| 4431 |
Centers for Disease Control and Prevention |
Html |
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Diseases & Conditions A-Z Index - T |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.844474 |
| Whipworm Infection | 0.695359 |
| Microsoft PowerPoint file | 0.507257 |
| Clostridium tetani Infection | 0.787747 |
| processing SSI file | 0.840166 |
| (Tuberculosis) | 0.79044 |
| [Trichomonas Infection] | 0.792526 |
| Microsoft Word file | 0.510948 |
| Search Form Controls | 0.667279 |
| Sore Throat | 0.496332 |
| Francisella tularensis Infection | 0.916905 |
| Traumatic Brain Injury | 0.632565 |
| Mountain Spotted Fever | 0.477934 |
| Tuberculosis Training | 0.488865 |
| A-Z Index | 0.837326 |
| TB Surveillance Reports | 0.713414 |
| Rickettsia rickettsii Infection | 0.780994 |
| TB Education | 0.718204 |
| Tapeworm Infection | 0.778311 |
| (Lockjaw) Infection | 0.504767 |
| [Babesia Infection] | 0.779905 |
| Conditions A-Z Index | 0.733242 |
| Microsoft Excel file | 0.505516 |
|
| Tuberculosis Vaccine | 0.482777 |
| Taenia Infection | 0.769373 |
| Contact CDC | 0.496756 |
| [Toxoplasma Infection] | 0.786741 |
| Treponema pallidum Infection | 0.770349 |
| Trachoma Infection | 0.704529 |
| CDC Topics | 0.580114 |
| Search The CDC | 0.53959 |
| page options Skip | 0.51895 |
| Form Controls TOPIC | 0.489686 |
| Thoracic Aortic Aneurysm | 0.482725 |
| different file formats | 0.508855 |
| [Toxocara Infection] | 0.798568 |
| Trypanosoma cruzi Infection | 0.764461 |
| TB Testing | 0.719772 |
| HIV Coinfection | 0.578144 |
| Tuberculosis Skin Test | 0.557075 |
| Apple Quicktime file | 0.50148 |
| TB Data | 0.69168 |
| Mycobacterium tuberculosis Infection | 0.85333 |
| CDC A-Z | 0.616496 |
| Dipylidium Infection | 0.708786 |
| Adobe PDF file | 0.502944 |
|
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| 5663 |
Centers for Disease Control and Prevention |
Html |
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o-Chlorostyrene - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6554 |
Centers for Disease Control and Prevention |
Html |
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QuickStats: Percentage of Hospital Outpatient Department Visits in Which a Physician Assistant or Advance Practice Nurse* Was Seen - National Hospital Ambulatory Medical Care Survey, United States, 1999-2009 |
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. |
| mmwrq@cdc.gov. | 0.497749 |
| endorsement | 0.447378 |
| Alternate Text | 0.486206 |
| Human Services | 0.563373 |
| assistive technology | 0.501459 |
| U.S. Department | 0.557209 |
| MMWR HTML versions | 0.554344 |
| electronic PDF version | 0.5465 |
| percentage | 0.415898 |
| e-mail | 0.429732 |
| Contact GPO | 0.503128 |
| commercial sources | 0.485824 |
| hospital outpatient department | 0.716112 |
| National Hospital Ambulatory | 0.566964 |
| current prices | 0.481131 |
| nurse midwife | 0.547324 |
| original paper copy | 0.544786 |
| United States | 0.486949 |
| U.S. Government Printing | 0.54571 |
| Superintendent | 0.416214 |
| nurse practitioner | 0.54345 |
| assistance | 0.415658 |
| title | 0.414719 |
| percent | 0.416303 |
|
| MMWR readers | 0.489082 |
| character translation | 0.48051 |
| visits | 0.486524 |
| file | 0.415764 |
| MMWR paper copy | 0.550845 |
| physician present | 0.495436 |
| Persons | 0.415828 |
| format errors | 0.483564 |
| subject line | 0.491947 |
| Health | 0.426524 |
| advance practice nurse | 0.937725 |
| typeset documents | 0.486959 |
| trade names | 0.485902 |
| official text | 0.479239 |
| Estimates | 0.415099 |
| Medical Care Survey | 0.559333 |
| non-CDC sites | 0.484691 |
| physician assistant | 0.664805 |
| hospital outpatient departments | 0.580861 |
| report | 0.414706 |
| information | 0.415778 |
| Accommodation | 0.414732 |
