| 952 |
Centers for Disease Control and Prevention |
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Notes from the Field: Rapidly Growing NontuberculousMycobacterium Wound Infections Among Medical Tourists UndergoingCosmetic Surgeries in the Dominican Republic - Multiple States,March 2013-February 2014 |
David Schnabel, MD1, Joanna Gaines, PhD2, Duc B. Nguyen, MD3, Douglas H. Esposito, MD2, Alison Ridpath, MD4, Kari Yacisin, MD4, Jose A. |
| County Health Department | 0.731344 |
| Initial antibiotic therapy | 0.627819 |
| York State Department | 0.669563 |
| standard antibiotic therapy | 0.62388 |
| M. fortuitum infections | 0.624991 |
| New York City | 0.751936 |
| surgical procedures | 0.672286 |
| Zoonotic Infectious Diseases | 0.677296 |
| Health department officials | 0.709063 |
| Official health alerts | 0.668695 |
| York State Metropolitan | 0.634128 |
| cosmetic surgical procedures | 0.633713 |
| Gary W. Brunette | 0.627871 |
| New York State | 0.654935 |
| 4New York City | 0.628094 |
| Maryland Department | 0.650195 |
| private surgical clinic | 0.656387 |
| nontuberculous Mycobacterium infections | 0.628211 |
| P. Scott Pritchard | 0.624098 |
| Infectious Diseases | 0.689322 |
| Dominican public health | 0.698377 |
| 13Boston Public Health | 0.661912 |
| antibiotic therapy | 0.628702 |
| probable case | 0.632906 |
|
| United States | 0.684531 |
| Regional Medical Center | 0.624524 |
| State Metropolitan Area | 0.682263 |
| health-care providers | 0.623574 |
| corrective surgical procedures | 0.630984 |
| public health community | 0.683789 |
| cosmetic surgery | 0.667294 |
| 11Montgomery County Health | 0.651843 |
| Public Health Commission | 0.746285 |
| surgical wound abscesses | 0.639956 |
| local health departments | 0.665938 |
| public health | 0.825351 |
| probable case testing | 0.632079 |
| New York | 0.836873 |
| New Jersey Department | 0.663461 |
| Orange County Health | 0.653147 |
| Republic surgical clinics | 0.646694 |
| Area Regional Office | 0.680728 |
| Mycobacterium abscessus infections | 0.629972 |
| David Schnabel | 0.628711 |
| Nadege C. Toney | 0.624211 |
| York City Department | 0.752884 |
| Dominican Republic | 0.908203 |
| Heather A. Moulton-Meissner | 0.623321 |
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| 4703 |
Centers for Disease Control and Prevention |
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CDC Data & Statistics | Feature: Untreated Dental Caries (Cavities) in Children Ages 2-19, United States | CDC Features |
Untreated Dental Caries (Cavities) in Children Ages 2-19, United States. Over 19% of children ages 2-19 have untreated cavities; a child's complete preventive dental program should include fluoride, twice-daily brushing, wise food choices, and regular dental care. |
| dental exams | 0.469134 |
| CDC | 0.44723 |
| data | 0.504742 |
| great time | 0.469373 |
| recognition | 0.414642 |
| fluoride | 0.416784 |
| 16-19 year olds | 0.484706 |
| program | 0.414749 |
| enamel surface | 0.460894 |
| sexes | 0.41393 |
| children | 0.768603 |
| recent time period | 0.514624 |
| olds | 0.547614 |
| wise food choices | 0.532532 |
| Hispanic children | 0.552564 |
| National Center | 0.458395 |
| poverty level | 0.508071 |
| untreated dental caries | 0.704533 |
| National Children | 0.476088 |
| untreated cavities | 0.913467 |
| regular dental care | 0.531244 |
| males | 0.454269 |
| twice-daily brushing | 0.478139 |
| non-Hispanic children ages | 0.544029 |
| Hyattsville | 0.412993 |
|
| Medical Technology | 0.460765 |
| Health Statistics | 0.454616 |
| Mexican origin ages | 0.504751 |
| races | 0.412612 |
| untreated coronal caries | 0.607578 |
| similar percentages | 0.479435 |
| time periods | 0.588598 |
| 14.5 | 0.412584 |
| United States | 0.528433 |
| age group | 0.462426 |
| significantly higher percentages | 0.527147 |
| high levels | 0.467407 |
| Root tips | 0.457387 |
| primary teeth | 0.505231 |
| Special Feature | 0.457984 |
| kids | 0.41358 |
| non-Hispanic children | 0.687727 |
| permanent teeth | 0.455412 |
| females | 0.4532 |
| Mexican origin | 0.576807 |
| Root caries | 0.498175 |
| breakout | 0.413778 |
| Dental Health | 0.466446 |
| PDF 10.31MB | 0.46037 |
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| 4704 |
Centers for Disease Control and Prevention |
Video |
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Hand Hygiene Saves Lives |
Each year in the United States, patients get more than a million infections in the hospital while being treated for something else. The best way to help prevent infection is to practice proper hand hygiene. Hand Hygiene Saves Lives shows how patients can play an active role in reminding healthcare providers to practice hand hygiene in hospitals and other healthcare facilities.
