| 5285 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Weight: Success Stories: Jackie |
Jackie lost 30 lbs. Read her success story. |
| horrible eating habits | 0.942384 |
| good chocolate | 0.57673 |
| lunch | 0.358325 |
| right direction | 0.611253 |
| willpower | 0.374383 |
| entire adult life | 0.930441 |
| number | 0.361559 |
| prunes | 0.363611 |
| ‘I | 0.409718 |
| cake | 0.360916 |
| smaller size | 0.567894 |
| constant effort | 0.602706 |
| pedometer | 0.384809 |
| new things | 0.602829 |
| gifts | 0.357821 |
| small bite | 0.612676 |
| period | 0.364905 |
| weight loss | 0.57993 |
| weight | 0.994405 |
| steps | 0.420963 |
| nausea | 0.374669 |
| temptation | 0.363608 |
| piece | 0.358942 |
| lasting taste | 0.582693 |
| no-sugar popsicles | 0.598432 |
|
| bad habits | 0.594103 |
| longest time | 0.571711 |
| importance | 0.357122 |
| candy bar | 0.576429 |
| smaller clothes | 0.58381 |
| fattening foods | 0.627243 |
| point | 0.366329 |
| nerve problem | 0.614458 |
| remind | 0.362137 |
| result | 0.361214 |
| spark | 0.363837 |
| end | 0.357861 |
| quick snack | 0.576244 |
| pretzels | 0.362608 |
| buddy | 0.357804 |
| Scheduling non-food events | 0.820565 |
| self-image | 0.375409 |
| People | 0.35798 |
| medication | 0.361109 |
| control | 0.35778 |
| pounds overweight | 0.616307 |
| n’t trust | 0.57174 |
| meal | 0.356617 |
| sweets | 0.365679 |
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| 5436 |
Centers for Disease Control and Prevention |
Html |
en |
Ethyl formate - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7038 |
Centers for Disease Control and Prevention |
Html |
en |
About FoodCORE |
null |
| foodborne diseases | 0.926104 |
| CDC | 0.505233 |
| comprehensive foodborne disease | 0.771898 |
| specific measures | 0.445405 |
| potential food poisoning | 0.62656 |
| pilot project | 0.464433 |
| control multistate outbreaks | 0.735297 |
| tahini sesame paste | 0.634653 |
| FoodCORE centers | 0.477961 |
| U.S. Department | 0.457073 |
| similar outbreaks | 0.579226 |
| related clusters | 0.496741 |
| Disease Control | 0.490628 |
| state health departments | 0.588494 |
| ill persons | 0.445244 |
| FoodCORE program | 0.45716 |
| foodborne disease outbreaks | 0.846878 |
| Food Safety | 0.459167 |
| foodborne disease activities | 0.713043 |
| Outbreak Response Enhancement | 0.631925 |
| public health officials | 0.592094 |
| prevention measures | 0.439535 |
| Foodborne Diseases Centers | 0.767669 |
| Environmental Diseases | 0.449594 |
| multistate clusters | 0.547487 |
|
| diverse aspects | 0.43783 |
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| Public Health Laboratories | 0.582285 |
| better methods | 0.451948 |
| pizza snacks | 0.472001 |
| additional illnesses | 0.458884 |
| ground beef | 0.471554 |
| effective outbreak investigations | 0.649918 |
| local responses | 0.456998 |
| Robert Tauxe | 0.446508 |
| pool information | 0.446003 |
| public health | 0.608968 |
| FoodCORE performance metrics | 0.606623 |
| additional centers | 0.473683 |
| outbreak surveillance | 0.48114 |
| measurable activities | 0.449358 |
| U.S. population | 0.446711 |
| key areas | 0.439723 |
| key area | 0.4451 |
| foodborne disease | 0.874369 |
| performance metrics | 0.685334 |
| faster DNA fingerprinting | 0.565666 |
| Deputy Director | 0.447554 |
| Shiga toxin-producing Escherichia | 0.593335 |
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| 7692 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Updated Asthma Surveillance ReportReleased |
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. | 0.377949 |
| endorsement | 0.273123 |
| emergency department visits | 0.526797 |
| Human Services | 0.458648 |
| assistive technology | 0.381937 |
| research priorities | 0.358946 |
| MMWR HTML versions | 0.478162 |
| U.S. Department | 0.45507 |
| patient services | 0.361093 |
| electronic PDF version | 0.463515 |
