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Centers for Disease Control and Prevention |
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Antibiotics Aren't Always the Answer | CDC Features |
Antibiotics can be life saving, but they aren't always the answer. |
| future antibiotic-resistant infections | 0.621482 |
| crushed ice | 0.499731 |
| emergency rooms | 0.51569 |
| international partners | 0.518751 |
| viral infections | 0.632801 |
| Disease Control | 0.51905 |
| correct treatment | 0.495854 |
| best treatment options | 0.580843 |
| prescription drugs | 0.494509 |
| sore throat spray | 0.595401 |
| Unneeded antibiotics | 0.617302 |
| young children | 0.500669 |
| hospital-based clinics | 0.520412 |
| colds | 0.452991 |
| Smart About Antibiotics | 0.641306 |
| flu illness | 0.518534 |
| flu antiviral drugs | 0.59762 |
| sore throats | 0.649133 |
| cool-mist vaporizer | 0.498603 |
| symptoms | 0.437314 |
| adverse drug reactions | 0.593926 |
| saline nasal spray | 0.580913 |
| health care settings | 0.611575 |
| antibiotics | 0.812749 |
|
| child | 0.504378 |
| over-the-counter products | 0.510912 |
| viral infection | 0.607411 |
| potential risks | 0.500203 |
| United States | 0.516007 |
| cause | 0.436302 |
| symptom relief | 0.50507 |
| best treatment option | 0.587389 |
| healthcare | 0.519539 |
| lozenges | 0.432917 |
| best treatment | 0.696848 |
| antibiotic resistance | 0.979487 |
| national priority | 0.511531 |
| honey | 0.433707 |
| fluids | 0.442092 |
| harmful side effects | 0.605888 |
| prescription drug | 0.499247 |
| bronchitis | 0.450078 |
| wrong medicine | 0.497505 |
| doctor’s offices | 0.515775 |
| bacterial infection | 0.506359 |
| unnecessary antibiotic prescriptions | 0.798725 |
| over-the-counter treatment options | 0.585409 |
| treatment options | 0.588495 |
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Centers for Disease Control and Prevention |
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Follow-Up of Infants Diagnosed with HIV - Early InfantDiagnosis Program, Francistown, Botswana, 2005-2012 |
Catherine Motswere-Chirwa, PDM1, Andrew Voetsch, PhD1, Lydia Lu, MPH1, Victor Letsholathebe2, Phenyo Lekone, PhD1, Esther Machakaire, MD1, Keitumetse Legwaila1, Stembile Matambo1, Maruping Maruping1, Thatayotlhe Kolobe1, Chipo Petlo2, Refeletswe Lebelonyane, MD2, Mary Glenshaw, PhD1, Helen Dale, BVSc, MBChB1, Margarett Davis, MD1, Shenaaz El Halabi, MPH2, Andrew Pelletier, MD1 (Author affiliations at end of text). |
| screen infants | 0.513736 |
| pediatric HIV patients | 0.523902 |
| postnatally HIV-infected infants | 0.616658 |
| Pediatr Infect Dis | 0.500317 |
| antenatal care | 0.496679 |
| EID testing | 0.568458 |
| HIV infections | 0.496814 |
| pregnant women | 0.519311 |
| HIV status | 0.493562 |
| perinatally HIV-infected infants | 0.61614 |
| ART initiation | 0.563663 |
| early infant diagnosis | 0.600042 |
| pediatric HIV treatment | 0.559886 |
| Botswana Ministry | 0.510826 |
| HIV-infected children | 0.523891 |
| post-test counseling | 0.510536 |
| HIV services | 0.495535 |
| antiretroviral prophylaxis | 0.507638 |
| human immunodeficiency virus | 0.563846 |
| EID program highlight | 0.519659 |
| HIV-infected infants | 0.987011 |
| postnatal care facilities | 0.578436 |
| ART | 0.630563 |
| antiretroviral therapy | 0.519901 |
| HIV-diagnosed infants | 0.519912 |
|
| Botswana citizens | 0.491431 |
| patient outcomes | 0.490793 |
| Botswana Prevention | 0.510622 |
| EID program data | 0.509547 |
| HIV diagnosis | 0.498812 |
