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Centers for Disease Control and Prevention |
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You Can Help Detect and Solve Outbreaks of Foodborne Disease | CDC Features |
Did you know you can help disease detectives detect and solve foodborne disease outbreaks? Learn some ways you can help detect and solve foodborne disease outbreaks, and maybe help protect others from getting sick. |
| disease detectives | 0.510553 |
| Escherichia coli | 0.381081 |
| health care provider | 0.523997 |
| blood tests | 0.368476 |
| outbreak investigation | 0.393215 |
| common types | 0.375857 |
| U.S. Department | 0.368517 |
| similar outbreaks | 0.416355 |
| case-control study | 0.364999 |
| similar symptoms | 0.367248 |
| environmental testing information | 0.435825 |
| health department officials | 0.430069 |
| Health care providers | 0.437798 |
| foodborne illnesses | 0.499283 |
| foodborne disease outbreaks | 0.934123 |
| sick people | 0.487737 |
| public health officials | 0.422586 |
| short time | 0.378563 |
| healthy people | 0.375366 |
| important role | 0.371722 |
| foodborne illness | 0.512102 |
| state public health | 0.436604 |
| shopper card information | 0.422292 |
| medical conditions | 0.380215 |
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| Health departments | 0.379245 |
| special events | 0.36863 |
| Disease Detective Investigations | 0.423327 |
| harmful germs | 0.394454 |
| Drug Administration | 0.365952 |
| outbreak investigations | 0.448519 |
| foodborne germs | 0.439586 |
| food diary | 0.390774 |
| local health department | 0.532946 |
| food receipts | 0.482606 |
| state health department | 0.628919 |
| foodborne disease detectives | 0.495071 |
| shopper card programs | 0.536465 |
| original packaging | 0.364996 |
| public health | 0.474381 |
| food poisoning | 0.640482 |
| food regulatory laboratories | 0.442861 |
| health department website | 0.444826 |
| health official contacts | 0.43274 |
| health department | 0.643934 |
| food eaten | 0.390835 |
| common source | 0.370341 |
| people | 0.52467 |
| epidemiologic study | 0.364956 |
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Tobacco Use Among Middle and High School Students-United States, 2000-2009 |
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| cigarette smoking | 0.336321 |
| prevalence | 0.26252 |
| tobacco-related knowledge | 0.258124 |
| current tobacco | 0.561275 |
| middle school students | 0.795502 |
| second-hand smoke exposure | 0.447714 |
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| high school students | 0.735675 |
| overall declines | 0.605635 |
| National Youth Tobacco | 0.488644 |
| NYTS | 0.267283 |
| school students | 0.948371 |
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Yttrium - NIOSH Pocket Guide to Chemical Hazards |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0120 |
Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income. |
| county mortality data | 0.431086 |
| lower premature mortality | 0.488074 |
| Population Health Sciences | 0.358692 |
| average premature mortality | 0.451721 |
| county-level premature mortality | 0.458659 |
| adverse health outcomes | 0.359038 |
| CDC Compressed Mortality | 0.405283 |
| higher income levels | 0.366972 |
| household income levels | 0.454786 |
| Prevention Compressed Mortality | 0.432243 |
| 4-year college degree | 0.377376 |
| mortality disparities | 0.407114 |
| health outcomes | 0.404858 |
| County Health Rankings | 0.51305 |
| higher premature mortality | 0.487669 |
| premature mortality determinants | 0.461343 |
| Disease Control | 0.359071 |
| median household income | 0.594244 |
| percentage | 0.374675 |
| county-level income | 0.364643 |
| health care | 0.465978 |
| public health | 0.373585 |
| multivariable regression | 0.357527 |
| median annual household | 0.358229 |
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| variables | 0.357658 |
| population health | 0.381715 |
| Compressed Mortality database | 0.46513 |
| federal poverty guidelines | 0.368544 |
| high-income counties | 0.361263 |
| mortality measures | 0.383269 |
| health | 0.515404 |
| income levels | 0.466262 |
