabaquismo, estado de Nueva York, 2003-2009 |
CDC - Wide Page example description goes here |
| adultos fumadores | 0.445766 |
| NY TCP | 0.799403 |
| Nueva York | 0.917471 |
|
| Estados Unidos | 0.622278 |
| dÃa disminuyó | 0.440315 |
| mayores programas | 0.439117 |
|
CLICK HERE |
| 10026 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Weight: Caloric Balance | DNPAO | CDC |
null |
| caloric deficit. | 0.56427 |
| personal views | 0.549815 |
| recommended weight | 0.561823 |
| extra calories | 0.740777 |
| modest weight loss | 0.588511 |
| caloric balance status | 0.624983 |
| portion size pitfalls | 0.572556 |
| low-fat foods | 0.575681 |
| fewer calories | 0.742455 |
| body weight | 0.656306 |
| number | 0.565794 |
| major muscle groups | 0.577395 |
| ideal weight | 0.566718 |
| total body weight | 0.598394 |
| body fat,1 | 0.553741 |
| Weight Gain | 0.559701 |
| moderate-intensity aerobic activity | 0.585664 |
| expert perspectives | 0.548081 |
| weight | 0.781112 |
| activity level | 0.55234 |
| Versus Regular Calorie | 0.595533 |
| Physical Activity Diary | 0.588558 |
| nutrition facts food | 0.677764 |
| health benefits | 0.5816 |
| different components | 0.549675 |
|
| normal body functions | 0.591993 |
| main message | 0.549497 |
| Weight management | 0.568124 |
| caloric excess. | 0.564629 |
| Healthy Weight | 0.553787 |
| energy balance | 0.561708 |
| caloric balance | 0.725358 |
| fat storage cells | 0.582164 |
| control body weight | 0.602135 |
| daily activities | 0.586201 |
| calorie deficit | 0.560404 |
| better drink choices | 0.574211 |
| weight control | 0.553814 |
| Gaining weight | 0.562642 |
| diet | 0.55663 |
| activity plan | 0.549407 |
| calorie content | 0.589371 |
| calories | 0.923952 |
| physical activity | 0.797332 |
| facts food label | 0.67545 |
| Health Matters | 0.548775 |
| bigger picture | 0.549781 |
| gain weight | 0.599505 |
| diet focus | 0.551338 |
|
CLICK HERE |
| 13060 |
Centers for Disease Control and Prevention |
Html |
en |
Multidrug-resistant Shigellosis Spreading in the United States |
International travelers are bringing a multidrug-resistant intestinal illness to the United States and spreading it to others who have not traveled, according to a report released today by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.604782 |
| antibiotic-resistant diarrhea infections | 0.601938 |
| San Francisco Department | 0.517533 |
| bismuth subsalicylate | 0.516286 |
| Antimicrobial Resistance Monitoring | 0.52546 |
| homeless people | 0.474296 |
| Shigella resistance | 0.578511 |
| single-room occupancy hotels | 0.515285 |
| PulseNet lab network | 0.519591 |
| troubling trend | 0.469679 |
| Disease Control | 0.475439 |
| Health care providers | 0.512284 |
| drug-resistant Shigella | 0.581936 |
| PulseNet cases | 0.470819 |
| multidrug-resistant intestinal illness | 0.533903 |
| Cipro-resistant Shigella | 0.555112 |
| shigellosis | 0.539905 |
| resistant bacteria | 0.470085 |
| CDC Director Tom | 0.568086 |
| recent clusters | 0.534643 |
| public health partners | 0.533304 |
| diarrhea | 0.602931 |
| national strategy | 0.467424 |
| ill travelers | 0.491527 |
| real concern. | 0.468876 |
|
| uncommon genetic fingerprint | 0.518348 |
| antibiotics | 0.524358 |
| Shigella | 0.77606 |
| Puerto Rico | 0.469778 |
