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Ground Water Awareness Week | CDC Features |
Learn more about ground water, the threats to its safety, and how to protect your own ground water sources during Ground Water Awareness Week. |
| clean water | 0.45791 |
| Water — United | 0.409727 |
| CDC. Surveillance | 0.40314 |
| important ground water | 0.508411 |
| water plays | 0.430053 |
| contaminated drinking water | 0.502163 |
| National Ground Water | 0.548309 |
| water supplies water | 0.531642 |
| Ground Water Association | 0.508528 |
| ground water outbreaks | 0.525792 |
| immune systems | 0.364448 |
| ground water systems | 0.567292 |
| Ground Water Awareness | 0.595852 |
| Morb Mortal Wkly | 0.482036 |
| germs | 0.416681 |
| Ground Water Statistics | 0.483796 |
| septic systems | 0.366521 |
| Escherichia coli O157 | 0.408785 |
| Ground Water Rule | 0.490193 |
| water quality | 0.434116 |
| ground water contaminants | 0.493619 |
| Environmental Protection Agency | 0.606874 |
| U.S. Geological Survey | 0.400363 |
| ground water sources | 0.502575 |
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| National Groundwater Association | 0.399988 |
| tap water | 0.409987 |
| United States | 0.639185 |
| ground water | 0.981111 |
| harmful germs | 0.394424 |
| U.S. Environmental Protection | 0.603687 |
| medical uses | 0.365904 |
| MMWR Morb Mortal | 0.48206 |
| common germs | 0.397715 |
| individual states | 0.365296 |
| drinking water | 0.724853 |
| Mortal Wkly Rep. | 0.473557 |
| public water systems | 0.694677 |
| local health departments | 0.398273 |
| private ground water | 0.522592 |
| ground water wells | 0.522617 |
| precious resources | 0.364722 |
| consumer confidence report | 0.402357 |
| Disease Outbreaks Associated | 0.50785 |
| Clin Microbiol Rev | 0.401181 |
| local drinking water | 0.49477 |
| certain germs | 0.393221 |
| Waterborne Disease Outbreaks | 0.513501 |
| harmful chemicals | 0.416516 |
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Early Identification and Linkage to Care of Persons withChronic Hepatitis B Virus Infection - Three U.S. Sites,2012-2014 |
Geoff A. Beckett, MPH1, Gilberto Ramirez, MBA1, Aaron Vanderhoff2, Kim Nichols, ScM2, Sara M. Chute, MPP3, David L. |
| test results | 0.451968 |
| patient navigation services | 0.637066 |
| foreign-born persons | 0.389273 |
| clinic-based HBV testing | 0.279128 |
| HBV-directed medical care | 0.257372 |
| high HBV infection | 0.31811 |
| community-based organizations | 0.221132 |
| HBV medical management | 0.299096 |
| medical care | 0.379126 |
| newly arrived refugees | 0.24282 |
| chronic HBV infection | 0.811707 |
| persons | 0.648349 |
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| community-based testing sites | 0.236501 |
| African Services Committee | 0.23522 |
| medical evaluation | 0.435729 |
| San Diego | 0.318698 |
| HBV infection status | 0.315984 |
| higher HBV infection | 0.417644 |
| HBV infection | 0.994087 |
| medical visit | 0.428653 |
| HBV testing | 0.430992 |
| HBV infection prevalence | 0.619286 |
| HBsAg-positive persons | 0.344662 |
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Cold Versus Flu |
Cold versus flu: Because colds and flu share many symptoms, it can be difficult to tell them apart. Learn the differences between colds and flu - CDC |
| stuffy nose | 0.828079 |
| feeling feverish/chills | 0.247827 |
| tiredness). | 0.242401 |
| different viruses | 0.297101 |
| body aches | 0.262995 |
| colds | 0.679154 |
| runny | 0.207002 |
| bacterial infections | 0.268425 |
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| respiratory illnesses | 0.309086 |
| flu | 0.932817 |
| symptoms | 0.423658 |
| flu share | 0.446065 |
| health problems | 0.475526 |
| sore throat | 0.264333 |
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| Special tests | 0.243599 |
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H3N2v Guidance for Public Health |
H3N2v Information for Public Health - CDC |
| list Skip | 0.781947 |
| public health laboratorians | 0.6148 |
| page options Skip | 0.901895 |
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| navigation Skip | 0.794716 |
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| identification | 0.240214 |
| guidance | 0.320739 |
