| 5240 |
Centers for Disease Control and Prevention |
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Take Care with Pet Reptiles | CDC Features |
Healthy reptiles and amphibians can carry Salmonella and other germs that make people sick. But there’s good news! You can take steps to keep you and your family healthy around these pets. |
| pets | 0.283667 |
| turtles | 0.846933 |
| small turtles | 0.657243 |
| feeding needs | 0.309867 |
| CDC | 0.252528 |
| reptiles | 0.978587 |
| sixty-nine percent | 0.350315 |
| food dishes | 0.337979 |
| unwanted reptiles | 0.435646 |
| roadside stands | 0.304957 |
| Clean reptile | 0.353522 |
| amphibian habitats | 0.323821 |
| cell phone | 0.315276 |
| reptile food | 0.349909 |
| African dwarf frogs | 0.521759 |
| wild reptiles | 0.441464 |
| Salmonella infections | 0.481518 |
| Forty-one percent | 0.359303 |
| young children | 0.526535 |
| Salmonella germs | 0.722277 |
| Federal law | 0.314382 |
|
| souvenir shops | 0.310223 |
| amphibians | 0.876596 |
| pet store | 0.510213 |
| tank water | 0.309181 |
| soapy water | 0.324431 |
| multistate Salmonella outbreaks | 0.683439 |
| equipment | 0.240752 |
| nationwide Salmonella outbreaks | 0.685906 |
| Healthy reptiles | 0.51347 |
| households | 0.208711 |
| clean items | 0.31065 |
| people | 0.493287 |
| food | 0.379553 |
| home | 0.229433 |
| reptile rescue | 0.350308 |
| higher chance | 0.318216 |
| local reputable pet | 0.489126 |
| environment | 0.303364 |
| Salmonella outbreaks | 0.687089 |
| pet reptile | 0.339009 |
| weak immune systems | 0.516951 |
|
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| 5338 |
Centers for Disease Control and Prevention |
Html |
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Understand Quarantine and Isolation |
Information on preparing for public health emergencies from the Centers for Disease Control and Prevention (CDC). Get a kit, make a plan, and be informed. |
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CLICK HERE |
| 5923 |
Centers for Disease Control and Prevention |
Html |
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Nickel metal and other compounds (as Ni) - 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 |
|
CLICK HERE |
| 7372 |
Centers for Disease Control and Prevention |
Html |
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Prevalence of Cholesterol Screening and High Blood Cholesterol Among Adults - United States, 2005, 2007, and 2009 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| total blood cholesterol | 0.424969 |
| current cholesterol recommendations | 0.390583 |
| public health practitioners | 0.349867 |
| Risk Factor Surveillance | 0.350589 |
| blood cholesterol screening | 0.409976 |
| National Health Interview | 0.33158 |
| self-reported health-care provider | 0.338458 |
| high blood cholesterol | 0.996739 |
| serum cholesterol levels | 0.396162 |
| National Heart Disease | 0.324835 |
| high cholesterol | 0.427561 |
| Current clinical practice | 0.329365 |
| percentage | 0.376867 |
| mean total blood | 0.337196 |
| Nutrition Examination Survey | 0.329452 |
| cholesterol control | 0.382032 |
| state-specific age-standardized percentages | 0.326211 |
| cholesterol screening | 0.533947 |
| ) data. | 0.354526 |
| self-reported screening | 0.342667 |
| Asian/Pacific Islanders | 0.329364 |
| U.S. adult civilians | 0.32685 |
| high total blood | 0.349922 |
| respondents | 0.341686 |
|
| lower levels | 0.340022 |
| median response rates | 0.352143 |
| orthogonal polynomial coefficients | 0.325966 |
| Behavioral Risk Factor | 0.350628 |
| total serum cholesterol | 0.395782 |
| blood cholesterol levels | 0.424823 |
| self-reported high blood | 0.431137 |
| adults | 0.33959 |
| self-reported cholesterol screening | 0.436089 |
| states | 0.327867 |
| blood cholesterol prevalence | 0.441074 |
| heart disease | 0.342633 |
