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Centers for Disease Control and Prevention |
Html |
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Less HPV Infections Mean Healthier Communities of Color | CDC Features |
Human papillomavirus (or HPV) causes several types of cancers, and some communities of color have higher levels of these HPV cancers. |
| HPV vaccine series | 0.533101 |
| HPV vaccination | 0.420168 |
| HPV vaccine visit | 0.389421 |
| HPV Cancer Screening | 0.363978 |
| Link Between HPV | 0.35211 |
| HPV website | 0.33016 |
|
| HPV vaccine | 0.731587 |
| HPV types | 0.340104 |
| cervical cancer | 0.34289 |
| HPV | 0.925642 |
| HPV infection | 0.517762 |
| HPV cancers | 0.398677 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Preventing the Flu: Good Health Habits Can Help Stop Germs |
Preventing the Flu: Good Health Habits Can Help Stop Germs - CDC |
| single best way | 0.880962 |
| hands | 0.519705 |
| distance | 0.449368 |
| alcohol-based hand rub | 0.811872 |
| tissue | 0.4459 |
| Clean | 0.443395 |
| cough | 0.468522 |
| eyes | 0.442775 |
| sleep | 0.442942 |
| coughing | 0.460699 |
| school | 0.491688 |
| sneezing | 0.468238 |
| close contact | 0.649969 |
| nutritious food | 0.628829 |
| good health habits | 0.881298 |
|
| fluids | 0.447756 |
| nose | 0.516334 |
| germs | 0.732401 |
| work | 0.491779 |
| flu antiviral drugs | 0.957326 |
| plenty | 0.497704 |
| seasonal flu | 0.735976 |
| respiratory illnesses | 0.673666 |
| people | 0.448041 |
| drink | 0.445766 |
| home | 0.49187 |
| spread | 0.454668 |
| mouth | 0.514186 |
| errands | 0.463383 |
|
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Centers for Disease Control and Prevention |
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en |
January 6, 2010: Multistate Outbreak of E. coli O157:H7 Infections | E. coli CDC |
Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family. |
| epidemiologic information | 0.653492 |
| ill individuals | 0.599976 |
| CDC | 0.577834 |
| illnesses | 0.542878 |
| multistate cluster | 0.591012 |
| number | 0.529071 |
| recent FSIS recall | 0.712635 |
| beef products | 0.57636 |
| ill persons | 0.66906 |
| PM EDT | 0.591868 |
| OutbreakNet team | 0.576841 |
| Poultry Hotline | 0.572084 |
| median age | 0.584227 |
| PulseNet staff | 0.577682 |
| Food Safety | 0.590372 |
| patients | 0.553315 |
| public health officials | 0.664479 |
| particular DNA fingerprint | 0.637948 |
| Escherichia coli O157 | 0.761644 |
| pulsed-field gel electrophoresis | 0.641523 |
| illness onset | 0.679624 |
| multistate outbreak | 0.636326 |
| United States | 0.676387 |
| resides | 0.514858 |
| Washington. More information | 0.578534 |
|
| illness onset dates | 0.659583 |
| mid-October | 0.518299 |
| Agriculture | 0.515566 |
| epi curve | 0.583525 |
| epidemic curve | 0.581402 |
| local health departments | 0.632015 |
| E. coli | 0.925792 |
| outbreak strain | 0.784035 |
| local partners | 0.575325 |
| HUS | 0.515673 |
| E. coli Cases | 0.722558 |
| South Dakota | 0.576279 |
| FSIS web site | 0.710192 |
| hemolytic uremic syndrome | 0.655524 |
| food source | 0.574978 |
| additional epidemiologic information | 0.647049 |
| H7 | 0.759529 |
| United States Department | 0.674172 |
| National Steak | 0.578965 |
| time | 0.526738 |
| non-intact steaks | 0.578239 |
| chart | 0.525308 |
| hospitalizations | 0.519376 |
| Inspection Service | 0.592024 |
|
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| 6325 |
Centers for Disease Control and Prevention |
Html |
en |
Integrating a multimode design into a national random-digit-dialed telephone survey. |
null |
| landline telephone methods | 0.4743 |
| landline telephone noncoverage | 0.463941 |
| cellular telephone modes | 0.4109 |
| landline RDD surveys | 0.472189 |
| cellular telephone interview | 0.395868 |
| landline telephone surveys | 0.553268 |
| cellular telephone numbers | 0.535435 |
| Survey Cellular Telephone | 0.434728 |
| RDD telephone surveys | 0.520964 |
| cellular telephones | 0.618556 |
| cellular telephone coverage | 0.415525 |
| health telephone survey | 0.458589 |
| RDD landline frames | 0.510585 |
| multimode design | 0.445817 |
| cellular telephone proportion | 0.389671 |
| current RDD landline | 0.482726 |
| landline telephone survey | 0.809527 |
