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Centers for Disease Control and Prevention |
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Ethion - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 7492 |
Centers for Disease Control and Prevention |
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Healthy Housing Reference Manual - Definitions |
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. |
| rooms | 0.693107 |
| cooking purposes | 0.690769 |
| main floor | 0.685448 |
| furnace rooms | 0.678654 |
| building | 0.72964 |
| Fair market value | 0.728413 |
| cooking facilities | 0.705862 |
| single dwelling unit | 0.902212 |
| vertical masonry shaft | 0.727472 |
| Ordinary winter conditions | 0.725193 |
| gas burning equipment | 0.721896 |
| nationally accepted industry | 0.727201 |
| legally designated health | 0.726917 |
| garbage disposal units | 0.729101 |
| institutional living | 0.68975 |
| single family | 0.679846 |
| Multiple dwelling | 0.810505 |
| lowest recorded temperature | 0.718587 |
| integrated pest management | 0.851329 |
| common living | 0.749858 |
| Ordinary summer conditions | 0.725604 |
| Rooming house | 0.708643 |
| Accessory building | 0.696794 |
| following supplied facilities | 0.723307 |
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| Habitable room | 0.686075 |
| dynamic interrelationship | 0.721498 |
| Download Adobe Acrobat | 0.740233 |
| self-contained heating appliance | 0.713361 |
| prior 10-year period | 0.823098 |
| corporate unit | 0.71525 |
| lowest story | 0.679362 |
| Appropriate authority/Authority | 0.683891 |
| cooking | 0.765029 |
| principal building | 0.695519 |
| floor space | 0.722933 |
| single habitable unit | 0.87113 |
| appropriate authority | 0.764152 |
| dwelling unit | 0.99137 |
| metal garbage | 0.678895 |
| appropriate code | 0.683759 |
| utility rooms | 0.680532 |
| unit heaters | 0.696769 |
| Temporary housing | 0.734871 |
| pest elimination methods | 0.727733 |
| combustible materials | 0.682322 |
| nonputrescible solid wastes | 0.718895 |
| chronic exposure levels | 0.712053 |
| dormitory rooms | 0.679556 |
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| 8612 |
Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, Marcella Bobzien |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| 1918 flu pandemic | 0.831942 |
| urban America | 0.420165 |
| brothers | 0.271262 |
| arrangement | 0.238189 |
| Carmen Garske Bobzien | 0.696732 |
| toddler | 0.244613 |
| community′s capacity | 0.403409 |
| Robert | 0.312156 |
| rural North Dakota | 0.960055 |
| sister′s children | 0.402576 |
| young children | 0.406766 |
| Leon | 0.238229 |
| Marilynn Sutherland | 0.479123 |
| saddened listening | 0.451394 |
| grandmother Carmen | 0.502497 |
| siblings Millie | 0.449186 |
| outskirts | 0.239438 |
| Marcella Bobzien | 0.512074 |
| adult | 0.236965 |
| Bismarck | 0.239291 |
| second-hand knowledge | 0.409664 |
| pandemic flu | 0.840436 |
| Stella Garske Bobzien | 0.604021 |
| Dolores | 0.248085 |
| close–knit farming community | 0.582038 |
|
| epidemic′s dependent survivors | 0.576819 |
| duration | 0.239408 |
| mother′s stories | 0.423821 |
| Storyteller | 0.244065 |
| orphanage | 0.23989 |
| Otto′s diary | 0.407305 |
| Jack | 0.237371 |
| Otto John Bobzien | 0.634523 |
| public health | 0.402595 |
| Bea | 0.247028 |
| sod farmhouse | 0.416584 |
| flu deaths | 0.542349 |
| maternal grandparents | 0.445172 |
| Carmen′s younger sister | 0.584438 |
| recollections | 0.243008 |
| Dick | 0.236716 |
