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Centers for Disease Control and Prevention |
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Pregnant Women Need a Flu Shot! |
If you're pregnant, a flu shot is your best protection against serious illness from the flu. A flu shot can protect pregnant women, their unborn babies, and even the baby after birth. |
| prescription antiviral drugs | 0.288288 |
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| additional way | 0.295796 |
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| high risk | 0.254766 |
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| thimerosal-free influenza vaccine | 0.293538 |
| United States | 0.300903 |
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| grandparents | 0.223309 |
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| rigorous scientific research | 0.29 |
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| greater chance | 0.255663 |
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| safe way | 0.248092 |
| flu shots | 0.718341 |
| flu antibodies | 0.432491 |
| KB | 0.223042 |
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| everyday preventive actions | 0.284818 |
| sisters | 0.220606 |
| flu | 0.950233 |
| thimerosal-containing vaccines | 0.248526 |
| nasal spray vaccine | 0.303622 |
| flu shot | 0.703178 |
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| protective benefit | 0.252074 |
| short video | 0.259593 |
| close contacts | 0.301048 |
| flu season | 0.409593 |
| severe illness | 0.316788 |
| thimerosal-free flu shot | 0.456962 |
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Story Ideas - 2014 | CDC Online Newsroom | CDC |
Health related story ideas for journalists on the latest information, statistics, studies, and recommendations from CDC |
| preterm birth | 0.749813 |
| lasting harmful effects | 0.630246 |
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| cleft lip | 0.590878 |
| extra copy | 0.589444 |
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| risk factors | 0.670985 |
| greater risk | 0.597791 |
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| health problems | 0.669765 |
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| lap/shoulder seat belts | 0.593463 |
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| seat belt safety | 0.613033 |
| mosaic down syndrome | 0.600967 |
| United States | 0.753263 |
| primary seat belt | 0.666964 |
| high radon levels | 0.602334 |
| motor vehicle | 0.60436 |
| potential harm | 0.60412 |
| sudden death | 0.595992 |
| preterm birth rates | 0.698417 |
| health care | 0.631008 |
| public health | 0.615181 |
| common craniofacial defects | 0.587854 |
| strong risk factors | 0.585803 |
| National Prematurity Awareness | 0.629921 |
| cleft palate | 0.616366 |
| occupational groups | 0.627088 |
| asthma action plan | 0.596632 |
| worker seat belt | 0.6095 |
| high radon exposure | 0.598348 |
| people | 0.589162 |
| seat belt | 0.920195 |
| craniofacial defects | 0.690243 |
| Infant Death Syndrome | 0.63803 |
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Associations of American Indian children's screen-time behavior with parental television behavior, parental perceptions of children's screen time, and media-related resources in the home. |
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| media-related resources | 0.332097 |
| current study | 0.316565 |
| Bright Start | 0.306973 |
| screen time behavior | 0.232252 |
| television behavior | 0.206224 |
| parental bmi | 0.371984 |
| parental role | 0.228118 |
| children’s screen | 0.488336 |
| media-related household resources | 0.265489 |
| child screen | 0.207395 |
| child television time | 0.23106 |
| child’s television | 0.219704 |
| children | 0.628936 |
| American Indian children | 0.400995 |
| video game player | 0.502452 |
| Indian 4-year-old children | 0.20416 |
| young children | 0.22654 |
| obesity prevention | 0.216557 |
| VCR/DVD player | 0.376873 |
| behavior | 0.297067 |
| sedentary behavior | 0.232979 |
| Positive parental involvement | 0.211595 |
| Pine Ridge Reservation | 0.309532 |
|
| parental television watching | 0.747728 |
| younger children | 0.221747 |
| Parental role modeling | 0.215868 |
| television watching time | 0.704175 |
| body mass index | 0.297981 |
| Oglala Lakota youth | 0.214202 |
| parental body mass | 0.241419 |
| parental behavior | 0.230484 |
| relative socioeconomic status | 0.24277 |
| home | 0.204668 |
| parental roles | 0.20422 |
| parental perception | 0.33425 |
| parental daily television | 0.252495 |
| screen-time behavior | 0.24419 |
| parental demographic characteristics | 0.223235 |
