| 1145 |
Centers for Disease Control and Prevention |
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Pool Chemical-Associated Health Events in Public andResidential Settings - United States, 2003-2012, and Minnesota,2013 |
Michele C. Hlavsa, MPH1, Trisha J. Robinson, MPH2, Sarah A. |
| seriously injured body | 0.46161 |
| injuries | 0.533297 |
| U.S. Consumer Product | 0.470088 |
| birthday party | 0.462626 |
| 71-character narrative fields | 0.461607 |
| aquatics staff health | 0.473013 |
| ill persons | 0.489156 |
| free chlorine* levels | 0.461191 |
| health events | 0.669832 |
| National Electronic Injury | 0.471288 |
| state pH maximum | 0.464242 |
| personal protective equipment | 0.513553 |
| pool owners | 0.465309 |
| emergency department | 0.466601 |
| hot tubs/spas | 0.468107 |
| remediation steps | 0.460426 |
| national estimates | 0.489439 |
| local agencies | 0.464635 |
| recreational water venues | 0.905183 |
| chemical disinfectant levels | 0.462573 |
| pool chemical–associated health | 0.569284 |
| United States | 0.510437 |
| NEISS data limits | 0.4626 |
| ED visits | 0.463744 |
|
| infectious pathogens | 0.461972 |
| pool chemical code | 0.501422 |
| U.S. Census Bureau | 0.461364 |
| NEISS-participating EDs | 0.460717 |
| adverse health events | 0.528339 |
| pool chemical safety | 0.488455 |
| pool chemicals | 0.79151 |
| poor pool operation | 0.490063 |
| recreational water venue | 0.469807 |
| public health | 0.480162 |
| hotel swimming pool | 0.496017 |
| pool operators | 0.46145 |
| Ñ?ЛП
Pool chemicals | 0.522689 |
| complex sampling design | 0.461021 |
| pool chemistry | 0.495106 |
| incompatible pool chemicals | 0.498476 |
| NEISS pool | 0.468049 |
| Model Aquatic Health | 0.480364 |
| recreational water–associated outbreaks | 0.462463 |
| interactive fountains | 0.466184 |
| Minnesota pool | 0.465983 |
| pool chemical handling | 0.494798 |
| MDH environmental health | 0.48461 |
| median estimated number | 0.469883 |
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Centers for Disease Control and Prevention |
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Bismuth telluride, undoped - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 8110 |
Centers for Disease Control and Prevention |
Html |
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Environmental Health Services |
NCEH/ATSDR Program Overviews/State Fact Sheets |
| CDC | 0.714653 |
| busy environmental health | 0.63042 |
| environmental health issues | 0.635383 |
| environmental assessments | 0.597096 |
| environmental health | 0.912353 |
| human health | 0.578199 |
| swimming-related emergency room | 0.572007 |
| Environmental Health Training | 0.687732 |
| illness outbreaks | 0.80851 |
| vectorborne disease outbreak | 0.576526 |
| environmental health expertise | 0.738376 |
| integrated pest management | 0.571181 |
| health care costs | 0.609849 |
| practice-based research | 0.618874 |
| public health pests | 0.611111 |
| evidence-based guidance | 0.684623 |
| Training. CDC | 0.590012 |
| national credentialing exams | 0.571253 |
| drinking water supplies | 0.647046 |
| foodborne illness outbreaks | 0.695464 |
| local disease prevention | 0.57743 |
| food safety professionals | 0.588041 |
| Emergency Response | 0.576368 |
| recent success stories | 0.571707 |
| Environmental Health Specialists | 0.640139 |
|
| territorial environmental health | 0.641794 |
| United States | 0.636425 |
| Health Threats | 0.583409 |
| Environmental Public Health | 0.643803 |
| Environmental Assessment Information | 0.606685 |
| U.S. public health | 0.611378 |
| technical assistance | 0.696527 |
| environmental health contributors | 0.636503 |
| public health | 0.787512 |