| inevitable next flu | 0.545216 |
| Vernon | 0.34896 |
| Jim | 0.237393 |
| Ferd | 0.335858 |
| time | 0.237618 |
| family | 0.339136 |
| pandemics | 0.252807 |
| isolated farming families | 0.61478 |
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| 9687 |
Centers for Disease Control and Prevention |
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La biografía de Shane - La historia de Shane - Historias de la vida real - Consejos de exfumadores |
Shane habla con la ayuda de una laringe artificial, un dispositivo que presiona contra el cuello para poder hablar. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores. |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Smoking in Top-Grossing US Movies, 2011 - CDC |
We reviewed the number of incidents of tobacco use (almost exclusively smoking) depicted in movies in the United States in 2011 to compare that with previously reported trends. |
| tobacco appearances | 0.271862 |
| United States | 0.210493 |
| top-grossing movies | 0.727157 |
| policies | 0.23103 |
| Human Services | 0.205497 |
| smoking causes youth | 0.238583 |
| movies | 0.762188 |
| movie subsidy programs | 0.201236 |
| Tobacco Control Research | 0.28717 |
| companies | 0.212776 |
| long-term trends | 0.203021 |
| Motion Picture Association | 0.385641 |
| tobacco brands | 0.286119 |
| tobacco | 0.903074 |
| new youth-rated movies | 0.225765 |
| earlier report | 0.247121 |
| tobacco product | 0.456 |
| in-theater tobacco impressions | 0.287711 |
| figure | 0.232513 |
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| box office | 0.209869 |
| Historical data | 0.251909 |
| tabular version | 0.256941 |
| tobacco-free youth-rated movies | 0.234557 |
| Total tobacco incidents | 0.390767 |
| tobacco use incident | 0.271744 |
| R-rated movie | 0.225733 |
| fewer incidents | 0.200811 |
| tobacco depictions | 0.287536 |
| youth smoking | 0.21933 |
| onscreen tobacco imagery | 0.298575 |
| support youth-rated movies | 0.228047 |
| top-grossing US movie | 0.204643 |
| youth-rated movies | 0.566251 |
| tobacco incidents | 0.768655 |
| tobacco imagery | 0.433027 |
| onscreen smoking | 0.270858 |
| Sacramento-Emigrant Trails | 0.202166 |
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| 11616 |
Centers for Disease Control and Prevention |
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Flu Vaccination by Jet Injector |
Flu Vaccination by Jet Injector questions and answers - CDC |
| Clinical trial data | 0.396148 |
| springs | 0.221647 |
| injector flu vaccine | 0.755213 |
| injection-site adverse reactions | 0.412088 |
| skin | 0.221887 |
| Page | 0.219068 |
| immune protection | 0.306144 |
| FDA’s approval | 0.308522 |
| Thimerosal Flu Vaccines | 0.503322 |
| AFLURIA®and Afluria Quadrivalent® | 0.38521 |
| muscle pain | 0.300538 |
| Flu vaccination | 0.421281 |
| hypodermic needle | 0.338848 |
| influenza B viruses | 0.413178 |
| gas | 0.22166 |
| season | 0.240198 |
| 1960s | 0.220199 |
| jet injector | 0.928738 |
| medical device | 0.326164 |
| clinical study | 0.302807 |
| strain | 0.250601 |
| influenza vaccine | 0.550491 |
| multi-dose vials | 0.305081 |
|
| tenderness | 0.225681 |
| jet injector flu | 0.771339 |
| unease | 0.229496 |
| devices | 0.241329 |
| past | 0.220366 |
| diseases | 0.220302 |
| smallpox | 0.225876 |
| feeling | 0.219457 |
| jet injector method | 0.605715 |
| Stratis Needle-Free Injector | 0.551616 |
| systemic adverse events | 0.400363 |
| Yes. The formulations | 0.304539 |
| servicemen | 0.227373 |
| discomfort | 0.22354 |
