| 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 |
| 798 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - January 03, 2014 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| H. influenzae | 0.599719 |
| National Center | 0.514465 |
| Immunization | 0.352726 |
| viruses | 0.349685 |
| cases | 0.647312 |
| CDC | 0.506888 |
| Table | 0.349527 |
| novel influenza | 0.859802 |
| Total case counts | 0.675533 |
| serotypes | 0.349678 |
|
| ** Data | 0.563676 |
| Cumulative total E. | 0.695216 |
| measles case | 0.556878 |
| Influenza Division | 0.644543 |
| probable cases | 0.536165 |
| Respiratory Diseases | 0.520431 |
| ages | 0.349768 |
| rubella cases | 0.517375 |
| human infection | 0.541298 |
| influenza A virus | 0.696395 |
|
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| 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 |
| 7145 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Sweden |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
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| 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 |
| 9161 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH A-Z Index - C |
null |
| MPEG | 0.502478 |
| site | 0.37094 |
| PDF | 0.374179 |
| PPT | 0.576414 |
|
| email address | 0.737981 |
| DOC | 0.493605 |
| different file formats | 0.947299 |
|
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 |
| 11291 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: August 7, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| dol.gov | 0.339558 |
| emergency planning | 0.505099 |
| formal acclimatization program | 0.77532 |
| health insurance | 0.50847 |
| heat-related enforcement cases | 0.842685 |
| workplaces | 0.345141 |
| oversight | 0.339067 |
| heat-related illnesses | 0.670118 |
| hot environments. | 0.52016 |
| illness prevention program | 0.744014 |
| potential | 0.336223 |
| national Campaign | 0.511362 |
| employers | 0.377586 |
| primary risk factor | 0.683334 |
| shade | 0.377766 |
| Director | 0.339901 |
| Communications | 0.339514 |
| Affordable Care Act | 0.659686 |
| comprehensive programs | 0.504831 |
| water | 0.359652 |
| heat-related illness | 0.722044 |
| lack | 0.336843 |
| important role | 0.518432 |
| acclimatization requirements | 0.627234 |
| basic elements | 0.516607 |
|
| Heat exposure | 0.53927 |
| illness prevention programs | 0.749324 |
| HUMAN SERVICES | 0.504026 |
| receipt | 0.339541 |
| CDC Media Relations | 0.674256 |
| heat illness prevention | 0.998854 |
| Frank Meilinger | 0.543276 |
| hazard identification | 0.508177 |
| core elements | 0.5064 |
| OSHA Office | 0.584178 |
| Occupational Safety | 0.510286 |
| recommended preventive care | 0.805769 |
| health services | 0.517783 |
| U.S. DEPARTMENT | 0.495854 |
| work schedules | 0.506161 |
| acclimatization programs. | 0.613367 |
| workers | 0.397552 |
| clinical preventive services | 0.803838 |
| rest | 0.341333 |
| Health Administration | 0.524712 |
| heat-related fatalities | 0.74055 |
| heat fatalities | 0.611273 |
| people | 0.364507 |
| preventive services | 0.90551 |
|
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| 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 |
|
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| 16067 |
Centers for Disease Control and Prevention |
Html |
en |
Diabetes: What's Insulin Resistance Got To Do with It? |
null |
| excess glucose | 0.479217 |
| bad news | 0.379517 |
| health care provider | 0.55361 |
| glucose levels | 0.545967 |
| body | 0.416827 |
| type | 0.406583 |
| it—regulates blood sugar | 0.441742 |
| pancreas | 0.37774 |
| Important note | 0.368898 |
| cholesterol | 0.329167 |
| Invisible changes | 0.384062 |
| important unseen changes | 0.457187 |
| high points | 0.383319 |
| energy | 0.33272 |
| high LDL | 0.374933 |
| low HDL | 0.376294 |
| liver | 0.373922 |
| fat cells | 0.389362 |
| Prediabetes | 0.326562 |
| body attacks | 0.370601 |
| Diabetes Tips | 0.409548 |
| blood glucose | 0.465338 |
| insulin | 0.969491 |
| weight gain | 0.373073 |
|
| high blood sugar | 0.41753 |
| opposite—more insulin | 0.507301 |
| vital hormone—you | 0.38117 |
| good news | 0.38073 |
| lifestyle changes | 0.366828 |
| CDC Diabetes | 0.407113 |
| insulin resistance | 0.90575 |
| overweight | 0.33122 |
| high glucose levels | 0.530343 |
| glucose | 0.764797 |
| key player | 0.387897 |
| autoimmune reaction | 0.373755 |
| good health | 0.364494 |
| Lower insulin levels | 0.59004 |
| bloodstream decrease | 0.401013 |
| Weight loss | 0.367963 |
| high triglycerides | 0.375716 |
| physical activity | 0.441496 |
| diabetes management | 0.407212 |
| family history | 0.373749 |
| risk | 0.351245 |
| blood sugar | 0.442858 |
| diabetes | 0.551735 |
| Diabetes Translation | 0.405109 |
|
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