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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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QuickStats: Patient Visits to Physician Offices and Outpatient Departments, by Payment Source - United States, 2009 |
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. |
| mmwrq@cdc.gov. | 0.407276 |
| different payment source | 0.873068 |
| endorsement | 0.283584 |
| Alternate Text | 0.386555 |
| Human Services | 0.520364 |
| assistive technology | 0.419945 |
| MMWR HTML versions | 0.51797 |
| U.S. Department | 0.500498 |
| identification | 0.230992 |
| payment source pattern | 0.868934 |
| electronic PDF version | 0.510673 |
| e-mail | 0.271681 |
| private insurance | 0.848346 |
| Medicaid | 0.369219 |
| Contact GPO | 0.407332 |
| patients | 0.320119 |
| commercial sources | 0.384361 |
| hospital outpatient department | 0.919725 |
| current prices | 0.374122 |
| original paper copy | 0.501693 |
| outpatient departments | 0.80758 |
| clinics | 0.267104 |
| United States | 0.393153 |
| original MMWR paper | 0.511463 |
|
| U.S. Government Printing | 0.510667 |
| Superintendent | 0.233432 |
| assistance | 0.236307 |
| title | 0.234191 |
| MMWR readers | 0.383268 |
| character translation | 0.374782 |
| file | 0.236515 |
| Persons | 0.236633 |
| shows patient visits | 0.699564 |
| format errors | 0.373698 |
| Medicare | 0.36785 |
| subject line | 0.402904 |
| Health | 0.256212 |
| typeset documents | 0.380699 |
| trade names | 0.384497 |
| ambulatory care | 0.601406 |
| official text | 0.36926 |
| doctor | 0.266601 |
| non-CDC sites | 0.378908 |
| physician offices | 0.705646 |
| report | 0.234167 |
| information | 0.23654 |
| Accommodation | 0.234215 |
| electronic conversions | 0.369661 |
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Food Safety - CDC Works For You 24/7 |
CDC and Food Safety |
| foodborne diseases | 0.926579 |
| Salmonella | 0.391172 |
| new technology | 0.369827 |
| fewer problems | 0.364627 |
| raw cookie dough | 0.411112 |
| beef processing plants | 0.413813 |
| U.S. Department | 0.364116 |
| unique DNA | 0.36438 |
| Safety Modernization Act | 0.529953 |
| Disease Control | 0.377109 |
| FoodNet | 0.366884 |
| nationwide network | 0.367336 |
| food manufacturers | 0.384759 |
| U.S. Food | 0.384551 |
| foodborne sickness | 0.531481 |
| CDC information | 0.420981 |
| contaminated foods | 0.386438 |
| food contamination | 0.381998 |
| food-related germs | 0.378534 |
| Foodborne Diseases Active | 0.635382 |
| Vibrio infections | 0.419036 |
| report card | 0.418335 |
| yield other information | 0.366174 |
| Health departments | 0.363321 |
|
| public health laboratories | 0.408118 |
| advanced molecular detection | 0.41004 |
| world-class expertise | 0.372636 |
| fingerprint Salmonella | 0.386192 |
| laboratory scientists | 0.370296 |
| Drug Administration | 0.365313 |
| ground beef | 0.41146 |
| Food workers | 0.38275 |
| new steps | 0.371675 |
| particular food | 0.390471 |
| Cleaner slaughter methods | 0.413483 |
| Food Code | 0.382943 |
| new food safety | 0.438361 |
| federal partners | 0.366246 |
| food production | 0.380003 |
| landmark laws | 0.365255 |
| new foodborne disease | 0.565111 |
| CDC disease detectives | 0.53324 |
| egg safety | 0.36868 |
| people | 0.411613 |
| Food Safety Modernization | 0.53502 |
| food safety | 0.62191 |
| Diseases Active Surveillance | 0.529532 |
| Active Surveillance Network | 0.52479 |
|
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During a Storm'Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| temperatures | 0.458116 |