| hospital outpatient visits | 0.519029 |
| health-care encounters | 0.390857 |
| Contact GPO | 0.383042 |
| office visits | 0.386073 |
| National Surveillance | 0.421839 |
| commercial sources | 0.352555 |
| current prices | 0.346341 |
| historical information | 0.363985 |
| previous reports | 0.35579 |
| recent estimates | 0.355558 |
| new data | 0.364118 |
| original paper copy | 0.459405 |
| monitoring asthma trends | 0.640376 |
| previous asthma surveillance | 0.709452 |
|
| inpatient stays | 0.367155 |
| asthma surveillance report | 0.854812 |
| United States | 0.36479 |
| original MMWR paper | 0.472081 |
| U.S. Government Printing | 0.462475 |
| community leaders | 0.357226 |
| graphic representations | 0.523029 |
| asthma surveillance indicators | 0.688685 |
| health-care providers | 0.384746 |
| MMWR readers | 0.359912 |
| character translation | 0.34408 |
| asthma surveillance | 0.911625 |
| detailed demographic subgroups | 0.500511 |
| additional graphic representations | 0.505727 |
| public health professionals | 0.494638 |
| asthma prevalence | 0.527298 |
| format errors | 0.348001 |
| subject line | 0.366475 |
| typeset documents | 0.35474 |
| trade names | 0.352684 |
| official text | 0.342057 |
| non-CDC sites | 0.35125 |
| electronic conversions | 0.342845 |
| printable versions | 0.338487 |
|
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| 7934 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: National Birth Defects Prevention Month andFolic Acid Awareness Week - January 2013 |
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. | 0.565276 |
| Obstet Gynecol | 0.555296 |
| Boniface S. Maternal | 0.604707 |
| Kochanek KD | 0.556399 |
| Human Services | 0.592127 |
| assistive technology | 0.564226 |
| neural tube defects | 0.671831 |
| Gilboa SM | 0.558233 |
| varied diet | 0.553839 |
| infant mortality | 0.560188 |
| National Birth Defects | 0.720357 |
| MMWR HTML versions | 0.598984 |
| U.S. Department | 0.591279 |
| Health-care professionals | 0.564712 |
| electronic PDF version | 0.59874 |
| fortified foods | 0.555482 |
| major birth defects | 0.695466 |
| malformed cases | 0.558565 |
| health conditions | 0.560045 |
| final data | 0.555298 |
| uncontrolled diabetes | 0.5593 |
| Additional information | 0.612285 |
| Contact GPO | 0.561959 |
| Xu JQ | 0.556728 |
|
| Tennant PWG | 0.554096 |
| National Folic Acid | 0.657047 |
| original paper copy | 0.595792 |
| United States | 0.616721 |
| healthy behaviors | 0.554307 |
| original MMWR paper | 0.602786 |
| U.S. Government Printing | 0.598922 |
| J. Maternal overweight | 0.603209 |
| MMWR readers | 0.55622 |
| cognitive challenges | 0.553137 |
| Health-care providers | 0.562864 |
| Besser LM | 0.558425 |
| Kung H. Deaths | 0.601231 |
| folic acid | 0.799386 |
| Natl Vital Stat | 0.603774 |
| subject line | 0.563807 |
| Diabetes mellitus | 0.554048 |
| infant deaths | 0.562758 |
| typeset documents | 0.553189 |
| Hum Reprod Update | 0.598393 |
| healthy weight | 0.555963 |
| Stothard KJ | 0.554793 |
| systematic review | 0.605675 |
| birth defects | 0.934051 |
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| 9986 |
Centers for Disease Control and Prevention |
Html |
en |
CDC's Alcohol Screening and Brief Intervention Efforts'FASD'NCBDDD'FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| U.S. Adults Drink | 0.382748 |
| CDC | 0.376198 |
| Works—Alcohol SBI | 0.497133 |
| CHOICES Intervention Materials—These | 0.389635 |
| alcohol SBI initiative | 0.659597 |
| risky levels | 0.430503 |
| Binge drinking prevalence | 0.371632 |
| Prev Med | 0.361861 |
| SBI Implementation Guide—The | 0.52057 |
| primary care practice | 0.426486 |
| Preventive Services Task | 0.450436 |
| pediatricians incorporate screening | 0.363761 |
| Drug Alcohol Depend. | 0.486552 |
| SBI Implementation Guide—This | 0.522889 |
| risky alcohol | 0.602833 |
| primary care settings | 0.510677 |