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| investigation | 0.240497 |
| information | 0.269776 |
| links | 0.241485 |
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| surveillance | 0.256149 |
| state | 0.240962 |
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Air Monitoring for Chemical Warfare Agents Fact Sheet |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page includes information about air monitoring related to chemical weapons disposal facilities. |
| sufficient number | 0.621388 |
| public risk | 0.613862 |
| CDC | 0.774128 |
| multiple safety features | 0.783339 |
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| continual improvements | 0.637344 |
| corrective action | 0.636232 |
| disposal process | 0.633088 |
| low levels | 0.631198 |
| important goals | 0.630213 |
| Specially designed equipment | 0.858285 |
| entire operation | 0.60172 |
| exhaust | 0.440924 |
| backup systems | 0.615496 |
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| chemical agent detection | 0.816851 |
| Chemical agent monitoring | 0.87968 |
| perimeter | 0.44549 |
| automatically shuts | 0.618715 |
| air samples | 0.643353 |
| nearby residents | 0.651441 |
| sensitivity levels | 0.623172 |
| disposal facility | 0.658466 |
| protection | 0.442606 |
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| proper locations | 0.604763 |
| chemical agents | 0.644354 |
| critical functions | 0.606292 |
| chemical agent | 0.983246 |
| chemical monitors | 0.648971 |
| periodic process safety | 0.771403 |
| workers | 0.442541 |
| CDC staff | 0.722623 |
| following activities | 0.599299 |
| industrial hygiene surveys | 0.776079 |
| near-real-time monitoring | 0.733093 |
| oversight visits | 0.619234 |
| reading | 0.442153 |
| air-monitoring systems | 0.746556 |
| intended requirements | 0.610211 |
| chemical agent disposal | 0.851049 |
| air-sampling systems | 0.642697 |
| refinements | 0.460244 |
| agent-monitoring locations | 0.607628 |
| environment | 0.442567 |
| unnecessary program delays | 0.819355 |
| current systems | 0.625967 |
| near-real-time instruments | 0.685103 |
| analytical time | 0.616416 |
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Public Health Surveillance during a Disaster |
The Health Studies Branch (HSB) provides expertise and leadership in epidemiology to local, state, federal and international partners to help them prepare for and respond to natural and man-made public health disasters. To do this, HSB conducts surveillance, rapid needs assessments, epidemiology studies, and provides training in disaster epidemiology to public health professionals. |
| potential disease outbreaks | 0.552941 |
| Disaster-Related Mortality Surveillance | 0.722858 |
| public health disaster | 0.704537 |
| Response webpage | 0.473496 |
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| death scene investigators | 0.54691 |
| death scenes | 0.478844 |
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| death scene | 0.641329 |
| Death Scene Investigation | 0.54928 |
| Natural Disasters | 0.479041 |
| action items | 0.478742 |
| public health surveillance | 0.759967 |
| mortality surveillance tools | 0.635676 |
| early detection | 0.478791 |
| potential problems | 0.485035 |
| disaster relatedness | 0.620952 |
| Mortality Surveillance Form | 0.70136 |
| disaster epidemiology training | 0.668453 |
| morbidity surveillance forms | 0.61943 |
| scientific consultation | 0.471939 |
| future disaster response | 0.698662 |
| literature review | 0.524115 |
| visit HSB | 0.562273 |
| specific needs | 0.478792 |
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| human health impacts | 0.571981 |
| download forms | 0.475637 |
| refillable forms | 0.484284 |
| HSB Disaster Response | 0.752871 |
| training materials | 0.477049 |
| track disease | 0.479447 |
| disaster | 0.900805 |
| certain disasters | 0.474727 |
| adverse health effects | 0.574029 |
| HSB assistance | 0.564917 |
| death scene data | 0.548595 |
| injury trends | 0.477041 |
| natural disaster | 0.676476 |
| technical assistance | 0.471343 |
| systematic collection | 0.484416 |
| Disaster Surveillance Workgroup | 0.877675 |
| Weather-Related Events | 0.483643 |
| CDC Disaster Surveillance | 0.749273 |
| data collection | 0.479284 |
