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Centers for Disease Control and Prevention |
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July 1, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC |
Get the latest CDC information on the recent infections from fresh spinach, and find out what you can do to protect yourself and your family. |
| New York | 0.486343 |
| Company | 0.419114 |
| CDC | 0.42392 |
| United States | 0.669168 |
| Maine | 0.417334 |
| DNA fingerprint | 0.499162 |
| JBS Swift Beef | 0.605157 |
| O157 Infections Associated | 0.585313 |
| California | 0.417387 |
| New Jersey | 0.486936 |
| H7 | 0.592403 |
| advanced DNA test | 0.569183 |
|
| Michigan | 0.417281 |
| persons | 0.510563 |
| number | 0.417515 |
| New Mexico | 0.486667 |
| New Hampshire | 0.487314 |
| ill persons | 0.490722 |
| confirmatory tests | 0.492488 |
| E. coli | 0.996849 |
| outbreak strain | 0.834605 |
| Multistate Outbreak | 0.588818 |
| H7 Live | 0.587658 |
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Centers for Disease Control and Prevention |
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Rapid Diagnostic Testing for Influenza: Information for Health Care Professionals |
Rapid diagnostic tests for influenza can help in the diagnosis and management of patients who present with signs and symptoms compatible with influenza - CDC |
| clinical management | 0.329335 |
| diagnostic test result | 0.404306 |
| reference laboratory testing | 0.315109 |
| False-negative results | 0.277712 |
| test performance | 0.269632 |
| Clin Micro Rev | 0.31204 |
| nasopharyngeal swabs | 0.300248 |
| nasal swabs | 0.371946 |
| Cobas Influenza A/B | 0.548281 |
| transcription polymerase chain | 0.435233 |
| Proper interpretation | 0.268401 |
| Rapid Influenza Diagnostic | 0.684672 |
| seasonal influenza viruses | 0.570677 |
| Viral transport media | 0.308676 |
| FDA-approved test systems | 0.320538 |
| respiratory tract specimens | 0.391441 |
| respiratory disease | 0.307187 |
| respiratory specimens | 0.526057 |
| test results | 0.295974 |
| View guidance | 0.314695 |
| rapid diagnostic test | 0.433454 |
| package insert | 0.397169 |
| influenza diagnostic assays | 0.58108 |
| single acute serum | 0.319444 |
| rapid diagnostic tests | 0.5545 |
|
| Influenza A&B | 0.500265 |
| Rapid molecular assays | 0.366138 |
| public health laboratories | 0.312228 |
| false-positive results | 0.321803 |
| seasonal influenza serology | 0.567387 |
| nursing homes | 0.273745 |
| influenza | 0.992122 |
| influenza assays | 0.519735 |
| approved clinical specimens | 0.374104 |
| fluorescence-based lateral flow | 0.317523 |
| community influenza activity | 0.577564 |
| state health department | 0.317775 |
| device package insert | 0.322319 |
| polymerase chain reaction | 0.438067 |
| virus infections | 0.305069 |
| influenza season | 0.602091 |
| convalescent serum specimens | 0.363071 |
| analyzer reader device | 0.30761 |
| Serological testing | 0.271801 |
| routine patient diagnosis | 0.315976 |
| influenza viruses | 0.71477 |
| influenza prevalence | 0.60678 |
| rapid influenza | 0.831232 |
| influenza testing results | 0.655772 |
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Centers for Disease Control and Prevention |
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CDC report shows about 112 million annual incidents of people drinking and driving - Press Release: October 4, 2011 |
CDC report shows about 112 million annual incidents of people drinking and driving |
| Mortality Weekly Report | 0.70319 |
| CDC’s National | 0.73785 |
| binge drinking | 0.839578 |
| alcohol–impaired driver | 0.647599 |
| Disease Control | 0.636112 |
| CDC journal Morbidity | 0.808814 |