| waterborne illness outbreaks | 0.689651 |
| local partners | 0.578203 |
| hazardous substances | 0.574418 |
| environmental health practitioners | 0.692719 |
| public health programs | 0.668817 |
| environmental health professionals | 0.789579 |
| drinking water systems | 0.582008 |
| local public health | 0.670331 |
| food safety | 0.606095 |
| environmental causes | 0.592658 |
| food safety inspections | 0.579259 |
| Model Aquatic Health | 0.595898 |
| health services staff | 0.650921 |
| CDC environmental health | 0.689142 |
| food service environment | 0.590401 |
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| 9607 |
Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Table L2.1 Lifetime Asthma Prevalence Rate (Percent) by Sex and State or Territory |
BRFSS 2008 - Table L2.1 Lifetime Asthma Prevalence Rate (Percent) by Sex and State or Territory |
| || | 0.490376 |
| HI | 0.401025 |
| TX | 0.392214 |
| 0.99 | 0.517894 |
| **U.S. Total | 0.638481 |
| MD | 0.40203 |
| sample size | 0.91523 |
| binomial distribution | 0.636423 |
| MN | 0.396292 |
| MO | 0.391329 |
| IL | 0.399426 |
| MS | 0.398283 |
| MT | 0.394108 |
| AK | 0.413928 |
| standard error | 0.63359 |
| 10.6 | 0.516633 |
| 14.1 | 0.501535 |
| territories | 0.488898 |
| NE | 0.395954 |
| AZ | 0.410826 |
| NH | 0.394438 |
| 18.2 | 0.498443 |
| NJ | 0.39239 |
| 14.5 | 0.50866 |
| District | 0.385176 |
|
| VT | 0.388944 |
| NM | 0.394266 |
| FL | 0.406891 |
| NV | 0.394605 |
| NY | 0.394912 |
| SC | 0.389058 |
| SD | 0.390285 |
| small sample size | 0.845841 |
| GA | 0.401073 |
| CA | 0.414881 |
| 50 states | 0.617811 |
| WV | 0.387433 |
| U.S. Total** | 0.746942 |
| WY | 0.388914 |
| *CI denotes confidence | 0.869487 |
| normal approximation | 0.630641 |
| KS | 0.400307 |
| KY | 0.397258 |
| GU | 0.388995 |
| CT | 0.402968 |
| PA | 0.394308 |
| LA | 0.402906 |
| confidence interval | 0.918324 |
| TN | 0.388398 |
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| 9623 |
Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Table C4 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Race and State or Territory |
BRFSS 2008 - Table C4 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Race and State or Territory |
| Black | 0.915677 |
| AK Multi | 0.578464 |
| AR Multi | 0.577285 |
| U.S. Total** Black | 0.585891 |
| Child Table | 0.756484 |
| NM Multi | 0.57024 |
| DC Multi | 0.577571 |
| Tweet Share Compartir | 0.570807 |
| MD Multi | 0.574518 |
| CT Multi | 0.575568 |
| GA Multi | 0.574208 |
| CA Multi | 0.578685 |
| page options Skip | 0.571525 |
| IA Multi | 0.574369 |
| U.S. Total** White | 0.585969 |
| HI Multi | 0.57386 |
| Current Asthma Prevalence | 0.640241 |
| NY Multi | 0.571427 |
| MA Multi | 0.574246 |
| U.S. Total** Multi | 0.607448 |
| MT Multi | 0.570374 |
| MN Multi | 0.57156 |
| ID Multi | 0.575526 |
| Table C4 Current | 0.582662 |
|
| IL Multi | 0.573523 |
| NV Multi | 0.570533 |
| FL Multi | 0.575683 |
| Search Form Controls | 0.64723 |
| KS Multi | 0.573881 |
| MO Multi | 0.570924 |
| file | 0.597259 |
| NH Multi | 0.570427 |
| AZ Multi | 0.576952 |
| U.S. Total** | 0.634967 |
| Table L2 | 0.613705 |
| MI Multi | 0.571582 |
| Search Controls | 0.570523 |
| )|| | 0.601282 |
| Multi | 0.948795 |
| Child Table L2 | 0.600598 |
| AL Multi | 0.579742 |
| MS Multi | 0.571961 |
| Child Table C2 | 0.599965 |
| White | 0.916515 |
| LA Multi | 0.575003 |
| Asthma Prevalence Rate | 0.638 |
| KY Multi | 0.573286 |
| Table C4 | 0.615439 |
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| 10561 |
Centers for Disease Control and Prevention |