| CDC Health Studies | 0.554236 |
| Disaster Training | 0.607595 |
| Medicolegal Death Scene | 0.549079 |
| active surveillance | 0.54646 |
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CDC Telebriefing: New Vital Signs Report - What can be done to help children eat less sodium? | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| tens | 0.431373 |
| States Public Health | 0.641196 |
| visit www.cdcfoundation.org/businesspulse | 0.50691 |
| access | 0.420782 |
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| CDC Foundation | 0.588057 |
| deputy director | 0.539489 |
| M.D. | 0.433446 |
| United | 0.420225 |
| captain | 0.421396 |
| losses | 0.423915 |
| percent | 0.456727 |
| revenue | 0.420807 |
| U.S. DEPARTMENT | 0.510663 |
| M.P.H. | 0.420299 |
| Dan Jernigan | 0.552252 |
| online CDC resources | 0.664164 |
| Officer Thomas Neilson | 0.660914 |
| workers | 0.420916 |
| businesses | 0.420608 |
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| flu season. | 0.6574 |
| employers | 0.4515 |
| Immunization | 0.431573 |
| issue | 0.420731 |
| question | 0.420425 |
| CSX Chief Medical | 0.657266 |
| useful facts | 0.51825 |
| Business Pulse highlights | 0.733936 |
| specific influenza challenges | 0.673574 |
| thousands | 0.439033 |
| U.S. population | 0.514048 |
| important role | 0.511037 |
| Flu Prevention | 0.752282 |
| Influenza Division | 0.557326 |
| flu-related illness | 0.540654 |
| Respiratory Diseases | 0.533643 |
| answer feature | 0.531312 |
| HUMAN SERVICES | 0.510393 |
| information | 0.420842 |
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CDC: Dena's Story |
In this digital story, Dena discusses her HIV diagnosis in 1991 during college and living with HIV as a mom. She urges young people to talk and share information about HIV. The Centers for Disease Control and Prevention's (CDC) Let's Stop HIV Together national HIV awareness and anti-stigma campaign features the stories of individuals living with HIV and the steps they are taking to encourage others in the fight against HIV. Join the conversation on Facebook at http://www.facebook.com/ActAgainstAIDS.
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=3b327fe6dd06664b7080cf7689fcec9320120712102107765 |
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Diseases from rodents | Rodents | CDC |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Comparison of Test Results for Zika Virus RNA in Urine,Serum, and Saliva Specimens from Persons with Travel-AssociatedZika Virus Disease - Florida, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| symptom onset | 0.796151 |
| Zika virus | 0.94402 |
| Zika virus–specific IgM | 0.367298 |
| serum RT-PCR | 0.413998 |
| probable Zika virus | 0.387199 |
| RT-PCR | 0.525379 |
| reverse-transcription polymerase chain | 0.373966 |
| time RT-PCR protocol | 0.377112 |
| results | 0.394871 |
| RT-PCR testing | 0.49044 |
| IgM antibodies | 0.421382 |
| travel-associated Zika virus | 0.382039 |
| test results | 0.383667 |
| Zika virus RNA | 0.476218 |
| urine specimens | 0.808991 |
| Zika virus disease | 0.826413 |
| detectable Zika virus | 0.382688 |
| saliva RT-PCR tests | 0.40221 |
| virus IgM antibodies | 0.409793 |
| persons | 0.390011 |
| Zika virus activity | 0.38595 |
| saliva specimens | 0.458196 |
| dengue virus IgM | 0.385583 |
| positive urine specimens | 0.468288 |
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| positive test results | 0.381468 |
| real-time RT-PCR results | 0.374391 |
| secondary RT-PCR assays | 0.374772 |
| RT-PCR positive test | 0.385264 |
| RT-PCR targets | 0.362104 |
| equivocal specimens | 0.394125 |
| appropriate specimens | 0.402483 |
| Zika virus antigen | 0.382782 |
| Zika virus infection | 0.374665 |
| acute Zika virus | 0.462661 |
| specimen types | 0.363132 |
| virus IgM antibody | 0.442541 |
| saliva specimen | 0.363699 |
| polymerase chain reaction | 0.371978 |
| virus–specific IgM antibodies | 0.375017 |
| convalescent serum specimens | 0.441009 |
| confirmed Zika virus | 0.376405 |
| cases | 0.38557 |
| serum specimens | 0.71139 |
| Zika virus IgM | 0.463152 |
| Zika virus RT-PCR | 0.42882 |
| specimen type | 0.399292 |
| viral rna | 0.374935 |
| Zika virus testing | 0.418503 |
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