| effective strategies | 0.619807 |
| minimum legal drinking | 0.981216 |
| Drunk drivers | 0.637885 |
| driving episodes | 0.666791 |
| Ignition interlocks | 0.636778 |
| legal drinking age | 0.977042 |
| motor vehicle safety | 0.716685 |
| sobriety checkpoints drivers | 0.779275 |
| alcohol impairment | 0.619066 |
| Behavioral Risk Factor | 0.722669 |
| harm’s way | 0.61891 |
| CDC Director Thomas | 0.878103 |
| Injury Prevention | 0.625421 |
| reaction times | 0.617434 |
| health threats | 0.636657 |
| vehicle passenger safety | 0.703788 |
| cardiovascular health | 0.627491 |
| re–arrest rates | 0.612909 |
| Transportation Research Board | 0.714455 |
|
| visit http://www.cdc.gov/workplacehealthpromotion/nhwp/index.html | 0.612579 |
| prescription drug overdose | 0.697787 |
| U.S. DEPARTMENT | 0.613438 |
| inexperienced drivers | 0.6306 |
| U.S. health protection | 0.732266 |
| drunk driving | 0.729231 |
| key health indicators | 0.719079 |
| short period | 0.621867 |
| Surveillance System Survey | 0.619546 |
| 50 states | 0.615244 |
| policy issue brief | 0.70454 |
| Public support | 0.619883 |
| new workplace health | 0.721709 |
| R. Frieden | 0.644042 |
| visit www.cdc.gov/motorvehiclesafety | 0.613513 |
| U.S. population | 0.621358 |
| food safety | 0.614117 |
| alcohol–impaired driving | 0.833637 |
| public health problem | 0.750401 |
| drinking age laws | 0.849908 |
| Linda C. Degutis | 0.716785 |
| CDC Vital Signs | 0.877868 |
| responsible drivers | 0.636741 |
| CDC report | 0.718274 |
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Centers for Disease Control and Prevention |
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EID News Synopsis: November 2011 |
EID News Synopsis: November 2011 |
| clean water | 0.550188 |
| Haiti cholera epidemic | 0.695007 |
| Aleisha R. Reimer | 0.489467 |
| drug-resistant strains | 0.457929 |
| Dr. Robert Tauxe | 0.500039 |
| CDC study | 0.511432 |
| U.S. cholera patients | 0.625217 |
| sanitation infrastructure | 0.468509 |
| disease rehydration treatment | 0.500377 |
| Florida—Emerging Pathogens Institute | 0.484541 |
| Contact Dr. Stacie | 0.503003 |
| health care providers | 0.505896 |
| cholera strain | 0.632223 |
| cholera control | 0.574026 |
| J. Glenn Morris | 0.48076 |
| CDC Press Office | 0.912054 |
| United States Associated | 0.583681 |
| United States | 0.63848 |
| global health concern | 0.492394 |
| Haiti strain | 0.544078 |
| public health officials | 0.496413 |
| Contact Dr. Maria | 0.490189 |
| Drug-resistant cholera | 0.579859 |
| poor sanitation | 0.476182 |
| public health response | 0.508569 |
|
| Infectious Diseases | 0.457433 |
| Haiti epidemic | 0.517324 |
| poor health infrastructure | 0.504884 |
| Contact Ms. Anna | 0.492427 |
| public education campaigns | 0.495774 |
| Contact Dr. Peter | 0.495275 |
| untreated water | 0.464503 |
| diverse diet | 0.487456 |
| higher socioeconomic status | 0.490671 |
| public health journal | 0.51788 |
| vital water | 0.459842 |
| good sanitation | 0.465487 |
| drinking water | 0.459282 |
| cholera | 0.812079 |
| public health | 0.55339 |
| Contact Dr. | 0.538058 |
| cholera organism | 0.567671 |
| CDC scientists | 0.505533 |
| inadequate water | 0.462713 |
| p.m. EDT | 0.461081 |
| Hispaniolais available online | 0.5041 |
| epidemic—its ancestral history—so | 0.488187 |
| cholera bacteria | 0.568496 |
| Dr. Jean Whichard | 0.484885 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | The Effect of the Missouri WISEWOMAN Program on Control of Hypertension, Hypercholesterolemia, and Elevated Blood Glucose Among Low-Income Women - CDC |
