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Healthy Eating for a Healthy Weight: Planning Meals |
Since high-calorie foods are everywhere, it's important to take the time to plan ahead to make sure you have healthy options available. Learn more... |
| favorite cook book | 0.844822 |
| healthy shelf-stable treats | 0.839819 |
| ground sirloin | 0.745475 |
| lower calorie meal | 0.831991 |
| dry beans | 0.765495 |
| fewer calories | 0.801456 |
| food aisles | 0.745909 |
| ground meat | 0.738099 |
| fresh vegetables | 0.733407 |
| black beans | 0.769342 |
| larger group | 0.74191 |
| solid fat | 0.763804 |
| upcoming meals | 0.771985 |
| cream soups | 0.757367 |
| meat sauces | 0.750325 |
| skinless ground turkey | 0.846833 |
| low-fat deli | 0.785099 |
| good place | 0.748666 |
| weight goals | 0.735147 |
| healthy options | 0.869795 |
| vegetable sauces | 0.736991 |
| grocery store | 0.734416 |
| high-calorie foods | 0.749807 |
| vegetable-based soups | 0.756756 |
| food section | 0.739544 |
|
| grocery list | 0.736697 |
| healthy evening meal | 0.887195 |
| daily food group | 0.861512 |
| kidney beans | 0.766682 |
| cheese sauces | 0.739853 |
| low-fat cheeses | 0.776333 |
| calorie allowance | 0.753927 |
| food choices | 0.789547 |
| ground beef | 0.734343 |
| low-fat cream soup | 0.913702 |
| canned white beans | 0.875783 |
| green beans | 0.774114 |
| vegetables | 0.747006 |
| non-stick cooking spray | 0.840867 |
| lower-calorie ingredients | 0.736956 |
| low-fat cheese | 0.803493 |
| better choices | 0.746358 |
| fat-free milk products | 0.818654 |
| calories | 0.838538 |
| Protein choices | 0.74323 |
| added sugars | 0.817245 |
| car glove box | 0.824785 |
| favorite meals | 0.770639 |
| meat sauce | 0.736981 |
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Global Health - South Africa - CDC's HIV Prevention Programs: Counseling and Testing |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| rapid testing | 0.328539 |
| new HIV infections | 0.521188 |
| South Africa partners | 0.462279 |
| discordant partners | 0.319858 |
| HSRC Survey | 0.317262 |
| quality CT services | 0.477192 |
| Tutu TB Centre | 0.390241 |
| voluntary counseling | 0.333825 |
| Disease Control | 0.318746 |
| community wellness campaigns | 0.370921 |
| HIV status | 0.588073 |
| counseling individuals | 0.323114 |
| AIDS prevention | 0.323983 |
| comprehensive package | 0.319151 |
| Supports PICT implementation | 0.380181 |
| essential CT services | 0.431222 |
| different target populations | 0.401323 |
| Western Cape provinces | 0.390403 |
| home based testing | 0.565926 |
| South Africa | 0.918336 |
| CT activities | 0.349841 |
| training health-care workers | 0.393242 |
| home-based counseling | 0.332177 |
| home based counselling | 0.39873 |
|
| U.S. Centers | 0.318791 |
| national CT program | 0.582142 |
| routine CT | 0.337118 |
| Western Cape Province | 0.392075 |
| HIV prevalence | 0.388218 |
| policy development | 0.319994 |
| mobile testing sites | 0.438145 |
| Population Services International | 0.385956 |
| regular HIV testing | 0.564563 |
| technical assistance | 0.317846 |
| HIV transmission | 0.398019 |
| pivotal role | 0.322253 |
| north west province | 0.511249 |
| HCT programmes | 0.317836 |
| TB/HIV Care Association | 0.384373 |
| critical information | 0.320584 |
| Global AIDS Program | 0.42595 |
| important entry point | 0.419698 |
| home based counseling | 0.42183 |
| couple counseling | 0.617642 |
| Africa s National | 0.349886 |
| testing services | 0.341483 |
| combination prevention activities | 0.377666 |
| HCT workplace program | 0.388915 |
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Global Health - Jordan |
CDC has been working in Jordan since November 1998. CDC works with the Jordan Ministry of Health (MoH) to build human workforce capacity and to improve the use of data at all levels of the MoH. |
