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Pregnant? Get Tdap in Your Third Trimester | CDC Features |
Only you can give your baby protection against whooping cough before your little one is even born. Talk to your doctor or midwife about getting the Tdap vaccine during your third trimester. |
| treatment | 0.306227 |
| U.S. whooping cough | 0.488671 |
| CDC | 0.306529 |
| United States | 0.330409 |
| vaccines | 0.306323 |
| whooping cough vaccine | 0.871309 |
| short-term protection | 0.330299 |
| key reason | 0.331235 |
| numbers | 0.305904 |
| recommendation | 0.306604 |
| protection | 0.340923 |
| best way | 0.361091 |
| common side effects | 0.330952 |
| trouble breathing | 0.329429 |
| time period | 0.331337 |
| pregnant women | 0.331223 |
| pneumonia | 0.306407 |
| Gynecologists | 0.307499 |
| Obstetricians | 0.307406 |
| safety | 0.306431 |
| immune systems | 0.329783 |
| gap | 0.306579 |
| Tdap | 0.307258 |
| American College | 0.356702 |
|
| Severe side effects | 0.330665 |
| antibodies | 0.335805 |
| hospital | 0.311798 |
| deaths | 0.306045 |
| Nurse-Midwives | 0.308081 |
| disease | 0.314719 |
| goal | 0.306431 |
| early life | 0.360783 |
| pregnancy | 0.331356 |
| birth | 0.306925 |
| protective antibodies | 0.334222 |
| Talk | 0.307279 |
| trimester | 0.330612 |
| doctor | 0.307275 |
| whooping cough | 0.973109 |
| baby protection | 0.332575 |
| baby girl | 0.331682 |
| Laura | 0.306176 |
| midwife | 0.307955 |
| baby | 0.370877 |
| contagious illness | 0.33093 |
| babies—catch whooping cough | 0.487697 |
| greatest number | 0.331578 |
|
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Health Literacy - Develop Materials |
This page explains how to make information, products, and services accessible and understandable to intended audiences. This section includes resources to help you develop a wide-array of health information. |
| digital age | 0.330696 |
| actionable information | 0.368772 |
| accessibility | 0.225274 |
| Materials | 0.226426 |
| Plain Language resources | 0.459814 |
| Older Adults Communication | 0.449401 |
| wide-array | 0.228474 |
| large font | 0.331383 |
| section | 0.228518 |
| health information | 0.733458 |
| best way | 0.323931 |
| research | 0.22916 |
| products | 0.228775 |
| Health literacy practices | 0.463739 |
| Visual Communication | 0.337933 |
| ways | 0.257025 |
| human nature | 0.331423 |
| literacy best practices | 0.456435 |
| text | 0.224348 |
| bullets | 0.225061 |
| health professionals | 0.361271 |
| Tools resources | 0.3347 |
| useful captions | 0.334566 |
|
| images | 0.224368 |
| address | 0.226737 |
| health field | 0.336832 |
| Testing Messages | 0.344548 |
| main message statement | 0.443623 |
| useable format | 0.334943 |
| Americans | 0.226266 |
| services | 0.228753 |
| people | 0.483942 |
| health literacy barriers | 0.479474 |
| background information | 0.407478 |
| Multiple channels | 0.328114 |
| Key aspects | 0.344658 |
| intended audiences | 0.352119 |
| health literacy | 0.562366 |
| Web | 0.243521 |
| white space | 0.332595 |
| science | 0.225933 |
| older adults | 0.452458 |
| information | 0.91019 |
| decades | 0.229711 |
| sub-heads | 0.224293 |
| Audience tools | 0.337901 |
|
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Rape Prevention and Education (RPE) Program - Funded Programs - Violence Prevention - Injury Center |
null |
| sexual violence perpetration | 0.484743 |
| program evaluation data | 0.387399 |
| Northern Mariana Islands | 0.392465 |
| Violence Against Women | 0.42474 |
| state health departments | 0.404109 |
| sexual violence prevention | 0.794331 |
| sexual violence coalitions | 0.521238 |
| RPE programs | 0.442976 |
| state sexual violence | 0.55367 |
| CDC’s Injury | 0.351617 |
| poor mental health | 0.380902 |
| prevention programs | 0.391911 |
| Program activities | 0.355416 |
| community data | 0.347442 |
| long-term health consequences | 0.380029 |
| state agency partners | 0.396612 |
| prevention opportunities | 0.36399 |
| health protection agency | 0.384897 |
| Rape Prevention | 0.352022 |
| social change theories | 0.381187 |
| Primary prevention—stopping violence | 0.484812 |
| Puerto Rico | 0.346798 |
| behavior patterns | 0.345357 |
| rape crisis centers | 0.389701 |
|
| unhealthy behaviors | 0.344702 |
| RPE grantees | 0.467223 |