| annual household income | 0.385585 |
| Gini index scores | 0.364765 |
| scores income inequality | 0.400218 |
| index scores income | 0.39205 |
| Greater income inequality | 0.368512 |
| overall mortality | 0.393562 |
| better mortality outcomes | 0.400742 |
| income groups | 0.444674 |
| lower mortality rates | 0.417628 |
| income inequality | 0.511764 |
| population health model | 0.357571 |
| age-adjusted mortality rate | 0.466962 |
| premature mortality | 0.942408 |
| counties | 0.424374 |
| premature mortality rate | 0.515903 |
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Centers for Disease Control and Prevention |
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David J. Sencer CDC Museum - Camp Information Frequently Asked Questions |
CDC Disease Detective Camp: Frequently Asked Questions - David J. Sencer CDC Museum |
| health education | 0.242156 |
| safety requirements. | 0.212292 |
| campers | 0.250776 |
| applicants | 0.2225 |
| medical treatment focus | 0.310687 |
| current newsworthy topics | 0.284644 |
| vast field | 0.218768 |
| camp staff | 0.322564 |
| good learning opportunity | 0.306985 |
| CDC’s laboratory | 0.371644 |
| government-issued picture ID | 0.280683 |
| different career options | 0.307441 |
| public’s health | 0.251496 |
| CDC staff members | 0.428312 |
| clinical medical facility | 0.309606 |
| wait list slot | 0.324484 |
| Sencer CDC Museum | 0.434879 |
| Application Essay Questions | 0.32756 |
| CDC Museum | 0.553623 |
| mock press conferences | 0.278662 |
| high-school juniors | 0.313005 |
| application deadline | 0.238771 |
| CDC Disease Detective | 0.829277 |
| fellow campers | 0.221362 |
| Disease Detective Camp | 0.927815 |
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| people’s health | 0.232045 |
| camp applications | 0.272554 |
| Complete application | 0.24862 |
| teacher/counselor Recommendation Form | 0.302165 |
| camp@cdc.gov. | 0.267446 |
| 2017-2018 school | 0.213069 |
| application email | 0.250918 |
| e-mail address book | 0.290168 |
| camp slot | 0.288287 |
| public health | 0.583794 |
| public health law | 0.305926 |
| data analysis | 0.223588 |
| world-renowned CDC scientists | 0.421407 |
| teacher recommendation form | 0.453789 |
| data collection | 0.22362 |
| retired CDC employees | 0.4366 |
| global health activities | 0.30078 |
| camp session | 0.262029 |
| CDC headquarters | 0.344838 |
| application | 0.389137 |
| CDC Museum Disease | 0.476098 |
| systematic study | 0.217025 |
| CDC facility availability | 0.418004 |
| application process | 0.242733 |
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Preconception Care, Show Your Love Campaign - Images, Doctor |
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| Save Image As… | 0.260965 |
| Save target | 0.988722 |
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| picture,right click | 0.926116 |
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Louisiana: Supporting a Women's Decision to Breastfeed - PRAMS - Reproductive Health |
Louisiana: Supporting a Women’s Decision to Breastfeed, PRAMS |
| healthy food choices | 0.309369 |
| suitable lactation areas | 0.280635 |
| LA Obesity Council | 0.966941 |
| breastfeeding rates | 0.794657 |
| breastfeeding practices | 0.513703 |
| obesity—a systematic review | 0.264343 |
| Obesity Prevention | 0.324436 |
| physical activity | 0.304316 |
| Louisiana PRAMS | 0.261201 |
| current workplace lactation | 0.313014 |
| Louisiana Legislative Session | 0.283801 |
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| Kries R. Breast-feeding | 0.280957 |
| fact sheet | 0.290149 |
| Obes Relat Metab | 0.280758 |
| Louisiana Breastfeeding Coalition | 0.760771 |
| LA Breastfeeding Coalition | 0.910522 |
| current breastfeeding rates | 0.630113 |
| Louisiana Council | 0.206092 |
| childhood obesity | 0.355663 |
| PRAMS data | 0.207429 |
| LaPRAMS data | 0.281429 |
| breastfeeding accommodations | 0.531175 |
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Centers for Disease Control and Prevention |
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Insurance and Medicare Coverage for Colorectal Cancer Screening Tests |