The Well-Integrated Screening and Evaluation for Women Across the Nation (WISEWOMAN) public health program is designed to reduce the risk of heart disease and stroke among low-income, underinsured or uninsured women through clinical screenings, risk factor assessment, and lifestyle interventions. We assessed the effect of the Missouri WISEWOMAN program on the control of high blood pressure, total cholesterol, and blood glucose levels. |
| total blood cholesterol | 0.313978 |
| total cholesterol control | 0.36186 |
| total cholesterol | 0.842545 |
| high school education | 0.404864 |
| systolic blood pressure | 0.309856 |
| borderline high total | 0.281635 |
| high blood cholesterol | 0.298627 |
| diastolic blood pressure | 0.309824 |
| high-density lipoprotein cholesterol | 0.278707 |
| initial visit | 0.597398 |
| blood pressure | 0.982996 |
| total cholesterol concentration | 0.285255 |
| elevated blood glucose | 0.399602 |
| weight | 0.305735 |
| Missouri WISEWOMAN program | 0.608397 |
| WISEWOMAN program participants | 0.322671 |
| blood pressure control | 0.31419 |
| mm Hg | 0.417344 |
| follow-up visit | 0.726838 |
| blood cholesterol | 0.324082 |
| abnormal total cholesterol | 0.279321 |
| stage ii hypertension | 0.319457 |
| WISEWOMAN participants | 0.340821 |
| abnormal blood pressure | 0.280393 |
|
| women | 0.509824 |
| blood glucose | 0.708835 |
| control total cholesterol | 0.294082 |
| blood pressure levels | 0.288855 |
| blood glucose levels | 0.38566 |
| lifestyle intervention | 0.277673 |
| high blood glucose | 0.29671 |
| high total cholesterol | 0.47262 |
| heart disease | 0.330305 |
| weight status | 0.277309 |
| initial blood pressure | 0.282384 |
| public health | 0.324232 |
| public health program | 0.281163 |
| WISEWOMAN program services | 0.321554 |
| nondiabetic women | 0.300181 |
| control | 0.420962 |
| medication | 0.313804 |
| elevated blood pressure | 0.292359 |
| average systolic blood | 0.303282 |
| high blood pressure | 0.512419 |
| total cholesterol level | 0.285537 |
| initial screening visit | 0.283828 |
| LSI sessions | 0.369083 |
| blood total cholesterol | 0.311831 |
|
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Centers for Disease Control and Prevention |
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en |
Skin Cancer Risk Behaviors Among U.S. Adults |
One study looked at trends over time in sun-protective behaviors and sunburn among U.S. adults between the ages of 18 and 29 years. A second study looked at indoor tanning among U.S. adults aged 18 years and older. |
| skin cancer | 0.659202 |
| invisible kind | 0.221337 |
| UV rays | 0.223399 |
| sunscreen | 0.204505 |
| skin cancer prevention | 0.312588 |
| United States | 0.339637 |
| sunburns | 0.208932 |
| National Health Interview | 0.317489 |
| sunburn | 0.201264 |
| non-Hispanic black women | 0.416517 |
| NHIS data | 0.328502 |
| deadliest form | 0.232072 |
| common form | 0.223682 |
| health outcome | 0.21893 |
| Disease Control | 0.292632 |
| long-sleeved shirt | 0.220907 |
|
| non-Hispanic blacks | 0.328376 |
| ethnic groups | 0.211987 |
| Skin cancer treatment | 0.335328 |
| non-hispanic white women | 0.902528 |
| non-Hispanic whites | 0.326601 |
| indoor tanning device | 0.329158 |
| non-melanoma skin cancers | 0.349246 |
| sun-protective behaviors | 0.224946 |
| non-Hispanic white adults | 0.399596 |
| indoor tanning devices | 0.848912 |
| wide-brimmed hat | 0.21839 |
| U.S. adults | 0.520772 |
| shade | 0.212762 |
| sun protective behaviors | 0.49234 |
| adults—United States | 0.204823 |
| long clothing | 0.211053 |
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Centers for Disease Control and Prevention |
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FY 2014 AMD Projects: Disease Surveillance |
