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Centers for Disease Control and Prevention |
Html |
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Hepatitis B: Make Sure Your Child Has Been Fully Vaccinated | CDC Features |
Know Hepatitis B is a multi-lingual campaign promoting testing for Hepatitis B for Asian Americans and Pacific Islanders. Hepatitis B affects 1 in 12 Asian Americans, but most don’t know they have it. |
| HHS Office | 0.369232 |
| DC’s Division | 0.351086 |
| Asians Americans | 0.386291 |
| Human Services | 0.364181 |
| cancer deaths | 0.356279 |
| family member | 0.354221 |
| native language | 0.363695 |
| Minority Health | 0.360147 |
| PM EST | 0.352508 |
| young children | 0.406724 |
| Stay Connected page | 0.391263 |
| liver damage | 0.358783 |
| Twitter Chat | 0.394225 |
| Pacific Islands | 0.390632 |
| New Zealand | 0.394642 |
| infected mother | 0.3712 |
| liver problems | 0.365909 |
| Hepatitis B campaign | 0.654358 |
| Asian Americans | 0.6076 |
| community members | 0.351118 |
| chronic Hepatitis | 0.767528 |
| Hepatitis B. AAPIs | 0.673704 |
| United States | 0.406772 |
| White House Initiative | 0.412412 |
| multi-lingual campaign | 0.367849 |
|
| TV PSAs | 0.354523 |
| campaign materials page | 0.395943 |
| B. The vaccine | 0.360772 |
| fact sheets | 0.351505 |
| Southeast Asia | 0.35185 |
| Hepatitis B. | 0.767374 |
| Hepatitis B testing | 0.564505 |
| B. These people | 0.357921 |
| Hepatitis B vaccine | 0.576702 |
| disease worldwide | 0.358873 |
| viral hepatitis | 0.578412 |
| email updates | 0.350911 |
| community partners | 0.360386 |
| multi-media channels | 0.360799 |
| hepatitis | 0.927205 |
| people | 0.414377 |
| total U.S. population | 0.403491 |
| medical care | 0.352629 |
| Hep B United | 0.41485 |
| Pacific Islanders | 0.602435 |
| effective vaccine | 0.361091 |
| local level | 0.363169 |
| Hepatitis B infection | 0.583413 |
| Pacific Island countries | 0.410783 |
|
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| 7552 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: National Gay Men's HIV/AIDS Awareness Day-September 27, 2012 |
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. | 0.24839 |
| Purcell DW | 0.231426 |
| immunodeficiency virus infection | 0.405008 |
| new HIV infections | 0.797824 |
| National Gay Men | 0.573681 |
| Human Services | 0.332702 |
| assistive technology | 0.250372 |
| U.S. Department | 0.336388 |
| MMWR HTML versions | 0.324145 |
| National STD Prevention | 0.344482 |
| risk groups | 0.22668 |
| electronic PDF version | 0.316096 |
| Additional information | 0.329218 |
| HIV Surveillance Supplemental | 0.518422 |
| Contact GPO | 0.240982 |
| HIV prevention services | 0.542084 |
| commercial sources | 0.223582 |
| immune deficiency syndrome | 0.352833 |
| current prices | 0.221548 |
| national population size | 0.337346 |
| U.S. dependent areas—2010 | 0.346502 |
| original paper copy | 0.319819 |
| new infections | 0.472764 |
| care objectives | 0.224263 |
|
| HIV/AIDS Awareness | 0.365833 |
| United States | 0.459792 |
| CDC. Monitoring | 0.229899 |
| U.S. Government Printing | 0.335358 |
| original MMWR paper | 0.320923 |
| age group | 0.234098 |
| MMWR readers | 0.227674 |
| character translation | 0.219022 |
| national HIV prevention | 0.539957 |
| highest number | 0.229242 |
| African American MSM | 0.964891 |
| format errors | 0.216493 |
| HIV incidence | 0.406254 |
| subject line | 0.249008 |
| typeset documents | 0.222724 |
| trade names | 0.223649 |
| paper copy | 0.331881 |
| official text | 0.217932 |
| U.S. population | 0.241648 |
| injection drug users | 0.346143 |
| non-CDC sites | 0.222016 |
| race/ethnicity group | 0.233546 |
| et al | 0.345295 |
| electronic conversions | 0.21514 |
|
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| 7907 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Nigeria - Who We Are |
null |
| Okey Nwanyanwu | 0.390573 |
| Public Health Degree | 0.592955 |
| HIV/AIDS prevention | 0.409488 |
| local Nigerian staff | 0.731918 |
| internationally recognized leader | 0.624541 |
| Senior Advisor | 0.396829 |
| South Carolina | 0.368956 |
| parastatal agencies | 0.416469 |
| malaria control | 0.399406 |
|
| Global HIV/AIDS | 0.417051 |
| Dr. Nwanyanwu | 0.370639 |
| CDC Country Director | 0.812941 |
| non-federal site | 0.420064 |
| non-governmental organizations | 0.430295 |
| private institutions | 0.415964 |
| U.S. CDC staff | 0.94393 |
| South Africa | 0.382804 |
|
