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Protect Babies from Whooping Cough (Pertussis) | CDC Features |
Whooping cough is a serious disease that can cause babies to stop breathing. You can help protect babies from whooping cough by getting your vaccine and making sure your baby gets his vaccines. |
| old get DTaP | 0.425659 |
| CDC | 0.429409 |
| runny nose | 0.426953 |
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| Parents | 0.405792 |
| best way | 0.42569 |
| pertussis | 0.406959 |
| time period | 0.426697 |
| tetanus | 0.406223 |
| best protection | 0.426094 |
| Young babies | 0.445433 |
| Tdap | 0.42461 |
| mild cough | 0.495601 |
| important ways | 0.427025 |
| early life | 0.426759 |
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| Pregnant women | 0.426259 |
| older children | 0.425569 |
| gives information | 0.427391 |
| older siblings | 0.428382 |
| cough vaccine recommendations | 0.524791 |
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| common cold | 0.449386 |
| severe cough | 0.495586 |
| doses | 0.411607 |
|
| baby indirect protection | 0.449576 |
| babies short-term protection | 0.462677 |
| whooping cough vaccine | 0.612205 |
| adults | 0.405603 |
| high levels | 0.426639 |
| protection | 0.49019 |
| babies | 0.502561 |
| rapid coughing fits | 0.449203 |
| trouble breathing | 0.42917 |
| body enough time | 0.424268 |
| pneumonia | 0.413461 |
| whooping cough vaccines | 0.642363 |
| close contact | 0.458537 |
| United States help | 0.451206 |
| hospital | 0.405689 |
| diphtheria | 0.406346 |
| Vaccine protection | 0.429297 |
| disease | 0.438387 |
| People | 0.412031 |
| protective antibodies | 0.427649 |
| early protection | 0.427569 |
| whooping cough | 0.989577 |
| severe coughing | 0.430385 |
| contagious disease | 0.430644 |
|
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A Polio-Free US Thanks to Vaccine Efforts | CDC Features |
Thanks to effective vaccine, the United States has been polio-free since 1979. But poliovirus is still a threat in some countries. Be part of the success story and get your child vaccinated on schedule. |
| success story | 0.498423 |
| original vaccine series | 0.633937 |
| insurance provider | 0.487229 |
| additional dose | 0.484728 |
| person’s brain | 0.491693 |
| best protection | 0.488857 |
| health care professionals | 0.573882 |
| travel vaccination | 0.488938 |
| one-time booster shot | 0.563072 |
| polio cases | 0.631733 |
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| twentieth century | 0.48292 |
| child | 0.526579 |
| U.S. vaccination efforts | 0.571985 |
| polio vaccine | 0.961607 |
| United States | 0.735466 |
| vaccines | 0.501784 |
| polio outbreaks | 0.640764 |
| fewest cases | 0.502031 |
| adult polio vaccination | 0.728404 |
| vaccine doses | 0.60051 |
| deadly infectious disease | 0.579667 |
| world | 0.465847 |
| timely travel health | 0.554123 |
|
| Thanks | 0.441759 |
| complete protection | 0.479654 |
| spinal cord | 0.489679 |
| combination vaccine | 0.576595 |
| eligible children | 0.488542 |
| fewest places | 0.504147 |
| health insurance plans | 0.563682 |
| Health website | 0.484215 |
| Visit CDC | 0.47684 |
| people | 0.444356 |
| doctor | 0.449154 |
| schedule | 0.453013 |
| effective vaccine | 0.602977 |
| success rate | 0.487185 |
| state VFC coordinator | 0.552045 |
| sufficient vaccine protection | 0.64942 |
| Children Program | 0.485101 |
| late 1940s | 0.484557 |
| risk | 0.463086 |
| information | 0.442975 |
| departure date | 0.481825 |