| American Indian/Alaskan Native | 0.326899 |
| Healthy People | 0.39491 |
| therapeutic lifestyle changes | 0.341257 |
| Cholesterol questions | 0.398274 |
| random-digit–dialed telephone survey | 0.327715 |
| education categories | 0.327773 |
| Stroke Prevention | 0.324909 |
| National Cholesterol Education | 0.393813 |
| risk factor | 0.352721 |
| college degree | 0.343291 |
| high school diploma | 0.419515 |
| overall percentage | 0.325956 |
|
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| 7420 |
Centers for Disease Control and Prevention |
Html |
en |
FEMA-Provided Travel Trailer Study - Trailer Assessment |
NCEH provides leadership to promote health and quality of life by preventing or controlling those diseases, birth defects, or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| Public Health Assessment | 0.393835 |
| FEMA-Supplied Travel Trailers | 0.77655 |
| Formaldehyde Concentrations | 0.606515 |
| higher-than-typical indoor levels | 0.485933 |
| Formaldehyde Levels | 0.768477 |
| FEMA Temporary Housing | 0.41529 |
| TKC Expert Panel | 0.432655 |
| Laboratory-based Method | 0.273135 |
| CDC Contact Center | 0.476131 |
| preliminary results | 0.2739 |
| Unoccupied Federal Emergency | 0.479818 |
| Agency-owned Travel Trailers | 0.460901 |
| Direct-reading Instruments | 0.235413 |
|
| interim report | 0.398901 |
| Berkeley National Laboratory | 0.393325 |
| trailer assessment reports | 0.471248 |
| background section | 0.225054 |
| Short-term Monitoring | 0.245343 |
| travel trailers | 0.903936 |
| mobile homes | 0.673963 |
| Air Quality | 0.213759 |
| Volatile Organic Compounds | 0.416943 |
| final report | 0.683132 |
| Park Models | 0.435527 |
| additional citations | 0.233777 |
|
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| 8921 |
Centers for Disease Control and Prevention |
Html |
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Vaccine Information Statement: Haemophilus Influenzae Type b (Hib) - Vaccines - CDC |
Haemophilus Influenzae Type b (Hib) Vaccine Information Statement |
| Compensation Program | 0.243326 |
| Haemophilus influenzae type | 0.30597 |
| vision changes | 0.245237 |
| Page | 0.279943 |
| National Vaccine Injury | 0.406889 |
| sickle cell disease | 0.295177 |
| n’t feeling | 0.245633 |
| nearest hospital | 0.243864 |
| severe allergies | 0.262777 |
| severe allergic reaction | 0.525796 |
| single shot | 0.252997 |
| fast heartbeat | 0.244593 |
| deafness. Hib disease | 0.486185 |
| Mild Problems | 0.247314 |
| severe allergy | 0.261964 |
| Vaccine Adverse Event | 0.39902 |
| brain damage | 0.247863 |
| VAERS website | 0.252051 |
| life-threatening allergic reaction | 0.30409 |
| person | 0.272924 |
| older children | 0.287855 |
| previous dose | 0.256842 |
| severe swelling | 0.275332 |
| problems | 0.253596 |
| United States | 0.304299 |
|
| adults | 0.247331 |
| different brands | 0.247867 |
| medical advice | 0.243776 |
| shot | 0.253407 |
| remote chance | 0.243551 |
| Final/Booster Dose | 0.259176 |
| Hib disease | 0.671892 |
| state health department | 0.281573 |
| bacterial meningitis | 0.253602 |
| spinal cord | 0.250605 |
| Hib disease. | 0.434109 |
| vaccine package insert | 0.404222 |
| vaccine safety site | 0.40355 |
| bone marrow transplant | 0.285228 |
| Hib vaccine | 0.972976 |
| severe pain | 0.257691 |
| people | 0.276845 |
| certain vaccines | 0.249627 |
| medical procedure | 0.243292 |
| vaccine. Combination vaccines | 0.294111 |
| invasive Hib disease | 0.580225 |
| certain medical conditions | 0.297217 |
| doctor | 0.256844 |
| federal program | 0.244441 |
|
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| 11416 |
Centers for Disease Control and Prevention |
Html |
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CDC laboratories produce first genomic sequence of Liberian Ebola |