| program decisions | 0.351947 |
| safety data | 0.346938 |
| public health approach | 0.390363 |
| physical health problems | 0.382181 |
| public health burden | 0.38503 |
| diverse stakeholders | 0.347762 |
| U.S. Virgin Islands | 0.389544 |
| public health | 0.410933 |
| violence prevention systems | 0.510334 |
| 50 states | 0.353646 |
| sexual violence | 0.964221 |
| way individual | 0.344577 |
| community organizations | 0.35031 |
| RPE program | 0.554748 |
| violence prevention strategies | 0.480366 |
| best available evidence | 0.383725 |
| future program plans | 0.390893 |
| public health problem | 0.383831 |
| violence prevention efforts | 0.629467 |
| comprehensive prevention strategies | 0.394655 |
| educational institutions | 0.34988 |
| social norms | 0.346469 |
|
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Michael's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Michael, an Alaska Native, and member of the Tlingit tribe, has Chronic Obstructive Pulmonary Disease (COPD), a condition caused by smokinge. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| death | 0.339671 |
| —a condition | 0.551583 |
| lung disease | 0.487952 |
| video | 0.431864 |
| lung damage | 0.519407 |
| wisdom | 0.345209 |
| Alaska Native | 0.519555 |
| children | 0.345245 |
| Michael | 0.702912 |
| smoking | 0.458714 |
| Smokers® campaign | 0.524369 |
| lungs | 0.348506 |
| hospital | 0.340398 |
| CDC’s Tips | 0.747634 |
| TV commercial | 0.537605 |
| cigarette | 0.342302 |
|
| desire | 0.343274 |
| living | 0.341456 |
| grandchildren | 0.361675 |
| Smokers campaign | 0.498395 |
| place… | 0.339832 |
| flu | 0.348871 |
| morning | 0.339733 |
| doctor | 0.383212 |
| smoking—that | 0.346439 |
| Chronic Obstructive Pulmonary | 0.76661 |
| doctors | 0.341496 |
| constant fear | 0.520302 |
| family | 0.339069 |
| obstructive pulmonary disease | 0.904207 |
| COPD | 0.515401 |
|
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Board of Scientific Counselors | OID | CDC |
Learn more about the CDC's Board of Scientific Counselors, OID |
| people’s health | 0.572132 |
| Secretary | 0.434259 |
| national centers | 0.736735 |
| liaison representatives | 0.563563 |
| Human Services | 0.556407 |
| Public Health Agency | 0.659595 |
| federal advisory committees | 0.918599 |
| stakeholder | 0.451406 |
| oldest advisory committees | 0.72239 |
| priorities | 0.436296 |
| Department | 0.426408 |
| Directors | 0.426064 |
| infectious disease BSC | 0.779647 |
| ex officio members | 0.707141 |
|
| public engagement | 0.583609 |
| federal agencies | 0.546672 |
| goals | 0.425847 |
| CDC’s efforts | 0.740988 |
| Scientific Counselors | 0.590682 |
| strategies | 0.425883 |
| chair | 0.431641 |
| Director | 0.445093 |
| disease national centers | 0.665276 |
| commitment | 0.436925 |
| OID | 0.636798 |
| Mexico Ministry | 0.550831 |
| overall strategic direction | 0.682613 |
| programs | 0.425738 |
|
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Current Cigarette Smoking Among Adults - United States,2005-2013 |
Ahmed Jamal, MBBS1, Israel T. Agaku, DMD1, Erin O'Connor, MS1, Brian A. King, PhD1, John B. |
| John B. Kenemer | 0.474372 |
| sexual orientation | 0.467492 |
| U.S. civilian population | 0.469032 |
| higher prevalence | 0.491662 |
| National Health Interview | 0.481969 |
| direct health care | 0.480013 |
| randomly selected adult | 0.46704 |
| sexual orientation questions | 0.466264 |
| higher smoking prevalence | 0.583458 |
| current cigarette smokers | 0.574645 |
| tobacco control programs | 0.571099 |
| current cigarette smoking | 0.660109 |
| higher cigarette smoking | 0.559489 |
| comprehensive tobacco control | 0.52955 |
| comprehensive state tobacco | 0.482039 |
| high-impact anti-tobacco mass | 0.468909 |
| response rate | 0.466512 |
| U.S. Census region | 0.470502 |
| tobacco excise taxes | 0.478329 |
| tobacco products | 0.482027 |
| straight adults | 0.469127 |
| Health Organization MPOWER | 0.466241 |
| self-reported smoking status | 0.520586 |
| fund tobacco control | 0.480359 |
| cigarettes | 0.488892 |
|
| cigarette smoking status | 0.550388 |
| Israel T. Agaku | 0.474445 |
| greatest burden | 0.468985 |
| federal poverty level | 0.528192 |
| proportion | 0.470742 |
| United States | 0.50314 |
| LGB adults | 0.511795 |
| tobacco price increases | 0.492569 |
| Indian/Alaska Native | 0.475904 |
