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Tips for College Health and Safety | CDC Features |
Going to college is an exciting time in a young person’s life. It is a time for gaining new knowledge and experiences, both inside and outside the classroom. Here are a few pointers for college students on staying safe and healthy. |
| young person | 0.487751 |
| college campuses | 0.474417 |
| mental health | 0.480239 |
| extra calories | 0.496061 |
| exciting time | 0.492468 |
| intramural sports team | 0.628789 |
| binge drinking | 0.736643 |
| Sexual violence | 0.592141 |
| risky sexual behavior | 0.609401 |
| binge drinks | 0.50886 |
| contact | 0.359001 |
| unintended pregnancy | 0.469251 |
| friend | 0.358187 |
| sexual activity | 0.475987 |
| long-term benefits | 0.455571 |
| sexual assault | 0.487119 |
| alcohol poisoning | 0.475596 |
| nutritious foods | 0.493063 |
| sexually transmitted diseases | 0.666205 |
| support | 0.359736 |
| new knowledge | 0.490777 |
| status | 0.359866 |
| United States | 0.463647 |
| safety problem | 0.456964 |
| drug overdoses | 0.455541 |
|
| substance abuse problems | 0.590519 |
| car crashes | 0.463188 |
| community police | 0.458551 |
| limit alcohol | 0.47816 |
| n’t start | 0.457407 |
| abused drugs | 0.466444 |
| ways | 0.362967 |
| sexually transmitted infections | 0.913189 |
| Suicide Prevention Lifeline | 0.61284 |
| college students | 0.63294 |
| heart disease | 0.479248 |
| smoking | 0.382763 |
| KB | 0.370865 |
| short period | 0.464592 |
| illicit drugs | 0.598002 |
| stress | 0.357888 |
| Regular physical activity | 0.621268 |
| cigarette smokers | 0.462709 |
| sexual partners | 0.472757 |
| people | 0.35728 |
| help | 0.394932 |
| local clinic | 0.459188 |
| female rape victims | 0.604989 |
| college health center | 0.597023 |
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Pregnancy, During Pregnancy |
Congratulations, you're pregnant! Pregnancy is an exciting time, but it can also be stressful. Knowing that you are doing all you can to stay healthy during pregnancy and give your baby a healthy start in life will help you to have peace of mind. |
| genetic disorders | 0.533431 |
| health care provider | 0.635188 |
| natural disasters | 0.618693 |
| exciting time | 0.552406 |
| viral infections | 0.535494 |
| pregnant women | 0.557677 |
| Unborn Babies | 0.554011 |
| mosquito-borne infections | 0.559194 |
| infant deaths. | 0.528081 |
| specific chemicals | 0.536934 |
| major birth defects | 0.680776 |
| talk | 0.537005 |
| baby gain | 0.557538 |
| unique conditions | 0.528507 |
| greater risk | 0.550772 |
| Poor control | 0.529046 |
| genetic condition | 0.530644 |
| pregnancy | 0.810989 |
| over-the-counter medications | 0.549124 |
| preventable cause | 0.556138 |
| Motor vehicle crashes | 0.625589 |
| Family members | 0.52911 |
| jaundice bilirubin test | 0.655399 |
| unborn baby | 0.82842 |
| genetic counselor | 0.61368 |
|
| United States | 0.62232 |
| Important growth | 0.547612 |
| flu vaccine | 0.532411 |
| west nile virus | 0.821237 |
| pregnancy increases | 0.565253 |
| sudden death | 0.5307 |
| certain workplace hazards | 0.623241 |
| premature birth | 0.691163 |
| certain medications | 0.541841 |
| folic acid | 0.763583 |
| warning signs | 0.54439 |
| baby’s doctor | 0.566108 |
| diseases. CDC | 0.535197 |
| birth defects | 0.953405 |
| doctor | 0.578194 |
| possible disease risks | 0.627518 |
| whooping cough | 0.540624 |
| Infant Death Syndrome | 0.636043 |
| healthy pregnancy | 0.572793 |
| baby’s birth | 0.565525 |