| influenza B virus | 0.443625 |
| Jet injectors | 0.410133 |
| afluria quadrivalent® | 0.603905 |
| traditional flu shot | 0.47078 |
| narrow stream | 0.324531 |
| mass vaccination efforts | 0.451379 |
| information | 0.238318 |
| headache | 0.218985 |
| age | 0.233291 |
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Centers for Disease Control and Prevention |
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Update: Ebola Virus Disease Epidemic - West Africa, November2014 |
On November 18, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Port Loko | 0.521748 |
| Guinea Interministerial Committee | 0.545429 |
| Ebola cumulative incidence | 0.470316 |
| Human Services | 0.386776 |
| ebola virus | 0.51999 |
| alternate text | 0.497316 |
| Situational Awareness Team | 0.398363 |
| MMWR HTML versions | 0.389767 |
| U.S. Department | 0.386823 |
| MMWR Early Release | 0.417875 |
| northwest districts | 0.403671 |
| Social Welfare | 0.407572 |
| electronic PDF version | 0.390893 |
| Zoonotic Infectious Diseases | 0.411324 |
| situation reports | 0.359387 |
| National Center | 0.361943 |
| World Health Organization | 0.810842 |
| highest cumulative incidence | 0.410929 |
| up-to-date infection control | 0.393776 |
| CDC Guinea Response | 0.505796 |
| original paper copy | 0.38647 |
| new cases | 0.491985 |
| Ebola virus disease | 0.500007 |
| Ebola epidemic | 0.464068 |
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| Guinea | 0.547498 |
| original MMWR paper | 0.393572 |
| U.S. Government Printing | 0.391579 |
| Sierra Leone | 0.959231 |
| Ebola Epidemiology Team | 0.506159 |
| Special Pathogens Branch | 0.412343 |
| CDC Sierra Leone | 0.567035 |
| Ebola cases | 0.683979 |
| MMWR website | 0.365906 |
| Health Organization update | 0.494757 |
| Western Area | 0.397651 |
| Response Team | 0.44071 |
| case counts | 0.467026 |
| Liberia Ministry | 0.50083 |
| figure | 0.360022 |
| new Ebola cases | 0.577976 |
| Total case | 0.359553 |
| paper copy | 0.387769 |
| Public Health Preparedness | 0.407587 |
| ongoing epidemic | 0.360816 |
| Liberia | 0.631083 |
| latest World Health | 0.495582 |
| Sierra Leone Ministry | 0.593111 |
| CDC Liberia Response | 0.556773 |
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| 13522 |
Centers for Disease Control and Prevention |
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Germs & Infections | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| benefits | 0.222734 |
| treatment | 0.221868 |
| contact lens wearers | 0.940048 |
| eye problems | 0.306071 |
| bacteria | 0.221157 |
| clear dome | 0.314817 |
| eye infection | 0.299747 |
| type | 0.242138 |
| eyes | 0.241389 |
| tips | 0.220161 |
| glasses | 0.254034 |
| daily activities | 0.330831 |
| inflammation | 0.225767 |
| vital aspect | 0.330436 |
| supplies | 0.27051 |
| patient | 0.221897 |
| sight | 0.225832 |
| infections | 0.222745 |
| contact lenses | 0.873684 |
| proper care | 0.302552 |
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| higher risk | 0.308659 |
| germs | 0.226631 |
| viruses | 0.220914 |
| complications | 0.222584 |
| blindness | 0.222446 |
| eye surgery | 0.32165 |
| patients | 0.22235 |
| Worldwide | 0.22433 |
| corneal transplant | 0.30943 |
| people | 0.250812 |
| severe cases | 0.305582 |
| pair | 0.221688 |
| microbial keratitis | 0.480055 |
| eye | 0.334027 |
| eye doctor | 0.311816 |
| fungi | 0.220602 |
| permanent vision loss | 0.412181 |
| parasites | 0.222306 |
| practice healthy habits | 0.420185 |
| Contact lens wear | 0.439269 |
