| 1138 |
Centers for Disease Control and Prevention |
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Hepatitis Awareness Month and National Hepatitis Testing Day- May 2014 |
In the United States, May is Hepatitis Awareness Month, and May 19 is National Hepatitis Testing Day. Although care and treatment can be life-saving, many of the estimated 800,000 to 1.4 million persons living with hepatitis B virus (HBV) infection and the estimated 3 million persons living with hepatitis C virus (HCV) infection are unaware of their infection and are not receiving necessary care and treatment (1). |
| foreign-born persons | 0.686322 |
| endorsement | 0.571254 |
| hepatitis B virus | 0.808252 |
| Human Services | 0.923111 |
| U.S. Department | 0.915427 |
| Project ECHO model | 0.798934 |
| MMWR HTML versions | 0.782569 |
| New York City | 0.79716 |
| San Diego | 0.660417 |
| electronic PDF version | 0.765866 |
| HBV testing | 0.788241 |
| National Hepatitis Testing | 0.969657 |
| Hepatitis Awareness | 0.815248 |
| issue | 0.54978 |
| Contact GPO | 0.680764 |
| necessary care | 0.693352 |
| Broader expansion | 0.655705 |
| commercial sources | 0.654833 |
| Viral Hepatitis | 0.788422 |
| current prices | 0.648173 |
| original paper copy | 0.759875 |
| Human Services Action | 0.81474 |
| programs | 0.607738 |
| predominantly rural settings | 0.783608 |
|
| videoconference | 0.530805 |
| treatment | 0.625412 |
| CDC activities | 0.713152 |
| United States | 0.682397 |
| original MMWR paper | 0.776638 |
| U.S. Government Printing | 0.769446 |
| appropriate care | 0.67073 |
| HCV testing | 0.75176 |
| MMWR readers | 0.664535 |
| character translation | 0.646597 |
| HCV primary care | 0.898143 |
| hepatitis C virus | 0.807177 |
| format errors | 0.648076 |
| HCV transmission | 0.725957 |
| Health | 0.571294 |
| MMWR reports | 0.678389 |
| typeset documents | 0.654932 |
| trade names | 0.654947 |
| official text | 0.64466 |
| non-CDC sites | 0.65581 |
| HBV infection | 0.820773 |
| national prevention goals | 0.801612 |
| Minneapolis-St | 0.532417 |
| electronic conversions | 0.644004 |
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| 6432 |
Centers for Disease Control and Prevention |
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Avian Influenza Related Links |
Avian Influenza Related Links, United States and International - CDC |
| Seasonal Flu | 0.693001 |
| instructions | 0.422098 |
| poultry | 0.425827 |
| avian influenza | 0.983545 |
| email address | 0.616798 |
| Food safety issues | 0.608122 |
| weekly email | 0.618949 |
| avian influenza outbreaks | 0.806789 |
| Avian Influenza Information | 0.824146 |
|
| U.S. Department | 0.523396 |
| world | 0.44963 |
| Northern Hemisphere | 0.533944 |
| current outbreaks | 0.542261 |
| infections | 0.4278 |
| Agriculture | 0.422694 |
| dead birds | 0.525633 |
| USDA | 0.431231 |
| General information | 0.51698 |
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| 6530 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - January 6, 2012 / 60(51);1748-1761 |
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. |
| provisional 4-week totals | 0.635803 |
| Mortality Tables | 0.48809 |
| equine encephalitis virus | 0.558041 |
| Mortality Weekly Report | 0.486702 |
| Viral hemorrhagic fever¶¶¶ | 0.478562 |
| provisional cases | 0.59396 |
| Hantavirus pulmonary syndrome§ | 0.481432 |
| Staphylococcus aureus§ | 0.480571 |
| New York City | 0.472397 |
| acute hepatitis | 0.499779 |
| 2011-12 influenza season | 0.485443 |
| Cum | 0.478135 |
| noncholera Vibrio species | 0.479573 |
| influenza A virus | 0.486854 |
| National Center | 0.542789 |
| CDC Home CDC | 0.490364 |
| Hemolytic uremic syndrome | 0.482062 |
| California serogroup virus | 0.499329 |
| meningococcal disease | 0.52074 |
| historical data | 0.52138 |
| Influenza Division | 0.476529 |
| Ñ?ЛП
Notifiable Diseases | 0.515214 |
| Cumulative year-to-date counts | 0.476792 |
