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Centers for Disease Control and Prevention |
Html |
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Staying Safe in a Tornado | CDC Features |
Stay safe during a tornado by being prepared with a plan and emergency kit. |
| tornado emergency plan | 0.847308 |
| National Oceanic | 0.590559 |
| thunderstorms | 0.572155 |
| battery-operated TV | 0.593037 |
| best way | 0.589615 |
| weather signs | 0.591237 |
| completely safe place | 0.650682 |
| telephone numbers | 0.586263 |
| best chance | 0.576797 |
| internet-enabled device | 0.586982 |
| nearby building | 0.574518 |
| tornado warning | 0.763898 |
| local weather information | 0.652553 |
| added protection | 0.577677 |
| important information | 0.584233 |
| mobile home | 0.636547 |
| fresh batteries | 0.582773 |
| non-perishable food | 0.591267 |
| heavy table | 0.579642 |
| monster tornado | 0.804555 |
| close attention | 0.579144 |
| deadly tornadoes | 0.627896 |
| safety precautions | 0.587573 |
| weather information | 0.731369 |
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| large hail | 0.58544 |
| TV stations | 0.659206 |
| local radio | 0.652069 |
| Atmospheric Agency | 0.588239 |
| low-lying cloud | 0.58488 |
| safe shelter | 0.655961 |
| green-colored sky | 0.585762 |
| best places | 0.596575 |
| freight train | 0.575414 |
| possibility | 0.533345 |
| back-to-back tornado events | 0.890503 |
| tornado | 0.996094 |
| weather conditions | 0.668154 |
| rural communities | 0.597431 |
| special needs | 0.587077 |
| loud roar | 0.583358 |
| NOAA weather radio | 0.787991 |
| latest emergency weather | 0.66719 |
| people | 0.552395 |
| violent tornadoes | 0.620764 |
| nearest sturdy building | 0.648853 |
| important tips | 0.589235 |
| center hallway | 0.585185 |
| northwest Alabama | 0.597385 |
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| 7591 |
Centers for Disease Control and Prevention |
Html |
en |
Fact Sheet - TB and HIV (The AIDS Virus) |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| latent TB infection | 0.451926 |
| inactive germs | 0.287963 |
| health care worker | 0.235638 |
| TB disease | 0.738775 |
| lungs | 0.20523 |
|
| TB germs | 0.92582 |
| body | 0.231819 |
| HIV infection | 0.306142 |
| TB | 0.935787 |
| TB infection | 0.462572 |
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| 7808 |
Centers for Disease Control and Prevention |
Html |
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Hepatitis C - Health Communication |
Hepatitis C - Gateway to Health Communication - CDC |
| HCV antibodies | 0.637429 |
| injection drugs | 0.491007 |
| blood tests | 0.511131 |
| normal liver | 0.513574 |
| C. Most people | 0.501471 |
| hepatitis B. | 0.549602 |
| herbal treatments | 0.480763 |
| needle sticks | 0.48729 |
| HCV-infected people | 0.495467 |
| blood borne infection | 0.645087 |
| prescription drugs | 0.497696 |
| sexual contact | 0.488091 |
| chronic liver disease | 0.602059 |
| liver damage | 0.589527 |
| liver disease | 0.613955 |
| liver enzyme tests | 0.586398 |
| blood transfusions | 0.503463 |
| hepatitis C. | 0.646256 |
| body fluids | 0.487087 |
| precise test | 0.485962 |
| liver enzymes | 0.512161 |
| C. A person | 0.494588 |
| risk factor history | 0.54565 |
| HCV infection | 0.954538 |
|
| United States | 0.491201 |
| Forty-year-old Eileen | 0.487726 |
| stomach ache | 0.50264 |
| treatment program | 0.481869 |
| hepatitis C virus | 0.580797 |
| illegal drugs | 0.496614 |
| antiviral therapy | 0.573621 |
| sharps exposures | 0.492112 |
| multiple partners | 0.486882 |
| blood transfusion | 0.49442 |
| drugs | 0.513124 |
| infected blood | 0.558278 |
| sterile needles | 0.487239 |
| young college student | 0.544709 |
| hepatitis | 0.699038 |
| people | 0.537736 |
| sexual practices | 0.485109 |
| HCV-infected mother | 0.48425 |
| blood supply | 0.498807 |
| routine physical exam | 0.543567 |
| medical management | 0.484421 |
| chronically infected persons | 0.612378 |
| long-term steady sex | 0.55614 |
| liver transplantation | 0.530056 |
