| 5612 |
Centers for Disease Control and Prevention |
Html |
en |
Nicotine - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 8806 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Clinical Features - Info for Health Professionals |
Information for health professionals about Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| meningeal signs | 0.578271 |
| Public Health | 0.570572 |
| Acanthamoeba spp. | 0.564472 |
| death | 0.370535 |
| common early symptoms | 0.762546 |
| Autopsy findings | 0.563025 |
| clinical picture | 0.529829 |
| early stages | 0.531478 |
| symptom onset | 0.84723 |
| mental status | 0.528846 |
| taste | 0.345797 |
| granulomatous amebic encephalitis | 0.819455 |
| smell | 0.353074 |
| Information | 0.343535 |
| Later symptoms | 0.544758 |
| treatment recommendations | 0.570712 |
| shipping instructions | 0.576063 |
| CDC Emergency Operations | 0.814016 |
| Medical Professionals | 0.570173 |
| Clinicians | 0.355506 |
| contact | 0.344203 |
| bacterial meningitis | 0.562343 |
| seizures | 0.356665 |
|
| olfactory bulbs | 0.561435 |
| specimen collection guidance | 0.830256 |
| headaches | 0.350356 |
| Center | 0.344095 |
| hemorrhagic necrosis | 0.569144 |
| free-living amebae | 0.559407 |
| GAE | 0.363857 |
| nasal discharge | 0.590849 |
| coma | 0.355308 |
| nausea | 0.364322 |
| nasal obstruction | 0.60857 |
| cerebral cortex | 0.549583 |
| exposure | 0.343219 |
| cranial nerve abnormalities | 0.830978 |
| neck stiffness | 0.574606 |
| Balamuthia | 0.37587 |
| contrast | 0.348973 |
| focal neurologic deficits | 0.914323 |
| detailed guidance | 0.582492 |
| diagnostic assistance | 0.577002 |
| lethargy | 0.375232 |
| 24/7 | 0.344483 |
|
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| 9586 |
Centers for Disease Control and Prevention |
Html |
en |
Progress in Increasing Electronic Reporting of LaboratoryResults to Public Health Agencies - United States, 2013 |
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. |
| CDC | 0.225248 |
| surveillance information systems | 0.204344 |
| ELR delivery | 0.295773 |
| large local health | 0.296468 |
| infectious diseases | 0.229188 |
| ELR | 0.638765 |
| territorial health departments | 0.207815 |
| ELR progress | 0.318639 |
| ELR repository | 0.292068 |
| laboratory information management | 0.233383 |
| public health departments | 0.280199 |
| total laboratory reports | 0.287043 |
| large commercial laboratories | 0.269486 |
| laboratory results | 0.275176 |
| public health surveillance | 0.260449 |
| hospital laboratories | 0.24345 |
| Zoonotic Infectious Diseases | 0.210351 |
| ELR changes | 0.304588 |
| ELR transmissions | 0.33583 |
| Territorial Epidemiologists ELR | 0.327631 |
| clinical laboratories | 0.23591 |
| laboratory reports | 0.569947 |
| ELR capability | 0.294058 |
| public health laboratories | 0.469874 |
|
| effective ELR implementation | 0.333409 |
| public health agencies | 0.755926 |
| smaller regional laboratories | 0.203972 |
| United States | 0.252413 |
| ELR efforts | 0.298878 |
| Services Electronic Health | 0.203954 |
| meaningful use–compliant ELR | 0.335344 |
| health departments | 0.449127 |
| ELR implementation | 0.601196 |
| local health departments | 0.294374 |
| public health | 0.947615 |
| Public Health Scientific | 0.21674 |
| reportable laboratory results | 0.251732 |
| local public health | 0.278825 |
| American Hospital Association | 0.213128 |
| standards-based ELR implementation | 0.335329 |
| disease surveillance information | 0.255084 |
| ELR technical assistance | 0.326074 |
| large laboratories | 0.234019 |
| C. Jason Hall | 0.200622 |
| total reporting laboratories | 0.239672 |
| ELR laboratory reports | 0.419649 |