| 2009 pandemic | 0.506521 |
|
| Respiratory Diseases | 0.473924 |
| NN | 0.99884 |
| United States | 0.726534 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.477504 |
| novel influenza | 0.5234 |
| I. Provisional cases | 0.508082 |
| 5-year weekly average†| 0.492009 |
| notifiable diseases | 0.67551 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.477293 |
| Eastern equine encephalitis | 0.487614 |
| pandemic influenza | 0.50929 |
| Influenza-associated pediatric mortality§ | 0.477714 |
| viral hemorrhagic fever | 0.473245 |
| Western equine encephalitis | 0.487274 |
| Polio virus Infection | 0.480995 |
| Total case counts | 0.473343 |
| notifiable disease reports | 0.624116 |
| current 4-week total | 0.488658 |
| Vector-Borne Infectious Diseases | 0.480187 |
| Chlamydia trachomatis infection | 0.473007 |
| TABLE I. | 0.488886 |
| dengue hemorrhagic fever | 0.475115 |
| subsequent 4-week periods | 0.484019 |
| West Nile virus | 0.479331 |
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| 6624 |
Centers for Disease Control and Prevention |
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Organ Systems and the Chemicals that Affect Them - Respiratory From the Nose to the Lungs |
The respiratory system starts with the nose, nasal cavities, paranasal sinuses, nasopharynx, and larynx. It continues with a conducting segment (trachea and bronchi) that enters the lungs. transitional segment made up of respiratory bronchioles and primary, secondary, and tertiary bronchioles moves air deep into the lungs. |
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| 7456 |
Centers for Disease Control and Prevention |
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A Brief History of NCEH | 1980-1995 History by Subject |
NCEH provides leadership to promote health & quality of life by preventing or controlling those diseases or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| spina bifida | 0.924091 |
| Orange Validation Study | 0.80179 |
| neural tube defects | 0.826163 |
| human exposure | 0.917446 |
| mental retardation | 0.826827 |
| Lead Poisoning Prevention | 0.78708 |
| elevated blood lead | 0.874793 |
| public health surveillance | 0.793728 |
| adverse reproductive outcomes | 0.792142 |
| state health departments | 0.79124 |
| new human exposure | 0.82723 |
| health care personnel | 0.786421 |
| results | 0.841901 |
| blood lead measurements | 0.824603 |
| developmental disabilities | 0.786802 |
| ambient ozone exposure | 0.798438 |
| human health effects | 0.80655 |
| prevention programs | 0.803712 |
| lethal chemical weapons | 0.813872 |
| TBA blood levels | 0.798492 |
| health studies | 0.795487 |
| risk factor study | 0.789805 |
| lead poisoning | 0.857703 |
| public health response | 0.827466 |
| Developmental Disabilities Study | 0.786506 |
|
| vietnam veterans | 0.808064 |
| health effects | 0.93344 |
| study | 0.885395 |
| similar dioxin levels | 0.789863 |
| epidemiologic studies | 0.805733 |
| adverse health effects | 0.820346 |
| exposure study measuring | 0.835244 |
| folic acid | 0.796401 |
| public health | 0.943283 |
| blood spots | 0.78973 |
| New York | 0.78685 |
| national environmental health | 0.832117 |
| dioxin exposure | 0.804119 |
| birth defects | 0.871567 |
| environmental tobacco smoke | 0.806447 |
| serum dioxin levels | 0.814826 |
| Cohort study results | 0.812286 |
| public health assistance | 0.791679 |
| epidemiologic study | 0.787421 |
| Methyl Parathion Exposure | 0.786119 |
| childhood lead poisoning | 0.845907 |
| blood lead reference | 0.790444 |
| Syndrome Prevalence Study | 0.797585 |
| National Human Exposure | 0.824754 |
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Centers for Disease Control and Prevention |
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Text Messaging Guidelines & Best Practices |
Basic information from CDC about breast cancer. |
| American adults | 0.26616 |
| CDC’s National | 0.262728 |
