| 1044 |
Centers for Disease Control and Prevention |
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Counterfeit Drugs | CDC Features |
Counterfeit medications are common in some countries. These drugs may not be effective or may be harmful. When traveling overseas, bring all medications with you. |
| United States | 0.562903 |
| rules | 0.242424 |
| trip | 0.275662 |
| KB | 0.254626 |
| real brand-name | 0.418001 |
| Central Africa | 0.428979 |
| counterfeit antimalarial medications | 0.930684 |
| Counterfeit drugs | 0.746179 |
| World Health Organization | 0.599056 |
| drugs | 0.775793 |
| West | 0.244819 |
| Japan | 0.240855 |
| countries | 0.45253 |
|
| Counterfeit medicines | 0.774417 |
| chemical analysis | 0.404235 |
| way | 0.276147 |
| New Zealand | 0.40856 |
| generic drugs | 0.527004 |
| Counterfeit medications | 0.780344 |
| harmful ingredients | 0.438357 |
| chances | 0.247951 |
| European Union | 0.407925 |
| Travelers | 0.24764 |
| real thing | 0.553114 |
| Australia | 0.240886 |
|
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| 4934 |
Centers for Disease Control and Prevention |
Html |
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Adult Seat Belt Use in the US - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| car seat | 0.491797 |
| injuries | 0.440857 |
| good example | 0.425651 |
| Post information | 0.425889 |
| booster seat | 0.492455 |
| effective way | 0.457123 |
| air bag | 0.424678 |
| trip | 0.423104 |
| rural areas | 0.42702 |
| crash-related injury rates | 0.450586 |
| suburban areas | 0.426412 |
| Young adults | 0.428806 |
| added protection | 0.426878 |
| Support seat belt | 0.558783 |
| seat belt laws | 0.844955 |
| adult Americans | 0.4516 |
| Wear seat belts | 0.516671 |
| Air bags | 0.426484 |
| primary law | 0.448431 |
| safest spot | 0.425709 |
| primary enforcement seat | 0.700644 |
| Motor vehicle crashes | 0.510686 |
| secondary enforcement law | 0.450604 |
| company vehicles | 0.447689 |
| personal vehicles | 0.424406 |
|
| seat belts | 0.6106 |
| state troopers | 0.426023 |
| death | 0.418965 |
| primary seat belt | 0.60131 |
| adults | 0.457005 |
| company business | 0.424393 |
| car crashes | 0.431511 |
| adult drivers | 0.426895 |
| states | 0.43331 |
| active enforcement programs | 0.446151 |
| awareness campaigns | 0.425205 |
| big difference | 0.428864 |
| adult population | 0.444251 |
| police officer | 0.448751 |
| social norm | 0.42585 |
| emergency departments | 0.427811 |
| medical care | 0.424748 |
| people | 0.419334 |
| Adult seat belt | 0.590542 |
| visible police presence | 0.444959 |
| seat belt | 0.97081 |
| break rooms | 0.425317 |
| enforcement seat belt | 0.738779 |
| seat belt law | 0.609922 |
|
CLICK HERE |
| 6677 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: PCD RSS Feed |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| central location | 0.425837 |
| new feed | 0.434364 |
| Human Services | 0.41577 |
| Safari | 0.322078 |
| current versions | 0.422453 |
| Web content | 0.443197 |
| automatic updates | 0.439635 |
| U.S. Department | 0.415988 |
| download | 0.32018 |
| RSS news readers | 0.699855 |
| desktop | 0.323352 |
| journal | 0.319542 |
| Disease Control | 0.412644 |
| DMOZ | 0.327058 |
| RSS content | 0.71262 |
| RSS feed | 0.618333 |
| slightly different way | 0.517174 |
| small XML button | 0.50799 |
| built-in RSS readers | 0.708792 |
| browser | 0.343715 |
| easy way | 0.436612 |
| links | 0.320816 |
| List | 0.320057 |
| text | 0.320787 |
|
| e-mail messages | 0.430326 |
| New Channel | 0.408308 |
| PCD articles | 0.468715 |
| cases | 0.319751 |
| Paste | 0.321395 |
| aggregator | 0.324633 |
| format | 0.323742 |
| following link | 0.414837 |
| Firefox | 0.321886 |
| RSS reader | 0.935402 |
| Public Health Service | 0.509126 |
| affiliated institutions | 0.414902 |
| headlines | 0.366719 |
| news sources | 0.423118 |
| opinions | 0.334371 |
| Internet. Click | 0.422074 |
| page | 0.319494 |
| small software program | 0.531545 |
| Chronic Disease | 0.434122 |
| inbox | 0.328677 |
| latest feeds | 0.425299 |
| Simple Syndication | 0.445527 |
| XML code | 0.413338 |
|
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| 6829 |
Centers for Disease Control and Prevention |
Html |
en |
Breast Cancer Prevention |
You can help lower your risk of breast cancer in several ways. |
| oral contraceptives | 0.669448 |
| X-rays | 0.537708 |
| PET scans | 0.660538 |
| lifetime | 0.536218 |
| lower your risk | 0.703636 |
| Research | 0.528338 |
| body | 0.527281 |
| following ways— | 0.679117 |
| Exercise | 0.531535 |
| children | 0.527801 |
| alcoholic drinks | 0.68114 |