| landline RDD survey | 0.573783 |
| landline telephones | 0.427617 |
| cellular telephone respondents | 0.428019 |
| cellular telephone frames | 0.392274 |
| physical health measurements | 0.455195 |
| risk factor surveillance | 0.467439 |
| BRFSS data collection | 0.447372 |
|
| RDD telephone sampling | 0.4332 |
| Public Opinion | 0.459711 |
| mail follow-up survey | 0.472061 |
| cellular telephone survey | 0.434142 |
| traditional RDD landline | 0.532335 |
| self-reported data | 0.452897 |
| telephone survey mode | 0.47445 |
| RDD landline telephone | 0.914099 |
| American Statistical Association | 0.426886 |
| landline BRFSS data | 0.491074 |
| landline RDD telephone | 0.548014 |
| public health | 0.407587 |
| cellular telephone interviews | 0.451935 |
| landline telephone–based RDD | 0.479964 |
| lack landline telephones | 0.425069 |
| cellular telephone–only households | 0.520936 |
| response rates | 0.466067 |
| health | 0.48052 |
| ongoing landline telephone | 0.430948 |
| monthly landline | 0.417122 |
| landline telephone BRFSS | 0.549365 |
| data collection | 0.806802 |
| sample telephone numbers | 0.398414 |
| behavioral risk factor | 0.468262 |
|
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| 6836 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - CDC's Global Disease Detection Programs in South Africa |
The South Africa Regional Global Disease Detection Centre (SARGDDC) builds global health security by enhancing capacity in South Africa to detect and respond to infectious disease threats through surveillance, workforce development, and public health research and response. |
| Global Disease Detection | 0.568526 |
| control influenza | 0.491548 |
| infectious disease threats | 0.563693 |
| supervised work experience | 0.51046 |
| Influenza Reference Laboratory | 0.587331 |
| Disease Control | 0.46022 |
| Africa’s capacity | 0.478534 |
| IHR capacity building | 0.560689 |
| zoonotic disease surveillance | 0.605847 |
| South Africa Field | 0.601397 |
| enhanced surveillance | 0.505887 |
| Health Program | 0.707939 |
| National Health Laboratory | 0.616159 |
| infectious disease outbreaks | 0.537066 |
| evidence-based policy decisions | 0.499999 |
| public health expertise | 0.562106 |
| wide variety | 0.524805 |
| neurologic disease surveillance | 0.60384 |
| early warning systems | 0.495532 |
| synergistic program components | 0.543134 |
| laboratory systems | 0.438781 |
| CDC’s Division | 0.451736 |
| CDC core expertise | 0.552432 |
| South Africa | 0.902481 |
| laboratory surveillance | 0.495402 |
|
| Biological Engagement Program | 0.574112 |
| global health security | 0.611455 |
| Health spectrum | 0.453749 |
| strong regional partners | 0.503249 |
| Epidemiology Training Program | 0.620299 |
| Emerging Infections Program | 0.585679 |
| rapid response activities | 0.508682 |
| public health threats | 0.588496 |
| surveillance systems | 0.516127 |
| public health capacities | 0.59386 |
| public health | 0.822228 |
| South Africa Regional | 0.612266 |
| infection control practices | 0.512809 |
| National Institute | 0.44029 |
| National Influenza Center | 0.59155 |
| public health importance | 0.589496 |
| South Africa NDoH | 0.585674 |
| sentinel surveillance | 0.488755 |
| Influenza Program | 0.713281 |
| South African government | 0.518661 |
| public health capacity | 0.663811 |
| South Africa National | 0.602216 |
| NICD | 0.442427 |
| 2-year training program | 0.573109 |
|
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| 7870 |
Centers for Disease Control and Prevention |
Html |
en |
Jaundice/Kernicterus - Health Communication |
Jaundice/Kernicterus - Gateway to Health Communication - CDC |
| yellow coloring | 0.356009 |
| newborn metabolic screening | 0.453271 |
| body | 0.229401 |
| mental retardation | 0.36125 |
| loss | 0.231446 |
| whites | 0.22719 |
| problem | 0.260811 |
| blood sample | 0.328052 |
| teeth | 0.231221 |
| bilirubin levels | 0.618809 |
| untreated jaundice | 0.580451 |
| liver | 0.227585 |
| uncontrollable movements | 0.336458 |
| brain damage | 0.763511 |
| Cal | 0.488106 |
| vision | 0.231616 |
| extreme jaundice | 0.540052 |
| newborn babies | 0.699745 |
| doctors | 0.247875 |
| difficulty breathing | 0.322903 |
| exchange | 0.227645 |
| simple blood test | 0.42163 |
