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Centers for Disease Control and Prevention |
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Measles: Make Sure Your Child is Fully Immunized |
Measles is a highly contagious disease. It can be serious for young children. Protect child by making sure he or she is up to date on vaccinations, including before traveling abroad. |
| red spots | 0.482578 |
| vaccinations | 0.439925 |
| runny nose | 0.488728 |
| Infants | 0.428411 |
| body | 0.416447 |
| 6-year-old children | 0.477755 |
| children | 0.592357 |
| young children | 0.564969 |
| measles quiz | 0.644573 |
| varicella vaccine | 0.527693 |
| vaccination record | 0.477528 |
| red eyes | 0.479627 |
| dose | 0.519842 |
| rubella vaccines | 0.501236 |
| mumps | 0.455954 |
| child | 0.591171 |
| Measles Vaccination | 0.645568 |
| doses | 0.462924 |
| death | 0.416319 |
| United States | 0.618912 |
| vaccines | 0.501916 |
| fever | 0.416472 |
| air | 0.415762 |
| head | 0.416466 |
| MMRV vaccine | 0.570805 |
|
| infected person coughs | 0.552859 |
| pneumonia | 0.417309 |
| measles vaccine | 0.78323 |
| combination vaccine | 0.525562 |
| eligible children | 0.471499 |
| mobile app | 0.478257 |
| health insurance plans | 0.52621 |
| unvaccinated people | 0.478932 |
| brain | 0.416326 |
| highly contagious disease | 0.566523 |
| people | 0.526008 |
| sneezes | 0.415746 |
| doctor | 0.484609 |
| rash | 0.418038 |
| health insurance provider | 0.522617 |
| healthcare provider | 0.473709 |
| chickenpox | 0.415948 |
| state VFC coordinator | 0.52577 |
| immunization scheduler | 0.474507 |
| Children Program | 0.469223 |
| Measles spreads | 0.670841 |
| measles | 0.97787 |
| MMR vaccine | 0.605942 |
| age | 0.519202 |
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Centers for Disease Control and Prevention |
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DVBID: Home Page | CDC Lyme Disease |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| Steps | 0.320635 |
| Health Grand Rounds | 0.664331 |
| infection | 0.324323 |
| joints | 0.326069 |
| characteristic skin rash | 0.571271 |
| Innovations | 0.320909 |
| fever | 0.325819 |
| Typical symptoms | 0.429334 |
| infected blacklegged ticks | 0.639086 |
| fatigue | 0.327395 |
| Feeling | 0.325065 |
| lyme disease | 0.935028 |
| pesticides | 0.324784 |
| bite | 0.329099 |
| CDC Public Health | 0.661139 |
| tickborne diseases | 0.554446 |
|
| possibility | 0.324723 |
| Laboratory testing | 0.418285 |
| cases | 0.320527 |
| validated methods | 0.425561 |
| physical findings | 0.42189 |
| infected ticks | 0.488065 |
| heart | 0.322358 |
| bacterium Borrelia burgdorferi | 0.587719 |
| erythema migrans | 0.459113 |
| Public Health Grand | 0.646971 |
| insect repellent | 0.423136 |
| exposure | 0.322616 |
| Video | 0.356346 |
| headache | 0.328776 |
| antibiotics | 0.326798 |
| humans | 0.324586 |
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Centers for Disease Control and Prevention |
Html |
en |
Oxygen difluoride - 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 |
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Centers for Disease Control and Prevention |
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Antismoking media campaign and smoking cessation outcomes, New York State, 2003-2009. |
The objective of this study was to examine whether exposure to the New York Tobacco Control Program's statewide antismoking media campaign corresponded to smoking outcomes. |
| New York BRFSS | 0.324665 |
| new york adult | 0.622046 |
| New York Behavioral | 0.355892 |
| York State Department | 0.352534 |
| Risk Factor Surveillance | 0.322215 |
| National Health Interview | 0.334707 |
| media campaign | 0.439476 |
| tobacco control programs | 0.41822 |
| new york smokers | 0.380749 |
| national smoking prevention | 0.28868 |
| NY TCP advertisements | 0.294684 |
| York Adult Tobacco | 0.512575 |
| New York State | 0.57924 |