| status.¶ Current smoking | 0.536858 |
| cigarette smoking | 0.989685 |
| NHIS core questionnaire | 0.472012 |
| Brian A. King | 0.474398 |
| population smoking prevalence | 0.565598 |
| media campaigns | 0.467597 |
| General Education Development | 0.469915 |
| overall cigarette smoking | 0.550018 |
| comprehensive smoke-free policies | 0.470829 |
| U.S. adults | 0.625122 |
| daily smokers | 0.621023 |
| cigarette smoking prevalence | 0.975229 |
| tobacco control policies | 0.47988 |
| population-based interventions | 0.472601 |
| commonly used tobacco | 0.500513 |
|
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Impact of the Affordable Care Act on Access to Care for USAdults With Diabetes, 2011-2012 |
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. |
| uninsured people | 0.503936 |
| care services | 0.404653 |
| health insurance | 0.639566 |
| good diabetes care | 0.445313 |
| health care specific | 0.42206 |
| health insurance status | 0.400301 |
| health outcomes | 0.436161 |
| health care interventions | 0.41073 |
| health care reform | 0.456713 |
| high-income uninsured group | 0.419262 |
| undiagnosed diabetes | 0.39841 |
| health care access | 0.595807 |
| health care expenditures | 0.608782 |
| prescription drug expenditures | 0.403373 |
| uninsured persons | 0.45047 |
| National diabetes statistics | 0.410313 |
| proper diabetes care | 0.488712 |
| diabetes population | 0.396833 |
| health care costs | 0.448232 |
| Affordable Care Act | 0.429265 |
| diabetes preventive care | 0.477933 |
| uninsured face | 0.415521 |
| low-income uninsured adults | 0.437377 |
| health care patterns | 0.412939 |
|
| health care expenditure | 0.416992 |
| usual source | 0.438528 |
| MEPS Diabetes Care | 0.474689 |
| diabetes supplies | 0.398515 |
| FPL | 0.412747 |
| health insurance programs | 0.403664 |
| total health care | 0.418677 |
| diabetes care | 0.546645 |
| heart disease | 0.41061 |
| higher health care | 0.439053 |
| uninsured Americans | 0.399959 |
| health care | 0.92754 |
| out-of-pocket health care | 0.45623 |
| ACA | 0.414169 |
| uninsured face difficulties | 0.402983 |
| diabetes complications | 0.443773 |
| necessary health care | 0.413378 |
| medical care | 0.464739 |
| uninsured adults | 0.570207 |
| income groups | 0.478205 |
| diabetes management | 0.399385 |
| general uninsured population | 0.423282 |
| greater health care | 0.43177 |
| diabetes | 0.747893 |
|
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WHO African Region (AFR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO African Region (AFR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| National Influenza Centres | 0.442679 |
| Global Influenza Surveillance | 0.582612 |
| severe influenza | 0.436864 |
| epidemiological surveillance activities | 0.277822 |
| Disease Control | 0.323947 |
| Response Team Influenza | 0.469019 |
| new cooperative agreements | 0.250413 |
| CDC Influenza Division | 0.469029 |
| weekly data | 0.284912 |
| seasonal influenza vaccines | 0.460305 |
| virologic surveillance systems | 0.301852 |
| World Health Organization | 0.3117 |
| surveillance data | 0.2549 |
| Indian Ocean | 0.334367 |
| seasonal influenza | 0.491996 |
| non-research cooperative agreements | 0.262561 |
| countries | 0.295975 |
| National Influenza Reference | 0.446602 |
| Congo | 0.341046 |
| cooperative agreements | 0.54052 |
| Influenza Division | 0.655706 |
| virological surveillance | 0.417511 |
| influenza laboratory network | 0.78296 |
| Regional Office | 0.447955 |
| South Africa | 0.25278 |
|
| Central African Republic | 0.336241 |
| influenza | 0.907517 |
| influenza reference laboratories | 0.540822 |
| building influenza surveillance | 0.556235 |
| Regional Influenza Laboratory | 0.46283 |
| national influenza sentinel | 0.714012 |
| U.S. Centers | 0.32507 |
| sentinel surveillance protocol | 0.306943 |
| influenza B. | 0.382284 |
| Integrated Disease Surveillance | 0.284923 |
| Sierra Leone | 0.463866 |
| National Influenza Centers | 0.472623 |
| bilateral cooperative agreements | 0.271903 |
| pandemic influenza | 0.489988 |
| Zimbabwe sentinel surveillance | 0.288286 |
| sustainable surveillance | 0.252591 |
| on-site training | 0.297089 |
| influenza sentinel surveillance | 0.765904 |
| technical assistance | 0.277292 |
| African Region | 0.274677 |
