| 4625 |
Centers for Disease Control and Prevention |
Html |
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Carbon Monoxide Exposure Prevention Guidelines |
Carbon Monoxide Poisoning Home |
| basement | 0.441338 |
| door | 0.474503 |
| coal burning appliances | 0.774833 |
| vent | 0.440906 |
| water heater | 0.613354 |
| charcoal grill | 0.598487 |
| pressure washer | 0.589354 |
| gasoline-powered engine | 0.600104 |
| generator | 0.464771 |
| battery | 0.478871 |
| house | 0.462983 |
| fireplace | 0.441657 |
| navigation Skip | 0.732962 |
| spring | 0.434353 |
| oil | 0.435429 |
| poisoning | 0.441309 |
|
| fall | 0.433801 |
| medical attention | 0.595883 |
| heating | 0.434819 |
| charcoal-burning device | 0.582305 |
| list Skip | 0.733636 |
| page options Skip | 0.90843 |
| garage | 0.482983 |
| camp stove | 0.614569 |
| technician | 0.443252 |
| check | 0.434598 |
| home | 0.507205 |
| clocks | 0.438491 |
| back-up CO detector | 0.628688 |
| window | 0.464083 |
| time | 0.434441 |
|
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| 6603 |
Centers for Disease Control and Prevention |
Html |
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Prevalence and risk of homelessness among US veterans. |
Understanding the prevalence of and risk for homelessness among veterans is prerequisite to preventing and ending homelessness among this population. Homeless veterans are at higher risk for chronic disease; understanding the dynamics of homelessness among veterans can contribute to our understanding of their health needs. |
| additional homeless people | 0.411016 |
| data | 0.516153 |
| homeless assessment report | 0.440857 |
| homeless people | 0.434811 |
| homeless status | 0.416076 |
| Veterans Affairs records | 0.426861 |
| black male veterans | 0.411157 |
| homeless services | 0.417295 |
| HMIS data | 0.503831 |
| Homelessness Among Veterans | 0.473099 |
| homeless veterans | 0.563221 |
| risk ratios | 0.51341 |
| homeless populations | 0.438997 |
| poverty populations | 0.409185 |
| poverty | 0.541436 |
| service-using homeless population | 0.444353 |
| End Homelessness | 0.412655 |
| black female veterans | 0.410051 |
| male veterans | 0.477297 |
| highest risk | 0.415325 |
| CoC | 0.408096 |
| black race | 0.424472 |
| Homelessness status | 0.445474 |
| homelessness services | 0.555039 |
| federal poverty threshold | 0.492806 |
|
| women | 0.42905 |
| veterans | 0.803558 |
| study | 0.407969 |
| Urban Development | 0.415526 |
| United States | 0.45043 |
| age group | 0.486551 |
| National Center | 0.406514 |
| 54-year-old age group | 0.485448 |
| general population | 0.531321 |
| Annual Homelessness Assessment | 0.436098 |
| poverty population | 0.505363 |
| female veterans | 0.43495 |
| American Community Survey | 0.543893 |
| New York | 0.492006 |
| homelessness series | 0.412789 |
| veteran status | 0.957401 |
| Homeless Management Information | 0.51699 |
| ACS | 0.443507 |
| annual homeless assessment | 0.440861 |
| Veterans Affairs | 0.498674 |
| homeless population | 0.713158 |
| veteran homelessness | 0.4435 |
| risk | 0.54657 |
| ACS data | 0.421639 |
|
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| 7971 |
Centers for Disease Control and Prevention |
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en |
Science Clips - Monday, January 07, 2013 |
null |
| STD Prevention | 0.408525 |
| request | 0.26392 |
| Direct final rule | 0.935635 |
| Real World | 0.394484 |
| comments | 0.263772 |
| preventive health care | 0.642752 |
| sexual health disparities | 0.655063 |
| impact | 0.231867 |
| communicable diseases | 0.680757 |
| young men | 0.432273 |
| Coverage | 0.232218 |
| Journal | 0.232129 |
|
| services | 0.238658 |
| new opportunities | 0.422633 |
| diagnoses | 0.253031 |