| high blood pressure | 0.816302 |
| family history | 0.746638 |
| healthy start | 0.544177 |
| baby | 0.865255 |
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CDC Grand Rounds: the TB/HIV Syndemic |
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. |
| latent TB infection | 0.559735 |
| TB bacilli | 0.498962 |
| tb prevention | 0.50893 |
| isoniazid preventive therapy | 0.354961 |
| IPT | 0.328792 |
| TB prevention strategy | 0.499656 |
| infectious TB cases | 0.485681 |
| ) control. | 0.633473 |
| better TB | 0.479073 |
| high TB incidence | 0.555176 |
| incident TB cases | 0.493056 |
| multidrug resistant TB | 0.486389 |
| latest STOP TB | 0.481953 |
| World Health Organization | 0.316681 |
| TB screening | 0.567743 |
| TB diagnostic assays | 0.486403 |
| tuberculosis | 0.293997 |
| early TB diagnosis | 0.51453 |
| TB incidence | 0.639814 |
| Global TB Control | 0.502808 |
| drug-resistant TB | 0.465309 |
| global TB incidence | 0.54941 |
| STOP TB strategy | 0.53692 |
| TB prevalence | 0.470366 |
| 36-month IPT arm | 0.288493 |
|
| TB diagnostic evaluation | 0.507016 |
| sustained TB transmission | 0.484055 |
| TB disease | 0.927556 |
| TB case detection | 0.50271 |
| countrywide TB incidence | 0.500311 |
| TB epidemic | 0.475715 |
| TB screening algorithm | 0.508928 |
| Agizew TB | 0.459059 |
| global TB strategy | 0.495594 |
| TB infection | 0.74238 |
| TB treatment | 0.499035 |
| PWHA | 0.308499 |
| active TB | 0.47387 |
| TB cases | 0.518203 |
| develop TB disease | 0.572509 |
| tuberculin skin test | 0.323401 |
| TB | 0.930212 |
| TB disease prevention | 0.568151 |
| TB strategy | 0.545382 |
| accurate TB diagnosis | 0.484651 |
| effective TB vaccine | 0.483558 |
| untreated TB | 0.497312 |
| TB diagnosis | 0.534483 |
| pulmonary TB | 0.492539 |
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Age Groups - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, age groups - CDC |
| data | 0.340832 |
| report Final estimates | 0.274813 |
| season estimates | 0.202599 |
| influenza vaccination coverage | 0.591575 |
| U.S. civilian population | 0.352532 |
| Risk Factor Surveillance | 0.371337 |
| recent influenza seasons | 0.334675 |
| seasonal influenza vaccination | 0.907536 |
| Monovalent Vaccination Coverage | 0.434781 |
| vaccination coverage | 0.621868 |
| Excludes U.S. territories | 0.379076 |
| heart disease | 0.282039 |
| Additional estimates | 0.206093 |
| estimates | 0.570113 |
|
| high risk conditions | 0.546833 |
| National Immunization Survey | 0.359472 |
| vaccination periods | 0.243138 |
| influenza season | 0.39042 |
| H1N1 Flu Survey | 0.348788 |
| BRFSS adult estimates | 0.294169 |
| Coverage estimates | 0.227978 |
| Confidence Interval | 0.209222 |
| chronic illness | 0.351023 |
| Data Source | 0.287066 |
| vaccination recommendations | 0.247006 |
| vaccination data | 0.274823 |
| national weighted estimates | 0.326837 |
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Congenital Heart Defects, Data and Statistics - NCBDDD |
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| special education services | 0.435645 |
| non-critical CHD | 0.299197 |
| United States | 0.446543 |
| Heart Defect Screening | 0.309897 |
| congenital heart | 0.980918 |
| CHDs | 0.777115 |
| state-based birth defects | 0.347655 |
| children | 0.300342 |
| Correa A. Prevalence | 0.289961 |
| Oximetry Newborn Screening | 0.274583 |
| critical congenital heart | 0.577741 |
| congenital heart disease | 0.392015 |
| Correa A. Congenital | 0.363324 |
| birth defect-associated infant | 0.270288 |