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://www.cdc.gov/cdctv/HandHygiene |
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Centers for Disease Control and Prevention |
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HIV Basics - HIV/AIDS - CDC - PrEP |
Basic questions and answers on HIV pre-exposure profylaxis or PrEP. |
| pre-exposure prophylaxis | 0.378651 |
| injection drug | 0.303451 |
| Mutually monogamous means | 0.258865 |
| insertive vaginal sex | 0.256006 |
| health care provider | 0.469329 |
| right way | 0.253333 |
| body | 0.245331 |
| CDC’s HIV | 0.597623 |
| generally subside | 0.269883 |
| anal sex | 0.262555 |
| health care providers | 0.265519 |
| needs | 0.287667 |
| free PrEP | 0.352756 |
| ongoing sexual relationship | 0.257804 |
| HIV Risk Reduction | 0.827658 |
| tru vá duh | 0.333366 |
| PrEP care | 0.348315 |
| maximum protection | 0.285079 |
| n’t life | 0.262529 |
| HIV medicines | 0.401443 |
| effects | 0.250358 |
| hiv prevention option | 0.387862 |
| limited income | 0.258553 |
| condoms | 0.24658 |
|
| additional strategies | 0.269666 |
| high resolution infographics | 0.256977 |
| Risk Reduction Tool | 0.796029 |
| receptive anal sex | 0.258773 |
| bisexual male partners | 0.257346 |
| medication assistance program | 0.304962 |
| Daily PrEP | 0.389712 |
| HIV prevention strategy | 0.328362 |
| unknown HIV status | 0.334306 |
| commercial medication assistance | 0.304968 |
| health insurance plans | 0.300371 |
| drugs | 0.256924 |
| sex | 0.344015 |
| HIV test | 0.302179 |
| Doctor About PrEP | 0.335696 |
| vaginal sex | 0.259122 |
| PrEP | 0.977152 |
| people | 0.347312 |
| BETA | 0.287614 |
| daily HIV medicines | 0.329808 |
| HIV | 0.842015 |
| No. PrEP | 0.349345 |
| information | 0.316102 |
| receptive vaginal sex | 0.257311 |
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| 9490 |
Centers for Disease Control and Prevention |
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March 23, 2012: Outbreak of E. coli O157:H7 Infections Linked to Romaine Lettuce-Epi Curve |
Multistate Outbreak of E. coli O157:H7 Infections Linked to Romaine Lettuce |
| O157 | 0.452346 |
| median age | 0.560964 |
| illnesses | 0.434319 |
| HUS | 0.440094 |
| E. coli Cases | 0.746501 |
| Fifty-nine percent | 0.591919 |
| onset date | 0.580569 |
| people | 0.424767 |
| hemolytic uremic syndrome | 0.696951 |
| number | 0.424803 |
| Timeline | 0.42479 |
|
| Romaine Lettuce | 0.607359 |
| available information | 0.530649 |
| H7 Infections Associated | 0.789797 |
| ill persons | 0.699112 |
| epi curve | 0.567198 |
| epidemic curve | 0.562418 |
| chart | 0.444041 |
| E. coli | 0.913059 |
| Multistate Outbreak | 0.682062 |
| outbreak strain | 0.667255 |
| deaths | 0.435604 |
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Centers for Disease Control and Prevention |
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Home | Essentials | Parenting Information | CDC |
Learn tips and tools for parents. |
| useful information | 0.570617 |
| hard work | 0.626816 |
| rewarding | 0.464652 |
| website | 0.43801 |
| development | 0.435238 |
| confident parent | 0.621121 |
| Click | 0.438975 |
| videos | 0.436231 |
| common parenting challenges | 0.82434 |
| tips | 0.434744 |
| water safety | 0.584351 |
|
| mother | 0.440722 |
| son | 0.43738 |
| problem | 0.437061 |
| chances | 0.448952 |
| directions | 0.437257 |
| things | 0.440054 |
| positive parenting skills | 0.971491 |