| sexually transmitted disease | 0.639297 |
| visits | 0.241672 |
| assessment | 0.231106 |
| Control | 0.26587 |
| sexually transmitted infections | 0.762824 |
| HIV | 0.25001 |
| scope | 0.314901 |
| context | 0.305833 |
|
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| 7992 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0088 |
Volumen 10 — el 10 de enero de 2013. |
| Enfoques Alimentarios | 0.956592 |
| Dietary Approaches | 0.61862 |
| Leng I | 0.622559 |
| mm hg | 0.591024 |
| Foy CG | 0.63017 |
| Hunter JC | 0.590463 |
| largo plazo | 0.52644 |
|
| Quandt SA | 0.629556 |
| Vitolins MZ | 0.625988 |
| Whitt-Glover MC | 0.593949 |
| pequeña muestra | 0.518417 |
| estudio piloto | 0.812556 |
| bajos recursos | 0.813051 |
| Stop Hypertension | 0.625834 |
|
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Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Table L6 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) Education and State or Territory |
BRFSS 2008 - Table L6 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) Education and State or Territor |
| CT Coll Grad | 0.278653 |
| MD Coll Grad | 0.271359 |
| MO Coll Grad | 0.267314 |
| AL HS Grad | 0.26414 |
| AR HS Grad | 0.261692 |
| SD Coll Grad | 0.258348 |
| NM Coll Grad | 0.264137 |
| TX Coll Grad | 0.257836 |
| NE Coll Grad | 0.266494 |
| MS Coll Grad | 0.268973 |
| DC HS Grad | 0.259761 |
| HI Coll Grad | 0.276113 |
| Total** HS Grad | 0.264702 |
| HS Grad | 0.87753 |
| CA HS Grad | 0.261944 |
| HS Nongrad | 0.886347 |
| AK Coll Grad | 0.282362 |
| Total** Coll Grad | 0.284119 |
| FL Coll Grad | 0.277994 |
| CT HS Grad | 0.25968 |
| PA Coll Grad | 0.260736 |
| AR Coll Grad | 0.28086 |
| DC Coll Grad | 0.278602 |
| IA Coll Grad | 0.273674 |
| NY Coll Grad | 0.264244 |
|
| AL Coll Grad | 0.283503 |
| KY Coll Grad | 0.272232 |
| SC Coll Grad | 0.258566 |
| MT Coll Grad | 0.266591 |
| LA Coll Grad | 0.272557 |
| MI Coll Grad | 0.269071 |
| ID Coll Grad | 0.275 |
| NC Coll Grad | 0.262438 |
| NV Coll Grad | 0.265702 |
| AZ Coll Grad | 0.281215 |
| NJ Coll Grad | 0.264224 |
| CA Coll Grad | 0.281045 |
| FL HS Grad | 0.259217 |
| GA Coll Grad | 0.276118 |
| IL Coll Grad | 0.274305 |
| Coll Grad | 0.933607 |
| AZ HS Grad | 0.261982 |
| NH Coll Grad | 0.265168 |
| OK Coll Grad | 0.261039 |
| MN Coll Grad | 0.268568 |
| RI Coll Grad | 0.259533 |
| AK HS Grad | 0.263064 |
| ND Coll Grad | 0.262412 |
| KS Coll Grad | 0.272969 |
|
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| 11519 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | DBD Bulletin Fall 2011 | Meetings and Epi-AIDs | CDC |
Division of Bacterial Diseases Bulletin Fall |
| pneumococcal conjugate vaccines | 0.505724 |
| infant pertussis | 0.345698 |
| Respiratory Infections | 0.343875 |
| vaccine schedules | 0.363197 |
| Smart Program | 0.301048 |
| Laboratory diagnostics | 0.302447 |
| Invasive group | 0.317077 |
| Respiratory Surveillance sites | 0.406749 |
| Severe Pertussis | 0.365133 |
| streptococcal disease | 0.366108 |
| Infectious Diseases Society | 0.36329 |
| pneumococcal conjugate vaccine | 0.507283 |
| Southern Africa meeting | 0.38999 |
| historical reasons | 0.303972 |
| 49th Annual Meeting | 0.377416 |
| Asian countries | 0.306518 |
| Chris Van Beneden | 0.980895 |
| meningococcal disease | 0.346227 |
| acute care hospital | 0.353494 |
| invasive pneumococcal infections | 0.460966 |
| streptococcal infections | 0.33724 |
| South Africa | 0.366314 |
| Infectious Disease Societies | 0.410856 |
| Vaccines Surveillance Meeting | 0.406154 |
| Faso meningitis surveillance | 0.384173 |
|
| United States | 0.399195 |
| invasive disease | 0.356681 |
| invasive pneumococcal disease | 0.440958 |
| International Emerging Infections | 0.403921 |
| U.S. overview | 0.367621 |
| Legionellosis outbreak | 0.30905 |