| onetime booster shot | 0.568887 |
| contagious disease | 0.483349 |
| Public health officials | 0.553033 |
|
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CDC A-Z Index - R |
CDC A-Z Index |
| Microsoft PowerPoint file | 0.589151 |
| Institutional Review Boards | 0.552563 |
| Rat-Bite Fever | 0.750333 |
| Radio Frequency Fields | 0.714154 |
| Respiratory Syncytial Virus | 0.723563 |
| (German Measles) | 0.696318 |
| Microsoft Word file | 0.592847 |
| Raccoon Roundworm Infection | 0.640147 |
| Registry Plus™—Software Programs | 0.565702 |
| Search Form Controls | 0.759193 |
| Syncytial Virus Infection | 0.766639 |
| Republic | 0.616561 |
| Mountain Spotted Fever | 0.76482 |
| Respiratory Health | 0.561149 |
| Disease Control | 0.558529 |
| Migrant Health | 0.566757 |
| A-Z Index | 0.95394 |
| Rift Valley Fever | 0.791475 |
| Research Protection Program | 0.558814 |
| Rickettsia rickettsii Infection | 0.781553 |
| Microsoft Excel file | 0.587552 |
| Baylisascaris Infection | 0.566645 |
| Rotavirus Infection | 0.578805 |
|
| Contact CDC | 0.599542 |
| Rheumatoid Arthritis | 0.581632 |
| South Sudan | 0.567305 |
| Search The CDC | 0.642165 |
| page options Skip | 0.61545 |
| Search Controls | 0.530578 |
| Form Controls TOPIC | 0.584939 |
| Clifton Road Atlanta | 0.546739 |
| Vaccine Adverse Event | 0.57125 |
| (Rheumatoid Arthritis) | 0.578792 |
| different file formats | 0.590792 |
| Air Pollution | 0.543666 |
| [Dermatophyte Infection] | 0.632154 |
| Fever Group Rickettsia | 0.697838 |
| Diagnostic Testing Training | 0.56805 |
| Spotted Fever Group | 0.757931 |
| Apple Quicktime file | 0.583896 |
| Rocky Mountain Spotted | 0.686337 |
| Recreational Water Illness | 0.708359 |
| Records Notices | 0.552649 |
| (Rat-Bite Fever) | 0.721566 |
| Ryan White Act | 0.555932 |
| CDC A-Z Index | 0.831594 |
|
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Realizing and allocating savings from improving health care quality and efficiency |
null |
| health care spending | 0.417307 |
| health service providers | 0.338865 |
| Veterans Health Administration | 0.348092 |
| health provider systems | 0.367875 |
| quality improvement | 0.768633 |
| evidence-based health research | 0.413424 |
| savings | 0.430318 |
| health technology | 0.322288 |
| future savings | 0.327853 |
| business case | 0.320428 |
| health care professionals | 0.413018 |
| Health Care Strategies | 0.400605 |
| health care expenditures | 0.447479 |
| health systems | 0.351199 |
| population health | 0.454125 |
| health care services | 0.560287 |
| Intermountain Health Care | 0.40352 |
| health plans | 0.381752 |
| value dividend | 0.353256 |
| health care quality | 0.463756 |
| E. Improved health | 0.339248 |
| overall population health | 0.362642 |
| European health reforms | 0.333674 |
| quality improvement movement | 0.406335 |
|
| quality improvement science | 0.354822 |
| health care technology | 0.415677 |
| United States | 0.358743 |
| Population health considerations | 0.332125 |
| government health agencies | 0.369119 |
| health information technology | 0.417604 |
| net Medicare savings | 0.323139 |
| American health politics | 0.338781 |
| health services | 0.445215 |
| integrated delivery systems | 0.331605 |
| health care | 0.94547 |
| public health perspective | 0.348442 |
| health care systems | 0.390303 |
| continuous quality improvement | 0.414289 |
| health care coverage | 0.433199 |
| health expenditures | 0.345958 |
| formal quality improvement | 0.350738 |
| community health interventions | 0.380666 |