| winter storms | 0.788413 |
| stages | 0.371516 |
|
| challenge | 0.397336 |
| winter storm | 0.722421 |
|
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Centers for Disease Control and Prevention |
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CDC to present new national estimates and state-by-state data on healthcare-associated infections in U.S. hospitals | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Safe Care Campaign | 0.965443 |
| annual report | 0.371853 |
| medical complications | 0.343801 |
| healthcare-associated infections | 0.352334 |
| state-specific healthcare-associated infection | 0.713036 |
| Healthcare Quality Promotion | 0.954919 |
| press office | 0.32183 |
| contact CDC | 0.483992 |
| U.S. DEPARTMENT | 0.324532 |
| Michael Bell | 0.365243 |
| family members | 0.339572 |
| contact Melissa Brower | 0.543685 |
| healthcare-associated infection estimates | 0.691913 |
|
| healthcare-associated infection | 0.816953 |
| prevention progress | 0.366197 |
| Executive Director | 0.347504 |
| Medicine article | 0.373849 |
| CDC’s Division | 0.560734 |
| public affairs officer | 0.510233 |
| Deputy Director | 0.382156 |
| new publications | 0.372714 |
| New England Journal | 0.602505 |
| Armando Nahum | 0.442725 |
| visit http://www.cdc.gov/museum/visitor.htm | 0.324573 |
| HUMAN SERVICES | 0.323884 |
| Victoria Nahum | 0.424575 |
|
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Infection Prevention and Control Recommendations for Hospitalized Patients with Known or Suspected Ebola Hemorrhagic Fever in U.S. Hospitals |
null |
| infectious diseases | 0.69314 |
| patient care area | 0.773502 |
| alcohol-based hand rubs | 0.756086 |
| Bilevel Positive Airway | 0.642531 |
| face piece respirators | 0.63944 |
| unprotected mucous membranes | 0.661519 |
| multidrug resistant organisms | 0.64872 |
| environmental infection control | 0.803861 |
| environmental surfaces | 0.660192 |
| infectious agents | 0.675682 |
| CDC Ebola Virus | 0.656146 |
| personal protective equipment | 0.657668 |
| ebola virus disease | 0.81579 |
| patient care | 0.877921 |
| non-disposable medical equipment | 0.670818 |
| potentially exposed HCP | 0.722099 |
| environmental surface cleaning | 0.650449 |
| medical supplies | 0.669511 |
| guidance healthcare personnel | 0.727869 |
| EVD | 0.724968 |
| HCP | 0.727714 |
| specific infectious diseases | 0.692547 |
| hand hygiene | 0.761955 |
| aerosol-generating procedures | 0.718825 |
| routine infection control | 0.677357 |
|
| Infection Isolation Room | 0.674434 |
| healthcare personnel | 0.929247 |
| infectious material | 0.672824 |
| PPE | 0.654646 |
| certain medical procedures | 0.683644 |
| essential daily services | 0.637305 |
| additional infection control | 0.698988 |
| infection control | 0.849105 |
| mucous membranes | 0.665695 |
| Single patient room | 0.716739 |
| patient treatment area | 0.692548 |
| U.S. healthcare settings | 0.688465 |
| medical service personnel | 0.697494 |
| potentially infectious material | 0.663439 |
| routine IPC practices | 0.661557 |
| available laboratory information | 0.646292 |
| prompt medical evaluation | 0.648897 |
| infection control measures | 0.818053 |
| postexposure management services | 0.638867 |
| healthcare setting | 0.765383 |
| home healthcare personnel | 0.717156 |
| healthcare settings | 0.904725 |
| hospital staff caring | 0.666594 |
| essential diagnostic evaluation | 0.645397 |
|
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Teen Drivers: Get the Facts | Motor Vehicle Safety | CDCInjury Center |
null |
| hazardous situations.7 Teens | 0.477832 |