| disease outbreak | 0.401314 |
| Hib disease | 0.362802 |
| Tom Clark | 0.380256 |
| streptococcal strain | 0.324113 |
| DBD/RDB | 0.351229 |
| Meningococcal conjugate vaccine | 0.498257 |
| Antimicrobial Agents | 0.299476 |
| National Pertussis Workshop | 0.452298 |
| Bob Pinner | 0.3033 |
| conjugate vaccine | 0.529271 |
| term care facility | 0.363725 |
| XVIII Lancefield International | 0.394725 |
| International Symposium | 0.395393 |
| California pertussis vaccine | 0.484464 |
| Vaccine efficacy | 0.36319 |
| Fabiana Pimenta | 0.429026 |
| Hubei Province | 0.306002 |
| universal vaccine introduction | 0.465866 |
|
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Centers for Disease Control and Prevention |
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C. difficile information for clinicans | HAI | CDC |
null |
| careful antibiotic | 0.228096 |
| culture results | 0.224398 |
| patient transfers | 0.208701 |
| antimicrobial stewardship | 0.20438 |
| United States | 0.306997 |
| Hand sanitizer | 0.224196 |
| hospital stay | 0.2019 |
| spore-killing disinfectant | 0.218481 |
| Wear gloves | 0.215901 |
| patient discharge | 0.21474 |
| daily basis | 0.207754 |
| infectious disease death | 0.293575 |
| important cause | 0.205669 |
| Supplement cleaning | 0.209959 |
| unformed stools | 0.218579 |
| C. difficile | 0.940336 |
| C. difficile infection | 0.811024 |
|
| antibiotic resistance | 0.220115 |
| national priority | 0.200164 |
| Dr. Nimalie Stone | 0.446876 |
| short visits | 0.212092 |
| Poor prescribing practices | 0.288754 |
| C. difficile test | 0.710458 |
| hand washing | 0.21006 |
| testing methods | 0.201697 |
| patients | 0.243474 |
| C. difficile infections | 0.810275 |
| Clean room | 0.208197 |
| infection control recommendations | 0.293181 |
| initial diagnosis | 0.204186 |
| Isolate patients | 0.229797 |
| new facility | 0.206487 |
| Dr. Carolyn Gould | 0.288412 |
| antibiotics | 0.227412 |
|
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| 13419 |
Centers for Disease Control and Prevention |
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Community Knowledge, Attitudes, and Practices RegardingEbola Virus Disease - Five Counties, Liberia, September-October,2014 |
Miwako Kobayashi, MD1,2; Karlyn D. Beer, PhD1,3; Adam Bjork, PhD4; Kevin Chatham-Stephens, MD1,5; Cara C. Cherry, DVM1,6; Sampson Arzoaquoi, MD7; Wilmot Frank, MD8; Odell Kumeh, MD9; Joseph Sieka, MD10; Adolphus Yeiah, MD11; Julia E. |
| Ebola treatment unit | 0.658494 |
| Ebola treatment | 0.706453 |
| Ebola virus transmission | 0.553738 |
| Ebola symptoms | 0.661072 |
| Ebola survivors | 0.551669 |
| Ebola virus | 0.620556 |
| 8Sinoe County Health | 0.369505 |
| Ebola outbreak | 0.560479 |
| Gee County Health | 0.375275 |
| Ebola transmission-free status | 0.609827 |
| Ebola transmission | 0.746043 |
| Survey respondents | 0.401054 |
| survey areas | 0.386127 |
| local health messages | 0.370112 |
| field team | 0.42193 |
| Ebola knowledge questions | 0.570784 |
| current Ebola awareness | 0.545 |
| timely health messages | 0.375152 |
| initial Ebola messaging | 0.541127 |
| low cumulative incidence | 0.369664 |
| Ebola patients | 0.740025 |
| CDC Liberia Ebola | 0.591676 |
| counties | 0.441827 |
| county health office | 0.521325 |
|
| Ebola | 0.92633 |
| lower Ebola incidence | 0.593591 |
| 9Maryland County Health | 0.369487 |
| Ebola virus disease | 0.608813 |
| Ebola epidemic | 0.529736 |
| Ebola attitudes | 0.546714 |
| low-incidence counties | 0.394323 |
| median correct responses | 0.410108 |
| Sierra Leone | 0.379323 |
| Ebola cases | 0.770321 |
| Ebola health messages | 0.566221 |
| cultural practices | 0.388164 |
| Ebola incident cases | 0.588033 |
| high cumulative incidence | 0.372609 |