| pediatric HIV | 0.579004 |
| polymerase chain reaction | 0.5109 |
| mother-to-child transmission | 0.646351 |
| EID testing coverage | 0.500455 |
| HIV-exposed infants | 0.773028 |
| HIV-infected mothers | 0.535269 |
| early diagnosis | 0.519013 |
| Nyangabgwe HIV Reference | 0.524222 |
| EID program | 0.622384 |
| Botswana | 0.617907 |
| HIV infants | 0.588752 |
| HIV test results | 0.572992 |
| HIV testing | 0.556255 |
| et al | 0.54932 |
| median time | 0.493697 |
| comprehensive EID strategy | 0.49269 |
| HIV infection | 0.629843 |
| Botswana Early Infant | 0.513162 |
| HIV-infected patients | 0.49742 |
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Centers for Disease Control and Prevention |
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Recs/Vac-Admin Contraindications to Vaccines Chart |
Vaccine Chart of Contraindications for Childhood Vaccinations (pre-adolescent only) |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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Centers for Disease Control and Prevention |
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Noninfluenza Vaccination Coverage Among Adults - UnitedStates, 2011 |
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. |
| tetanus vaccination status | 0.488115 |
| United States | 0.327133 |
| vaccine type | 0.33514 |
| vaccination services | 0.322391 |
| adults | 0.549047 |
| Tetanus Vaccination Coverage | 0.432699 |
| whooping cough vaccine | 0.319349 |
| adult vaccination coverage | 0.460152 |
| higher Tdap coverage | 0.319576 |
| HPV vaccine | 0.368245 |
| noninfluenza adult vaccination | 0.358442 |
| percentage points | 0.531649 |
| Influenza vaccination coverage | 0.39854 |
| vaccination type | 0.337499 |
| vaccination coverage | 0.932177 |
| zoster vaccination coverage | 0.405723 |
| previous PPSV23 vaccination | 0.349908 |
| adult patient vaccination | 0.34908 |
| vaccination target criteria | 0.368739 |
| Tdap | 0.493175 |
| tetanus vaccine | 0.324496 |
| vaccination coverage levels | 0.413788 |
| hepatitis A vaccination | 0.344209 |
| hepatitis b vaccination | 0.391605 |
|
| percentage point increase | 0.471322 |
| Tdap vaccination status | 0.394425 |
| acellular pertussis vaccine | 0.334952 |
| herpes zoster vaccination | 0.417599 |
| Tdap coverage | 0.410175 |
| hpv vaccination | 0.402768 |
| providers incorporate vaccination | 0.370691 |
| Successful vaccination programs | 0.343767 |
| adolescent vaccination program | 0.344347 |
| respondents | 0.338317 |
| persons | 0.328956 |
| vaccine | 0.49383 |
| practice-level vaccination rates | 0.344582 |
| tetanus shot | 0.333493 |
| pneumococcal vaccination coverage | 0.425161 |
| pneumococcal vaccination status | 0.352822 |
| vaccination intentions | 0.325146 |
| high risk | 0.405904 |
| HPV Vaccination Coverage | 0.386449 |
| Tdap vaccination | 0.492534 |
| yrs | 0.705169 |
| tetanus vaccination | 0.729398 |
| active booster vaccination | 0.351274 |
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Centers for Disease Control and Prevention |
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Cervical Cancer Prevention - CDC |
Two tests, the Pap test and human papillomavirus (HPV), can help prevent cervical cancer |
| reason | 0.318783 |
| *HPV infection | 0.38529 |
| condoms | 0.320009 |
| Pap test results | 0.674968 |
| lower your risk | 0.380249 |
| boys | 0.317188 |
| girls | 0.317179 |
| HPV vaccine | 0.4113 |
| cervical cancer— | 0.529399 |
| precancers | 0.320702 |
| HPV | 0.418755 |
| total hysterectomy | 0.390681 |