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Information for Specific Groups | Learn the Signs. Act Early | NCBDDD |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| Microsoft PowerPoint file | 0.767007 |
| ePub file | 0.682158 |
| Audio/Video file | 0.66831 |
| Email CDC-INFO | 0.620453 |
| Birth Defects | 0.816535 |
| Microsoft Word file | 0.770187 |
| Early Initiative Act | 0.763042 |
| Human Services | 0.615103 |
| Specific Groups  Families | 0.738021 |
| Healthcare Providers | 0.736596 |
| navigation Skip | 0.706656 |
| U.S. Department | 0.615251 |
| Milestone Tracker App | 0.732631 |
| Amazing Books | 0.625956 |
| Clifton Road Atlanta | 0.7115 |
| Disease Control | 0.612533 |
| Microsoft Excel file | 0.764146 |
| Tweet Share Compartir | 0.754819 |
| National Center | 0.724325 |
| list Skip | 0.714277 |
| Signs Home | 0.638 |
| page options Skip | 0.838932 |
| different file formats | 0.76835 |
| Apple Quicktime file | 0.759622 |
| Specific Groups | 0.879716 |
|
| Positive Parenting Tips | 0.711841 |
| Family Service Providers | 0.927219 |
| CDC A-Z | 0.746222 |
| RealPlayer file | 0.670758 |
| Adobe PDF file | 0.761399 |
| Groups | Learn | 0.654957 |
| Tools Videos | 0.624338 |
| Developmental Disabilities | 0.822351 |
| Free Materials View | 0.745212 |
| Search Form Controls | 0.990858 |
| Healthcare Providers Autism | 0.730855 |
| Content source | 0.614342 |
| Information For… | 0.743703 |
| Order Materials | 0.639416 |
| A-Z Index | 0.659195 |
| Child Development | 0.621267 |
| Program Health education | 0.723137 |
| Search Controls | 0.773449 |
| Early Intervention Contacts | 0.752431 |
| Policy Makers | 0.737713 |
| Text file | 0.672246 |
| Early Childhood Educators | 0.933569 |
| Head Start Programs | 0.744268 |
| RIS file | 0.679846 |
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| 11248 |
Centers for Disease Control and Prevention |
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Hepatitis C: hacerles laprueba a los nacidos entre 1945 y 1965 salva vidas |
Cerca de 3 millones de estadounidenses tienen hepatitis C; la mayoría son baby boomers o personas que nacieron entre 1945 y 1965. Los baby boomers tienen 5 veces más probabilidades de tener hepatitis C. Si usted nació en esos años, hable con su médico acerca de hacerse la prueba |
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| 11963 |
Centers for Disease Control and Prevention |
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Inside Knowledge Campaign | Get the Facts About Gynecologic Cancer |
The Inside Knowledge campaign raises awareness of the five main types of gynecologic cancer (cervical, ovarian, uterine, vaginal, and vulvar) and encourages women to pay attention to their bodies, so they can recognize any warning signs and seek medical care. |
| Knowledge encourages women | 0.862434 |
| Knowledge campaign | 0.587727 |
| radio PSAs | 0.66357 |
| vulvar | 0.311671 |
| bodies | 0.355979 |
| advice | 0.259339 |
| Behind-the-Scenes videos | 0.567982 |
| gynecologic cancer | 0.684875 |
| kinds | 0.258417 |
| young age | 0.518055 |
| awareness | 0.266858 |
| cervical cancer scare | 0.946665 |
| Spanish | 0.259894 |
| main types | 0.597635 |
|
| BRCA tool | 0.517304 |
| Pablo | 0.28332 |
| warning signs | 0.577018 |
| Cote’s story | 0.628882 |
| posters | 0.259175 |
| medical care | 0.564772 |
| cancer symptoms | 0.516067 |
| English | 0.259967 |
| public service announcements | 0.856667 |
| BRCA gene mutation | 0.811195 |
| BRCA genes | 0.521703 |
| Knowledge television | 0.548859 |
| attention | 0.361971 |
| risk | 0.29584 |
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Centers for Disease Control and Prevention |
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Preventing Type 2 Diabetes | Diabetes | NDPP |
National Diabetes Prevention Program |