| media campaign advertisements | 0.285837 |
| York adult smokers | 0.377818 |
| Health Interview Survey | 0.337494 |
| Control Program advertisement | 0.351692 |
| York Tobacco Control | 0.451323 |
| Media Campaign Resource | 0.303904 |
| mass media campaigns | 0.31009 |
| health communication | 0.301486 |
| TCP media campaign | 0.293043 |
| statewide tobacco control | 0.307374 |
| Behavioral Risk Factor | 0.322306 |
| York Behavioral Risk | 0.338769 |
|
| smoking prevalence | 0.480018 |
| New York Tobacco | 0.457642 |
| New York adults | 0.353946 |
| United States | 0.329011 |
| current smoking prevalence | 0.316656 |
| New York residents | 0.29559 |
| advertisements | 0.310994 |
| adult smoking prevalence | 0.365192 |
| Adult Tobacco Survey | 0.509216 |
| cigarette consumption | 0.333832 |
| public health | 0.325762 |
| early tobacco control | 0.286414 |
| New York | 0.962597 |
| Farrelly MC | 0.396959 |
| NY TCP | 0.795727 |
| adult smokers | 0.39348 |
| past-year quit attempts | 0.292054 |
| state tobacco control | 0.315493 |
| antismoking media campaign | 0.353073 |
| health | 0.354779 |
| tobacco control program | 0.571079 |
| NY TCP advertising | 0.322084 |
| York State Smokers | 0.298307 |
| Campaign Resource Center | 0.294279 |
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Centers for Disease Control and Prevention |
Html |
en |
Bat Flu |
A new and dramatically different influenza A virus has been discovered in fruit bats - CDC |
| current form | 0.382831 |
| human illness | 0.376575 |
| infectious diseases | 0.372928 |
| CDC experts | 0.422989 |
| infectious disease threats | 0.440555 |
| Central American | 0.370474 |
| genetic properties | 0.375517 |
| Disease Control | 0.391925 |
| test tubes | 0.373672 |
| Valley’s field | 0.372726 |
| GDD Guatemala Regional | 0.47101 |
| fantastic opportunities | 0.368253 |
| emergency response activities | 0.423006 |
| National Academy | 0.383641 |
| regional center | 0.441289 |
| single host cell | 0.438373 |
| previous pandemics | 0.372883 |
| CDC Seasonal Flu | 0.466687 |
| common influenza viruses | 0.672933 |
| bat populations | 0.401475 |
| global disease detection | 0.631259 |
| bat viruses | 0.49706 |
| Influenza related information | 0.594001 |
| H1N1 pandemic | 0.369621 |
|
| Disease Detection Program | 0.443495 |
| disease experts | 0.374444 |
| Bat Influenza Questions | 0.616828 |
| human health issue | 0.453574 |
| human influenza viruses | 0.84202 |
| dramatically different influenza | 0.65581 |
| continental United States | 0.426167 |
| monitor influenza viruses | 0.658484 |
| bats | 0.483453 |
| southern Guatemala | 0.406638 |
| different species | 0.372199 |
| scientists. Preliminary research | 0.450938 |
| genetic information | 0.377311 |
| bat influenza virus | 0.746112 |
| scientific development | 0.369411 |
| Reassortment events | 0.374224 |
| Rabies Program | 0.372934 |
| basic needs | 0.369192 |
| new virus | 0.415691 |
| Additional studies | 0.370137 |
| Celia Cordón | 0.370132 |
| influenza viruses | 0.987531 |
| new influenza viruses | 0.695434 |
| fruit bats | 0.450642 |
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Centers for Disease Control and Prevention |
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Early Warning Disease Surveillance After a Flood Emergency -Pakistan, 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. |
| DEWS | 0.881444 |
| disease reporting | 0.632682 |
| acute paralytic illness | 0.631383 |
| patient visits | 0.693226 |
| outbreak alerts | 0.768406 |
| Pakistan National Institute | 0.68969 |
| surveillance staff members | 0.660104 |
| outbreak investigation | 0.628367 |
| appropriate case management | 0.807697 |
| national public health | 0.638625 |
| case definitions | 0.701902 |
| World Health Organization | 0.934907 |
| health facilities | 0.69581 |
| district health officers | 0.619306 |
| hemorrhagic fever syndrome | 0.674847 |
| Daily disease counts | 0.629247 |