Information about Medicare and private insurance coverage for colorectal (colon) cancer screening tests. |
| screening flexible sigmoidoscopy | 0.622104 |
| problem | 0.415257 |
| follow-up colonoscopy | 0.555243 |
| Colonoscopy Coverage | 0.543899 |
| e-mail | 0.414047 |
| colorectal cancer screening | 0.865152 |
| Medicare-approved | 0.414468 |
| CDC-INFO | 0.414096 |
| combination | 0.416301 |
| visit www.medicare.gov | 0.476662 |
| TTY users | 0.489963 |
| polyps | 0.422899 |
| colorectal cancer | 0.975945 |
| Program | 0.413946 |
| test | 0.705427 |
| 1-800-CDC-INFO | 0.41409 |
| copayment | 0.42877 |
| health insurance policy | 0.564622 |
| plans | 0.496578 |
| high risk | 0.792923 |
| occult blood test | 0.565837 |
| Colorectal Cancer Control | 0.608055 |
| lesion | 0.417353 |
| women | 0.41391 |
| screening test results | 0.59067 |
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| 1-800-MEDICARE | 0.414278 |
| screening tests | 0.525146 |
| Medicare coverage | 0.487426 |
| substitute | 0.415864 |
| flexible sigmoidoscopy | 0.682467 |
| low-income men | 0.476932 |
| payment option | 0.472696 |
| states | 0.413977 |
| Double-contrast barium enema | 0.551041 |
| hospital outpatient setting | 0.53579 |
| previous screening colonoscopy | 0.665895 |
| Medicare | 0.49251 |
| assignment | 0.462167 |
| insurance plans | 0.487271 |
| services | 0.414449 |
| minimum age | 0.478571 |
| people | 0.416888 |
| doctor | 0.48457 |
| follow-up test | 0.557463 |
| flex sig | 0.487086 |
| biopsy | 0.415684 |
| insurance plan | 0.554909 |
| information | 0.426687 |
| FOBT | 0.42294 |
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Health Benefits of Water-based Exercise | Healthy Swimming | Healthy Water | CDC |
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| A. Pool exercise | 0.75611 |
| mental health | 0.823559 |
| water offers | 0.611361 |
| warm water | 0.755615 |
| chronic heart failure | 0.651482 |
| inactive people | 0.631955 |
| L. Older women | 0.660289 |
| safe swimming behaviors | 0.676829 |
| health improvements | 0.623387 |
| mental health benefits | 0.704179 |
| aerobic fitness activities | 0.682882 |
| physical training | 0.603679 |
| Health Benefits. | 0.619664 |
| post-menopausal women | 0.599852 |
| warm water induces | 0.685568 |
| recreational activities | 0.596722 |
| Percept Mot Skills. | 0.652666 |
| bone health | 0.619678 |
| Curr Opin Rheumatol. | 0.655293 |
| rheumatoid arthritis | 0.700517 |
| aerobic physical activity | 0.856294 |
| frail elderly people | 0.673859 |
| Bureau. Statistical Abstract | 0.659238 |
| water-based pulmonary rehabilitation | 0.724805 |
| United States | 0.682479 |
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| water-based exercise | 0.979071 |
| DR. Mood alteration | 0.655036 |
| P. Physical exercise | 0.777767 |
| Physical Activity Guidelines | 0.697308 |
| exercise therapy | 0.716612 |
| Sports Activities | 0.598804 |
| heart disease | 0.602336 |
| physical performance | 0.610525 |
| Arthritis Rheum. | 0.619469 |
| unborn children | 0.594574 |
| Database Syst Rev. | 0.646897 |
| popular sports activity | 0.700213 |
| aerobic exercise | 0.71742 |
| Aging Phys Act. | 0.663875 |
| good way | 0.599763 |
| Sports Med Phys | 0.662107 |
| T. The water | 0.601833 |
| all-cause mortality risk | 0.665691 |
| B. Aquatic exercise | 0.759009 |
| randomized controlled trial | 0.650123 |
| Qual Life Res. | 0.666779 |
| Arthritis Care Res. | 0.686785 |
| water exercise program | 0.780546 |
| Intellect Disabil Res. | 0.65233 |
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Funding |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Vector Control Unit | 0.647051 |
| Zika outbreak | 0.571465 |
| Puerto Rico | 0.583045 |
| CDC | 0.873832 |
| Press Release | 0.97718 |
| supplemental funding opportunity | 0.662489 |
| emergency preparedness funds | 0.64415 |
| Florida | 0.516627 |
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| Zika | 0.726924 |
| states | 0.595924 |
| territories | 0.630718 |
| territories battle | 0.590658 |
| Media Statement | 0.582634 |
| continued Zika response | 0.642809 |
| fight | 0.519834 |
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