| electronic laboratory | 0.207811 |
| electronic reportable laboratory | 0.213456 |
|
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| 10075 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Program Portfolio : Immune, Dermal and Infectious Diseases : Program Description |
The mission of the NIOSH research program for Immune, Dermal & Infectious Diseases is to eliminate occupational injuries, illnesses, and fatalities among workers in these industries through a focused program of research and prevention. Primary efforts are focused on hazard identification since when potential hazards are recognized, work-related dermal and immune diseases can often be prevented or their effects minimized. |
| dermal diseases | 0.460508 |
| list Skip | 0.705785 |
| Infectious Disease Prevention | 0.591708 |
| trade associations | 0.324699 |
|
| Immune | 0.2227 |
| page options Skip | 0.906266 |
| professional organizations | 0.323529 |
| navigation Skip | 0.721193 |
|
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| 10633 |
Centers for Disease Control and Prevention |
Html |
en |
Younger teens still account for 1 in 4 teen births | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| non-Hispanic black teens | 0.5771 |
| teen births | 0.308377 |
| teen childbearing | 0.247558 |
| Vital Signs | 0.544267 |
| Mortality Weekly Report | 0.23818 |
| risky sexual behaviors | 0.229578 |
| age group | 0.257754 |
| Asian/Pacific Islander teens | 0.538778 |
| formal sex education | 0.241074 |
| teens | 0.902447 |
| Indian/Alaska Native teens | 0.791132 |
| high school education | 0.222966 |
| sexually active teens | 0.73359 |
| CDC journal Morbidity | 0.279939 |
| health care-associated infections | 0.228324 |
| birth rate | 0.253578 |
| prescription drug overdose | 0.223634 |
|
| key health indicators | 0.230007 |
| motor vehicle passenger | 0.218925 |
| teen pregnancy | 0.948399 |
| younger teens | 0.851984 |
| Vital Signs report | 0.444214 |
| teen pregnancy rates | 0.344208 |
| CDC Director Tom | 0.330094 |
| teen pregnancy visit | 0.314771 |
| older teens | 0.374281 |
| non-Hispanic white teens | 0.576743 |
| National Vital Statistics | 0.273681 |
| previous CDC reports | 0.286217 |
| teen pregnancy prevention | 0.509721 |
| Hispanic teens | 0.419094 |
| health behavior data | 0.262272 |
| high school diploma | 0.21668 |
| American Indian/Alaska Native | 0.514756 |
|
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| 11048 |
Centers for Disease Control and Prevention |
Html |
en |
Botulism Associated with Home-Fermented Tofu in Two Chinese Immigrants — New York City, March–April 2012 |
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. |
| Similar fermentation practices | 0.46348 |
| cranial nerve deficits | 0.512793 |
| stool specimens | 0.511785 |
| toxin production | 0.468331 |
| foodborne botulism | 0.725444 |
| New York City | 0.56128 |
| bulk tofu | 0.774921 |
| tofu manufacturing facility | 0.58481 |
| toxin formation | 0.470496 |
| foodborne botulism cases | 0.558035 |
| Clostridium botulinum spores | 0.474604 |
| Public health responders | 0.508236 |
| botulinum toxin | 0.675248 |
| bacterium Clostridium botulinum | 0.471628 |
| Alaska Native foods | 0.50144 |
| York City borough | 0.462248 |
| traditional fermented Alaska | 0.526492 |
| botulinum antitoxin | 0.477178 |
| fermented tofu | 0.657528 |
| cranial nerve palsies | 0.609086 |
| C. botulinum spores | 0.47367 |
| public health response | 0.460175 |
| deep tendon reflexes | 0.622459 |
| leftover tofu | 0.56037 |
| extremity deep tendon | 0.462163 |
|
| room temperature | 0.477002 |
| probable case | 0.490807 |
| Clostridium botulinum | 0.4762 |