| health office staff | 0.369548 |
| Ebola awareness | 0.564109 |
| new Ebola cases | 0.6407 |
| Ebola knowledge | 0.584101 |
| River Gee | 0.43596 |
| Ebola practices | 0.551868 |
| 7Bong County Health | 0.369523 |
| Ebola KAP survey | 0.615832 |
| Ebola incidence | 0.62953 |
| Ebola treatment units | 0.678185 |
|
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Healthy Living | Thalassemia | Blood Disorders | NCBDDD | CDC |
null |
| Haemophilus influenzae type | 0.57495 |
| possible organ damage | 0.560414 |
| special vaccination schedule | 0.561442 |
| chelation therapy | 0.614983 |
| Pneumococcal vaccines | 0.507423 |
| healthy choices | 0.604736 |
| nutritious meals | 0.493895 |
| healthy lifestyle | 0.765185 |
| family members | 0.477363 |
| iron overload | 0.496356 |
| thalassemia | 0.911029 |
| blood transfusions | 0.596992 |
| certain infections | 0.486121 |
| essential nutrients | 0.483015 |
| treatable disorder | 0.499741 |
| special instructions | 0.485284 |
| Pay special attention | 0.551836 |
| severe anemia | 0.489727 |
| daily life | 0.47687 |
| nutritious foods | 0.489698 |
| sexually transmitted diseases | 0.547011 |
| medical specialist | 0.490447 |
| positive relationships | 0.489037 |
| Romantic relationships | 0.479057 |
| thalassemia trait | 0.732012 |
|
| healthy decisions | 0.5042 |
| high risk | 0.485999 |
| vigorous forms | 0.483894 |
| romantic relationship | 0.478759 |
| great way | 0.490715 |
| orange juice | 0.482235 |
| better health outcomes | 0.54986 |
| following vaccines | 0.50174 |
| supportive relationships | 0.479749 |
| up-to-date vaccination schedules | 0.557311 |
| extra iron | 0.485417 |
| overall healthy lifestyle | 0.577679 |
| genetic counseling | 0.480589 |
| regular basis | 0.488804 |
| moderate physical activities | 0.547858 |
| chelation schedule | 0.503995 |
| flu vaccination. People | 0.566572 |
| transfusion center | 0.484935 |
| important thing | 0.493515 |
| medical care | 0.490625 |
| Meningococcal vaccines | 0.513222 |
| water aerobics | 0.481884 |
| gentle reminders | 0.477559 |
| low-impact activities | 0.482681 |
|
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Centers for Disease Control and Prevention |
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Skin Cancer Awareness | CDC Feature |
Skin cancer is the most common cancer in the United States. To lower your skin cancer risk, protect your skin from the sun and avoid indoor tanning. |
| skin cancer risk | 0.658146 |
| skin cancer | 0.942786 |
| UV rays | 0.773893 |
| Unprotected skin | 0.541821 |
| skin cancer prevention | 0.616362 |
| Indoor tanning exposes | 0.5834 |
| SPF | 0.424691 |
| Sun Proof | 0.503608 |
| fun outdoors | 0.502988 |
| Wear sunglasses | 0.507633 |
| common sign | 0.494785 |
| damage skin | 0.530851 |
| fact sheets list | 0.579839 |
| recreation staff | 0.494891 |
| midday | 0.427368 |
| Kidtastics talk | 0.495032 |
| shade | 0.424071 |
| mole | 0.41791 |
| different types | 0.519842 |
| sore | 0.421473 |
| clothing | 0.419464 |
| UVB rays | 0.695711 |
| broad spectrum | 0.504726 |
| UVA | 0.482252 |
| sunscreen | 0.436985 |
|
| United States | 0.519977 |
| wide brim | 0.517388 |
| anybody | 0.419241 |
| indicates damage | 0.507285 |
| head | 0.418708 |
| common cancer | 0.529092 |
| sun protection factor | 0.603548 |
| podcast | 0.433969 |
| higher risk | 0.497316 |
| cases | 0.420256 |
| harmful effects | 0.49822 |
| change | 0.449256 |
| hard way | 0.499247 |
| Plan | 0.417831 |
| easy ways | 0.495713 |
| McKenna | 0.419412 |
| ears | 0.42083 |
| Cover | 0.419478 |
| layered approach | 0.500233 |
| new growth | 0.498664 |
| sun exposure | 0.513641 |
| time | 0.434559 |
| sweating | 0.425548 |
| melanoma survivor Sharon | 0.597035 |
|
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