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| 8702 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Health Care Expenditures for Adults With Multiple Treated Chronic Conditions: Estimates From the Medical Expenditure Panel Survey, 2009 - CDC |
The objective of this article is to illustrate the usefulness of Medical Expenditure Panel Survey (MEPS) data for examining variations in medical expenditures for people with multiple chronic conditions (MCC). |
| coronary artery disease | 0.613988 |
| Medical Expenditure Panel | 0.540114 |
| chronic kidney disease | 0.514361 |
| hyperlipidemia | 0.478485 |
| high obesity rates | 0.525253 |
| adults | 0.630736 |
| chronic condition prevalence | 0.519996 |
| public policy concerns | 0.519605 |
| common dyad | 0.593106 |
| multiple chronic conditions | 0.613745 |
| MEPS Household Component | 0.511713 |
| home health services | 0.476207 |
| White non-Hispanic adults | 0.547387 |
| classified medical conditions | 0.497354 |
| private insurance | 0.494561 |
| substantial medical care | 0.477123 |
| ambulatory medical care | 0.482972 |
| health care | 0.780544 |
| MEPS Medical Provider | 0.522713 |
| common triad | 0.493049 |
| estimates | 0.513768 |
| treated conditions | 0.589365 |
| health care expenditures | 0.765607 |
|
| Expenditure Panel Survey | 0.53295 |
| nationally representative estimates | 0.475835 |
| triad combinations | 0.551602 |
| ongoing medical intervention | 0.477096 |
| particular chronic condition | 0.510612 |
| medical expenditures | 0.571089 |
| Health Interview Survey | 0.48054 |
| MCC | 0.843829 |
| health care quality | 0.490089 |
| people | 0.530119 |
| medical care | 0.499451 |
| health care costs | 0.474672 |
| chronic conditions | 0.974618 |
| population | 0.494747 |
| costly medical conditions | 0.51402 |
| MEPS estimates | 0.486622 |
| health care events | 0.487795 |
| national estimates | 0.479635 |
| MEPS data collection | 0.525179 |
| MEPS complex survey | 0.510423 |
| older adults | 0.485312 |
| hypertension | 0.473633 |
| age | 0.48664 |
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Centers for Disease Control and Prevention |
Html |
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Asthma - Data and Surveillance - Reports and Publications |
Asthma - Data and Surveillance |
| present data | 0.574361 |
| MMWR data | 0.56111 |
| Puerto Rico | 0.560326 |
| CDC | 0.438888 |
| health policies | 0.559329 |
| burden | 0.505456 |
| statistical information | 0.551664 |
| health care delivery | 0.688507 |
| U.S. | 0.423589 |
| state health departments | 0.704819 |
| trends | 0.427289 |
| disparities | 0.455644 |
| overview | 0.422528 |
| Asthma Surveillance Summaries | 0.915192 |
|
| State Data Profiles | 0.67185 |
| national sources | 0.570889 |
| NCHS | 0.467083 |
| agency | 0.42365 |
| impact | 0.423042 |
| principal health statistics | 0.701372 |
| health status | 0.561013 |
| health problems | 0.562136 |
| Asthma Control Program | 0.825993 |
| grantee states | 0.574789 |
| U.S | 0.439639 |
| programs | 0.42294 |
| articles | 0.422383 |
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| 9751 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Trends in Financial Barriers to Medical Care for Women Veterans, 2003"2004 and 2009"2010 - CDC |
Women veterans are a fast-growing segment of the veteran population, yet they face many barriers to medical care. The objective of this study was to examine factors that put women veterans at risk for a financial barrier to medical care. |
| insured veterans | 0.21828 |
| financial barriers | 0.278518 |
| OEF/OIF/OND era | 0.237784 |
| mental health | 0.28439 |
| age group | 0.240173 |
| middle-aged women veterans | 0.371648 |
| Risk Factor Surveillance | 0.253533 |
| binge drinking | 0.223827 |
| general population | 0.278979 |
| women veteran population | 0.200814 |
| women veterans | 0.949014 |
| uninsured veterans | 0.223873 |
| Veterans Administration Office | 0.238378 |
| working-age veterans | 0.262578 |
| mental distress | 0.247307 |
| financial cost barrier | 0.299942 |
|
| middle-aged male veterans | 0.255794 |
| working-aged veterans | 0.358009 |
| sample size | 0.216929 |
| higher risk groups | 0.20216 |
| health care | 0.428415 |
| health care access | 0.276052 |