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| 9670 |
Centers for Disease Control and Prevention |
Html |
en |
Veterinary Safety and Health - Physical Safety - Animal handling and restraint hazards |
null |
| NIOSH HHE report | 0.947137 |
| CDC Motor vehicle | 0.462766 |
| Animal Handling | 0.410517 |
| animal facilities | 0.46235 |
| NIOSH Heat stress | 0.772135 |
| OSHA bloodborne diseases | 0.455893 |
| poorly maintained equipment | 0.472718 |
| livestock handling facility | 0.473983 |
| veterinary workplaces | 0.403825 |
| Temple Grandin Livestock | 0.461351 |
| physical restraint | 0.41138 |
| veterinary settings | 0.401667 |
| NIOSH Health hazard | 0.630998 |
| NIOSH Slip | 0.544382 |
| Liberty Veterinary Hospital | 0.463987 |
| County Animal Shelter | 0.466308 |
| traumatic injuries | 0.419285 |
| airborne contaminants | 0.464768 |
| OSHA Laser hazards | 0.473 |
| repetitive motion injuries | 0.501877 |
| National Standard Recommended | 0.468007 |
| Laser Safety Measurements | 0.47636 |
| Society Veterinary Medical | 0.504412 |
| Ontario Veterinary College | 0.476317 |
| animal shelter workers | 0.482583 |
|
| Carolina Swine Veterinary | 0.471195 |
| medical emergencies | 0.403714 |
| Sharps injuries | 0.431152 |
| Needlestick Injury Information | 0.456861 |
| appropriate restraint | 0.413973 |
| Motor vehicle safety | 0.578649 |
| scratch wounds | 0.404192 |
| Animal Bites | 0.410695 |
| Organic Toxic Dust | 0.45802 |
| poultry processing workers | 0.448888 |
| animals feeding operations | 0.463081 |
| medical laser safety | 0.491672 |
| NIOSH Motor vehicle | 0.652177 |
| immediate medical evaluation | 0.487638 |
| Significant injuries | 0.433033 |
| Kirkwood Community College | 0.446202 |
| NASPHV Veterinary Standard | 0.494131 |
| hazard evaluation | 0.460906 |
| Publication No. | 0.449267 |
| Occup Environ Med | 0.449977 |
| AVMA Dog bite | 0.562153 |
| motor vehicle accidents | 0.461682 |
| Eye safety concerns | 0.476276 |
| NIOSH Request | 0.544584 |
|
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| 10167 |
Centers for Disease Control and Prevention |
Html |
en |
Protect: Know the Signs and Symptoms of Infection |
Call your doctor right away if you notice any of the following signs and symptoms of an infection. |
| doctor | 0.393303 |
| chemotherapy treatment | 0.720139 |
| blood cell count | 0.717392 |
| white blood cell | 0.935188 |
| chemotherapy dose | 0.691351 |
| infection symptoms | 0.623954 |
|
| hospitalization | 0.388546 |
| death | 0.349389 |
| following signs | 0.562271 |
| infections | 0.379888 |
| body | 0.355071 |
|
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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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| 13695 |
Centers for Disease Control and Prevention |
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en |
Technology and Data Collection in Chronic Disease Epidemiology |
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. |
| Chronic Disease readers | 0.628192 |
| field-based data collection | 0.660448 |
| public health practitioners | 0.731297 |
| spatial video data | 0.664707 |
| Prev Chronic Dis | 0.616708 |
| community data collection | 0.651213 |
| aerosol optical depth | 0.674509 |
| data collection methods | 0.655164 |
| Prev Med | 0.65241 |
| spatial analysis | 0.625313 |
| GPS-enabled mobile technology | 0.650717 |
| Disease Control | 0.628049 |
| Google Earth | 0.639001 |
| unique spatial database | 0.612442 |
| Health Geogr | 0.653932 |
| automobile-mounted digital video | 0.609947 |
| open-source smartphone applications | 0.612959 |
| mobile technology | 0.768124 |
| chronic disease epidemiology | 0.627926 |
| chronic disease | 0.68802 |
| community health workers | 0.726924 |
| D. Community health | 0.634165 |
| traditional data-collection sources | 0.608438 |
| South Africa | 0.656325 |
| environmental health surveillance | 0.631027 |
|
| mobile phone application | 0.61328 |
| well-documented public health | 0.647833 |
| mobile telephone–based nutrition | 0.621438 |
| field data collection | 0.682673 |
| Epidemiol Community Health | 0.631164 |
| Google Street View | 0.687755 |
| human health data | 0.670302 |
| time-sensitive point-location data | 0.659242 |
| sugar-sweetened beverages | 0.652779 |
| mapping health risks | 0.622628 |
| public health | 0.808126 |
| Moodley et | 0.615718 |
| digital data | 0.608251 |
| spatial data collection | 0.661512 |
| mobile application | 0.610494 |
| obesogenic environments | 0.609102 |
