| 1042 |
Centers for Disease Control and Prevention |
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en |
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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Html |
en |
NCIRD | DBD Bulletin Fall 2011 | Preventable Diseases Network | CDC |
Division of Bacterial Diseases Bulletin Fall |
| training course | 0.722529 |
| ongoing support | 0.713911 |
| Haemophilus influenzae type | 0.828738 |
| new vaccines | 0.758629 |
| sentinel site visits | 0.796395 |
| RDB’s Streptococcus | 0.739895 |
| Western Pacific Region | 0.800279 |
| pneumococcal vaccines | 0.759373 |
| Vaccine Preventable Diseases | 0.837755 |
| rotavirus vaccines | 0.844508 |
| S. pneumoniae | 0.72052 |
| Mongolia national laboratory | 0.803416 |
| Global Meningitis Laboratory | 0.87971 |
| Bacterial Vaccine-Preventable Diseases | 0.844859 |
| Kenya RRL | 0.716877 |
| Global Reference Laboratory | 0.83957 |
| vaccine introduction | 0.729391 |
| surveillance data | 0.722367 |
| DBD laboratories | 0.77801 |
| Neisseria meningitidis | 0.732511 |
| laboratory IB-VPD posters | 0.80434 |
| countries | 0.715248 |
| vaccine impact post | 0.805854 |
| Streptococcus pneumoniae | 0.763305 |
| regional reference labs | 0.795708 |
|
| continuous power supply | 0.781024 |
| GRL works | 0.762149 |
| inadequate specimen handling | 0.785533 |
| high quality data | 0.792565 |
| quality control/quality assurance | 0.775079 |
| GRL activities | 0.769821 |
| DBD staff members | 0.867764 |
| Respiratory Diseases Branch | 0.802813 |
| surveillance capacity | 0.717328 |
| Bacterial Diseases | 0.732497 |
| IB-VPD network activities | 0.80492 |
| technical support | 0.726601 |
| site visits | 0.900471 |
| various training workshops | 0.808846 |
| GAVI CEO Seth | 0.819305 |
| GAVI Alliance | 0.83269 |
| global standard operating | 0.783733 |
| pentavalent vaccine | 0.71434 |
| Streptococcus Laboratory | 0.81947 |
| laboratory-based surveillance network | 0.854484 |
| regional offices | 0.801251 |
| bacterial disease surveillance | 0.819614 |
| new conjugate vaccines | 0.892495 |
| limited supply chains | 0.782386 |
|
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Centers for Disease Control and Prevention |
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Prevent Infections During Pregnancy | CDC Features |
If you're pregnant or planning a pregnancy, there are simple steps you can take to protect your unborn baby or newborn from infections that cause serious health problems. |
| pregnant hispanic women | 0.63043 |
| health care provider | 0.5346 |
| Zika virus | 0.515289 |
| mung bean sprouts | 0.375998 |
| pregnant women | 0.938531 |
| CMV infection | 0.620649 |
| pregnant woman | 0.51073 |
| hot dogs | 0.386918 |
| possibly contaminated food | 0.490822 |
| queso fresco | 0.369305 |
| sex partner | 0.377105 |
| strep test | 0.532603 |
| oral sex | 0.376625 |
| pregnancy | 0.560951 |
| soft cheeses | 0.536613 |
| unpasteurized) milk. | 0.377724 |
| queso blanco | 0.360848 |
| health problems | 0.386632 |
| congenital CMV infection | 0.59569 |
| listeriosis | 0.637139 |
| Aedes albopictus mosquito | 0.371896 |
| queso panela | 0.362079 |
| Zika Travel Information | 0.413168 |
| infected Aedes aegypti | 0.374729 |
|
| special travel considerations | 0.36898 |
| deli meats | 0.386189 |
| lunch meat packages | 0.365893 |
| Hispanic-style soft cheeses | 0.530071 |
| lunch meats | 0.383642 |
| cuajada en terrón | 0.36836 |
| Zika virus infection | 0.413439 |
| lightly cooked sprouts | 0.375407 |
| Zika | 0.567518 |
| group b strep | 0.836765 |
| deadly Listeria food | 0.405712 |
| possible listeriosis | 0.407184 |
| muscle aches | 0.396556 |
| Zika travel notices | 0.40322 |
| queso ranchero | 0.362484 |
| Regular hand washing | 0.395772 |
| sex | 0.428428 |
| commonly recommended step | 0.394722 |
| nonessential travel | 0.374082 |
| birth defects | 0.369014 |
| commercial cottage cheese | 0.371361 |
| sex toys | 0.381802 |
| healthcare provider | 0.443027 |
| up-to-date travel recommendations | 0.365184 |
|
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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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Centers for Disease Control and Prevention |
Html |
en |
Global Health - Chad |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
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Centers for Disease Control and Prevention |
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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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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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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 |
|
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Centers for Disease Control and Prevention |
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en |
Fire Fighter Fatality Investigation Report F2007-02 |
Career Fire Fighter Injured during Rapid Fire Progression in an Abandoned Structure Dies Six Days Later ? Georgia |
| experienced fire fighters | 0.615136 |
| self-contained breathing apparatus | 0.683915 |
| officer | 0.743441 |
| service time test | 0.61813 |
| new fire fighters | 0.617809 |
| Engine 16Â’s crew | 0.596479 |
| battalion | 0.600228 |
| fighters | 0.932537 |
| flow performance test | 0.609855 |
| single story duplex | 0.622712 |
| personal alert safety | 0.676034 |
| chief training officer | 0.602163 |
| dark black smoke | 0.661696 |
| initial size-up | 0.625659 |
| NIOSH Task Number | 0.597363 |
| SCBA | 0.694193 |
| 33-year old victim | 0.610845 |
| E16 acting officer | 0.61521 |
| gas flow test | 0.642548 |
| team members | 0.646782 |
| incident commander | 0.655831 |
| SCBA post-incident test | 0.622309 |
| SCBA status investigation | 0.602266 |
| heavy black smoke | 0.612405 |
|
| PASS device | 0.649114 |
| 33-year-old male career | 0.605361 |
| occupational health specialists | 0.59865 |
| NIOSH SCBA | 0.629516 |
| NIOSH SCBA Certification | 0.621162 |
| crew | 0.644382 |
| engine | 0.705507 |
| Incident Safety Officer | 0.680801 |
| victim | 0.790895 |
| Fighter Fatality Investigation | 0.651322 |
| rapid intervention team | 0.637803 |
| interior conditions | 0.613569 |
| engine company officer | 0.601775 |
| incident command | 0.635298 |
| black smoke | 0.701686 |
| structure | 0.754992 |
| static pressure test | 0.640388 |
| air flow performance | 0.639944 |
| command post | 0.670344 |
| incident structure | 0.605476 |
| NIOSH investigators | 0.624055 |
| company officer | 0.632625 |
| disoriented fire fighters | 0.627025 |
| positive pressure test | 0.610186 |
|
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