| Content source | 0.41731 |
| human workforce capacity | 0.979666 |
| health systems | 0.418557 |
| CDC | 0.508021 |
| non-federal site | 0.510714 |
|
| chronic diseases | 0.436028 |
| particularly cardiovascular diseases | 0.832955 |
| infectious diseases | 0.447686 |
| health risk areas | 0.778847 |
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Pertussis: Frequently Asked Questions |
Frequently Asked Questions about Pertussis |
| disease-causing bacteria types | 0.359753 |
| recommended pertussis vaccines | 0.618758 |
| United States | 0.548971 |
| pertussis transmission | 0.532949 |
| one-time Tdap booster | 0.373373 |
| protection | 0.373023 |
| babies | 0.440858 |
| best way | 0.412052 |
| good cough | 0.362513 |
| immunity | 0.352205 |
| Pertussis spreads | 0.518647 |
| pertussis coughing fit | 0.562798 |
| pertussis outbreaks | 0.547278 |
| life-threatening pauses | 0.372262 |
| pertussis symptoms | 0.58203 |
| pregnant women | 0.37848 |
| children | 0.355244 |
| pertussis cases | 0.538801 |
| chronic neurological problems | 0.411964 |
| mild cough | 0.365507 |
| worst cough | 0.364919 |
| fully vaccinated person | 0.362113 |
| healthcare professionals | 0.380936 |
|
| recent genetic changes | 0.358063 |
| DTaP vaccines | 0.446251 |
| disease | 0.384654 |
| acellular pertussis vaccines | 0.680723 |
| pertussis bacteria | 0.533776 |
| pertussis vaccines | 0.931029 |
| infect many babies | 0.347005 |
| pertussis infection | 0.533707 |
| cell pertussis vaccines | 0.60873 |
| Public health experts | 0.479272 |
| people | 0.378645 |
| effective tool doctors | 0.358616 |
| maximum protection | 0.342284 |
| whooping cough | 0.408055 |
| Tdap booster dose | 0.440514 |
| severe coughing | 0.345704 |
| effective acellular vaccine | 0.371076 |
| natural infection | 0.340003 |
| pertussis vaccination | 0.573678 |
| Pertactin-Negative Pertussis Strains | 0.547066 |
| bad cough | 0.364645 |
| age-appropriate vaccine | 0.342708 |
| large scale outbreaks | 0.364994 |
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Global Smoking - Health Communication |
Global Smoking - Gateway to Health Communication - CDC |
| smoking rates | 0.645604 |
| smoking-related disease | 0.466943 |
| smoking related illnesses | 0.673852 |
| Western Pacific Region | 0.558377 |
| secondhand tobacco smoke | 0.816486 |
| immediate harmful effects | 0.545239 |
| poorest households | 0.446376 |
| fewer restrictions | 0.445048 |
| public health warnings | 0.557509 |
| smoke increases | 0.52094 |
| tobacco | 0.950649 |
| unchecked markets | 0.444929 |
| secondhand smoke | 0.914282 |
| nasal sinus cancer | 0.542543 |
| tobacco industry | 0.573488 |
| tobacco products | 0.549839 |
| Tobacco promotions | 0.570858 |
| chronic airway obstruction | 0.573042 |
| developed world | 0.447533 |
| preventable deaths | 0.483437 |
| smoking related-diseases | 0.739575 |
| unchecked advertising markets | 0.561291 |
| United States | 0.455985 |
| negative health effects | 0.533088 |
| smokers | 0.431567 |
|
| young people | 0.450841 |
| premature death | 0.431297 |
| tobacco advertising | 0.731207 |
| percent | 0.493904 |
| tobacco promotion ads | 0.658106 |
| respiratory tract infections | 0.532655 |
| heart disease | 0.657284 |
| infant death syndrome | 0.532702 |
| smoking | 0.910406 |
| related diseases | 0.447497 |
| lung diseases | 0.445274 |
| global smoking problem | 0.730622 |
| worldwide start smoking | 0.721293 |
| harmful effects | 0.557684 |
| Current trends | 0.451298 |
| United Kingdom | 0.455923 |
| Cigarette smoking | 0.618933 |
| people | 0.505253 |
| risk factor | 0.435377 |
| tobacco companies | 0.947038 |
| Current statistics | 0.44233 |
| tobacco epidemic | 0.556846 |
| risk | 0.462957 |
| Gates Foundation | 0.439317 |
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Vital Signs Telebriefing on Cigarette Smoking among Adults with Mental Illness |