| United States | 0.624666 |
| myasthenia gravis | 0.485719 |
| fermented Alaska Native | 0.526485 |
| fresh tofu | 0.64417 |
| Public Health Investigation | 0.463739 |
| upper extremity weakness | 0.509821 |
| similar recipes | 0.460087 |
| bilateral cranial nerve | 0.680866 |
| edrophonium chloride test | 0.506631 |
| Chinese grocery | 0.474049 |
| water-filled bins | 0.463298 |
| home-fermented tofu | 0.910591 |
| public health | 0.556703 |
| botulinum spores | 0.476487 |
| botulinum toxin type | 0.625368 |
| oculomotor palsy | 0.462139 |
| unfermented tofu | 0.576391 |
| Electromyography studies | 0.464381 |
| York City Department | 0.464434 |
| fresh bulk tofu | 0.630174 |
| respiratory failure | 0.486882 |
|
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| 12212 |
Centers for Disease Control and Prevention |
Html |
en |
Challenges in Responding to the Ebola Epidemic - Four RuralCounties, Liberia, August-November 2014 |
On December 16, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Sinoe health officials | 0.419488 |
| health education | 0.402233 |
| case investigation | 0.528645 |
| transportation network strategies | 0.453759 |
| Grand Bassa health | 0.468309 |
| Joel M. Montgomery | 0.38767 |
| rural counties | 0.418206 |
| district health teams | 0.403893 |
| health officials | 0.591807 |
| county health officials | 0.544274 |
| MMWR Early Release | 0.391397 |
| Social Welfare | 0.430651 |
| safe burials | 0.426224 |
| health care providers | 0.413351 |
| possible Ebola patient | 0.457266 |
| personal protective equipment | 0.452243 |
| Global Health | 0.403886 |
| Grand Bassa | 0.8279 |
| contact tracing | 0.574519 |
| Tolbert G. Nyenswah | 0.468748 |
| safe burial practices | 0.460211 |
| communication networks | 0.385624 |
| health care facilities | 0.413294 |
| Ebola patients | 0.451106 |
| counties | 0.49788 |
|
| Ebola | 0.607768 |
| Ebola response plans | 0.516169 |
| Ebola virus disease | 0.475485 |
| Ebola epidemic | 0.410367 |
| limited access | 0.385904 |
| Ebola response strategies | 0.54057 |
| possible Ebola | 0.462505 |
| Grand Cape Mount | 0.90823 |
| Cape Mount officials | 0.390041 |
| Ebola cases | 0.41892 |
| laboratory test results | 0.436634 |
| county Ebola response | 0.484338 |
| Mount health officials | 0.419588 |
| core Ebola response | 0.468841 |
| adequate training | 0.471388 |
| health care workers | 0.473654 |
| remote areas | 0.493227 |
| Global Health Protection | 0.398858 |
| county health teams | 0.686681 |
| poor road conditions | 0.429839 |
| Ebola specimens | 0.420595 |
| Jordan W. Tappero | 0.389786 |
| Ebola treatment units | 0.574337 |
| Aimee Summers | 0.391002 |
|
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| 12797 |
Centers for Disease Control and Prevention |
Html |
en |
What Is a Concussion? | HEADS UP | CDC Injury Center |
null |
| Medical providers | 0.691101 |
| traumatic brain injury—or | 0.911251 |
| type | 0.463074 |
| body | 0.461572 |
| sudden movement | 0.745908 |
| head | 0.505701 |
| chemical changes | 0.703082 |
| brain cells | 0.66952 |
|
| hit | 0.487924 |
| bump | 0.519409 |
| concussion | 0.799542 |
| skull | 0.490371 |
| jolt | 0.520119 |
| blow | 0.501105 |
| twist | 0.486888 |
|
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| 13332 |
Centers for Disease Control and Prevention |
Html |
en |
Hepatitis B Screening and Prevalence Among ResettledRefugees - United States, 2006-2011 |
Kevin C. Scott, MD1; Eboni M. Taylor, PhD2; Blain Mamo, MPH3; Nathaniel D. |
| active infection | 0.322239 |
| refugees | 0.737163 |
| data | 0.325648 |
| disease prevalence | 0.285297 |
| Minnesota Department | 0.331383 |
| active HBV infection | 0.469755 |