To improve surveillance of vaccine-preventable diseases, like measles, mumps, and rubella, CDC uses advanced molecular detection (AMD). |
| CDC | 0.437114 |
| state capacity | 0.482636 |
| international partners | 0.487044 |
| non-vaccine-preventable diseases | 0.509185 |
| additional genetic information | 0.5507 |
| additional steps | 0.491362 |
| gastrointestinal illnesses | 0.484932 |
| genomic RNA | 0.587079 |
| complete genomic information | 0.58114 |
| entire genetic make-up | 0.564762 |
| easy improvement | 0.482506 |
| highly variable viruses | 0.663407 |
| rubella | 0.44619 |
| RNA viruses | 0.936801 |
| pathogenic organisms | 0.500701 |
| previously unknown viruses | 0.652112 |
| molecular detection | 0.483383 |
| DNA viruses | 0.594691 |
| viral pathogens | 0.505072 |
| Centers Program | 0.484416 |
| state public health | 0.692933 |
| public health laboratories | 0.814998 |
| larger DNA genomes | 0.572022 |
| VGP | 0.470328 |
| important viral diseases | 0.578846 |
|
| user-friendly computer analyses | 0.482415 |
| United States | 0.482634 |
| Current methods | 0.490848 |
| disease outbreaks | 0.502527 |
| genetic code | 0.496725 |
| important disease threats | 0.550562 |
| Preventable Disease Reference | 0.557099 |
| print-only PDF fact | 0.565228 |
| genetic material | 0.503957 |
| technology transfer | 0.484951 |
| standardized laboratory methods | 0.555013 |
| viruses spread | 0.585258 |
| faster detection | 0.485831 |
| polio | 0.440663 |
| genomic picture | 0.514176 |
| structure | 0.432723 |
| smaller organisms | 0.499962 |
| complete genomic sequences | 0.583509 |
| viral genomics pipeline | 0.568729 |
| genome sequencing | 0.592123 |
| vaccine-preventable diseases | 0.68679 |
| standard process | 0.49516 |
| state laboratories | 0.492362 |
| measles | 0.44439 |
|
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| 12896 |
Centers for Disease Control and Prevention |
Video |
en |
Concussion Videos - Kurt Warner's PSA (Football) |
Former NFL quarterback and Super Bowl Champion Kurt Warner shares his insight into how parents can recognize, respond, and prevent concussions in their kids.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=117842ee23f3733920411449f8ce32fd20130219152354421 |
| ABC | 0.587142 |
| Concussion | 0.784432 |
| Parents | 0.341379 |
|
| Kurt Warner | 0.911589 |
| YouTube | 0.630861 |
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Centers for Disease Control and Prevention |
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Basics | Diabetes |
This page offers resources and information about the basics of diabetes |
| main types | 0.536103 |
| gestational diabetes | 0.758579 |
| Americans | 0.235086 |
|
| body | 0.216598 |
| diabetes | 0.840779 |
| food | 0.21612 |
|
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Centers for Disease Control and Prevention |
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Opening and Mixing Oseltamivir Capsules with Liquids if Child Cannot Swallow Capsules |
How to mix Tamiflu with sweetened liquids for children who cannot swallow capsules - CDC |
| sweetened liquid | 0.642758 |
| seasonal item | 0.526653 |
| pharmacy. | 0.266116 |
| taste | 0.266165 |
| liquid mixture | 0.587193 |
| medicine | 0.474505 |
| powder | 0.332575 |
| medicine mixture | 0.447769 |
| bowl | 0.260624 |
| sugar-free chocolate syrup | 0.756892 |
|
| n’t matter | 0.449425 |
| way | 0.264136 |
| sweet liquids | 0.491507 |
| flavor | 0.269321 |
| dose | 0.267728 |
| oseltamivir capsule | 0.963383 |
| chocolate syrup | 0.813237 |
| oseltamivir capsules | 0.825296 |
| provider prescribes | 0.518144 |
| child’s provider | 0.459258 |
|
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