| special blood | 0.440196 |
| problems | 0.267159 |
| yellow pigment | 0.355303 |
|
| Yes. Jaundice | 0.573548 |
| dark skin tones | 0.434947 |
| high levels | 0.330482 |
| preventable life-long disability | 0.456055 |
| new baby | 0.34618 |
| tragic disability | 0.334377 |
| phototherapy | 0.234799 |
| hospital | 0.291356 |
| 7-pound healthy baby | 0.431253 |
| severity | 0.266383 |
| special blood transfusion | 0.419024 |
| yellow skin | 0.339775 |
| little jaundice | 0.58109 |
| jaundice | 0.94453 |
| drools | 0.233488 |
| light therapy | 0.329578 |
| healthy baby | 0.443884 |
| doctor | 0.257524 |
| kernicterus | 0.581437 |
| special lights | 0.329339 |
| baby | 0.580822 |
| neck – symptoms | 0.325749 |
| risk | 0.261436 |
| time | 0.256294 |
|
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Centers for Disease Control and Prevention |
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en |
Preventing Chronic Disease | Physical Activity Surveillance in Parks Using Direct Observation - CDC |
Primary features of observational public health surveillance instruments are that they are valid, can reliably estimate physical activity behaviors, and are useful across diverse geographic settings and seasons by different users. Previous studies have reported the validity and reliability of Systematic Observation of Play and Recreation in Communities (SOPARC) to estimate park and user characteristics. The purpose of this investigation was to establish the use of SOPARC as a surveillance instrument and to situate the findings from the study in the context of the previous literature. |
| North Carolina | 0.581703 |
| park users | 0.825418 |
| target areas | 0.610413 |
| diverse geographic settings | 0.607559 |
| target area | 0.556291 |
| direct observation assessment | 0.551718 |
| data | 0.597816 |
| physical activity behaviors | 0.587134 |
| different users | 0.590842 |
| parks | 0.658939 |
| Measuring physical activity | 0.569108 |
| total park users | 0.58152 |
| park visitors | 0.552189 |
| moderate-to-vigorous physical activity | 0.609502 |
| public health surveillance | 0.654402 |
| national public health | 0.553975 |
| Phys Act Health | 0.573328 |
| surveillance instrument | 0.591361 |
| SOPARC | 0.603409 |
| active park users | 0.58068 |
| park studies | 0.556878 |
| diverse park settings | 0.565228 |
| direct observation | 0.606781 |
| health surveillance instrument | 0.583098 |
| recreation centers | 0.574271 |
|
| direct observation instruments | 0.575614 |
| vigorous activity | 0.557247 |
| Albuquerque parks | 0.552803 |
| Columbus | 0.55333 |
| proportion | 0.555627 |
| city | 0.557871 |
| age group | 0.581002 |
| park physical activity | 0.600759 |
| different park areas | 0.5743 |
| park features | 0.576476 |
| population physical activity | 0.582987 |
| data collection tool | 0.5531 |
| health surveillance instruments | 0.564231 |
| park-based physical activity | 0.571225 |
| park characteristics | 0.563711 |
| reliable observation instrument | 0.558147 |
| data collection | 0.560023 |
| Chapel Hill | 0.751275 |
| physical activity | 0.931773 |
| national physical activity | 0.588984 |
| leisure-time physical activity | 0.607365 |
| New Mexico | 0.56662 |
| Risk Behavior Surveillance | 0.551864 |
| MVPA | 0.591566 |
|
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| 11213 |
Centers for Disease Control and Prevention |
Html |
es |
Respuesta de salud públicaal cambio climático |
El cambio climático amenaza la salud y el bienestar de los seres humanos en muchas formas. Averigüe qué están haciendo los CDC para la prevención de los efectos en la salud del cambio climático y la adaptación a estos efectos. |
| New York | 0.841195 |
| iniciativa ciudades | 0.590305 |
| Rhode Island | 0.576766 |
| Archivo Apple Quicktime | 0.715388 |
| Archivo RealPlayer | 0.598604 |
| Archivo Microsoft PowerPoint | 0.740272 |
| Archivo Adobe PDF | 0.71299 |
| posibles efectos | 0.698374 |
| trabajo brace | 0.618849 |
| diseña programas | 0.599356 |
| Archivo Microsoft | 0.978635 |
|
| Archivo Microsoft Word | 0.736666 |
| Archivo Texto | 0.588148 |
| New York City | 0.682537 |
| abundantes precipitaciones | 0.643351 |
| Iniciativa Estados | 0.587701 |
| Alaska Anchorage | 0.602626 |
| Archivo Zip Comprimido | 0.711421 |
