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HPV Vaccine is Cancer Prevention for Boys, Too! | CDC Features |
Ask your child's doctor at their next appointment about getting HPV vaccine. Take advantage of any visit to the doctor—such as an annual health checkup or physicals for sports, camp, or college—to ask the doctor about what shots your preteens and teens need. |
| health experts | 0.39416 |
| local healthcare | 0.387623 |
| annual health checkup | 0.671365 |
| appointment | 0.344125 |
| girls | 0.362036 |
| physicals | 0.357954 |
| Alaska Native | 0.392372 |
| children | 0.348583 |
| anus | 0.325115 |
| cervical cancer | 0.398754 |
| camp | 0.341061 |
| human papillomavirus | 0.415597 |
| cancers | 0.441137 |
| rectum | 0.325104 |
| HPV infections | 0.517197 |
| shots | 0.363877 |
| later stage | 0.399721 |
| child | 0.341541 |
| women | 0.319218 |
| doses | 0.321235 |
| HPV vaccination | 0.573042 |
| vaccines | 0.412989 |
| United States | 0.410463 |
| screening tests | 0.399761 |
|
| teens | 0.361111 |
| HPV vaccine | 0.9858 |
| shot | 0.358817 |
| teen boy | 0.393368 |
| men | 0.361213 |
| penis | 0.322454 |
| HPV vaccine series | 0.870213 |
| preteens | 0.427731 |
| sports | 0.34108 |
| advantage | 0.343094 |
| meningitis | 0.320801 |
| fainting | 0.344599 |
| anal cancer | 0.401988 |
| doctor—such | 0.341163 |
| doctor | 0.41281 |
| HPV infection | 0.510902 |
| whooping cough | 0.404113 |
| VFC program | 0.384598 |
| help | 0.32346 |
| HPV vaccine… | 0.492762 |
| teen boys | 0.465591 |
| ages | 0.339497 |
| preteen | 0.354116 |
| visit | 0.340883 |
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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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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0298 |
Diabetes, hypertension, and hypercholesterolemia are common chronic diseases among Hispanics, a group projected to comprise 30% of the US population by 2050. |
| logistic regression model | 0.448564 |
| study participants | 0.517166 |
| CCHC participants | 0.481131 |
| Participants self-reported hypertension | 0.547898 |
| Health Care Act | 0.433256 |
| health insurance | 0.546034 |
| health care provider | 0.620794 |
| Younger participants | 0.508798 |
| hypercholesterolemia | 0.59517 |
| Texas Health Science | 0.490976 |
| insurance coverage | 0.48834 |
| Cameron County | 0.501173 |
| Cameron County Hispanic | 0.462641 |
| health disparities | 0.509541 |
| health care delivery | 0.430642 |
| undiagnosed diabetes | 0.472025 |
| health care access | 0.453123 |
| diabetes treatment | 0.450516 |
| untreated diabetes | 0.529997 |
| blood pressure | 0.485811 |
| Mexican Americans | 0.7142 |
| Clinical Research Unit | 0.456121 |
| ethnically distinct subgroup | 0.477235 |
| diagnosis | 0.450666 |
|
| health care dollars | 0.433731 |
| omega-3 fatty acids | 0.538506 |
| health care costs | 0.434203 |
| population | 0.433108 |
| randomly selected households | 0.462993 |
| County Hispanic Cohort | 0.476371 |
| treatment | 0.503959 |
| Introduction
Diabetes | 0.453754 |
| United States | 0.672536 |
| undiagnosed hypercholesterolemia | 0.464008 |
| Diabetes medications | 0.439526 |
| cross-sectional baseline data | 0.483072 |
| better educated participants | 0.492834 |
| health care | 0.8217 |
| participants | 0.941769 |
| poorly controlled diabetes | 0.452993 |
| preventive health care | 0.431594 |
| chronic diseases | 0.61854 |
| Mexican American participants | 0.54742 |
| medication | 0.459053 |
| high blood pressure | 0.457744 |
| severe health disparities | 0.433531 |
| American Diabetes Association | 0.557243 |
| diabetes | 0.808342 |
|
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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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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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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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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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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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What Rural Women Want the Public Health Community to Know About Access to Healthful Food: A Qualitative Study, 2011 |
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. |
| food access barriers | 0.660007 |
| poor dietary habits | 0.601094 |
| S7 counties | 0.581613 |
| public health solutions | 0.578992 |
| women’s health | 0.642463 |
| insufficient local food | 0.599993 |
| food access problems | 0.643112 |
| nontraditional food sources | 0.585844 |
| rural food desert | 0.602445 |
| healthful food | 0.694737 |
| community | 0.65422 |
| grocery stores | 0.609681 |
| high food prices | 0.58784 |
| food pantries | 0.627585 |
| local food acquisition | 0.584771 |
| comprehensive community health | 0.581767 |
| health problems | 0.577858 |
| food delivery programs | 0.578189 |
| rural food deserts | 0.695581 |
| rural food environment | 0.601487 |
| urban food deserts | 0.589587 |
| food access resources | 0.609112 |
| local food pantries | 0.58491 |
| dietary habits | 0.620354 |
| women | 0.643078 |
|
| local food | 0.616792 |
| food access challenges | 0.597835 |
| healthful food environments | 0.601188 |
| focus group data | 0.579545 |
| rural S7 women | 0.58271 |
| healthful food preparation | 0.609339 |
| limited food access | 0.594508 |
| focus groups | 0.734766 |
| small population sizes | 0.578047 |
| health needs | 0.614612 |
| privately grown food | 0.583029 |
| public health | 0.628764 |
| participants | 0.652876 |
| southernmost Illinois | 0.587848 |
| rural communities | 0.656385 |
| health department | 0.578586 |
| health | 0.714419 |
| focus group participants | 0.620063 |
| food access | 0.988041 |
| focus group | 0.705889 |
| healthful food access | 0.633219 |
| alternative food access | 0.593573 |
| Local food growers | 0.580516 |
| healthful foods | 0.666399 |
|
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