| electronic conversions | 0.480153 |
| printable versions | 0.477485 |
|
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| 8903 |
Centers for Disease Control and Prevention |
Html |
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Malaria - About Malaria - FAQs |
Frequently asked questions about malaria, disease, transmission, symptoms, diagnosis, treatment, complications with pregnancy, prevention, eradication and endemic areas. |
| red blood cells | 0.390702 |
| malaria medicines | 0.494516 |
| professional medical care | 0.355949 |
| contracting malaria | 0.493517 |
| Page | 0.399529 |
| effective antimalarial drugs | 0.366575 |
| effective malaria vaccine | 0.505889 |
| antimalarial drugs chloroquine | 0.358928 |
| Plasmodium falciparum | 0.357673 |
| malaria parasite | 0.553795 |
| antimalarial drugs | 0.490421 |
| P. falciparum | 0.339014 |
| good antimalarial drugs | 0.359432 |
| malaria infection | 0.504473 |
| malaria drugs | 0.56295 |
| flu-like illness | 0.354 |
| area | 0.346392 |
| Malaria self-treatment | 0.476341 |
| countries | 0.346836 |
| microscopic malaria parasites | 0.537481 |
| Africa south | 0.345101 |
| effective malaria treatment | 0.491815 |
| malaria attacks | 0.473723 |
| P. ovale | 0.378287 |
| malaria parasites | 0.642919 |
|
| malaria treatment medicines | 0.488916 |
| antimalarial drug Malarone | 0.348517 |
| malaria causes | 0.516926 |
| United States | 0.508077 |
| malaria exists | 0.477573 |
| malaria | 0.906829 |
| malaria preventive drugs | 0.502806 |
| previous blood meal | 0.338326 |
| P. vivax | 0.369454 |
| No. Malaria | 0.503669 |
| solid malaria control | 0.49259 |
| transfusion-transmitted malaria | 0.479843 |
| effective malaria | 0.514094 |
| blood transfusion | 0.337891 |
| principal malaria mosquito | 0.496796 |
| malaria treatment medication | 0.489894 |
| disease | 0.365987 |
| breast milk | 0.35484 |
| malaria immunity | 0.493244 |
| people | 0.366376 |
| infected person | 0.346204 |
| health-care provider | 0.44702 |
| malaria transmission | 0.769011 |
| antimalarial drug | 0.397215 |
|
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| 9591 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 13_0099 |
Volumen 10 — el 26 de septiembre de 2013. |
| principal objetivo | 0.741313 |
| United States | 0.80281 |
| Public Interest | 0.786457 |
| Venkatesh S | 0.809707 |
| Weatherspoon LJ | 0.813988 |
| Kim S | 0.777759 |
| menor cantidad | 0.736736 |
|
| Paek H | 0.779784 |
| Foods Marketed | 0.797592 |
| Media Builder Metrix | 0.946754 |
| Plasencia J | 0.803121 |
| pequeña proporción | 0.74167 |
| Chronic Dis | 0.806487 |
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| 10825 |
Centers for Disease Control and Prevention |
Html |
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Health, United States, 2013 includes special section on prescription drugs |
CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States |
| key health measures | 0.461017 |
| insurance coverage | 0.382864 |
| high cholesterol | 0.404893 |
| commonly used classes | 0.470258 |
| Disease Control | 0.396567 |
| prescription drugs | 0.975827 |
| private sector. | 0.38116 |
| federal government | 0.378979 |
| commonly used prescription | 0.66662 |
| Americans | 0.334578 |
| cholesterol-lowering drug | 0.424065 |
| reproductive health | 0.39346 |
| health expenditures | 0.397515 |
| life expectancy | 0.384328 |
| medical visits | 0.388846 |
| statin drugs | 0.472277 |
| private sector | 0.39105 |
| prescription drugs. Key | 0.54256 |
| birth rates | 0.383239 |
| blood thinners | 0.391139 |
| Drug poisoning deaths | 0.453473 |
| health care utilization | 0.462962 |
| United States | 0.485772 |
| 37th annual report | 0.480251 |
| age group | 0.387238 |
|
| adults | 0.46668 |