| refugee children | 0.296314 |
| refugee medical exam | 0.307134 |
| refugee populations | 0.389494 |
| health care providers | 0.28221 |
| past infection | 0.462153 |
| surveillance data | 0.313706 |
| refugee groups | 0.353677 |
| Kevin C. Scott | 0.342416 |
| routine childhood hepatitis | 0.281641 |
| chronic HBV infection | 0.573011 |
| hepatitis B surface | 0.295527 |
| HBV infection status | 0.481733 |
| acute infection | 0.314743 |
| chronic infection | 0.382266 |
| smaller refugee groups | 0.313857 |
| Thomas Jefferson University | 0.388305 |
| United States | 0.498898 |
| HBV antibody | 0.378874 |
|
| state refugee health | 0.334374 |
| aggregate de-identified data | 0.285895 |
| Jefferson University | 0.393358 |
| single refugee group | 0.315123 |
| chart review data | 0.287359 |
| Iraqi refugees | 0.491592 |
| Burmese refugees | 0.422361 |
| HBV exposure | 0.36198 |
| Yale-New Haven Hospital | 0.340488 |
| incorporated surveillance data | 0.285051 |
| past HBV infection | 0.637398 |
| current infection | 0.359422 |
| current HBV status | 0.412103 |
| largest refugee groups | 0.320614 |
| HBV prevalence rates | 0.477641 |
| past infection rates | 0.359906 |
| male refugees | 0.41795 |
| chronic infection benefit | 0.375202 |
| hepatitis | 0.312474 |
| HBV status | 0.418343 |
| female refugees | 0.372016 |
| chronic hepatitis | 0.294482 |
| different refugee groups | 0.313218 |
| HBV infection | 0.917528 |
|
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| 15282 |
Centers for Disease Control and Prevention |
Html |
en |
Interim Guidance on Case Definitions for Investigations of Human Infection with Highly Pathogenic Avian Influenza A H5 Viruses in the United States |
Interim Guidance on Case Definitions for Investigations of Human Infection with Highly Pathogenic Avian Influenza A H5 Viruses in the United States - CDC |
| HPAI A/H5 virus | 0.455871 |
| avian influenza | 0.567861 |
| influenza A. Specimens | 0.461518 |
| possible human infections | 0.384526 |
| positive RIDT test | 0.37403 |
| exposure criteria | 0.423102 |
| negative RIDT result | 0.368066 |
| domestic poultry | 0.343536 |
| confirmatory testing | 0.38091 |
| epidemiologic information support | 0.368196 |
| direct contact | 0.363431 |
| pathogenic avian influenza | 0.487825 |
| probable cases | 0.423846 |
| severe human illness | 0.401531 |
| HPAI A H5 | 0.490023 |
| influenza A virus | 0.45473 |
| case definitions | 0.350154 |
| seasonal influenza | 0.413562 |
| A/H5 virus infection | 0.435005 |
| commercially available ridts | 0.419969 |
| Confirmed Case definition | 0.4206 |
| H5 virus infection | 0.896505 |
| influenza real-time reverse | 0.460232 |
| influenza RT-PCR test | 0.472451 |
| public health laboratories | 0.373364 |
|
| illness onset | 0.391417 |
| HPAI A/H5 viruses | 0.453219 |
| Presumptive positive identification | 0.381982 |
| close physical contact | 0.371143 |
| influenza diagnostic test | 0.464778 |
| HPAI H5 virus | 0.988034 |
| Human Influenza Virus | 0.513812 |
| Asian-origin HPAI A/H5 | 0.39371 |
| United States | 0.423069 |
| influenza-like illness | 0.352662 |
| HPAI H5N1 virus | 0.451939 |
| laboratory test results | 0.440781 |
| wild birds | 0.347511 |
| Probable Case | 0.357735 |
| Influenza Division Laboratory | 0.46777 |
| influenza virus infection | 0.514375 |
| animal influenza | 0.414223 |
| local health departments | 0.380784 |
| polymerase chain reaction | 0.373715 |
| Unprotected exposure | 0.343118 |
| recent close contact | 0.372284 |
| HPAI H5 viruses | 0.511892 |
| presumptive positive cases | 0.448838 |
| Real-Time RT-PCR Diagnostic | 0.381607 |
|
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