| open-source free applications | 0.617333 |
| available low-cost technology | 0.611072 |
| data collection | 0.922745 |
| physical activity | 0.635015 |
| Chronic Disease Prevention | 0.615868 |
| community-based health reporting | 0.628777 |
| et al | 0.729928 |
| Int J Health | 0.656443 |
|
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| 15427 |
Centers for Disease Control and Prevention |
Html |
en |
Effect of Financial Stress and Positive Financial Behaviors on Cost-Related Nonadherence to Health Regimens Among Adults in a Community-Based Setting |
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. |
| cost-related nonadherence | 0.267354 |
| health insurance | 0.649838 |
| financial resources | 0.277237 |
| health insurance participants | 0.273247 |
| effective financial management | 0.259852 |
| Health-related financial stress | 0.289313 |
| health-related financial burdens | 0.258816 |
| employer-sponsored health insurance | 0.316564 |
| Greater financial stress | 0.318876 |
| Genesee County | 0.304237 |
| financial literacy | 0.416696 |
| functional financial literacy | 0.274997 |
| Cost-related nonadherence behaviors | 0.257123 |
| health insurance status | 0.498048 |
| financial burden correlate | 0.267959 |
| health insurance literacy | 0.304282 |
| mean financial stress | 0.289721 |
| financial stress | 0.831852 |
| high stress | 0.257802 |
| health behaviors | 0.265362 |
| health care | 0.282776 |
| public health | 0.260824 |
| health insurance coverage | 0.291823 |
|
| sickle cell anemia | 0.258443 |
| positive financial behavior | 0.531914 |
| moderate financial stress | 0.331612 |
| chronic condition | 0.307225 |
| financial stability | 0.268464 |
| health insurance plans | 0.262415 |
| reports financial difficulty | 0.266441 |
| long-term financial well-being | 0.25759 |
| health care decision | 0.267091 |
| health-related financial literacy | 0.27445 |
| chronic conditions | 0.337605 |
| financial burden | 0.295138 |
| Community Survey | 0.291781 |
| CRN behavior | 0.273675 |
| positive financial behaviors | 0.998317 |
| higher levels | 0.290989 |
| health insurance policy | 0.267485 |
| health literacy | 0.278799 |
| high blood pressure | 0.434284 |
| Genesee Health Plan | 0.413376 |
| Genesee County Health | 0.25863 |
| Building health literacy | 0.266362 |
| basic health insurance | 0.260223 |
|
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| 15437 |
Centers for Disease Control and Prevention |
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Notes from the Field: Intoxication and Deaths Associatedwith Ingestion of a Racing Fuel and Carbonated Soft Drink Mixture -Tennessee, January 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Tennessee Poison Center | 0.765826 |
| methanol case-fatality rate | 0.710263 |
| Human Services | 0.516768 |
| racing fuel source | 0.580272 |
| soft drink mixture | 0.569531 |
| U.S. Department | 0.522633 |
| methanol intoxication | 0.743211 |
| electronic PDF version | 0.517828 |
| racing fuel mixture | 0.624944 |
| normal laboratory evaluations | 0.527417 |
| mild gastrointestinal symptoms | 0.532678 |
| assess ongoing risk | 0.535628 |
| gastrointestinal symptoms | 0.542585 |
| formic acid | 0.529867 |
| methanol exposure deaths | 0.736299 |
| World Health Organization | 0.647251 |
| Epidemic methanol poisoning | 0.699994 |
| soft drink | 0.676271 |
| early medical assessment | 0.536547 |
| acute methanol poisoning | 0.702758 |
| local emergency department | 0.556176 |
| public health officials | 0.555032 |
| major toxicity | 0.585983 |
| public health communities | 0.554683 |
|
| Poison Control Centers | 0.543528 |
| 3Tennessee Poison Center | 0.542286 |
| latent period | 0.527012 |
| 1Epidemic Intelligence Service | 0.522079 |
| United States | 0.548094 |
| Environmental health criteria | 0.541311 |
| original MMWR paper | 0.521743 |
| methanol levels | 0.660935 |
| educational materials | 0.520581 |
| blood methanol level | 0.737446 |
| Toxic Exposure Surveillance | 0.632713 |
| prevention efforts | 0.537699 |
| community educators | 0.515294 |
| mucous membrane manifestations | 0.512846 |
| severe metabolic acidosis | 0.532611 |
| methanol | 0.974485 |
| ethyl alcohol | 0.546116 |
| police reports | 0.553471 |
| brief fact sheet | 0.52336 |
| methanol poisoning | 0.791732 |
| Tennessee Department | 0.689488 |
| methanol ingestion | 0.699058 |
| national poison control | 0.545793 |
| methyl alcohol poisoning | 0.525454 |
|
CLICK HERE |