| Pap tests | 0.548058 |
| checkup | 0.325174 |
| regular screening tests | 0.460684 |
| Pap test | 0.925638 |
| cervix | 0.354174 |
| types | 0.317389 |
| preteens | 0.32226 |
|
| chance | 0.318567 |
| HPV test | 0.414143 |
| important thing | 0.390045 |
| fibroids | 0.319759 |
| sex | 0.317899 |
| female genital areas | 0.45392 |
| cervical cancer | 0.794546 |
| doctor | 0.389088 |
| HPV infection | 0.407297 |
| regular Pap tests | 0.524033 |
| lower rate | 0.380823 |
| non-cancerous condition | 0.393964 |
| vulvar cancers | 0.391774 |
| latex condom | 0.39057 |
| cell changes | 0.404242 |
| normal Pap test | 0.544613 |
| age | 0.396798 |
| women | 0.333128 |
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Centers for Disease Control and Prevention |
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CDC Nowcasting the Spread of Chikungunya in Americas |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| countries increases | 0.375016 |
| CDC | 0.473691 |
| infected travelers | 0.457902 |
| mosquito bites | 0.387424 |
| chikungunya-infected travelers | 0.388301 |
| new local transmission | 0.496878 |
| chikungunya introduction | 0.587348 |
| CDC experts | 0.396794 |
| uses data | 0.385017 |
| response activities | 0.374172 |
| sporadic local transmission | 0.458074 |
| interactive web-based model | 0.462796 |
| Disease Control | 0.38377 |
| likely introduction | 0.394878 |
| proactively implement prevention | 0.433133 |
| chikungunya virus transmission | 0.733948 |
| probability | 0.42467 |
| model estimates areas | 0.480681 |
| dengue virus | 0.404651 |
| global maps | 0.380001 |
| public health officials | 0.429383 |
| locally transmitted cases | 0.426318 |
| new website | 0.381519 |
| chikungunya infection | 0.58882 |
| healthcare providers | 0.374621 |
|
| CDC model | 0.417669 |
| different model scenarios | 0.434373 |
| nowcast website | 0.375258 |
| United States | 0.771367 |
| mosquito-borne chikungunya virus | 0.750133 |
| chikungunya activity | 0.632494 |
| chikungunya virus | 0.784524 |
| continental United States | 0.432018 |
| CDC biologist | 0.40391 |
| local transmission | 0.865534 |
| great degree | 0.375993 |
| monthly estimates | 0.398602 |
| CDC nowcast model | 0.464388 |
| southern United States | 0.450302 |
| airline travel patterns | 0.451971 |
| CDC-developed mathematical model | 0.451291 |
| mosquito-borne illnesses | 0.376377 |
| local chikungunya transmission | 0.816425 |
| Caribbean outbreak | 0.378966 |
| chikungunya risk | 0.58896 |
| Early recognition | 0.374332 |
| chikungunya | 0.980276 |
| South American locations | 0.437455 |
| chikungunya cases | 0.755144 |
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Centers for Disease Control and Prevention |
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Disease Detective: Dan - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| reminders | 0.42276 |
| hand shake | 0.522492 |
| crowd | 0.424866 |
| survival rates | 0.517863 |
| friendships | 0.427662 |
| health official | 0.520527 |
| community cooperation | 0.520869 |
| outbreak | 0.458703 |
| single village | 0.521694 |
| African greetings | 0.512913 |
| patients | 0.422848 |
| CDC epidemiologist | 0.556009 |
| strange juxtaposition | 0.535956 |
| collegial lives | 0.532343 |
| steps | 0.422651 |
| Tonkolili District | 0.54385 |
| unreported Ebola cases | 0.767603 |
| Joy | 0.423529 |
| Ebola Treatment Unit | 0.805949 |
| job | 0.447721 |
| Ebola | 0.862677 |
| daughter | 0.423747 |
| CDC staffer | 0.547734 |
| CDC help | 0.534332 |