To produce the first detailed genomic sequence of the Liberian Ebola virus, CDC laboratories used advanced molecular detection (AMD) methods. |
| American patients | 0.736105 |
| Liberian virus | 0.966356 |
| hemorrhagic fever viruses | 0.713029 |
| access | 0.345458 |
| data | 0.337297 |
| genetic sequence information | 0.724161 |
| United States | 0.548953 |
| Guinea | 0.398592 |
| methods | 0.339495 |
| Liberian viral samples | 0.818076 |
| Ebola infection | 0.644914 |
| Sierra Leone | 0.825549 |
| responders | 0.357456 |
| treatments | 0.385947 |
| mutations | 0.404831 |
| different populations | 0.576446 |
| initial test results | 0.737337 |
| genetic material | 0.543839 |
| illness | 0.373183 |
| CDC laboratory scientists | 0.814313 |
| severity | 0.345779 |
| diagnostic tests | 0.536773 |
| disease detection | 0.514482 |
| process | 0.341617 |
|
| CDC scientists | 0.838314 |
| generation sequencing | 0.586415 |
| next-generation sequencing | 0.58305 |
| epidemic | 0.346327 |
| confidence | 0.338637 |
| research laboratories | 0.560467 |
| diagnosis | 0.345823 |
| Atlanta area hospital | 0.74929 |
| history | 0.346255 |
| bat populations | 0.525056 |
| genetic sequences | 0.783562 |
| new tools | 0.560558 |
| way | 0.338887 |
| AMD technology | 0.543191 |
| additional samples | 0.515771 |
| largest Ebola outbreak | 0.956281 |
| interventions | 0.34237 |
| field | 0.385806 |
| Asia | 0.33752 |
| West Africa | 0.562535 |
| pathogen | 0.345828 |
| detailed genetic sequencing | 0.796055 |
| Advanced molecular detection | 0.715554 |
|
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| 12034 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease GIS Snapshot | Tracking Youth Self-Inflicted Injury Hospitalizations to Target High-Risk Communities, Leverage Resources, and Unify Stakeholder Efforts: Illinois Department of Public Health - CDC |
Tracking Youth Self-Inflicted Injury Hospitalizations to Target High-Risk Communities, Leverage Resources, and Unify Stakeholder Efforts: Illinois Department of Public Health |
| Illinois hospital discharge | 0.313015 |
| Health Services Administration | 0.437648 |
| Gatekeeper training sessions | 0.365844 |
| Gatekeeper training program | 0.58164 |
| self-inflicted injuries | 0.327722 |
| various school districts | 0.295087 |
| online Gatekeeper training | 0.44073 |
| various youth populations | 0.309628 |
| Health Promotion | 0.285855 |
| Hospitalization data | 0.311151 |
| Illinois Department | 0.386426 |
| Nancy L. Amerson | 0.286268 |
| high hospitalization rates | 0.409779 |
| suicide prevention activities | 0.341339 |
| youth self-inflicted injury | 0.491347 |
| Illinois State Board | 0.321345 |
| self-inflicted injury | 0.921961 |
| high school administrators | 0.306972 |
| Benjamin S. Arbise | 0.28184 |
| adolescent suicide attempts | 0.316647 |
| Kognito Solutions | 0.30381 |
| W. Jefferson St | 0.281412 |
| Suicide Prevention Project | 0.416114 |
| high-risk communities | 0.321266 |
|
| high hospitalization counts | 0.441451 |
| Lee Smith State | 0.291541 |
| Illinois Suicide Alliance | 0.335933 |
| high schools | 0.312183 |
| subject matter knowledge | 0.281966 |
| Public Health | 0.421478 |
| interactive online Gatekeeper | 0.356652 |
| Gatekeeper training | 0.645315 |
| future Gatekeeper training | 0.349191 |
| county level | 0.304971 |
| high school recruitment | 0.319557 |
| Substance Abuse | 0.332723 |
| Tribal Youth Suicide | 0.317416 |
| Illinois YSPP coordinator | 0.301505 |
| youth suicide prevention | 0.56332 |
| high-risk county | 0.41326 |
| adolescent suicide completion | 0.317326 |
| high-risk counties | 0.734257 |
| Gatekeeper trainings | 0.365206 |
| Chronic Disease Prevention | 0.349012 |
| Mental Health Services | 0.437676 |
| Public Health Service | 0.300845 |
| Gatekeeper training services | 0.367006 |
| GIS address geocoder | 0.289341 |
|
CLICK HERE |
| 13508 |
Centers for Disease Control and Prevention |
Html |