| warning disease surveillance | 0.766674 |
| acute hemorrhagic fever | 0.732848 |
| data quality | 0.708297 |
| acute meningitis | 0.638595 |
| laboratory confirmation | 0.629464 |
| specimen collection | 0.620702 |
| early warning disease | 0.768884 |
| DEWS implementation mirror | 0.712982 |
| early outbreak detection | 0.644755 |
|
| acute watery diarrhea | 0.929161 |
| DEWS implementation | 0.72528 |
| acute respiratory infection | 0.964639 |
| disease outbreak alerts | 0.649615 |
| acute jaundice syndrome | 0.71043 |
| acute diarrhea | 0.855618 |
| outbreak detection systems | 0.634409 |
| bacterial meningitis | 0.64842 |
| acute onset | 0.621441 |
| public health | 0.68857 |
| skin diseases | 0.686754 |
| DEWS forms | 0.678243 |
| standardized DEWS case | 0.749141 |
| disease surveillance systems | 0.652911 |
| staff members | 0.682182 |
| primary objective | 0.625651 |
| bloody diarrhea | 0.688782 |
| acute flaccid paralysis | 0.799512 |
| Reinforce appropriate case | 0.809949 |
| EWARN systems | 0.622727 |
| standardized case definitions | 0.685193 |
| unexplained fever | 0.685383 |
| outbreak detection | 0.75316 |
| health importance.* Information | 0.624829 |
|
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Centers for Disease Control and Prevention |
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Global Networks Make Food Safer | CDC Features |
Foodborne diseases are preventable, yet common causes of illness, disability, and death worldwide. Find out how CDC and global partners are equipping countries with tools and training to make food safer. |
| foodborne diseases | 0.92594 |
| PulseNet International | 0.47398 |
| Global Disease Detection | 0.547936 |
| essential step | 0.469409 |
| safe food-handling guidelines | 0.537166 |
| complex options | 0.472025 |
| Chinese Ministry | 0.475401 |
| Disease scientists | 0.481211 |
| foodborne illnesses | 0.618709 |
| CDC laboratory scientists | 0.550318 |
| street vendors | 0.468793 |
| foodborne disease outbreaks | 0.801511 |
| Acute Diarrheal Diseases | 0.563476 |
| U.S. best practices | 0.538666 |
| PulseNet China | 0.480045 |
| greatest risk | 0.470505 |
| sick people | 0.474867 |
| better discovery | 0.472739 |
| cooking areas | 0.473229 |
| countries | 0.495285 |
| single recipe | 0.479171 |
| global partners | 0.488847 |
| share findings | 0.476184 |
| diarrheal diseases | 0.565847 |
| Environmental Diseases | 0.492673 |
|
| new foodborne diseases | 0.672002 |
| Global Health Unit | 0.547492 |
| Food safety | 0.495381 |
| disease-causing germs | 0.495673 |
| complex process | 0.481202 |
| tainted food | 0.489428 |
| laboratory scientists | 0.598716 |
| United States | 0.472174 |
| international activities | 0.47847 |
| food choices | 0.485614 |
| laboratory tools | 0.476601 |
| death worldwide | 0.487996 |
| China | 0.480227 |
| consumers | 0.449395 |
| public health | 0.553013 |
| basic public health | 0.552383 |
| public health workers | 0.541603 |
| Chinese microbiologists | 0.476257 |
| key role | 0.47509 |
| DNA fingerprints | 0.474123 |
| foodborne disease detection | 0.672419 |
| foodborne disease | 0.870636 |
| lab detection yields | 0.534732 |
| laboratory skills | 0.475088 |
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Centers for Disease Control and Prevention |
Html |
en |
Settings of Norovirus Outbreaks, Figure 2 | CDC Features |
Noroviruses spread by having contact with infected people, consuming contaminated food or water, and touching contaminated objects or surfaces. Outbreaks occur often and can happen to people of all ages in a variety of settings. |
| refers | 0.407898 |
| restaurant | 0.370393 |
| single exposure | 0.665558 |
| banquet facility | 0.642522 |
|
| health care facility | 0.912182 |
| day-care facility | 0.679255 |
| foodborne outbreaks | 0.814227 |
| private residence | 0.675838 |
|
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| 9861 |
Centers for Disease Control and Prevention |