| Archivo Microsoft Excel | 0.711559 |
| Salud Circumpolares | 0.698629 |
| única inversión | 0.604075 |
| vigilancia centinela | 0.597236 |
|
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| 13589 |
Centers for Disease Control and Prevention |
Html |
en |
International Fetal Alcohol Spectrum Disorders Awareness Day- September 9, 2015 |
Alcohol use during pregnancy can cause a range of lifelong physical, behavioral, and intellectual disabilities known as fetal alcohol spectrum disorders (FASDs) (1). Alcohol use during pregnancy can also cause miscarriage, stillbirth, prematurity, and sudden infant death syndrome (2). During pregnancy, there is no known safe amount of alcohol use as well as no safe time and no safe type of alcohol to drink. |
| national partners | 0.575086 |
| endorsement | 0.478837 |
| Human Services | 0.685534 |
| evidence-based approaches | 0.569537 |
| Implementation Centers | 0.57438 |
| MMWR HTML versions | 0.697185 |
| U.S. Department | 0.680412 |
| brief counseling | 0.571758 |
| disorders | 0.431514 |
| identification | 0.454447 |
| electronic PDF version | 0.685085 |
| FASD Practice | 0.621358 |
| safe time | 0.594316 |
| Contact GPO | 0.59729 |
| pregnancy | 0.591002 |
| commercial sources | 0.56544 |
| alcohol screening | 0.731629 |
| current prices | 0.55915 |
| original paper copy | 0.69507 |
| fetal alcohol spectrum | 0.941997 |
| FASD Awareness | 0.629408 |
| prematurity | 0.444223 |
| U.S. Government Printing | 0.69977 |
| original MMWR paper | 0.6914 |
|
| Superintendent | 0.43238 |
| range | 0.431623 |
| MMWR readers | 0.570429 |
| character translation | 0.557235 |
| intellectual disabilities | 0.595419 |
| sudden infant death | 0.756398 |
| syndrome | 0.431189 |
| lifelong physical | 0.600002 |
| FASDs | 0.509712 |
| format errors | 0.560474 |
| reminder | 0.43052 |
| miscarriage | 0.442057 |
| best advice | 0.577984 |
| typeset documents | 0.567082 |
| systems-level practice changes | 0.743293 |
| trade names | 0.565562 |
| Healthcare professionals | 0.572047 |
| official text | 0.555281 |
| http://www.cdc.gov/ncbddd/fasd/training.html | 0.429436 |
| non-CDC sites | 0.562941 |
| safe type | 0.594134 |
| information | 0.487227 |
| electronic conversions | 0.554911 |
| printable versions | 0.550626 |
|
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| 13803 |
Centers for Disease Control and Prevention |
Html |
en |
Standards for Adult Immunization Practices |
Standards for Adult Immunization Practice. ALL healthcare professionals – whether they provide vaccinations or not – should ensure their adult patients are fully immunized. |
| American Medical Association | 0.349466 |
| Size | 0.335573 |
| tips | 0.286045 |
| vaccine referral options | 0.382564 |
| new standards | 0.362131 |
| vaccine administration | 0.317068 |
| Vaccine Advisory Committee | 0.575109 |
| National Vaccine Advisory | 0.566709 |
| Address patient questions | 0.366375 |
| vaccination practice | 0.31287 |
| immunization program | 0.399378 |
| latest CDC recommendations | 0.372038 |
| evidence-based strategies | 0.283588 |
| practice standard | 0.422458 |
| n’t stock | 0.288581 |
| health care professionals | 0.352015 |
| Adult Vaccinations | 0.294077 |
| patients | 0.555632 |
| Patients trust | 0.304515 |
| complete list | 0.289298 |
| standards | 0.402066 |
| Team-Based Immunization | 0.403407 |
| Immunization Summit site | 0.487223 |
| potential costs | 0.293481 |
| Adult Immunization Practice | 0.986017 |
|
| immunization registry | 0.424424 |
| color | 0.336083 |
| vaccines | 0.416855 |
| importance | 0.29921 |
| fact sheets | 0.286076 |
| strongly recommending vaccines | 0.393723 |
| CME credits | 0.281117 |
| vaccine referral | 0.410608 |
| immunization providers | 0.416552 |
| Implement protocols | 0.294291 |
| adult patients | 0.426849 |
| vaccine needs assessment | 0.387906 |
| National Adult | 0.29992 |
| Factsheet | 0.294286 |
| healthcare professionals | 0.345152 |
| Immunization Information Systems | 0.454933 |
| adult vaccination | 0.357825 |
| Immunization Action Coalition | 0.462395 |
| Refer patients | 0.307978 |
| best advice | 0.288713 |
| resources | 0.293318 |
| healthcare provider organizations | 0.363645 |
| Highlight positive experiences | 0.368891 |
| Vaccine-preventable diseases | 0.289444 |
|
CLICK HERE |