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Centers for Disease Control and Prevention |
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Hydrazine - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6603 |
Centers for Disease Control and Prevention |
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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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| 7744 |
Centers for Disease Control and Prevention |
Html |
en |
Bartonella |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
|
| Carrión’s disease | 0.762886 |
| B. quintana | 0.703318 |
| B. bacilliformis | 0.564359 |
| diseases | 0.351633 |
|
| Bartonella bacteria | 0.955946 |
| cat scratch disease | 0.966092 |
| trench fever | 0.80794 |
| humans | 0.424392 |
|
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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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| 9944 |
Centers for Disease Control and Prevention |
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Tribes and Indian Organizations - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| CDC/Indian Health Service | 0.59623 |
| critical element | 0.444604 |
| federally recognized tribes | 0.825638 |
| disease conditions | 0.452409 |
| Interior | 0.351312 |
| public health authorities | 0.587702 |
| health services research | 0.598728 |
| CDC/ATSDR Tribal Consultation | 0.584389 |
| health disparities | 0.468804 |
| core component | 0.43998 |
| disease control | 0.451311 |
| Federally Recognized Indian | 0.85133 |
| tribal lands | 0.474414 |
| rural Indian organizations. | 0.607236 |
| federally recognized tribe | 0.825485 |
| epidemiological analysis | 0.471086 |
| recent Notice | 0.459151 |
| surveillance data | 0.452134 |
| prevention programs | 0.446512 |
| Native-serving organizations | 0.461319 |
| Native American Research | 0.590557 |
| faculty development | 0.442633 |
| AI/AN communities | 0.541393 |
| American Indians | 0.451459 |
|
| official listing | 0.471763 |
| lists contact information | 0.582042 |
| United States | 0.451176 |
| Secretary | 0.363113 |
| indian tribes | 0.691238 |
| disease outbreaks | 0.455017 |
| AI/AN tribes | 0.54004 |
| Federal Register | 0.619017 |
| NARCH | 0.38393 |
| research training | 0.456722 |
| Tribal Epidemiology Centers | 0.601937 |
| epidemiological studies | 0.470149 |
| Tribal Leaders Directory | 0.609498 |
| Tribal List Act | 0.650783 |
| Alaska Natives | 0.457336 |
| developmental process | 0.43629 |
| Pamunkey Indian Tribe | 0.997837 |
| tribally based organizations | 0.621119 |
| research infrastructure | 0.448511 |
| urban Indian organizations | 0.627117 |
| Alaska Native tribe | 0.665228 |
| American Indian/Alaska Native | 0.603916 |
| national organizations | 0.455086 |
| tribal organizations | 0.484141 |
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Centers for Disease Control and Prevention |
Html |
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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 |
Html |
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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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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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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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Centers for Disease Control and Prevention |
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VitalSigns Opioid Painkiller Prescribing |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| mental health | 0.476174 |
| state-run health plans | 0.54265 |
| prescription painkiller | 0.831521 |
| opioid painkiller prescriptions | 0.678447 |
| prescription drugs | 0.653894 |
| pain treatment | 0.688025 |
| overdose deaths | 0.498888 |
| health care providers | 0.989625 |
| prescription painkillers* | 0.597072 |
| patient safety | 0.471724 |
| American adult | 0.483239 |
| compensation programs | 0.474156 |
| different parts | 0.473642 |
| patients | 0.505798 |
| prescribe large quantities | 0.541866 |
| Affordable Care Act | 0.529142 |
| pill mills | 0.472235 |
| prescription drug monitoring | 0.870615 |
| policy options | 0.535243 |
| particular promise | 0.474984 |
| person | 0.477787 |
| substance abuse treatment | 0.637436 |
| care providers practice | 0.552172 |
| state level | 0.473129 |
| specific type | 0.473988 |
|
| Vital Signs | 0.583562 |
| inappropriate prescribing | 0.47018 |
| highest-prescribing state | 0.480869 |
| Drug Administration | 0.469526 |
| substance abuse problems | 0.627645 |
| Health issues | 0.488609 |
| West Virginia | 0.474704 |
| effective pain treatment | 0.662247 |
| state-run databases | 0.557705 |
| multiple prescribers | 0.505823 |
| substance abuse | 0.658429 |
| prescription painkiller overdose | 0.72059 |
| Prescription Painkiller Overdoses | 0.742599 |
| high-dose painkillers | 0.589085 |
| pain treatment options | 0.538618 |
| responder access | 0.469607 |
| people | 0.477059 |
| Southern states | 0.473248 |
| prescription painkillers | 0.875826 |
| drug monitoring programs | 0.774749 |
| New Hampshire | 0.474434 |
| Drugs Information | 0.470657 |
| lowest prescribing state | 0.549529 |
| high-volume pain clinics | 0.545217 |
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