| Ebola survivor | 0.69166 |
|
| tears | 0.426576 |
| distance | 0.424493 |
| Dan’s time | 0.525701 |
| Sierra Leone | 0.997971 |
| warm homecoming | 0.526228 |
| investigate | 0.423903 |
| frequent contact | 0.531479 |
| house | 0.4253 |
| youngest son | 0.524216 |
| surreal way | 0.512686 |
| Daddy | 0.42386 |
| local health workers | 0.850421 |
| clusters | 0.422921 |
| death sentence | 0.525019 |
| stories | 0.422103 |
| touch-free lives | 0.514425 |
| team | 0.446747 |
| people | 0.492524 |
| Syndrome | 0.421562 |
| African Ebola epidemic | 0.80991 |
| Dan | 0.539316 |
| West African friends | 0.607653 |
| recent spike | 0.52423 |
| hug | 0.455947 |
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Centers for Disease Control and Prevention |
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Non-Polio Enterovirus 'Specimen Collection, Storage, Shipment | Picornavirus | CDC |
Table of specimen types, minimum amounts, collection, storage, and shipping of non-polio enteroviruses. |
| dry ice Virus | 0.673972 |
| fixation—can fix | 0.511311 |
| dry ice Preferred | 0.669976 |
| viral transport medium | 0.811424 |
| symptom onset | 0.519708 |
| Rectal swab ≥1gram | 0.640267 |
| real-time PCR | 0.529215 |
| paraffin blocks | 0.514147 |
| navigation Skip | 0.595622 |
| Room temperature Ship | 0.606598 |
| Stool ≥1gram Collect | 0.664783 |
| paraffin-embedded tissue N/A | 0.65835 |
| NP/OP wash | 0.517141 |
| ul Collect | 0.559584 |
| CSF | 0.433321 |
| specimen types | 0.515945 |
| lower sensitivity | 0.509207 |
| Serum | 0.426062 |
| formalin-fixed/paraffin embedded tissue | 0.623541 |
| sterile container | 0.792131 |
|
| Cerebrospinal | 0.429783 |
| list Skip | 0.599009 |
| tissue N/A Place | 0.651203 |
| dry ice | 0.980696 |
| page options Skip | 0.708719 |
| Respiratory | 0.451409 |
| store | 0.463456 |
| soberste@cdc.gov. | 0.520359 |
| fresh-frozen tissue | 0.601699 |
| ship specimens | 0.547702 |
| generic testing | 0.521302 |
| special medium | 0.718909 |
| contact wnix | 0.523261 |
| NP/OP swab | 0.547084 |
| transport medium Freeze | 0.8763 |
| liquid nitrogen Freeze | 0.671005 |
| -70°C Ship | 0.520425 |
| ) Freeze at | 0.587975 |
| breakage | 0.424989 |
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Centers for Disease Control and Prevention |
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CDC: Tips From Former Smokers - Brian's Stroke and Slow Recovery |
Brian never imagined he could have a stroke at age 43. He was in good health. But smoking, combined with having HIV, caused a stroke when he was doing what he loved most—working at the potter's wheel. In this video from CDC's Tips From Former Smokers campaign, Brian talks about the day of his stroke and his efforts to recover.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=3d52959500a7f0a9a1c9ccc952d5a61f20140925163911718 |
| Brian | 0.46627 |
| Stroke | 0.752543 |
| Smokers | 0.869648 |
|
| CDC | 0.852599 |
| Slow Recovery | 0.980929 |
| YouTube | 0.825835 |
|
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Centers for Disease Control and Prevention |
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Diagnosis and Testing | Lyme Disease Video |
HHS Federal Research Update on Lyme Disease Diagnostics Webinar
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod2.php?id='la7c5133d88640c4b8b04d99ba611050720121105133242217 |
| Lyme | 0.322354 |
| Disease Diagnostics Webinar | 0.990804 |
|
| HHS Federal Research | 0.84901 |
| Update | 0.283549 |
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