| Key Findings | 0.379536 |
| total number | 0.273667 |
| mild CHD | 0.270179 |
| severe CHDs | 0.456837 |
| ventricular septal defect | 0.287289 |
| [Read article] | 0.282266 |
| critical CHDs | 0.630494 |
|
| Read summary | 0.67546 |
| A. Congenital heart | 0.373864 |
| pulse oximetry | 0.28573 |
| complex congenital heart | 0.345303 |
| Read article | 0.305699 |
| new study | 0.287563 |
| infants | 0.277896 |
| critical CHD | 0.349543 |
| medical care costs | 0.272787 |
| New York State | 0.27868 |
| Congenital Heart Defects—New | 0.348529 |
| New CDC study | 0.270543 |
| birth defects | 0.410459 |
| congenital heart defect | 0.410138 |
| Health Care Costs | 0.26858 |
| Correa A. Patterns | 0.270182 |
| critical CHD screening | 0.322072 |
| open heart surgery | 0.286216 |
| newborn screening | 0.313744 |
| congenital heart defects | 0.965607 |
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Jamason's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Extended videos featuring Jamason, an 18-year-old who had a severe asthma attack triggered by secondhand smoke. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Jamason | 0.489192 |
| work | 0.349592 |
| breathing. | 0.344825 |
| video | 0.388883 |
| people | 0.387443 |
| severe asthma attack | 0.91769 |
| breath | 0.357083 |
| real world | 0.520761 |
|
| exposure | 0.359886 |
| mother Sherri | 0.617914 |
| severe attack | 0.603891 |
| Smokers® campaign | 0.525249 |
| …because | 0.34192 |
| secondhand smoke | 0.596214 |
| hospital | 0.484658 |
| drive | 0.345809 |
|
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2012 National Report on Biochemical Indicators of Diet and Nutrition - Factsheets |
CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES) |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
|
| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
|
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MMWR News Synopsis: August 21, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Assistant Director | 0.351371 |
| foreign-born children | 0.513866 |
| vaccine schedules | 0.499073 |
| varicella-zoster virus-containing vaccines | 0.747359 |
| vaccine-related diseases | 0.34369 |
| current recommendation | 0.461518 |
| new patient enrollment | 0.420567 |
| small risk | 0.444312 |
| higher percentage | 0.334547 |
| U.S. pediatricians | 0.34613 |
| different parts | 0.34506 |
| congenital varicella syndrome | 0.959524 |
| Hospital practices | 0.345325 |
| Vaccine Adverse Event | 0.495022 |
| maternity care facilities | 0.454493 |
| lower percentage | 0.33407 |
| vaccine-associated diseases | 0.505391 |
| white babies | 0.338831 |
| persistent gap | 0.332185 |
| HUMAN SERVICES | 0.32648 |
| CDC Media Relations | 0.863277 |
| health benefits | 0.340427 |
| new cases | 0.325882 |
| major impact | 0.339474 |
|
| United States | 0.480056 |
| Merck/CDC pregnancy registry | 0.447394 |
| vaccine protection | 0.386206 |
| Recent arrival | 0.344768 |
| Metropolitan Health District | 0.487363 |
| health-care providers | 0.329639 |
| appropriate specimens | 0.340334 |
| Zostavax vaccines | 0.371122 |
| Immunization Practices | 0.354957 |
| Advisory Committee | 0.334786 |
| immigrant child | 0.344006 |
| baby carethan hospitals | 0.4487 |
| immunization history | 0.360253 |
| immune-deficiency-associated polio | 0.345195 |
| complications increases | 0.327021 |
| differential diagnosis | 0.339346 |
| ACIP recommendation | 0.402314 |
| unusual illnesses | 0.334063 |
| herpes zoster vaccination | 0.512426 |