| CDC Recognition | 0.237955 |
| lasting results | 0.236489 |
| trained lifestyle coach | 0.30632 |
| type | 0.325873 |
| diabetes prevention lifestyle | 0.405712 |
| body weight | 0.260058 |
| quick fix | 0.239348 |
| online CDC-recognized lifestyle | 0.298075 |
| CDC-recognized lifestyle change | 0.668657 |
| new skills | 0.236888 |
| fad diet | 0.23883 |
| lifestyle change program | 0.966028 |
| lifestyle coaches | 0.267491 |
| Program section | 0.2456 |
| health care costs | 0.264098 |
| sure thing | 0.239732 |
| structured lifestyle change | 0.305235 |
| healthier communities | 0.241001 |
| group support | 0.237403 |
| exercise class | 0.236778 |
| CDC-recognized diabetes prevention | 0.330393 |
| Diabetes Prevention Study | 0.303941 |
| lifestyle change programs | 0.401499 |
| heart attack | 0.275898 |
| United States | 0.235959 |
|
| certain aspects | 0.236441 |
| impaired glucose tolerance | 0.260085 |
| diabetes mellitus | 0.275909 |
| Programs work | 0.237371 |
| National DPP | 0.237313 |
| Change Program Details | 0.289592 |
| national diabetes prevention | 0.309544 |
| blood sugar test | 0.257511 |
| year-long program | 0.251161 |
| health care | 0.265093 |
| visit CDC | 0.241372 |
| Managing Diabetes webpage | 0.310738 |
| Fewer cases | 0.236125 |
| building confidence | 0.236883 |
| CDC-recognized program | 0.248293 |
| program—in person | 0.237869 |
| long commitment | 0.236857 |
| healthier eating | 0.238406 |
| physical activity | 0.273018 |
| employer-sponsored health plans | 0.262683 |
| prevention lifestyle change | 0.364594 |
| drastic weight loss | 0.263695 |
| risk | 0.247296 |
| notice changes | 0.237009 |
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Update: Interim Guidance for the Evaluation and Managementof Infants with Possible Congenital Zika Virus Infection - UnitedStates, August 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| validated developmental screening | 0.250449 |
| abnormal findings | 0.27803 |
| maternal testing | 0.267221 |
| congenital zika syndrome | 0.526251 |
| ABR testing | 0.254203 |
| primary care providers | 0.259177 |
| auditory brainstem response | 0.296186 |
| possible Zika virus | 0.327044 |
| probable Zika virus | 0.286832 |
| Zika virus test | 0.300156 |
| active Zika virus | 0.287496 |
| hearing screen | 0.256703 |
| health care providers | 0.319063 |
| Infant diagnostic testing | 0.253821 |
| provider concerns | 0.254796 |
| National Center | 0.252282 |
| maternal infection | 0.269433 |
| Zika virus RNA | 0.339266 |
| infants | 0.330916 |
| diagnostic testing | 0.261818 |
| maternal testing results | 0.253645 |
| laboratory evidence | 0.378306 |
| detectable Zika virus | 0.305531 |
| Zika virus disease | 0.286297 |
| perinatal Zika virus | 0.28586 |
|
| Zika virus transmission | 0.328943 |
| infant laboratory evaluation | 0.25895 |
| primary care provider | 0.274023 |
| infant serum | 0.254313 |
| maternal Zika virus | 0.39015 |
| maternal epidemiologic link | 0.253812 |
| infant laboratory testing | 0.275164 |
| infant Zika virus | 0.331766 |
| laboratory Zika virus | 0.293334 |
| Zika virus infection | 0.903378 |
| congenital infections | 0.267474 |
| Zika virus immunoglobulin | 0.276961 |
| congenital Zika infection | 0.31247 |
| congenital Zika virus | 0.604304 |
| comprehensive ophthalmologic exam | 0.256232 |
| congenital infection | 0.2952 |
| virus IgM testing | 0.298429 |
| Zika virus PCR | 0.283812 |
| newborn hearing screen | 0.251032 |
| postnatal infection | 0.254976 |
| positive zika virus | 0.326846 |
| Zika virus IgM | 0.331773 |
| virus testing results | 0.276776 |
| primary care | 0.278995 |
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