| daily screen time | 0.211205 |
| television time | 0.254845 |
| screen time | 0.901407 |
| parental perceptions | 0.449944 |
| older children | 0.204107 |
| parental influence | 0.230545 |
| parents | 0.368364 |
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Centers for Disease Control and Prevention |
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Global Health - Bangladesh |
The Centers for Disease Control and Prevention (CDC) has been collaborating with the International Centre for Diarrheal Disease Research (ICDDRB) over the last 40 years – most recently to strengthen the country’s capacity to detect emerging infectious diseases and to evaluate new vaccines and other interventions. A strong collaboration between CDC and the Institute of Epidemiology Disease Control and Research (IEDCR) within the Bangladesh Ministry of Health and Family Welfare has further strengthened the country’s ability to detect and respond to disease threats. Since 2002, a CDC medical epidemiologist has led the Program on Infectious Diseases and Vaccine Sciences at ICDDRB. |
| country | 0.344364 |
| poultry workers | 0.546479 |
| endorsement | 0.372122 |
| infectious diseases | 0.858787 |
| investigations | 0.339361 |
| sites | 0.363896 |
| training | 0.344052 |
| capacity | 0.350962 |
| Detection Center | 0.561213 |
| Content source | 0.538979 |
| HHS | 0.378639 |
| government | 0.339231 |
| Notice | 0.347256 |
| avian influenza surveillance | 0.841565 |
| public health professionals | 0.733934 |
| Download Overview Fact | 0.772822 |
| Dhaka City Live | 0.775649 |
| short course | 0.535106 |
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| CDC Global Disease | 0.958545 |
| trainings | 0.38233 |
| Bangladesh | 0.64971 |
| national influenza surveillance | 0.84338 |
| interventions | 0.365314 |
| non-federal site | 0.587757 |
| partners | 0.34391 |
| response | 0.340612 |
| collaboration | 0.34029 |
| years—most | 0.344505 |
| district | 0.338471 |
| tertiary care hospitals | 0.77363 |
| rapid detection | 0.559585 |
| employees | 0.336985 |
| Bird Markets | 0.539534 |
| Sheet | 0.339945 |
| acute disease outbreak | 0.795615 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0315 |
Recent legislation requires schools to provide free drinking water in food service areas (FSAs). Our objective was to describe access to water at baseline and student water intake in school FSAs and to examine barriers to and strategies for implementation of drinking water requirements. |
| high school | 0.411449 |
| wellness policies | 0.534294 |
| State School Water | 0.460813 |
| school wellness policies | 0.412344 |
| free drinking water | 0.780832 |
| School Water Policy | 0.463317 |
| free bottled water | 0.401968 |
| school drinking water | 0.525912 |
| poor drinking water | 0.427602 |
| water dispensers | 0.406698 |
| school | 0.639975 |
| alternative drinking water | 0.48067 |
| food service | 0.597258 |
| drinking water requirements | 0.583195 |
| school FSAs | 0.491483 |
| food service areas | 0.565455 |
| school FSA water | 0.420693 |
| public schools | 0.432775 |
| drinking water quality | 0.448433 |
| school food service | 0.441582 |
| student water consumption | 0.406429 |
| California | 0.42961 |
| school type | 0.411098 |
| study participants | 0.403458 |
|
| schools | 0.654953 |
| Bay Area | 0.485021 |
| new water requirements | 0.402906 |
| appealing water delivery | 0.424819 |
| student water intake | 0.502271 |
| high schools | 0.397091 |
| study | 0.407349 |
| drinking water provision | 0.497605 |
| bottled water | 0.465431 |
| drinking water delivery | 0.436721 |
| students | 0.458152 |
| California public schools | 0.41268 |
| Bay Area schools | 0.406679 |
| water intake | 0.548138 |
| drinking water | 0.96408 |
| free water | 0.59349 |
| new school drinking | 0.41164 |
| drinking water policies | 0.484533 |
| drinking water source | 0.443455 |
| drinking water sources | 0.486728 |
| San Francisco | 0.438191 |
| drinking water access | 0.593654 |
| water delivery systems | 0.535702 |
| drinking water availability | 0.473428 |
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Preventing Chronic Disease | Do Neighborhoods Make People Active, or Do People Make Active Neighborhoods? Evidence from a Planned Community in Austin, Texas - CDC |
Whether patterns of physical activity in different communities can be attributed to the built environment or instead reflect self-selection is not well understood. The objective of this study was to examine neighborhood preferences and behavior-specific physical activity among residents who moved to a new urbanist-designed community. |
| transport-related physical activity | 0.487345 |