| common prescription drugs | 0.653739 |
| kidney disease | 0.391421 |
| percent | 0.523518 |
| Cardiovascular agents | 0.403956 |
| federal health agencies | 0.490054 |
| Health Statistics. | 0.41248 |
| heart disease | 0.393165 |
| U.S. DEPARTMENT | 0.383604 |
| comprehensive report | 0.406267 |
| cardiovascular disease | 0.414622 |
| health risk behaviors | 0.463139 |
| cold symptoms | 0.390972 |
| health data | 0.412318 |
| retail prescription drugs | 0.582758 |
| cardiovascular agent | 0.485006 |
| opioid analgesics | 0.413377 |
| annual growth | 0.382546 |
| antidepressants | 0.341811 |
| special section | 0.396767 |
| high blood pressure | 0.467424 |
| Prevention’s National | 0.397877 |
| Human Services | 0.481474 |
| past decade | 0.387914 |
|
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| 11600 |
Centers for Disease Control and Prevention |
Html |
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Influenza Vaccination Coverage Among Health Care Personnel —United States, 2013–14 Influenza Season |
Carla L. Black, PhD1, Xin Yue, MPS, MS1, Sarah W. Ball, ScD2, Sara M. |
| influenza vaccination coverage | 0.853794 |
| general HCP personnel | 0.497781 |
| clinical HCP | 0.552274 |
| volunteer HCP members | 0.491506 |
| employer vaccination policies | 0.439416 |
| vaccination coverage | 0.868234 |
| Internet panel survey | 0.631414 |
| influenza vaccination levels | 0.428981 |
| nonclinical HCP | 0.512474 |
| vaccination status | 0.403458 |
| population Internet panels | 0.30528 |
| opt-in Internet panels | 0.381278 |
| Comprehensive vaccination strategies | 0.433792 |
| HCP vaccination coverage | 0.730905 |
| nurse practitioners/physician assistants | 0.305596 |
| facilities offering vaccination | 0.397908 |
| HCP population | 0.466074 |
| employer vaccination requirements | 0.423527 |
| HCP | 0.996707 |
| health care settings | 0.423264 |
| vaccination promotion | 0.424486 |
| free on-site vaccination | 0.449044 |
| unvaccinated HCP | 0.482865 |
| Internet panels | 0.387222 |
| HCP working | 0.510548 |
|
| vaccination availability | 0.401165 |
| vaccination | 0.895765 |
| higher HCP vaccination | 0.633843 |
| overall HCP influenza | 0.536686 |
| vaccination requirements | 0.472472 |
| higher vaccination coverage | 0.474228 |
| ascertain vaccination promotion | 0.405676 |
| food service workers | 0.316509 |
| on-site vaccination | 0.449209 |
| self-reported influenza vaccination | 0.464187 |
| HCP influenza vaccination | 0.751892 |
| Nonclinical personnel††| 0.308731 |
| work settings | 0.347349 |
| clerical support workers | 0.316708 |
| seasonal vaccination coverage | 0.429918 |
| general population Internet | 0.308658 |
| vaccination promotion trend | 0.404484 |
| occupation type | 0.344463 |
| Carla L. Black | 0.310489 |
| Professional clinical HCP | 0.535935 |
| Internet panel sources | 0.312919 |
| influenza vaccination | 0.868462 |
| clinical personnel | 0.312014 |
| LTC settings | 0.543738 |
|
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| 12626 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Obesity Rates among Preschoolers |
CDC works 24/7 to save lives and protect people. This month's Vital Signs (www.cdc.gov/vitalsigns/) has good news: Obesity rates are decreasing among our nation's low-income preschoolers. The federal WIC program has improved nutritional standards, and communities across the nation are taking action --increasing breastfeeding rates, improving nutrition and physical activity in child care, and keeping school playgrounds open during non-school hours, just to name a few ways that have been proven to work. Still, 1 in 8 preschoolers is obese. Obese children are more likely to become obese adults and have lifelong physical and mental health problems. Communities must continue to help our children thrive.