| relationship | 0.439698 |
| sister | 0.444398 |
| fun | 0.44357 |
| child | 0.565473 |
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Centers for Disease Control and Prevention |
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Norovirus | Specimen Collection | CDC |
Guidelines for collecting and storing specimens for norovirus detection |
| swabs | 0.468891 |
| FDA | 0.454407 |
| principle | 0.424737 |
| preferred clinical specimen | 0.69615 |
| testing water | 0.521942 |
| stool specimens | 0.932922 |
| Food specimens | 0.681278 |
| norovirus outbreak | 0.538243 |
| Drug Administration | 0.533043 |
| Validated methods | 0.538025 |
| convalescent-phase serum specimens | 0.816772 |
| available epidemiologic evidence | 0.636214 |
| environmental specimens | 0.68304 |
| IgG titer | 0.549567 |
| additional guidance | 0.525315 |
| specially designed filters | 0.63166 |
| norovirus | 0.621332 |
| Water samples | 0.520079 |
| environmental surfaces | 0.519353 |
| specific outbreak settings | 0.635322 |
| stools | 0.432283 |
| routine laboratory diagnosis | 0.641601 |
|
| caution | 0.428585 |
| Norovirus RNA | 0.527275 |
| illness | 0.461123 |
| Gulf Coast Seafood | 0.637824 |
| special studies | 0.537883 |
| Contact CDC | 0.532267 |
| environmental samples | 0.517837 |
| large volumes | 0.528632 |
| testing | 0.534061 |
| specimens | 0.94273 |
| testing shellfish | 0.530146 |
| water | 0.561844 |
| people | 0.424099 |
| way | 0.455378 |
| noroviruses | 0.435001 |
| symptoms | 0.458682 |
| laboratory diagnosis | 0.675962 |
| Results | 0.424148 |
| acute phase | 0.55514 |
| techniques | 0.42454 |
| investigation | 0.426155 |
| time | 0.43046 |
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Prevent Hepatitis A: Get Vaccinated Before You Travel | CDC Features |
CDC released an advisory to travelers to Tulum, Mexico. During Hepatitis Awareness Month, learn more about how the hepatitis A vaccine can protect you from getting infected when traveling. |
| South America | 0.334433 |
| CDC | 0.252306 |
| mild case | 0.319622 |
| areas | 0.245546 |
| Central | 0.224321 |
| best way | 0.313948 |
| amounts | 0.22305 |
| Tulum | 0.301244 |
| Hepatitis A outbreaks | 0.538131 |
| dark urine | 0.310673 |
| Hepatitis A symptoms | 0.511919 |
| Waterborne outbreaks | 0.324587 |
| stomach pain | 0.305164 |
| Hepatitis Awareness | 0.682909 |
| vomiting | 0.222018 |
| hepatitis A vaccine | 0.849637 |
| greater risk | 0.325115 |
| advisory | 0.224157 |
| public health officials | 0.439414 |
| nausea | 0.222932 |
| common culprits | 0.32258 |
| dose | 0.279673 |
| low-grade fever | 0.315974 |
| exposure | 0.239404 |
| parts | 0.224397 |
|
| severe disease | 0.320973 |
| healthy individuals | 0.308239 |
| Unvaccinated travelers | 0.32536 |
| doses | 0.223892 |
| yellow eyes | 0.30359 |
| Raw shellfish | 0.319157 |
| states | 0.224052 |
| world | 0.224383 |
| cross-contamination | 0.228859 |
| mild illness | 0.327938 |
| end | 0.224033 |
| contagious liver infection | 0.422599 |
| popular travel destinations | 0.439695 |
| severity | 0.2252 |
| cases | 0.22408 |
| food items | 0.314045 |
| joint pain | 0.302804 |
| hepatitis | 0.964075 |
| people | 0.222181 |
| hepatitis A virus | 0.805056 |
| infected person | 0.359088 |
| doctor | 0.243323 |
| discomfort | 0.223522 |
| fecal matter | 0.322099 |
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Centers for Disease Control and Prevention |
