| 1232 |
Centers for Disease Control and Prevention |
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en |
Smokers' Stories: Lost Teeth, a Tiny Baby | CDC Features |
Meet the real people in CDC's graphic new ads. They want to be your reason to quit smoking for good.
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| North Carolina | 0.534115 |
| bone structure | 0.546078 |
| long-term damage | 0.543785 |
| periodontal disease | 0.560749 |
| hospital incubator | 0.539102 |
| lung cancer | 0.531613 |
| new school | 0.53249 |
| teeth | 0.740924 |
| two-pack-a-day cigarette addiction | 0.647576 |
| dental problems | 0.540013 |
| personal stories | 0.548915 |
| blood vessels | 0.652894 |
| Tips campaign ads | 0.656764 |
| tooth loss | 0.549198 |
| severe cases | 0.546879 |
| false teeth | 0.605118 |
| throat cancers | 0.533472 |
| health problems | 0.763979 |
| Washington State | 0.536217 |
| real people | 0.685146 |
| hard-hitting commercials | 0.561419 |
| yellow teeth | 0.612255 |
| laryngeal implant | 0.539998 |
| right hand | 0.534653 |
| good dental habits | 0.649464 |
|
| United States | 0.562747 |
| Felicita | 0.582141 |
| smokers | 0.571413 |
| cigarette smoke | 0.682249 |
| clogged blood vessels | 0.647087 |
| infant death syndrome | 0.651074 |
| smoking | 0.836895 |
| birth defect | 0.539099 |
| free help | 0.561329 |
| close contact | 0.531505 |
| well-known cause | 0.542858 |
| Brett | 0.57048 |
| gum disease | 0.940549 |
| campaign share | 0.550822 |
| better your chances | 0.532768 |
| hard way | 0.549811 |
| tiny baby girl | 0.644344 |
| professional cleanings | 0.546825 |
| Smoking cigarettes | 0.657714 |
| following resources | 0.531813 |
| small Texas town | 0.653097 |
| chest x-ray | 0.531308 |
| new Tips participants | 0.668549 |
| age | 0.780092 |
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| 4751 |
Centers for Disease Control and Prevention |
Html |
en |
FluView: Situation Update, Summary of Weekly Report |
CDC Centers for Disease Control and Prevention Influenza Flu - Situation Update: Summary of Weekly FluView. |
| influenza | 0.936625 |
| Puerto Rico | 0.463943 |
| United States | 0.337849 |
| novel influenza | 0.485121 |
| key flu indicators | 0.348727 |
| region-specific baseline levels | 0.331783 |
| health care provider | 0.325045 |
| influenza A viruses | 0.637156 |
| best available way | 0.334692 |
| low ILI activity | 0.446817 |
| influenza-like illness | 0.420859 |
| influenza vaccine viruses | 0.72184 |
| South Carolina | 0.321965 |
| FluView report | 0.234212 |
| New York City | 0.323367 |
| Sporadic activity | 0.25515 |
| influenza-associated hospitalization data | 0.321957 |
| cell-grown reference viruses | 0.437039 |
| influenza B viruses | 0.733076 |
| CDC website | 0.22922 |
| national baseline | 0.224049 |
| U.S. Virgin Islands | 0.300522 |
| ILI activity level | 0.444597 |
| Influenza Hospitalization Surveillance | 0.626723 |
|
| moderate ILI activity | 0.448057 |
| Mortality Surveillance | 0.297911 |
| influenza A virus | 0.496524 |
| 2017-2018 influenza season | 0.620692 |
| New York | 0.324536 |
| Illness State Activity | 0.359712 |
| minimal ILI activity | 0.442932 |
| geographic spread | 0.315319 |
| Geographic spread data | 0.306695 |
| South Dakota | 0.320522 |
| influenza-positive tests | 0.308236 |
| frequently identified influenza | 0.588356 |
| Influenza-like Illness Surveillance | 0.326554 |
| Regional influenza activity | 0.675026 |
| clinical laboratories | 0.359462 |
| regional flu activity | 0.410775 |
| ILI activity | 0.568189 |
| local influenza activity | 0.89662 |
| influenza viruses | 0.7749 |
| injectable flu vaccine | 0.37678 |
| influenza-associated pediatric death | 0.292233 |
| public health laboratories | 0.43627 |
| ongoing human-to-human transmission | 0.287444 |
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| 5679 |
Centers for Disease Control and Prevention |
Html |
en |
Iodoform - 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 |
| 7996 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0067 |
Volumen 10 — el 10 de enero de 2013. |
| Rao C | 0.846629 |
| medianos recursos | 0.811467 |
| Marks G | 0.866659 |
| mujeres vietnamitas | 0.745338 |
|
| alta proporción | 0.704894 |
| Nhung NT | 0.866619 |
| Estados Unidos | 0.630583 |
| Hoa NP | 0.918553 |
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| 8564 |
Centers for Disease Control and Prevention |
Html |
en |
CDC PanFlu Storybook - In Memorial, Joel Anderson Smyer |
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. |
| influenza | 0.541251 |
| siblings | 0.548358 |
| wagon train | 0.723306 |
| Deming′s first death | 0.67468 |
| Smyer family | 0.69162 |
| mother | 0.580029 |
| pneumonia | 0.546515 |
| Joel Anderson Smyer | 0.838943 |
| children | 0.533717 |
| school | 0.533316 |
| Storyteller | 0.547681 |
| Carolyn O′Mara | 0.728631 |
| grandfather | 0.549273 |
| Pancho Villa | 0.719858 |
| hospital | 0.556781 |
| Smyers | 0.564219 |
|
| raids | 0.551621 |
| area | 0.533347 |
| Mary Smyer Wilder | 0.843513 |
| ore | 0.547447 |