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=d445ad0752089116bffffe71aed0766420130801162439812 |
| Obesity Rates | 0.936452 |
| Preschoolers | 0.814786 |
|
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| 12869 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Diet Quality and History of Gestational Diabetes Mellitus Among Childbearing Women, United States, 2007"2010 - CDC |
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. |
| total HEI-2010 diet | 0.478316 |
| dietary guidelines | 0.487935 |
| component diet quality | 0.527397 |
| diet quality score | 0.607412 |
| type | 0.472232 |
| chronic disease risk | 0.471897 |
| GDM | 0.753096 |
| previous borderline GDM | 0.559862 |
| overall diet quality | 0.776915 |
| Disease Control | 0.473614 |
| overall average diet | 0.471683 |
| smoking status | 0.481597 |
| Introduction
Women | 0.467607 |
| Nutrition Examination Survey | 0.514974 |
| national health | 0.492312 |
| history | 0.630027 |
| gestational diabetes mellitus | 0.592789 |
| total HEI-2010 score | 0.474853 |
| childbearing women | 0.489815 |
| GDM diagnosis | 0.533982 |
| linear regression models | 0.506958 |
| total diet quality | 0.492787 |
| women | 0.740171 |
| high school graduate | 0.466918 |
|
| United States | 0.5296 |
| poorer diet quality | 0.494736 |
| maternal diet quality | 0.484369 |
| GDM data | 0.535315 |
| lower diet quality | 0.504048 |
| sugar diabetes | 0.483849 |
| Healthy Eating Index | 0.475926 |
| recent live infant | 0.479031 |
| average diet quality | 0.505455 |
| recent gestational diabetes | 0.479796 |
| Massachusetts Medical School | 0.526025 |
| borderline diabetes | 0.482732 |
| Diabetes Care | 0.478153 |
| health | 0.521304 |
| HEI-2010 diet quality | 0.519662 |
| poor diet quality | 0.574225 |
| 24-hour dietary recall | 0.47941 |
| physical activity | 0.472994 |
| current diet quality | 0.502472 |
| MyPyramid Equivalents Database | 0.467061 |
| diet quality | 0.943228 |
| American Diabetes Association | 0.480915 |
| diabetes | 0.612957 |
| good-quality overall diet | 0.474945 |
|
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| 13424 |
Centers for Disease Control and Prevention |
Html |
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Colorectal Cancer Identification Methods Among KansasMedicare Beneficiaries, 2008&ndash2010 |
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. |
| CRC screening recommendations | 0.561042 |
| CRC testing | 0.517332 |
| CRC test | 0.738479 |
| CRC test procedure | 0.547117 |
| CRC identification classification | 0.569802 |
| Kansas Medicare beneficiaries | 0.420925 |
| double-contrast barium enema | 0.449353 |
| CRC mortality rates | 0.572427 |
| CRC diagnosis | 0.568518 |
| ICD-9-CM diagnosis codes | 0.409492 |
| population-based Kansas Cancer | 0.393441 |
| multiple CRC primaries | 0.563521 |
| diagnostic-identified CRC | 0.517795 |
| routine cancer screening | 0.386286 |
| CRC screening | 0.786901 |
| Kansas Medical Center | 0.430404 |
| CRC incidence | 0.546631 |
| New CRC cases | 0.603857 |
| population-based registry records | 0.412498 |
| diagnostic workup | 0.383203 |
| prior invasive CRC | 0.558433 |
| CRC | 0.998697 |
| CRC outcomes | 0.544985 |
| claims history | 0.407253 |
|
| logistic regression analysis | 0.422218 |
| administrative claims data | 0.48101 |
| surveillance-identified CRC | 0.556501 |
| CRC tests | 0.6491 |
| invasive CRC | 0.57941 |
| CRC cases | 0.854582 |
| CRC screening test | 0.618102 |
| CRC patients | 0.537856 |
| National Cancer Institute | 0.405338 |
| Kansas Cancer Registry | 0.566694 |
| CRC prevention | 0.564944 |
| screening/surveillance-identified CRC | 0.671666 |
| colonoscopy indication | 0.383603 |
| multiple logistic regression | 0.388419 |
| CRC symptom ICD-9-CM | 0.560496 |
| population-based cancer registry | 0.471776 |
| 60-day window | 0.406908 |
| CRC screening rates | 0.639759 |
| population-based CRC cohort | 0.557192 |
| CRC identification | 0.856771 |
| Medicare-linked CRC cases | 0.718848 |
| CRC test indication | 0.605763 |
| CRC symptom diagnosis | 0.576079 |
| CRC identification methods | 0.787166 |
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