| alcohol-exposed pregnancy | 0.3933 |
| alcohol screening | 0.618188 |
| brief intervention | 0.530038 |
| risky drinking | 0.402903 |
| system-level strategies | 0.360424 |
| health care settings | 0.384755 |
| fetal alcohol spectrum | 0.556606 |
| *Risky alcohol | 0.464961 |
| DSM-IV alcohol abuse | 0.487435 |
|
| U.S. Preventive Services | 0.408169 |
| United States | 0.413694 |
| extended intervention options | 0.372996 |
| Fatal—Risky alcohol | 0.495835 |
| alcohol misuse | 0.495575 |
| alcohol sbi | 0.957097 |
| Alcohol Clin Exp | 0.486626 |
| Alcohol electronic screening | 0.495356 |
| Alcohol SBI Works—Over | 0.678174 |
| Alcohol SBI Guide | 0.662846 |
| alcohol sbi implementation | 0.702276 |
| Prenatal alcohol exposure | 0.477332 |
| reproductive age | 0.358859 |
| Social Harm—Risky alcohol | 0.525513 |
| Services Task Force | 0.405004 |
| alcohol spectrum disorders | 0.557734 |
| electronic alcohol SBI | 0.675727 |
| intimate partner violence | 0.410709 |
| et al | 0.382785 |
| primary care | 0.514288 |
| Community Preventive Services | 0.362528 |
| motor vehicle crashes | 0.360799 |
| excessive alcohol consumption | 0.510461 |
| low-risk drinking goals | 0.367937 |
|
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| 10829 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | A 16-Month Community-Based Intervention to Increase Aspirin Use for Primary Prevention of Cardiovascular Disease - CDC |
Cardiovascular diseases are the leading causes of disability and death in the United States. Primary prevention of these events may be achieved through aspirin use. The ability of a community-based intervention to increase aspirin use has not been evaluated. The objective of this study was to evaluate an educational intervention implemented to increase aspirin use for primary prevention of cardiovascular disease in a small city in Minnesota. |
| population-based aspirin | 0.521868 |
| aspirin prescriptions | 0.497095 |
| primary care approach | 0.393471 |
| Aspirin use discussions | 0.487852 |
| CVD health messages | 0.374075 |
| aspirin use candidates | 0.503717 |
| CVD morbidity | 0.371818 |
| primary prevention data | 0.394162 |
| nonregular aspirin users | 0.584755 |
| CVD risk | 0.439082 |
| self-reported aspirin | 0.556656 |
| CVD prevention messages | 0.380807 |
| health care providers | 0.372792 |
| daily aspirin | 0.492269 |
| primary prevention approach | 0.396381 |
| modifiable CVD risk | 0.371487 |
| primary care physicians | 0.38451 |
| primary care approaches | 0.368304 |
| primary prevention measure | 0.37834 |
| low-dose aspirin | 0.583163 |
| primary prevention candidates | 0.522319 |
| CVD events | 0.372092 |
| regular aspirin users | 0.64187 |
| heart attack | 0.377998 |
| Framingham risk scores | 0.388944 |
|
| primary care health | 0.3853 |
| aspirin allergy | 0.479294 |
| primary prevention samples | 0.386005 |
| primary care clinics | 0.408319 |
| secondary prevention candidates | 0.381074 |
| aspirin candidates | 0.515448 |
| primary prevention | 0.918056 |
| aspirin | 0.776489 |
| societal aspirin | 0.480498 |
| health care | 0.420279 |
| public health | 0.39896 |
| ischemic stroke | 0.378041 |
| cardiovascular disease | 0.404342 |
| appropriate aspirin | 0.478369 |
| regular aspirin | 0.713801 |
| inappropriate aspirin | 0.480242 |
| aspirin use rates | 0.569077 |
| aspirin messages | 0.498554 |
| Primary prevention strategies | 0.393444 |
| aspirin component | 0.476998 |
| et al | 0.41208 |
| primary care | 0.490792 |
| community-based intervention | 0.410652 |
| coronary heart disease | 0.389255 |
|
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| 11985 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Cervical Cancer Incidence, Mortality, andScreening - United States, 2007-2012 |
On November 5, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| recent cervical cancer | 0.529223 |