| especially high risk | 0.485962 |
| teen crashes | 0.515782 |
| young people ages | 0.474551 |
| adult driver crash | 0.471207 |
| motor vehicle death | 0.495359 |
| Youth Risk Behavior | 0.473075 |
| primary enforcement | 0.482114 |
| older drivers | 0.47413 |
| driver primary provision | 0.610623 |
| driver licensing practices | 0.47006 |
| driver licensing programs | 0.470946 |
| crash risk | 0.472747 |
| seat belt laws | 0.572837 |
| teen drivers | 0.586122 |
| State seat belt | 0.541173 |
| overall crashes | 0.481356 |
| secondary seat belt | 0.554325 |
| male teenage passengers | 0.481449 |
| teen drivers ages | 0.527175 |
| drivers | 0.599102 |
| seat belts | 0.540465 |
| motor vehicle injuries | 0.532252 |
| seat belt provision | 0.54181 |
| teen motor vehicle | 0.527051 |
|
| passenger vehicle crashes | 0.528389 |
| primary seat belt | 0.565105 |
| Accident Analysis | 0.516362 |
| 16-to 19-year-old drivers | 0.475114 |
| teens | 0.487326 |
| motor vehicle crash | 0.493177 |
| unsupervised teen drivers | 0.516608 |
| United States ages | 0.476062 |
| driver licensing | 0.512581 |
| teenage drivers | 0.492703 |
| passenger safety law | 0.469476 |
| male drivers | 0.488101 |
| risky driving behavior | 0.523366 |
| teen passengers | 0.487739 |
| high risk conditions | 0.472654 |
| secondary law | 0.528718 |
| fatal crashes | 0.581501 |
| high school students | 0.585378 |
| young drivers | 0.509916 |
| seat belt.12 | 0.48166 |
| seat belt | 0.88662 |
| drinking age laws | 0.466034 |
| motor vehicle crashes | 0.947758 |
| seat belt law | 0.753454 |
|
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Notes from the Field: A Cluster of Ocular Syphilis Cases -Seattle, Washington, and San Francisco, California,2014-2015 |
Sophie Woolston, MD1; Stephanie E. Cohen, MD2,3; Robyn Neblett Fanfair, MD4; Sarah C. Lewis, MD3; Christina M. |
| positive CSF VDRL | 0.460773 |
| laboratory-confirmed syphilis | 0.564239 |
| 6HIV/STD Control Program | 0.39337 |
| San Francisco Department | 0.401461 |
| titer range | 0.407114 |
| ocular syphilis | 0.901556 |
| possible ocular syphilis | 0.631165 |
| Francisco Department | 0.401722 |
| ischemic optic neuropathy | 0.396687 |
| early syphilis | 0.540388 |
| west coast health | 0.404865 |
| secondary syphilis | 0.519288 |
| Median age | 0.446542 |
| positive serum RPR | 0.417424 |
| Robyn Neblett Fanfair | 0.519091 |
| aqueous crystalline penicillin | 0.510176 |
| Stephanie E. Cohen | 0.411138 |
| HIV-RNA lab data | 0.399002 |
| early latent syphilis | 0.756912 |
| patients | 0.54349 |
| symptomatic ocular syphilis | 0.658304 |
| ocular complaints | 0.417104 |
| venereal disease research | 0.405956 |
| careful neurologic exam | 0.393023 |
|
| false negative RPR | 0.406768 |
| female commercial sex | 0.400759 |
| human immunodeficiency virus | 0.40542 |
| immediate ophthalmologic evaluation | 0.405665 |
| median HIV-RNA | 0.437618 |
| Public Health | 0.436274 |
| 2San Francisco Department | 0.394845 |
| contact Sara E. | 0.392631 |
| local health department | 0.398787 |
| ocular symptoms | 0.520319 |
| CSF analysis | 0.405053 |
| ocular syphilis cases | 0.715264 |
| Ophthalmologic examinations | 0.426713 |
| mutually monogamous relationship | 0.395358 |
| CSF results | 0.399887 |
| rapid plasma reagin | 0.399599 |
| Christina M. Marra | 0.415172 |
| San Francisco | 0.403483 |
| sexually active persons | 0.393085 |
| late latent syphilis | 0.691995 |
| vision loss | 0.415551 |
| normal CSF examination | 0.437234 |
| King County | 0.53155 |
| permanent visual loss | 0.395915 |
|
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