| course | 0.531604 |
| carcinogens | 0.544007 |
| chemicals | 0.548041 |
| normal function | 0.661925 |
| medical imaging tests | 0.788378 |
| Limit exposure | 0.68163 |
|
| breast cancer risk | 0.876745 |
| genes | 0.52828 |
| breast cancer | 0.978568 |
| healthy weight | 0.683751 |
| birth control pills | 0.792846 |
| risk factor | 0.66764 |
| nighttime sleep | 0.67983 |
| factors | 0.573977 |
| lack | 0.534007 |
| doctor | 0.552678 |
| risks | 0.527517 |
| chances | 0.535281 |
| radiation | 0.526917 |
| family history | 0.815484 |
| high risk | 0.646822 |
| hormone replacement therapy | 0.786092 |
| CT scans | 0.661322 |
|
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| 6888 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Outbreaks at Two Correctional Facilities - Maine,March 2011 |
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. |
| treatment courses | 0.408615 |
| reverse transcriptase–polymerase chain | 0.397409 |
| non-ill inmates | 0.426773 |
| influenza vaccination coverage | 0.465579 |
| Influenza Div | 0.392547 |
| annual influenza clinics | 0.423346 |
| Human Services | 0.40055 |
| correctional settings | 0.422837 |
| communicable disease outbreaks | 0.413812 |
| influenza B. Autopsy | 0.424685 |
| ill inmates | 0.478037 |
| state medical examiner | 0.415474 |
| positive influenza specimen | 0.437961 |
| symptomatic staff members | 0.398245 |
| routine influenza surveillance | 0.411074 |
| vaccination status | 0.469162 |
| correctional facilities | 0.636189 |
| prophylactic courses | 0.415697 |
| symptomatic inmates | 0.425593 |
| ill staff members | 0.40145 |
| comorbid medical conditions | 0.401414 |
| Facilities Pandemic Influenza | 0.427852 |
| intensive-care unit | 0.395179 |
| Maine CDC | 0.592725 |
|
| CMS | 0.394789 |
| screen inmates | 0.427135 |
| public health response | 0.464974 |
| Correctional Medical Services | 0.443796 |
| transcriptase–polymerase chain reaction | 0.397734 |
| influenza prophylaxis | 0.403614 |
| influenza | 0.629924 |
| influenza outbreaks | 0.462196 |
| asymptomatic inmates | 0.471377 |
| Correctional Medical Svcs | 0.391256 |
| Maine Dept | 0.394222 |
| inmates | 0.718618 |
| antiviral prophylaxis | 0.41498 |
| additional inmates | 0.438917 |
| public health | 0.570352 |
| asympotomatic inmates | 0.424441 |
| correction staff members | 0.39032 |
| influenza season | 0.42517 |
| staff members | 0.939011 |
| antiviral drugs | 0.670158 |
| routine influenza clinic | 0.426288 |
| real-time reverse transcriptase–polymerase | 0.397413 |
| influenza testing | 0.397844 |
| U.S. correctional facilities | 0.40365 |
|
CLICK HERE |
| 7132 |
Centers for Disease Control and Prevention |
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Global Health - Wallis & Futuna |
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 |
|
CLICK HERE |
| 12376 |
Centers for Disease Control and Prevention |
Image |
null |
A Snapshot: Blood Pressure in the U.S. (935W x 1912H) |
null |
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CLICK HERE |
| 13749 |
Centers for Disease Control and Prevention |
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Using Concept Mapping to Develop a Strategy for Self-Management Support for Underserved Populations Living With Chronic Conditions, British Columbia, August 2013–June 2014 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| health care provider | 0.528278 |
| SMS initiatives | 0.44962 |
| health equity | 0.508147 |
| chronic condition inequities | 0.449997 |
| shift government policy | 0.471735 |
| research team | 0.439009 |
| public health approaches | 0.456033 |
| strategic directions | 0.542847 |
| Health Authority | 0.463247 |
| chronic condition management | 0.556782 |
| concept mapping software | 0.55192 |
| chronic condition | 0.587328 |
| British Columbia | 0.92994 |
| ideas | 0.847203 |
| underserved populations | 0.474142 |
| incorporate client support | 0.479137 |
| public health dialogue | 0.514161 |
| SMS strategy | 0.558825 |
| SMS | 0.699712 |
| health care organizations | 0.445532 |
| populations | 0.691562 |
| health authorities | 0.526295 |
| enhance health care | 0.466626 |
| tailor SMS programs | 0.441084 |
| public health strategy | 0.478272 |
|
| client support systems | 0.486868 |
| self-management support | 0.656406 |
| Vancouver Native Health | 0.491215 |
| Providence Health Care | 0.438292 |
| health care | 0.778785 |
| public health | 0.620994 |
| clusters | 0.472339 |
| participants | 0.680448 |
| care provider training | 0.48556 |
| worse health care | 0.459178 |
| health care systems | 0.507789 |
| chronically ill populations | 0.475804 |