| current screening percentages | 0.482774 |
| health care provider | 0.666315 |
| cancer death rate | 0.4702 |
| Risk Factor Surveillance | 0.471169 |
| overall cervical cancer | 0.515267 |
| cancer incidence statistics | 0.496087 |
| cancer incidence rates | 0.556933 |
| cervical cancer objectives | 0.525202 |
| state-specific cervical cancer | 0.567118 |
| Incident cervical cancers | 0.497542 |
| current cervical cancer | 0.555796 |
| Pap test | 0.507124 |
| mortality data | 0.476558 |
| cancer screening recommendations | 0.477331 |
| cervical cancer screening | 0.712286 |
| cervical cancers | 0.504944 |
| States Cancer Statistics | 0.499292 |
| U.S. Census region | 0.474146 |
| cancer incidence data | 0.51217 |
| cervical cancer | 0.923751 |
| United States Cancer | 0.501635 |
| cervical cancer death | 0.552855 |
| state-specific screening prevalence | 0.467678 |
|
| death rates | 0.62122 |
| new cervical cancer | 0.51013 |
| Behavioral Risk Factor | 0.472212 |
| cervical cancer incidence | 0.819952 |
| women | 0.604907 |
| higher incidence | 0.473129 |
| inadequately screened women | 0.508476 |
| United States | 0.632762 |
| death rate | 0.497578 |
| cancer incidence rate | 0.505272 |
| greatest cancer prevention | 0.465897 |
| annual percentage changes | 0.513193 |
| highest incidence rate | 0.505207 |
| American Indians/Alaska Natives | 0.470289 |
| U.S. incidence rate | 0.477022 |
| cervical cancer recommendations | 0.514126 |
| screening prevalence data | 0.497415 |
| regular health care | 0.664833 |
| Vicki B. Benard | 0.472166 |
| cervical cancer services | 0.512743 |
| cervical cancer cases | 0.557061 |
| age-adjusted cervical cancer | 0.533041 |
| Asians/Pacific Islanders | 0.476319 |
| cervical cancer deaths | 0.517431 |
|
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| 13252 |
Centers for Disease Control and Prevention |
Html |
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Go with the Flow (2:54) |
Unavailable to 100 million Americans, water fluoridation can save nearly $38 in dental costs for every dollar spent. - CDC-TV |
| Economic analysis | 0.609014 |
| life | 0.435595 |
| feedback | 0.436689 |
| Health Promotion | 0.585593 |
| children | 0.512683 |
| variety | 0.47526 |
| safety | 0.475058 |
| different audiences | 0.825597 |
| public health professionals | 0.977981 |
| CDC-TV videos | 0.739083 |
| teeth | 0.446344 |
| savings | 0.437956 |
| fluoridation yields | 0.613363 |
|
| cavities | 0.458513 |
| National Center | 0.597063 |
| CDC studies | 0.622056 |
| water supply | 0.594507 |
| Chronic Disease Prevention | 0.760942 |
| preparedness topics | 0.842341 |
| money | 0.437266 |
| widespread water fluoridation | 0.779603 |
| ages | 0.435644 |
| comment | 0.438762 |
| dental costs | 0.607581 |
| Release Date | 0.606045 |
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| 14474 |
Centers for Disease Control and Prevention |
Html |
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Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Americas | 0.327582 |
| door screens | 0.423788 |
| infected travelers | 0.452861 |
| air conditioning | 0.423756 |
| pants | 0.327931 |
| email address | 0.419202 |
| Outbreaks | 0.334544 |
| fever | 0.329924 |
| chikungunya virus | 0.903136 |
| muscle pain | 0.451908 |
| joint swelling | 0.450154 |
| mosquitoes | 0.341675 |
| pronunciation | 0.332442 |
| Europe | 0.323561 |
| chikungunya virus infection | 0.845309 |
| Africa | 0.323624 |
|
| joint pain | 0.442733 |
| countries | 0.344406 |
| new areas | 0.429851 |
| bites | 0.32914 |
| people | 0.326307 |
| common symptoms | 0.436647 |
| rash | 0.338757 |
| vaccine | 0.328573 |
| insect repellent | 0.438368 |
| Asia | 0.323592 |
| islands | 0.322926 |
| Pacific Oceans | 0.442657 |
| risk | 0.322563 |
| headache | 0.333177 |
| time | 0.323004 |
| page | 0.321561 |
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