| afr influenza laboratory | 0.572326 |
| African influenza laboratories | 0.510673 |
| Burkina Faso | 0.270376 |
| influenza viruses | 0.379237 |
|
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WHO European Region (EUR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO European Region (EUR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| clinical management | 0.381132 |
| avian influenza | 0.766005 |
| influenza laboratory techniques | 0.535215 |
| Pandemic Influenza | 0.598348 |
| influenza A viruses | 0.500934 |
| Respiratory Syndrome Coronavirus | 0.408002 |
| Global Influenza Surveillance | 0.612586 |
| severe influenza | 0.563566 |
| pandemic plan | 0.45017 |
| pandemic preparedness plans | 0.40126 |
| seasonal influenza viruses | 0.539801 |
| seasonal influenza vaccination | 0.539662 |
| Influenza activities | 0.49901 |
| CDC Influenza Division | 0.556579 |
| joint pandemic preparedness | 0.369518 |
| World Health Organization | 0.747315 |
| influenza activity | 0.490621 |
| seasonal influenza | 0.567265 |
| influenza pandemic | 0.540202 |
| severe influenza cases | 0.525681 |
| pandemic guidance | 0.388286 |
| Influenza Division | 0.704471 |
| influenza surveillance | 0.68412 |
| WHO/Europe influenza website | 0.526256 |
|
| Regional Office | 0.642364 |
| East Respiratory Syndrome | 0.402778 |
| pandemic preparedness | 0.510773 |
| acute respiratory infections | 0.39616 |
| influenza | 0.940592 |
| influenza surveillance meeting | 0.567505 |
| pandemic plan revisions | 0.371406 |
| novel influenza | 0.536431 |
| National Influenza Centers | 0.56559 |
| seasonal influenza vaccine | 0.529867 |
| Influenza Virus Vaccines | 0.518147 |
| Region influenza surveillance | 0.574902 |
| influenza season | 0.496526 |
| Middle East Respiratory | 0.402788 |
| respiratory pathogens programme | 0.695469 |
| European Region | 0.480515 |
| influenza vaccine uptake | 0.54476 |
| National Influenza Centre | 0.644213 |
| national pandemic plan | 0.423702 |
| influenza testing | 0.488127 |
| Member States | 0.398865 |
| EuroFlu influenza surveillance | 0.571885 |
| Sixty-one influenza laboratories | 0.519952 |
| Pandemic Influenza textbook | 0.587338 |
|
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Update: Influenza Activity - United States and Worldwide,May 22-September 10, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| influenza | 0.957922 |
| variant influenza viruses | 0.632391 |
| CDC influenza surveillance | 0.506881 |
| influenza infection | 0.527562 |
| influenza variant virus†| 0.523147 |
| trivalent influenza vaccine | 0.53027 |
| novel influenza | 0.596268 |
| avian influenza viruses | 0.560595 |
| quadrivalent influenza vaccine | 0.515022 |
| influenza information | 0.512543 |
| influenza A viruses | 0.58407 |
| influenza outbreaks | 0.534466 |
| Global Influenza Surveillance | 0.52445 |
| influenza activity levels | 0.523848 |
| U.S. influenza surveillance | 0.538405 |
| seasonal influenza viruses | 0.649766 |
| Hemisphere influenza vaccine | 0.529307 |
| influenza virus infection | 0.617151 |
| novel influenza viruses | 0.563491 |
| influenza antiviral medications | 0.556737 |
| Hemisphere influenza vaccines | 0.560062 |
| Southern Hemisphere influenza | 0.515339 |
| influenza vaccine | 0.648121 |
| overall influenza activity | 0.509243 |
|
| influenza B/Victoria-lineage component | 0.507274 |
| influenza season | 0.591125 |
| novel influenza virus | 0.568251 |
| influenza activity | 0.705853 |
| influenza vaccines | 0.603037 |
| influenza B/Yamagata-lineage component | 0.506221 |
| avian influenza infection | 0.523417 |
| influenza positive test | 0.537237 |
| recombinant influenza vaccine | 0.556104 |
| similar influenza transmission | 0.516764 |
| intranasal influenza vaccine | 0.514303 |
| Northern Hemisphere influenza | 0.582432 |
| influenza B/Yamagata-lineage viruses | 0.575673 |
| influenza B/Victoria-lineage viruses | 0.577034 |
| influenza transmission zones | 0.514033 |
| tropical influenza seasonality | 0.512154 |
| influenza surveillance | 0.58102 |
| influenza viruses | 0.808053 |
| annual influenza vaccination | 0.568606 |
| influenza variant virus | 0.510004 |
| influenza B virus | 0.516694 |
| influenza b viruses | 0.693499 |
| seasonal influenza activity | 0.550385 |
|
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