| grandmother | 0.553127 |
| Spanish Flu | 0.683348 |
| Mogollon | 0.563845 |
| community | 0.53319 |
| ranch | 0.534541 |
| Silver City | 0.695193 |
| Deming newspaper | 0.747513 |
| New Mexico | 0.97557 |
| Geronimo | 0.55264 |
| ranches | 0.543717 |
| time | 0.533506 |
| Location | 0.537944 |
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CLICK HERE |
| 9201 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: Public Health Approaches to Reducing U.S.Infant Mortality |
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. |
| Child Health Bur | 0.562245 |
| preliminary data | 0.575155 |
| prenatal health care | 0.570617 |
| Human Services | 0.573165 |
| birthweight-specific neonatal mortality | 0.607048 |
| infant mortality | 0.955306 |
| non-Hispanic white infants | 0.587048 |
| U.S. Department | 0.573533 |
| New York City | 0.602335 |
| high-risk infants | 0.574212 |
| pregnant women | 0.573225 |
| Non-Hispanic black infants | 0.587096 |
| low birthweight infants | 0.588159 |
| neonatal period | 0.642562 |
| infant sleep position | 0.63048 |
| infants | 0.589331 |
| infant morbidity | 0.609018 |
| U.S. infant mortality | 0.722987 |
| shows infant mortality | 0.684509 |
| preterm births | 0.601538 |
| prenatal care | 0.581392 |
| live births | 0.611906 |
| infant mortality rates | 0.685013 |
| neonatal medical care | 0.573253 |
| infant mortality risks | 0.676674 |
|
| postneonatal infant deaths | 0.672418 |
| Infant Safe Sleep | 0.632611 |
| Child Health Programs | 0.569193 |
| United States | 0.806834 |
| neonatal intensive-care units | 0.619144 |
| Xu J. Deaths | 0.573921 |
| late preterm birth | 0.571719 |
| infant death syndrome | 0.642383 |
| unexpected infant death | 0.641528 |
| infant mortality rate | 0.701863 |
| neonatal deaths | 0.597133 |
| PRAMS data | 0.57713 |
| southern United States | 0.613219 |
| Health Resources | 0.577171 |
| U.S. IMR | 0.600176 |
| sleep-related infant deaths | 0.654548 |
| infant deaths | 0.809687 |
| health | 0.592563 |
| postneonatal period | 0.578814 |
| bed sharing | 0.566647 |
| preventable infant deaths | 0.770499 |
| child health | 0.590606 |
| maternal health conditions | 0.57445 |
| overall societal health | 0.572769 |
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| 9539 |
Centers for Disease Control and Prevention |
Html |
en |
QuickStats: Rate* of Emergency Department Visits for Alcohol-Related Diagnoses, by Sex - National Hospital Ambulatory Medical Care Survey, United States, 2001-2002 to 2009-2010 |
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. |
| mmwrq@cdc.gov. | 0.489686 |
| endorsement | 0.434218 |
| Alternate Text | 0.47743 |
| emergency department visits | 0.923556 |
| Human Services | 0.534536 |
| assistive technology | 0.492982 |
| 2-year annual average | 0.559124 |
| Clinical Modification | 0.481092 |
| MMWR HTML versions | 0.537171 |
| U.S. Department | 0.527213 |
| electronic PDF version | 0.532743 |
| e-mail | 0.43031 |
| any-listed diagnosis codes | 0.554495 |
| Contact GPO | 0.488497 |
| commercial sources | 0.477259 |
| males | 0.485986 |
| study period | 0.47844 |
| any-listed cause | 0.479802 |
| current prices | 0.474405 |
| International Classification | 0.484088 |
| original paper copy | 0.535788 |
| United States | 0.479946 |
| U.S. Government Printing | 0.541652 |
| original MMWR paper | 0.534708 |
|
| assistance | 0.415068 |
| title | 0.414954 |
| 2000-based postcensal | 0.485177 |
| U.S. Census Bureau | 0.554145 |
| MMWR readers | 0.478605 |
| character translation | 0.473717 |
| alcohol-related diagnoses | 0.658066 |
| file | 0.415141 |
| civilian population estimates | 0.580728 |
| Persons | 0.415186 |
| format errors | 0.473252 |
| subject line | 0.490886 |
| females | 0.468636 |
| Health | 0.422864 |
| typeset documents | 0.476601 |
| trade names | 0.477312 |
| official text | 0.472126 |
| non-CDC sites | 0.475733 |
| information | 0.41515 |
| motor vehicle crashes | 0.553828 |
| injury code | 0.484197 |
| Accommodation | 0.414963 |
| electronic conversions | 0.471694 |
| visit rate | 0.808992 |
|
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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 |
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| navigation Skip | 0.721193 |
|
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| 12297 |
Centers for Disease Control and Prevention |
Html |
en |
Non-Polio Enterovirus | Pregnancy and Non-Polio Enterovirus | CDC |
Pregnant women have a greater chance of being infected if they do not have immunity (protection) from previous exposures to non-polio enteroviruses. |
| non-polio enterovirus infection | 0.937135 |
| non-polio enteroviruses | 0.934737 |
| greater chance | 0.356753 |
| previous exposures | 0.372053 |
| immunity | 0.257005 |
| symptoms | 0.217328 |
| pregnancy increases | 0.335198 |
|
| pregnant women | 0.658754 |
| clear evidence | 0.341081 |
| pregnant woman | 0.488321 |
| severe complications | 0.362148 |
| mild illness | 0.679231 |
| congenital defects | 0.353997 |
| rare cases | 0.36761 |
|
CLICK HERE |