| large provider organizations | 0.411179 |
| Health Care Financing | 0.417077 |
| policy makers | 0.443996 |
| Community Care program | 0.319392 |
| Health Serv Res | 0.332544 |
| systematic reviews | 0.395329 |
|
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MMWR - Staff |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Dr. Casey | 0.714869 |
| CDC | 0.876303 |
| MMWR Â weekly publication | 0.71102 |
| American Medical Association | 0.700054 |
| graphic designer | 0.703969 |
| CDC’s Emergency | 0.720522 |
| visual information specialist | 0.875419 |
| Francisco State University | 0.705715 |
| Health Communication Specialist | 0.730574 |
| Dr. Kent | 0.698104 |
| lead technical writer-editor | 0.732954 |
| MMWR serial publications | 0.699992 |
| degree | 0.709005 |
| CDC Ebola response | 0.732691 |
| CDC employee | 0.718938 |
| serial publications | 0.704763 |
| MMWR Â staff | 0.739579 |
| Massachusetts General Hospital | 0.701613 |
| University | 0.759697 |
| CDC’s Morbidity | 0.718895 |
| Public Health Information | 0.776041 |
| CDC’s MMWR | 0.747045 |
| MMWR Â team | 0.721319 |
| CDC career | 0.717623 |
|
| Public Health Research | 0.708247 |
| numerous CDC Cooperative | 0.740225 |
| CDC’s Mission | 0.705948 |
| Health Services Research | 0.712549 |
| health communications specialist | 0.768468 |
| CDC public health | 0.768247 |
| technical writer-editor | 0.900853 |
| Atlanta VA Hospital | 0.7057 |
| Dr. Rasmussen | 0.700244 |
| MMWR Â serials publications | 0.699117 |
| State University | 0.754272 |
| CDC recommendations | 0.715532 |
| public health | 0.870937 |
| Georgia State University | 0.732494 |
| MMWR | 0.833652 |
| Public Health Scientific | 0.707298 |
| desktop publisher | 0.725161 |
| public health experience | 0.708617 |
| San Francisco | 0.703256 |
| MMWR Â publication policies | 0.700824 |
| cdc.gov | 0.708449 |
| mmwr podcast host | 0.712207 |
| MMWR Â desktop publishing | 0.703044 |
| public health preparedness | 0.721978 |
|
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Global Health - Kenya - Blog: Today is the Day |
CDC-Kenya’s Refugee Health Program – part of the Division of Global Migration and Quarantine – primarily works with refugees under consideration for resettlement in the United States. The program collaborates with the UN High Commissioner for Refugees (UNHCR) and other partners to improve the health of refugees. The program also works extensively with the International Organization for Migration (IOM) to oversee the medical screening of U.S.-bound refugees to prevent the spread of communicable diseases. |
| worldly possessions | 0.361664 |
| medical screening | 0.351483 |
| high school | 0.33084 |
| Refugee Health Program | 0.585772 |
| shoot refugees | 0.420761 |
| refugees | 0.734456 |
| Young Sundes | 0.34819 |
| ongoing tension | 0.335964 |
| United Nations | 0.34202 |
| permanent home | 0.476542 |
| children Mohamed | 0.371012 |
| FilmAid International | 0.339936 |
| perilous situations | 0.3506 |
| film work | 0.334772 |
| 3-year-old son | 0.35498 |
| older brother | 0.333068 |
| Sundes | 0.380792 |
| long journey | 0.331057 |
| Kansas City | 0.336837 |
| militia group | 0.346295 |
| coastal refugee camp | 0.540266 |
| Kenyan border | 0.343733 |
| U.S. CDC-Kenya Office | 0.504799 |
| specific needs | 0.352816 |
| United States | 0.819852 |
|
| chilly morning | 0.355072 |
| communicable diseases | 0.359431 |
| IOM transit center | 0.481383 |
| private school | 0.336871 |
| basic food staples | 0.450649 |
| Utanga refugee camp | 0.763097 |