| adverse events | 0.432822 |
| birth defects | 0.451559 |
| appropriate treatment | 0.342908 |
| timely manner | 0.336065 |
| appropriate diagnostic tests | 0.463484 |
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Disease Detective: Francisco - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| Staffers | 0.452529 |
| hands | 0.433413 |
| extracurricular activities | 0.599985 |
| deck | 0.433435 |
| West African airports | 0.755624 |
| American people | 0.583019 |
| Ebola outbreak | 0.857049 |
| Francisco | 0.557857 |
| Disease Control | 0.625728 |
| different schools | 0.595347 |
| Mr. President. | 0.586021 |
| field work | 0.63102 |
| President Kennedy | 0.579705 |
| good place | 0.605113 |
| CDC Quarantine specialist | 0.919491 |
| ideas | 0.433202 |
| larger global effort | 0.751409 |
| community | 0.433152 |
| three-person CDC office | 0.885737 |
| Ebola | 0.90235 |
| Centers | 0.436602 |
| Puerto Rico | 0.60407 |
| United States | 0.600044 |
| Force | 0.432851 |
|
| Science | 0.4329 |
| Prevention | 0.436557 |
| African countries | 0.621442 |
| airport security | 0.594733 |
| Atlanta | 0.433709 |
| famous quote | 0.577338 |
| screen travelers | 0.608169 |
| Division | 0.432794 |
| man | 0.452394 |
| medical personnel | 0.598057 |
| little bits | 0.583366 |
| agency | 0.466144 |
| worthwhile cause | 0.597843 |
| team | 0.432559 |
| Ebola response | 0.811486 |
| best foot | 0.582002 |
| stakes | 0.439541 |
| border security agents | 0.756952 |
| NASA custodian | 0.618638 |
| airport workers | 0.594854 |
| risk | 0.432486 |
| time | 0.461107 |
| Emergency | 0.433767 |
| Global Migration Task | 0.77624 |
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Public Health Response to Commercial Airline Travel of aPerson with Ebola Virus Infection - United States, 2014 |
On January 23, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| CDC | 0.462742 |
| Ebola virus transmission | 0.49138 |
| public health authorities | 0.536398 |
| Ebola transmission | 0.561905 |
| uncertain risk groups | 0.372668 |
| Joanna J. Regan | 0.446298 |
| uncertain risk | 0.626745 |
| flight crew | 0.534399 |
| passengers | 0.940633 |
| 3-foot zone | 0.420907 |
| U.S. health care | 0.478514 |
| public health investigations | 0.376948 |
| symptoms | 0.413263 |
| flight crew interview | 0.369324 |
| Ebola airline contact | 0.589706 |
| Board list | 0.500394 |
| state public health | 0.385874 |
| airline contact investigation | 0.639427 |
| travel restrictions | 0.445543 |
| 3-foot contact zone | 0.443372 |
| symptomatic Ebola patients | 0.557372 |
| Ebola | 0.977279 |
| airline contact investigations | 0.765319 |
| Ebola-infected passengers | 0.396717 |
|
| Ebola virus infection | 0.748808 |
| commercial airline | 0.410334 |
| risk group | 0.612674 |
| Ebola illness | 0.433859 |
| local health department | 0.395625 |
| crew members | 0.770321 |
| CDC public health | 0.447654 |
| public health travel | 0.398134 |
| uncertain risk group | 0.545981 |
| health care workers | 0.465956 |
| flight crew members | 0.465695 |
| local health departments | 0.465243 |
| public health | 0.819397 |
| Ebola transmission dynamics | 0.492191 |
| health care worker | 0.693382 |
| commercial flights | 0.485979 |
| public health actions | 0.473485 |
| current Ebola epidemic | 0.55187 |
| flight attendants | 0.411022 |
| secondary cases | 0.410271 |
| local public health | 0.387536 |
| Ebola patient | 0.778792 |
| Ebola testing | 0.439337 |
| viral hemorrhagic fevers | 0.43472 |
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