Vital Signs Telebriefing on Cigarette Smoking among Adults with Mental Illness |
| smoking rates | 0.480582 |
| mental health | 0.637194 |
| highest smoking rates | 0.406642 |
| big mental health | 0.421209 |
| mental illness. | 0.760043 |
| smoking related sickness | 0.401101 |
| Okay. Thank | 0.400048 |
| smoking cessation treatments | 0.398062 |
| mental illness institutions | 0.442776 |
| mental illness. Doug | 0.412587 |
| large mental health | 0.408187 |
| mental health care. | 0.412368 |
| tobacco | 0.442456 |
| health care providers | 0.392972 |
| current cigarette smoking | 0.401395 |
| mental health services | 0.445812 |
| mental illness | 0.976384 |
| doug tipperman | 0.487193 |
| tom frieden | 0.831326 |
| mental illnesses | 0.389974 |
| better address smoking | 0.403344 |
| mental illness. Anxiety | 0.395831 |
| certain mental illnesses | 0.386414 |
| smoking cessation | 0.431237 |
| mental illness. SAMHSA | 0.41863 |
|
| mental health facilities. | 0.399677 |
| high smoking rates | 0.408403 |
| mental illness smoke | 0.432569 |
| mental health facilities | 0.432469 |
| mental illness face | 0.44396 |
| TOM SKINNER | 0.395686 |
| lower smoking rates | 0.389046 |
| mental health condition. | 0.420689 |
| smoking cessation program | 0.395808 |
| mental health consumers | 0.408629 |
| smoking | 0.582447 |
| substance abuse | 0.472835 |
| Dr. Tom Frieden | 0.415016 |
| mental illness quit | 0.471497 |
| question | 0.426196 |
| people | 0.596482 |
| david beasley | 0.469895 |
| Smoking Cessation Campaign | 0.404619 |
| mental health care | 0.487477 |
| smoking cessation. | 0.386085 |
| mental health practitioners | 0.408589 |
| Dr. Frieden | 0.414728 |
| Smoking Cessation Leadership | 0.40495 |
| tobacco control | 0.40291 |
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Preventing Chronic Disease | Multiple Chronic Medical Conditions and Health-Related Quality of Life in Older Adults, 2004"2006 - CDC |
Understanding longitudinal relationships among multiple chronic conditions, limitations in activities of daily living, and health-related quality of life is important for identifying potential opportunities for health promotion and disease prevention among older adults. |
| new chronic conditions | 0.410455 |
| cancer treatment | 0.393722 |
| MCCs | 0.771574 |
| mental health | 0.417257 |
| functional limitations | 0.6011 |
| multiple chronic conditions | 0.690351 |
| initial MCCs | 0.436663 |
| additional MCCs | 0.463598 |
| longitudinal health outcomes | 0.374689 |
| baseline ADLs | 0.376799 |
| daily living | 0.571442 |
| Health Outcomes Survey | 0.497233 |
| 2-year follow-up | 0.420498 |
| health-related quality | 0.4271 |
| baseline mccs | 0.499001 |
| worse HRQOL | 0.406875 |
| health care services | 0.377529 |
| chronic medical conditions | 0.374682 |
| 6-item ADL limitations | 0.451617 |
| new MCCs | 0.509002 |
| 2-year period | 0.404019 |
| follow-up survey | 0.387768 |
| follow-up surveys | 0.384534 |
| better care coordination | 0.372276 |
| new ADL limitations | 0.464311 |
|
| medical conditions | 0.387524 |
| HRQOL | 0.513598 |
| incident rate ratios | 0.411701 |
| ADL limitations | 0.901514 |
| study | 0.42774 |
| additional ADL limitations | 0.449387 |
| changes | 0.391692 |
| longer follow-up periods | 0.388379 |
| telephone follow-up interview | 0.405671 |
| follow-up time period | 0.427321 |
| follow-up data | 0.409972 |
| Medicare Health Outcomes | 0.497617 |
| additional chronic conditions | 0.376104 |
| public health | 0.430924 |
| health care | 0.407559 |
| health | 0.569891 |
| annual household income | 0.374326 |
| follow-up mccs | 0.520495 |
| chronic conditions | 0.749001 |
| physical activity | 0.406746 |
| core HRQOL measures | 0.389747 |
| activities | 0.393285 |
| older adults | 0.912649 |
| baseline HRQOL | 0.373826 |
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Cross-Program Information'Grantee Information'DHDSP'CDC |