Html |
en |
Laboratory Water, Sanitation, and Hygiene Team - Waterborne Disease Prevention Branch - DFWED - NCEZID |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| Applies serological assays | 0.419666 |
| drug therapies | 0.350146 |
| Laboratory Team conducts | 0.413316 |
| WASH laboratory team | 0.426101 |
| navigation Skip | 0.312589 |
| global water | 0.262592 |
| serological assays | 0.484512 |
| Zoonotic Infectious Diseases | 0.426508 |
| sample detection methods | 0.387709 |
| list Skip | 0.320238 |
| page options Skip | 0.450203 |
| natural environment | 0.253948 |
| new serological assays | 0.424682 |
| associated analytical methods | 0.37434 |
| WASH-related disease | 0.250228 |
| advanced molecular detection | 0.574671 |
| environmental sampling techniques | 0.369226 |
| free-living amebic infections | 0.726046 |
| future infections | 0.274032 |
| bead-based serological assays | 0.43623 |
| epidemiologic studies | 0.245012 |
| post-public health intervention | 0.328918 |
| diagnostic methods | 0.250981 |
| outbreak investigations | 0.380175 |
|
| bacterial infections | 0.267722 |
| Supports water-related emergency | 0.365661 |
| fecal contamination | 0.243437 |
| zoonotic parasites | 0.280824 |
| intestinal amebas | 0.540016 |
| parasitic disease surveillance | 0.379958 |
| Diagnoses amebic infections | 0.436715 |
| simple ELISA-based method | 0.343158 |
| Naegleria fowleri | 0.409071 |
| molecular detection tools | 0.357948 |
| recreational water | 0.247292 |
| environmental samples | 0.353365 |
| treatment methods | 0.261398 |
| pathogenic free-living Acanthamoeba | 0.554676 |
| Cryptosporidium oocyst production | 0.374604 |
| protozoan parasites | 0.254 |
| Balamuthia mandrillaris | 0.252874 |
| matter experts | 0.245349 |
| Conducts environmental investigations | 0.384533 |
| microbial detection | 0.248517 |
| zoonotic diseases | 0.27563 |
| protozoan pathogens | 0.257649 |
| free-living amebas | 0.919077 |
| lead laboratory unit | 0.413248 |
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Centers for Disease Control and Prevention |
Html |
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Resources for Tribal Road Safety | CDC Features |
TMVIPP significantly improves road safety in tribal communities |
| North Carolina | 0.368225 |
| AI/AN community | 0.375922 |
| car seat | 0.512227 |
| alcohol-impaired driving. | 0.398049 |
| Tribal Toolkit | 0.380183 |
| media campaign | 0.372401 |
| recommended strategies | 0.413356 |
| Rural Indian Health | 0.440657 |
| motor vehicle death | 0.487767 |
| effective strategies | 0.374159 |
| AI/AN passenger vehicle | 0.466428 |
| Yurok Program | 0.389213 |
| alcohol-impaired driving | 0.473131 |
| effective interventions | 0.377282 |
| car seat checks | 0.47319 |
| injury prevention strategies | 0.445922 |
| racial/ethnic populations | 0.373485 |
| American Indians | 0.45278 |
| AI/AN communities | 0.382003 |
| higher rates | 0.372773 |
| TMVIP programs | 0.366813 |
| best practices guide | 0.516393 |
| environmental changes | 0.370541 |
| highlights important steps | 0.419262 |
|
| car seat distribution | 0.475373 |
| fact sheets | 0.367616 |
| primary focus | 0.370087 |
| Tribal Motor Vehicle | 0.629309 |
| car crashes | 0.402216 |
| AI/AN tribes | 0.377715 |
| motor vehicle crash | 0.535881 |
| road safety | 0.51365 |
| motor vehicle | 0.984689 |
| motor vehicle injury | 0.833014 |
| child safety seat | 0.539807 |
| Yurok Tribe | 0.380585 |
| injury prevention program | 0.688409 |
| significantly improved road | 0.43543 |
| vehicle crash injury | 0.530218 |
| Indian Country | 0.371995 |
| community education clinics | 0.4343 |
| tribal communities | 0.507496 |
| Alaska Natives | 0.462686 |
| high prevalence | 0.376244 |
| vehicle injury prevention | 0.853515 |
| Indian Health Service | 0.511417 |
| seat belt | 0.442863 |
| motor vehicle crashes | 0.872904 |
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