| United States | 0.920494 |
| Shigella sonnei bacteria | 0.653659 |
| Shigella sonnei infections | 0.630629 |
| common infections | 0.482326 |
| Cipro resistance | 0.49257 |
| Shigella infections | 0.632346 |
| antibiotic resistance | 0.532291 |
| Shigella transmission | 0.548647 |
| public health | 0.534503 |
| re-test stool | 0.468213 |
| cases | 0.496526 |
| drug-resistant illness | 0.486391 |
| Drug-resistant infections | 0.497874 |
| download CDC | 0.495356 |
| people | 0.52703 |
| bloody diarrhea | 0.521324 |
| antibiotic ciprofloxacin | 0.485165 |
| international travelers | 0.54847 |
| Waterborne Diseases Prevention | 0.521134 |
| childcare facilities | 0.46968 |
|
CLICK HERE |
| 13693 |
Centers for Disease Control and Prevention |
Html |
en |
Seven Things You May Not Know about Women's Health | CDC Features |
Learn about lesser-known women's health diseases and conditions and what to do. |
| opioid abuse | 0.464883 |
| prescription opioid overdose | 0.594535 |
| menstrual period | 0.467319 |
| Basic prevention steps | 0.535211 |
| heavy menstrual bleeding | 0.899159 |
| possible causes | 0.445648 |
| married women ages | 0.611932 |
| health issues | 0.47057 |
| Bacterial vaginosis | 0.436965 |
| additional care | 0.439851 |
| chronic health outcomes | 0.531837 |
| Trafficking Victims Protection | 0.562203 |
| overdose deaths | 0.450581 |
| common vaginal infection | 0.539007 |
| women ages | 0.700508 |
| opioid pain relievers | 0.573546 |
| Pap test | 0.442296 |
| tobacco smoke | 0.436838 |
| American women | 0.511136 |
| reproductive technology | 0.540381 |
| fertility treatments | 0.431858 |
| sexually transmitted diseases | 0.551836 |
| specific needs | 0.44226 |
| certain activities | 0.438272 |
| long term | 0.4257 |
|
| commercial sex act | 0.540565 |
| unprotected sex | 0.455513 |
| women | 0.92629 |
| sexually active women | 0.597783 |
| sex partners | 0.438214 |
| ART treatment | 0.434864 |
| African Americans | 0.453093 |
| asthma triggers | 0.608232 |
| regular health screenings | 0.565305 |
| longer time periods | 0.532679 |
| BV | 0.448495 |
| excessive alcohol | 0.434406 |
| marital status | 0.438417 |
| infertility treatment | 0.448703 |
| sex trafficking | 0.548349 |
| health resources | 0.446396 |
| common cause | 0.435475 |
| asthma action plan | 0.623618 |
| Older adults | 0.450749 |
| public health problem | 0.545777 |
| certain bacteria | 0.425363 |
| general health care | 0.566623 |
| relationship problems | 0.425576 |
| air pollution | 0.443678 |
|
CLICK HERE |
| 15307 |
Centers for Disease Control and Prevention |
Html |
en |
Flu Vaccination Coverage by High-Risk Conditions, Adults, BRFSS |
Seasonal influenza vaccination coverage by high-risk conditions, adults 18-64 years, United States, BRFSS 2011-12 through 2013-14 Influenza Seasons - CDC |
| following conditions | 0.29184 |
| skin cancer | 0.481793 |
| high-risk medical conditions | 0.546498 |
| Additional information | 0.298653 |
| United States | 0.297372 |
| influenza vaccination coverage | 0.921452 |
| South Dakota | 0.291456 |
|
| flu complications | 0.334442 |
| flu vaccination coverage | 0.589676 |
| interviews | 0.235706 |
| heart disease | 0.478658 |
| high risk | 0.327723 |
| 2013-14 influenza season | 0.586051 |
| Influenza Seasons | 0.385789 |
|
CLICK HERE |