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Centers for Disease Control and Prevention |
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Cancer, the Flu, and You |
CDC answers important questions about special considerations for cancer patients and survivors and their caregivers for the flu. |
| influenza | 0.404456 |
| leukemia | 0.324087 |
| special considerations | 0.424611 |
| CDC | 0.356562 |
| death | 0.348695 |
| vaccines | 0.324344 |
| pneumococcal disease | 0.40376 |
| flu vaccine | 0.734505 |
| office | 0.321162 |
| body’s ability | 0.411165 |
| cancer increases | 0.434337 |
| pneumococcal shots | 0.402451 |
| caregivers | 0.323751 |
| Yes. People | 0.411705 |
| podcast | 0.321917 |
| good immune response | 0.513888 |
| health care providers | 0.629742 |
| important questions | 0.423591 |
| increased risk | 0.404551 |
| higher risk | 0.417574 |
| greater risk | 0.408242 |
| upcoming season | 0.40788 |
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| complications | 0.443943 |
| hospitalization | 0.365838 |
| reminder | 0.323006 |
| cancer patients | 0.594126 |
| lymphoma | 0.32476 |
| history | 0.322588 |
| seasonal flu | 0.868836 |
| people | 0.4352 |
| flu | 0.989943 |
| Flu Season | 0.577213 |
| flu shot | 0.764254 |
| seasonal flu shot | 0.709681 |
| Immune defenses | 0.42949 |
| survivors | 0.351848 |
| certain types | 0.419911 |
| high risk | 0.413625 |
| cancer | 0.680759 |
| risk | 0.49023 |
| older people | 0.415651 |
| information | 0.321366 |
| severe illness | 0.41363 |
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Centers for Disease Control and Prevention |
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Who Would Pay for State Alcohol Tax Increases in the UnitedStates? |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| capita alcohol consumption | 0.30075 |
| alcohol tax increase | 0.296011 |
| binge drinkers | 0.229577 |
| net cost | 0.29351 |
| binge drinking | 0.365435 |
| hypothetical tax increases | 0.333861 |
| tax increases | 0.788391 |
| alcohol prices | 0.237541 |
| hypothetical tax increase | 0.31302 |
| Alcohol Abuse | 0.225825 |
| higher alcohol taxes | 0.283553 |
| alcohol taxes | 0.45171 |
| alcohol | 0.791816 |
| aggregate costs | 0.290183 |
| adult excessive drinkers | 0.290387 |
| state alcohol tax | 0.464782 |
| BRFSS core alcohol | 0.230523 |
| heavy drinker | 0.254124 |
| daily average | 0.255015 |
| alcohol tax increases | 0.746898 |
| state alcohol taxes | 0.34449 |
| sociodemographic characteristics | 0.234235 |
| alcohol policy interventions | 0.233863 |
| capita costs | 0.345711 |
|
| State-specific tax increases | 0.249169 |
| United States | 0.387976 |
| drinks | 0.467223 |
| current alcohol taxes | 0.253209 |
| average annual increase | 0.230942 |
| non-Hispanic white drinkers | 0.274355 |
| alcohol consumption | 0.607549 |
| Average daily alcohol | 0.264005 |
| Alcohol Epidemiologic Data | 0.232708 |
| excessive drinkers | 0.841684 |
| Excessive alcohol consumption | 0.347454 |
| excessive drinking | 0.243269 |
| hypothetical state alcohol | 0.373777 |
| non-Hispanic whites | 0.284088 |
| public health | 0.250963 |
| nonexcessive drinkers | 0.909314 |
| costs | 0.35543 |
| Alcohol Policy Information | 0.282279 |
| value-based alcohol taxes | 0.253549 |
| annual alcohol consumption | 0.244944 |
| hypothetical alcohol tax | 0.299364 |
| evidence-based public health | 0.239268 |
| alcohol spectrum disorders | 0.239775 |
| current drinkers | 0.239986 |
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