| Amina | 0.614987 |
| World Refugee | 0.526679 |
| International Organization | 0.354541 |
| Somali refugees | 0.580795 |
| Kenyan villagers | 0.351725 |
| new life | 0.352423 |
| Swaleh Nguru | 0.48377 |
| Kakuma refugee camp | 0.739162 |
| arduous journey | 0.352078 |
| refugee camp | 0.936325 |
| Global Migration | 0.359626 |
| KENYA BLOG | 0.392056 |
| sick mother | 0.347957 |
| U.S.-bound refugees | 0.466111 |
| religious school | 0.343428 |
| better education | 0.334369 |
| High Commissioner | 0.361353 |
| infant son | 0.340359 |
|
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Buttons and Badges Guidelines & Best Practices |
Basic information from CDC about breast cancer. |
| CDC | 0.714499 |
| target Web site | 0.580298 |
| CDC’s National | 0.568337 |
| clearance channels | 0.577915 |
| alternate text | 0.573096 |
| public health advocates | 0.576808 |
| content-specific GovDelivery email | 0.567569 |
| social media tools | 0.925678 |
| Post Button | 0.619242 |
| additional information | 0.916788 |
| communications science clearance | 0.587855 |
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| Social media activities | 0.575505 |
| image file | 0.560433 |
| Omniture SiteCatalyst | 0.525875 |
| badge size | 0.572579 |
| badge | 0.827018 |
| Badge Gallery | 0.576899 |
| high-profile topic-specific pages | 0.573214 |
| primary audience | 0.58322 |
| internal CDC staff | 0.623959 |
| Web site | 0.775233 |
| stock photography images | 0.558145 |
| CDC Facebook | 0.550853 |
|
| Digital Media Branch | 0.569553 |
| badge files | 0.570345 |
| target audience | 0.664487 |
| CDC.gov page | 0.524024 |
| button | 0.977685 |
| Health Communication Science | 0.591895 |
| CDC Button | 0.680147 |
| Clear button | 0.607411 |
| health communications program | 0.592236 |
| Electronic Media Branch | 0.591021 |
| CDC.gov Web site | 0.649706 |
| unique button | 0.644264 |
| pre-determined HCSO channels | 0.562717 |
| short health messages | 0.604779 |
| CDC network | 0.631309 |
| appropriate CDC.gov content | 0.583144 |
| buttons | 0.662945 |
| drive web traffic | 0.610458 |
| CDC guidelines | 0.559614 |
| CDC intranet | 0.540942 |
| badges | 0.647894 |
| partner Web site | 0.588948 |
| social network profile | 0.602864 |
| Web sites | 0.519335 |
|
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Información general sobre los incendios forestales|Annuncio de servicio público |
Los Centros para el Control y la Prevención de Enfermedades (CDC) proveen anuncios de servicio público (PSA, por sus siglas en inglés) para compartir información que puede salvar vidas durante desastres naturales y situaciones de mal tiempo. Los PSA en inglés y en español están disponibles en una variedad de formatos que incluyen texto, audio y video. |
| Archivo Apple Quicktime | 0.71016 |
| Archivo RealPlayer | 0.634755 |
| Archivo Zip Comprimido | 0.719336 |
| Archivo Microsoft PowerPoint | 0.754697 |
|
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| Archivo Microsoft | 0.979041 |
|
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Flu Vaccination Coverage, United States, 2013-14 Influenza Season |
Flu Vaccination Coverage, United States, 2013-14 Influenza Season - CDC |
| Risk Factor Surveillance | 0.36917 |
| seasonal influenza vaccination | 0.338595 |
| level flu vaccination | 0.373772 |
| children | 0.423773 |
| subsequent flu vaccination | 0.370913 |
| lower flu vaccination | 0.403584 |
| season | 0.420308 |
| higher coverage | 0.309538 |
| estimates | 0.400137 |
| 2013-14 season | 0.325413 |