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Snowstorm-Related Mortality - Erie County, New York,November 2014 |
Gale R Burstein, MD1; Janinne Blank, MBA1; Tracy Fricano Chalmers, MS1; Tara Mahar, MD1; Martin C. Mahoney, MD, PhD2. |
| nongovernmental organizations | 0.613934 |
| stranded drivers | 0.661878 |
| preparedness educational messages | 0.692051 |
| possibly storm-related deaths | 0.89876 |
| cardiac-related deaths | 0.749915 |
| unprecedented amounts | 0.624263 |
| Erie County Emergency | 0.740632 |
| nursing home residents | 0.690867 |
| winter weather emergencies | 0.690166 |
| urgent care centers | 0.699591 |
| limited number | 0.613557 |
| southern Erie County | 0.755456 |
| travel bans | 0.632477 |
| storm-related deaths | 0.921607 |
| emergency transport services | 0.703125 |
| weather service forecasts | 0.719874 |
| Erie County Department | 0.732133 |
| winter weather conditions | 0.686603 |
| responder agencies | 0.613103 |
| storm-related mortality | 0.64208 |
| carbon monoxide | 0.704023 |
| regional emergency response | 0.691479 |
| snow | 0.699146 |
| checklist emphasizing advance | 0.673832 |
|
| possibly storm-related death | 0.734128 |
| public health agencies | 0.690535 |
| snow removal | 0.660798 |
| stranded vehicles | 0.639073 |
| Gale R. Burstein | 0.699823 |
| Tara Mahar | 0.626107 |
| Martin C. Mahoney | 0.724982 |
| Gale R Burstein | 0.646134 |
| New York | 0.787215 |
| unmelted snow | 0.634228 |
| Sporadic power outages | 0.715522 |
| Janinne Blank | 0.618568 |
| acute medical emergencies | 0.687396 |
| village disaster preparedness | 0.707364 |
| nursing home | 0.704962 |
| Health Medical Examiner | 0.7015 |
| Erie County | 0.928704 |
| rapid accumulation | 0.613401 |
| Tracy Fricano Chalmers | 0.720334 |
| local law enforcement | 0.69989 |
| unconfirmed reports | 0.618647 |
| narrow band | 0.615677 |
| monoxide intoxication deaths | 0.850882 |
| carbon monoxide poisoning | 0.681631 |
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Pertussis | Pregnancy and Whooping Cough | Real Story |
Pertussis: unprotected story. True story of an infant infected with pertussis (whooping cough). |
| CDC | 0.413436 |
| half | 0.412226 |
| Español | 0.416091 |
| emergency room | 0.460191 |
| Vaccines | 0.411542 |
| body | 0.41153 |
| smile | 0.413104 |
| Saturday | 0.411601 |
| medications | 0.411507 |
| Tdap | 0.431828 |
| Jamie remembers | 0.490226 |
| crying. | 0.412055 |
| night | 0.412068 |
| birth | 0.412571 |
| trimester | 0.412351 |
| pediatrician | 0.41425 |
| doctors | 0.456513 |
| high risk | 0.457008 |
| rare cases | 0.457969 |
| care | 0.413574 |
| child | 0.412775 |
| Una historia real | 0.527269 |
| United States | 0.53128 |
| final diagnosis | 0.454451 |
| whooping cough vaccine | 0.675983 |
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| Jazzlyn | 0.606613 |
| healthy baby girl | 0.507365 |
| babies | 0.499106 |
| kidneys | 0.413078 |
| slight cough | 0.533035 |
| trouble breathing | 0.463808 |
| grunt | 0.41496 |
| Jamie | 0.625995 |
| ventilator | 0.413905 |
| pneumonia | 0.411573 |
| immediate surgery | 0.45745 |
| humidifier | 0.414999 |
| hospital | 0.443458 |
| Oscar | 0.444228 |
| different shades | 0.460569 |
| breathe | 0.412708 |
| new doctor | 0.459545 |
| whooping cough | 0.951653 |
| face | 0.411516 |
| tragedy | 0.413023 |
| machine | 0.412205 |
| Tosferina | 0.41381 |
| happy baby | 0.458799 |
| family | 0.439479 |
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