| ongoing women veterans | 0.26868 |
| self-reported financial barrier | 0.22898 |
| older women veterans | 0.336791 |
| health care coverage | 0.353767 |
| medical care | 0.586304 |
| OEF/OIF/OND veterans eligibility | 0.239853 |
| Introduction
Women veterans | 0.311439 |
| male veterans | 0.258771 |
| younger women veterans | 0.430071 |
| Behavioral Risk Factor | 0.251093 |
|
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Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom - Digital Press Kit: CDC- 2012 Year in Review |
CDC- 2012 year in review |
| CDC Online Newsroom | 0.980512 |
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| Digital Press Kit | 0.708085 |
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CLICK HERE |
| 12604 |
Centers for Disease Control and Prevention |
Video |
en |
Video: Strengthening Labs for a Healthier & Safer World |
CDC plays a unique and essential role in the U.S. President's Emergency Plan for AIDS Relief. CDC uses decades of expertise in public health science and longstanding relationships with Ministries of Health to build strong national HIV/AIDS programs and sustainable public health systems that prevent new HIV infections, save lives, and provide hope to people and countries crippled with HIV/AIDS.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://streaming.cdc.gov/vod.php?id=bf6a96364249598bf5f32a84daff6b9320000724153804578 |
| HIV Treatment | 0.967108 |
| Lives | 0.559988 |
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| 13202 |
Centers for Disease Control and Prevention |
Html |
en |
Interim Guidance for Infection Control Within Healthcare Settings When Caring for Confirmed Cases, Probable Cases, and Cases Under Investigation for Infection with Novel Influenza A Viruses Associated with Severe Disease |
Interim Guidance for Infection Control Within Healthcare Settings When Caring for Patients with Confirmed, Probable, or Cases Under Investigation of Avian Influenza A(H7N9) Virus Infection - CDC |
| complete respiratory protection | 0.535871 |
| eye protection | 0.611219 |
| seasonal influenza guidance | 0.573255 |
| alcohol-based hand rubs | 0.560131 |
| novel influenza viruses | 0.571608 |
| influenza antiviral medications | 0.549349 |
| environmental infection control | 0.596089 |
| standard precautions | 0.574099 |
| pathogenic avian influenza | 0.564375 |
| infectious agents | 0.639299 |
| respiratory hygiene | 0.662502 |
| food service | 0.563594 |
| healthcare facility | 0.551713 |
| personal protective equipment | 0.841277 |
| potentially infectious particles | 0.560002 |
| seasonal influenza | 0.712878 |
| influenza virus transmission | 0.543582 |
| patients | 0.676311 |
| sick leave policies | 0.552147 |
| high-efficiency particulate air | 0.568875 |
| HCP | 0.883755 |
| influenza virus | 0.619583 |
| hand hygiene | 0.744795 |
| severe disease | 0.622303 |
|
| aerosol-generating procedures | 0.634324 |
| influenza | 0.74992 |
| commonly used respirator | 0.554363 |
| facepiece respirator | 0.669532 |
| novel influenza | 0.733049 |
| cough etiquette | 0.6571 |
| infection control | 0.652204 |
| interim guidance | 0.587865 |
| implement respiratory hygiene | 0.538782 |
| infection control precautions | 0.54695 |
| food service utensils | 0.538942 |
| influenza patients | 0.55852 |
| respiratory protection | 0.630956 |
| influenza anti-viral medications | 0.54943 |
| acute respiratory illness | 0.602765 |
| source control | 0.566569 |
| HCP caring | 0.593231 |
| Prevention Strategies | 0.550927 |
| patient room | 0.794071 |
| isolation precautions | 0.555034 |
| patient care environment | 0.552671 |
| asymptomatic hcp | 0.622743 |
| healthcare settings | 0.948802 |
| n95 respirators | 0.548744 |
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Centers for Disease Control and Prevention |
Html |
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TB | Basic TB Facts | How TB Spreads |
null |
| family members | 0.261506 |
| latent TB infection | 0.614609 |
| person | 0.262262 |
| TB disease | 0.796039 |
|
| lungs | 0.292265 |
| people | 0.248772 |
| TB | 0.916725 |
| TB bacteria | 0.846587 |
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