| 2012-13 season estimates | 0.300443 |
| additional race/ethnicity estimates | 0.314562 |
| non-Hispanic black adults | 0.29682 |
| school vaccination requirements | 0.322763 |
| flu vaccination status | 0.369568 |
| appropriate vaccination | 0.296367 |
| Influenza Vaccination Coverage–U.S. | 0.340303 |
| State-specific flu vaccination | 0.424084 |
| Behavioral Risk Factor | 0.370828 |
| obstructive pulmonary disease | 0.330788 |
| national flu vaccination | 0.406235 |
| age group | 0.324007 |
| vaccination services | 0.304168 |
| adults | 0.376409 |
|
| flu vaccine | 0.325756 |
| flu vaccination coverage | 0.978735 |
| Vaccination Coverage Reports | 0.343091 |
| percentage points | 0.429522 |
| flu season estimates | 0.355279 |
| flu vaccination data | 0.380536 |
| vaccination programs | 0.30345 |
| vaccination recommendation | 0.302686 |
| annual flu vaccination | 0.403267 |
| non-Hispanic whites | 0.336051 |
| non-Hispanic white adults | 0.296835 |
| influenza season | 0.312914 |
| multiple races | 0.341005 |
| seasonal flu vaccinations | 0.299399 |
| influenza vaccination | 0.479599 |
| racial/ethnic group comparisons | 0.321501 |
| Influenza Vaccination Coverage* | 0.379725 |
| cumulative flu vaccination | 0.371145 |
| Coverage estimates | 0.317341 |
| pneumococcal vaccination status | 0.310696 |
| Non-Hispanic white children | 0.302471 |
| flu season | 0.387713 |
| non-Hispanic black children | 0.338518 |
| public health vaccination | 0.324203 |
|
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Understanding Barriers to Cervical Cancer Screening in Women With Access to Care, Behavioral Risk Factor Surveillance System, 2014 |
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. |
| skin cancer | 0.306343 |
| health insurance | 0.29622 |
| health care provider | 0.571681 |
| self-reported survey data | 0.287668 |
| Risk Factor Surveillance | 0.391731 |
| multiple chronic conditions | 0.483263 |
| papilloma virus test | 0.290669 |
| preventive screening | 0.299846 |
| preventive clinical services | 0.304672 |
| Disease Control | 0.317531 |
| Pap test | 0.566881 |
| current cervical cancer | 0.379648 |
| colorectal cancer | 0.30694 |
| noninstitutionalized adult population | 0.290373 |
| health care services | 0.29848 |
| cervical cancer screening | 0.657604 |
| cervical cancer | 0.975898 |
| primary care physicians | 0.289806 |
| timely cervical cancer | 0.434648 |
| occult blood test | 0.292728 |
| Behavioral Risk Factor | 0.391906 |
| low health literacy | 0.290516 |
| cervical cancer incidence | 0.395008 |
| obstructive pulmonary disease | 0.298876 |
| women | 0.608656 |
|
| heart attack | 0.292205 |
| cervical screening recommendations | 0.402358 |
| kidney disease | 0.342029 |
| nonfinancial barriers | 0.307106 |
| heart disease | 0.338975 |
| fatalistic health beliefs | 0.292007 |
| significantly higher proportion | 0.381494 |
| new cervical cancers | 0.368137 |
| 50 states | 0.335294 |
| larger proportion | 0.30084 |
| preventive care measures | 0.297319 |
| random-digit–dialed telephone survey | 0.296045 |
| survey data | 0.292019 |
| screening interval | 0.293027 |
| human papilloma virus | 0.359976 |
| chronic conditions | 0.837994 |
| timely cancer screening | 0.344059 |
| higher proportion | 0.400458 |
| regular health care | 0.2987 |
| metropolitan statistical area | 0.344841 |
| HPV testing rates | 0.2974 |
| regular doctor | 0.294553 |
| Cancer Prevention | 0.297063 |
| abnormal cervical lesions | 0.371067 |
|
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