| phone numbers | 0.293087 |
| opt-out message | 0.325033 |
| common abbreviations | 0.264358 |
| Disease Control | 0.266724 |
| social media tools | 0.312645 |
| Information System Security | 0.263642 |
| traditional Web sites | 0.299216 |
| communications science clearance | 0.316712 |
| compelling text messages | 0.372572 |
| program resources | 0.26324 |
| Text Messaging Projects | 0.407294 |
| Chief Information Officer | 0.308293 |
| Wireless Association | 0.266201 |
| entire message | 0.269559 |
| interesting text messages | 0.350171 |
| opt-out instructions | 0.371799 |
| text messages | 0.795253 |
| New Text Messaging | 0.486236 |
| text message | 0.37463 |
| health communication activities | 0.322257 |
| mobile phone | 0.311715 |
| health communications campaign | 0.315485 |
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| text messaging project | 0.926827 |
| Text messaging systems | 0.400517 |
| large portion | 0.26248 |
| Digital Media Branch | 0.30994 |
| occasional text messages | 0.368247 |
| general population | 0.262273 |
| text message programs | 0.367913 |
| target audience | 0.307609 |
| important health messages | 0.356914 |
| Health Communication Science | 0.322704 |
| mobile text | 0.293353 |
| health communications program | 0.328685 |
| Text messaging programs | 0.421583 |
| easy way | 0.265237 |
| text messaging service | 0.409354 |
| mobile Web site | 0.297343 |
| text messaging plan | 0.409989 |
| health communications | 0.352526 |
| CDC text | 0.299061 |
| 160-character messages | 0.293496 |
| health marketing | 0.269401 |
| EMB staff | 0.26511 |
| Contact DMB | 0.267088 |
| larger integrated health | 0.414231 |
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| 10045 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | From Menu to Mouth: Opportunities for Sodium Reduction in Restaurants - CDC |
Restaurant foods can be a substantial source of sodium in the American diet. According to the Institute of Medicine, the significant contribution made by restaurants and food service menu items to Americans’ sodium intake warrants targeted attention. Public health practitioners are uniquely poised to support sodium-reduction efforts in restaurants and help drive demand for lower-sodium products through communication and collaboration with restaurant and food service professionals and through incentives for restaurants. This article discusses the role of the public health practitioner in restaurant sodium reduction and highlights select strategies that have been taken by state and local jurisdictions to support this effort. |
| new restaurants | 0.376352 |
| nutrition information | 0.435206 |
| area restaurants | 0.359726 |
| public health practitioners | 0.62175 |
| chain restaurants | 0.412068 |
| entrée menu items | 0.350375 |
| Lower sodium intake | 0.548008 |
| pizza restaurants | 0.376107 |
| New York City | 0.393032 |
| sodium reduction | 0.840382 |
| privately owned restaurants | 0.391872 |
| local restaurants | 0.365283 |
| sodium reductions | 0.525476 |
| food service | 0.454404 |
| public health practitioner | 0.392115 |
| sodium content | 0.765208 |
| Large restaurants | 0.351098 |
| Darden Restaurants | 0.366289 |
| sodium | 0.93537 |
| restaurant sodium reduction | 0.667274 |
| food supply | 0.410789 |
| sodium intake warrants | 0.554808 |
| Nutrition Facts | 0.357611 |
| restaurants | 0.684475 |
| Excess sodium consumption | 0.529844 |
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| sodium intake | 0.82442 |
| fast-food restaurant foods | 0.361383 |
| current restaurant food | 0.349062 |
| United States | 0.538889 |
| Reduce Sodium Intake | 0.483812 |
| average sodium content | 0.547321 |
| sodium decreases | 0.447493 |
| restaurant foods | 0.633089 |
| population sodium intake | 0.559004 |
| away-from-home sodium intake | 0.490758 |
| Current sodium reduction | 0.498301 |
| sit-down restaurants | 0.406283 |
| healthful menu items | 0.351764 |