en |
Contact Lens Care Systems & Solutions | Contact Lenses | CDC |
null |
| Wu YT | 0.348663 |
| Stapleton F. Removal | 0.281951 |
| hydrogen peroxide-based solution | 0.317267 |
| commonly used care | 0.327379 |
| Ophthalmic Physiol Opt. | 0.355568 |
| clean tissue | 0.28333 |
| special case | 0.315939 |
| new contact lens | 0.452884 |
| contact lenses | 0.931013 |
| harmless saline solution | 0.324736 |
| contact lens case | 0.466515 |
| Stapleton F. Impact | 0.355136 |
| hard contact lens | 0.416567 |
| lens surface | 0.339713 |
| hydrogen peroxide-based solutions | 0.292865 |
| contact lens type | 0.415028 |
| multipurpose contact lens | 0.418993 |
| case hygiene guidelines | 0.28371 |
| store contact lenses | 0.410444 |
| contact lens storage | 0.552921 |
| Enzymatic protein removers | 0.281537 |
| Proper contact lens | 0.452976 |
| soft contact lens | 0.558889 |
| hard contact lenses | 0.428931 |
| contact lens wearers | 0.454442 |
|
| contact lens care | 0.633162 |
| Jones DB | 0.283975 |
| contact lens | 0.951682 |
| eye care provider | 0.808813 |
| soft contact lenses | 0.508057 |
| lens care systems | 0.491061 |
| hydrogen peroxide-based systems | 0.452391 |
| multipurpose solution | 0.408142 |
| disinfecting—your contact lenses | 0.39906 |
| air-drying lens cases | 0.362968 |
| lens storage cases | 0.435732 |
| rinsing contact lenses | 0.406712 |
| store soft contact | 0.347702 |
| lens case biofilm | 0.375345 |
| lens storage case | 0.401996 |
| Park BJ | 0.286612 |
| Chang DC | 0.284433 |
| fresh solution | 0.358306 |
| contact lens solution | 0.511684 |
| Willcox MD | 0.29331 |
| all-in-one care | 0.282176 |
| Ophthalmol Vis Sci. | 0.340902 |
| lens case contamination | 0.376917 |
| contact lens cases | 0.408266 |
|
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| 13530 |
Centers for Disease Control and Prevention |
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Contact Lens Wearer Demographics and Risk Behaviors forContact Lens-Related Eye Infections - United States, 2014 |
Jennifer R. Cope, MD1; Sarah A. Collier, MPH1; Maya M. |
| contact lens wearer | 0.330115 |
| lens wearers risk | 0.427939 |
| contact lens risk | 0.412036 |
| lens risk behaviors | 0.323532 |
| self-reported contact lens | 0.329518 |
| contact lens-associated disease | 0.253101 |
| lens hygiene behavior | 0.313573 |
| contact lens disinfection | 0.332183 |
| contact lenses | 0.505256 |
| contact lens case | 0.344419 |
| contact lens increases | 0.334459 |
| rigid contact lenses | 0.286458 |
| overnight contact lens | 0.340617 |
| poor contact lens | 0.348795 |
| lens hygiene-related risk | 0.417391 |
| usual contact lens | 0.344805 |
| frequent contact lens | 0.359204 |
| rigid wearers | 0.28839 |
| frequently reported behavior | 0.246399 |
| contact lens-related complications | 0.260921 |
| contact lens hygiene | 0.373766 |
| daily disposable contact | 0.281947 |
| tap water | 0.269854 |
| Jennifer R. Cope | 0.259972 |
|
| Lens Risk Survey | 0.3846 |
| contact lens wearers | 0.940107 |
| disposable contact lens | 0.350673 |
| United States | 0.346342 |
| recommended lens | 0.296612 |
| non-contact lens wearers | 0.450522 |
| prevention efforts | 0.250146 |
| general contact lens-wearing | 0.253437 |
| soft contact lenses | 0.291254 |
| market research firm | 0.261738 |
| rigid contact lens | 0.340716 |
| contact lens wear | 0.404434 |
| hygiene-related risk behaviors | 0.327751 |
| lens hygiene risk | 0.332176 |
| painful eye | 0.2471 |
| contact lens replacement | 0.33259 |
| 2Contact Lens Assessment | 0.306471 |
| U.S. adults | 0.249218 |
| previous contact | 0.245742 |
| contact lens compliance | 0.328699 |
| contact lens-related behaviors | 0.264697 |
| contact lens cases | 0.334353 |
| eye infections | 0.340928 |
| contact lens-wearing panelists | 0.257969 |
|
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