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| cardiovascular disease | 0.730005 |
| engagement | 0.260454 |
| cross-cutting information | 0.930199 |
| Stroke Prevention | 0.881764 |
| collaboration | 0.209792 |
|
| resources | 0.219478 |
| sustainability | 0.242491 |
| tools | 0.218593 |
| program efforts | 0.756424 |
| Heart Disease | 0.730862 |
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CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - May 2, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.87136 |
| Large-scale polio vaccination | 0.498203 |
| GPEI partners | 0.363403 |
| polio eradication plans | 0.568361 |
| polio eradication | 0.987617 |
| Polio incidence | 0.473627 |
| polio outbreaks | 0.488265 |
| public health volunteers | 0.36164 |
| Polio Eradication Effort | 0.607644 |
| wild poliovirus | 0.382679 |
| vaccination campaign planning | 0.367209 |
| CDC’s Emergency | 0.382967 |
| United Nations Children | 0.362918 |
| AFP cases | 0.356581 |
| polio eradication activities | 0.638148 |
| final push | 0.364252 |
| CDC Director Thomas | 0.413947 |
| Melinda Gates Foundation | 0.361083 |
| CDC resources | 0.376756 |
| polio worldwide | 0.492626 |
| Independent Monitoring Board | 0.358159 |
| EOC operational structure | 0.390495 |
| polio vaccination campaigns | 0.563425 |
| CDC’s engagement | 0.372688 |
|
| global polio surveillance | 0.510739 |
| entire CDC community | 0.405127 |
| Polio Eradication Initiative | 0.602449 |
| World Health Organization | 0.420164 |
| outbreak response protocols | 0.357148 |
| timely technical expertise | 0.36213 |
| polio eradication progress | 0.5644 |
| polio cases | 0.517365 |
| in-country technical expertise | 0.36153 |
| Democratic Republic | 0.36119 |
| CDC’s EOC | 0.404168 |
| polio vaccination campaign | 0.511174 |
| countries | 0.368587 |
| CDC’s polio | 0.530042 |
| Epidemiologic Record/CDC Morbidity | 0.359924 |
| enhanced capacity | 0.362434 |
| CDC polio eradication | 0.677198 |
| polio surveillance | 0.555561 |
| technical expertise | 0.365339 |
| finish line | 0.36041 |
| Dr. Frieden | 0.37229 |
| endemic countries | 0.362548 |
| polio eradication efforts | 0.628378 |
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For General Healthcare Settings in West Africa: Four Keys toInfection Control | Ebola Hemorrhagic Fever | CDC |
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| general healthcare settings1 | 0.360574 |
| Ebola treatment unit | 0.438945 |
| Ebola care centers | 0.462401 |
| importance | 0.214832 |
| ETU | 0.21568 |
| numerous medical problems | 0.353954 |
| aspects | 0.215261 |
| step-by-step framework | 0.278784 |
| infection control | 0.820259 |
| greater awareness | 0.282889 |
| ETUs | 0.217232 |
| ECCs | 0.217205 |
| gown | 0.219473 |
| Ebola virus | 0.729921 |
| gloves | 0.215274 |
| variety | 0.229115 |
| defense | 0.216419 |
| Infection control guidance | 0.401605 |
| infections | 0.217861 |
| international healthcare facilities | 0.350588 |
| lines | 0.215839 |
| infection control practices | 0.693548 |
| infection control plan | 0.51922 |
| well-established infection prevention | 0.400281 |
|
| uninfected patients | 0.282758 |
| lives | 0.215267 |
| adherence | 0.217773 |
| transmissible pathogens | 0.288356 |
| germ | 0.219729 |
| PUIs | 0.263667 |
| prioritizes | 0.221121 |
| patient care | 0.283494 |
| well-considered plan | 0.284014 |
| pair | 0.216574 |
| general healthcare settings | 0.933122 |
| confirmed EVD | 0.287206 |
| widespread Ebola transmission | 0.48158 |
| EVD | 0.310496 |
| site | 0.2326 |
| Ebola treatment units | 0.462637 |
| healthcare workers | 0.610865 |
| investigation | 0.217032 |
| Ebola patients | 0.379086 |
| information | 0.214898 |
| infection control procedures | 0.403829 |
| conditions | 0.215596 |
| West African countries | 0.378423 |
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