| sodium exposure | 0.453886 |
| public health | 0.767519 |
| New York | 0.403475 |
| food service menu | 0.376363 |
| gradual sodium reductions | 0.48441 |
| menu items | 0.655318 |
| independent restaurants | 0.547117 |
| current sodium levels | 0.518675 |
| sodium education | 0.469023 |
| locally owned restaurants | 0.368613 |
| food service professionals | 0.389751 |
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Centers for Disease Control and Prevention |
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Tools for Cross-Cultural Communication and Language Access Can Help Organizations Address Health Literacy and Improve Communication Effectiveness |
CDC Health Literacy Tools for cross-cultural communication and language access can increase your organization’s communication effectiveness by recognizing and bridging culture differences. |
| Health Literacy guide | 0.691742 |
| Health professionals | 0.55961 |
| portal supports NIH | 0.622106 |
| language | 0.74945 |
| health information | 0.577225 |
| native language | 0.556753 |
| Minority Health | 0.564068 |
| health outcomes | 0.557006 |
| health disparities | 0.750608 |
| interpreter quality | 0.540621 |
| comprehensive Language Access | 0.651482 |
| respectful quality care | 0.619907 |
| cultural competency | 0.611978 |
| health care facility | 0.659222 |
| communication | 0.783805 |
| American Translators Association | 0.605061 |
| Language Access Portal | 0.652955 |
| limited english proficiency | 0.832005 |
| linguistically appropriate healthcare | 0.64528 |
| in-group languages | 0.553351 |
| weak literacy | 0.563351 |
| Linguistically Appropriate Services | 0.663924 |
| primary audience | 0.625945 |
| health disparity populations | 0.675462 |
| communication effectiveness | 0.57703 |
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| successful communication | 0.564198 |
| group membership | 0.554063 |
| health literacy skills | 0.912999 |
| cultural health beliefs | 0.675593 |
| U.S. Census Bureau | 0.603456 |
| language differences | 0.64883 |
| non-English speaking populations | 0.627721 |
| everyday language | 0.653891 |
| Effective Communication | 0.548151 |
| multiple languages | 0.541507 |
| communication needs | 0.548885 |
| cultural group | 0.630097 |
| major health disparities | 0.691149 |
| cultural differences | 0.665315 |
| communication exchange | 0.658289 |
| language preferences | 0.546172 |
| federal agencies | 0.631708 |
| public health | 0.578512 |
| Language Assistance Services | 0.657441 |
| languages | 0.646964 |
| communication rules | 0.570417 |
| people | 0.691934 |
| communication expectations | 0.548899 |
| cross-cultural communications skills | 0.617946 |
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Centers for Disease Control and Prevention |
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¿Por qué hay que reaccionar pronto? - Especiales CDC - CDC en Español |
Si está preocupado por el desarrollo de su hijo, no espere. Usted es quien conoce mejor a su hijo. Use una lista de control de indicadores del desarrollo, hable con el médico de su hijo y llame al programa de intervención temprana de su área. |
| Archivo Apple Quicktime | 0.823706 |
| Archivo RealPlayer | 0.748573 |
| Their Families | 0.741057 |
| Archivo Microsoft PowerPoint | 0.846922 |
| Archivo Adobe PDF | 0.831631 |
| Archivo Microsoft | 0.991251 |
| llamadas circuitos | 0.730359 |
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| Archivo Microsoft Word | 0.844128 |
| Archivo Texto | 0.739017 |
| Archivo Zip Comprimido | 0.821744 |
| Early Intervention | 0.742521 |
| máximo potencial | 0.733413 |
| Archivo Microsoft Excel | 0.826105 |
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| 14122 |
Centers for Disease Control and Prevention |
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Alcohol Screening and Counseling |
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