| medical practices | 0.451654 |
| concept mapping | 0.772259 |
| feasibility rating data | 0.46195 |
| Native Health Society | 0.492353 |
| Concept Systems | 0.507863 |
| point cluster map | 0.438029 |
| chronic conditions | 0.794337 |
| online survey | 0.475145 |
| Aboriginal populations | 0.452077 |
| numerous cluster maps | 0.444766 |
| cluster names | 0.543403 |
| nongovernment organizations | 0.489267 |
|
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| 13922 |
Centers for Disease Control and Prevention |
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Prevalence of Cholesterol Treatment Eligibility andMedication Use Among Adults - United States, 2005-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| medication bottles | 0.412854 |
| major risk factor | 0.376371 |
| eligibility criteria | 0.371258 |
| low-density lipoprotein cholesterol | 0.443804 |
| fasting laboratory | 0.370869 |
| myocardial infarction | 0.37005 |
| public health practitioners | 0.427002 |
| Ariadne K. DeSimone | 0.372328 |
| significant differences | 0.41761 |
| atherosclerotic cardiovascular disease | 0.378738 |
| total cholesterol | 0.398005 |
| high cholesterol foods | 0.426998 |
| ASCVD risk | 0.398038 |
| high blood level | 0.373019 |
| prescription medication interview.†| 0.442759 |
| high cholesterol | 0.435687 |
| prescription medication questionnaire | 0.426598 |
| high-density lipoprotein cholesterol | 0.428076 |
| lower your cholesterol | 0.398742 |
| Current cholesterol-lowering medication | 0.55065 |
| complete cholesterol management | 0.445212 |
| prescription medication file | 0.428544 |
| public health | 0.449643 |
| cardiovascular disease | 0.392831 |
|
| racial/ethnic groups | 0.384039 |
| Million Hearts initiative | 0.396719 |
| Carla Mercado | 0.371719 |
| current eligibility guidelines | 0.377828 |
| cholesterol treatment guidelines | 0.472198 |
| U.S. adults | 0.438782 |
| cholesterol treatment | 0.696699 |
| electronic health records | 0.369529 |
| NHANES cycles | 0.392613 |
| recent national guidelines | 0.384168 |
| lifestyle modifications | 0.735736 |
| blood cholesterol | 0.387632 |
| 10-year ASCVD risk | 0.37529 |
| persons | 0.405351 |
| racial/ethnic disparities | 0.37874 |
| disease management programs | 0.426435 |
| cholesterol-lowering medication | 0.964343 |
| lifestyle modification questions | 0.374348 |
| cholesterol-lowering medications | 0.514272 |
| coronary heart disease | 0.422767 |
| ACC/AHA guidelines | 0.605959 |
| LDL cholesterol | 0.409054 |
| prescription medication | 0.470646 |
|
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| 15847 |
Centers for Disease Control and Prevention |
Html |
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Preliminary Findings from an Investigation of Zika VirusInfection in a Patient with No Known Risk Factors - Utah, 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| County Health Department | 0.650057 |
| family contacts | 0.734216 |
| symptom onset | 0.577416 |
| 2Public Health Associates | 0.576654 |
| active vector surveillance | 0.562555 |
| Utah Department | 0.566315 |
| direct contact | 0.57359 |
| electronic PDF version | 0.560668 |
| Zika virus-like symptoms | 0.582646 |
| Zoonotic Infectious Diseases | 0.603491 |
| patient interactions | 0.56807 |
| National Center | 0.578021 |
| risk factors | 0.567102 |
| urine specimens | 0.580074 |
| South Salt Lake | 0.574351 |
| Zika virus disease | 0.599763 |
| patient A. | 0.5732 |
| body fluids | 0.607849 |
| patient’s body | 0.571322 |
| transcription–polymerase chain reaction | 0.567605 |
| 7Davis County Health | 0.578385 |
| multiple organ failure | 0.568403 |
| Zika Virus Response | 0.59816 |
| Zika virus transmission | 0.618474 |
|
| Public Health Laboratory | 0.617061 |
| Utah Public Health | 0.592835 |
| plaque-reduction neutralization testing | 0.572997 |
| original MMWR paper | 0.562679 |
| Zika virus infection | 0.70072 |
| male family contact | 0.591934 |
| severely ill patients | 0.559752 |
| Abatement District | 0.605782 |
| zika virus | 0.96593 |
| adult mosquito surveillance | 0.585298 |
| index patient | 0.952353 |
| Utah Hospital | 0.565891 |
| health care workers | 0.770917 |
| Salt Lake City | 0.679208 |
| City Mosquito Abatement | 0.594929 |
| Davis County Health | 0.590375 |
| Zika virus infections | 0.602067 |
| health care worker | 0.58937 |
| Lake County Health | 0.587381 |
| Emergency Operation Center | 0.562659 |
| Aedes albopictus mosquitoes | 0.568078 |
| 10Utah Public Health | 0.576091 |
| Zika virus IgM | 0.608881 |
| enzyme-linked immunosorbent assay | 0.567942 |
|
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