| Mokhtarian PL | 0.471452 |
| study | 0.46555 |
| total recreational activity | 0.454114 |
| high-activity group | 0.607361 |
| high-activity groups | 0.491564 |
| pre-move physical activity | 0.537835 |
| middle- activity groups | 0.455677 |
| previous neighborhood | 0.459072 |
| physical activity behaviors | 0.503939 |
| post-move physical activity | 0.472855 |
| physical activity questionnaire | 0.498395 |
| neighborhood characteristics | 0.486185 |
| international physical activity | 0.483356 |
| total physical activity | 0.556217 |
| low-activity group | 0.618198 |
| travel behavior | 0.462786 |
| Prev Med | 0.456755 |
| recreational physical activity/wk | 0.47045 |
| physical activity changes | 0.479326 |
| previous neighborhood preferences | 0.455441 |
| residential neighborhood type | 0.478323 |
| behavior-specific physical activity | 0.520965 |
|
| Neighborhood Physical Activity | 0.509763 |
| influence physical activity | 0.462362 |
| post-move neighborhood preferences | 0.458932 |
| Mueller | 0.457611 |
| current physical activity | 0.466113 |
| min/wk high-activity group | 0.451724 |
| total physical activity/wk | 0.470959 |
| greater physical activity | 0.466181 |
| neighborhood preferences | 0.51671 |
| low-activity groups | 0.453004 |
| neighborhood physical structure | 0.465653 |
| physical activity | 0.924267 |
| middle-activity group | 0.49066 |
| physical activity scores | 0.471475 |
| vigorous-intensity physical activity | 0.480892 |
| recreational facilities | 0.480732 |
| neighborhood features | 0.480532 |
| physical activity level | 0.494307 |
| recreational physical activity | 0.475174 |
| CrossRef | 0.453214 |
| neighborhood | 0.57248 |
| physical activity time | 0.471803 |
| physical activity behavior | 0.464737 |
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Announcement: National Fall Prevention Awareness Day -September 23, 2015 |
Annually in the United States, 2.5 million persons aged ?65 years are treated in emergency departments for injuries from falls, resulting in $34 billion in direct medical costs (1). Given these costs, the aging U. |
| healthcare providers | 0.667716 |
| endorsement | 0.568613 |
| STEADI modules | 0.663518 |
| United States | 0.830154 |
| injuries | 0.5505 |
| fall prevention | 0.79611 |
| original MMWR paper | 0.761257 |
| U.S. Government Printing | 0.756595 |
| Human Services | 0.752577 |
| clinical practice | 0.653812 |
| Superintendent | 0.526275 |
| older persons | 0.66226 |
| MMWR HTML versions | 0.767065 |
| U.S. Department | 0.748702 |
| MMWR readers | 0.653532 |
| character translation | 0.638287 |
| major risk | 0.673726 |
| electronic PDF version | 0.75667 |
| National Fall Prevention | 0.786539 |
| Aging | 0.53087 |
| health care providers | 0.798414 |
| additional falls | 0.666272 |
| format errors | 0.641053 |
| incorporate fall prevention | 0.793055 |
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| direct medical costs | 0.976141 |
| modifiable risk factors | 0.79885 |
| clinical guidelines | 0.657007 |
| Additional information | 0.657056 |
| White House Conference | 0.79184 |
| effective interventions | 0.670059 |
| Contact GPO | 0.673924 |
| 5-year period | 0.663054 |
| typeset documents | 0.647862 |
| fall death rates | 0.821833 |
| trade names | 0.646473 |
| commercial sources | 0.646357 |
| continuing education | 0.654299 |
| official text | 0.636378 |
| emergency departments | 0.662994 |
| Free online training | 0.784269 |
| U.S. population | 0.672987 |
| current prices | 0.640549 |
| non-CDC sites | 0.645143 |
| GE Centricity | 0.672671 |
| original paper copy | 0.748161 |
| electronic conversions | 0.640539 |
| electronic health record | 0.803754 |
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Centers for Disease Control and Prevention |
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Radiological Exposure Device (RED) | Infographic |
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Centers for Disease Control and Prevention |
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Public Health 101|CDC |
Learn more about basic concepts of public health |
| comments section | 0.634513 |
| PDF version | 0.631494 |
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| download | 0.522494 |
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| introduction | 0.525521 |
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| set | 0.52558 |
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| science | 0.525026 |
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Primary Prevention and Public Health Strategies to Prevent Neonatal Abstinence Syndrome |
Primary Prevention and Public Health Strategies to Prevent Neonatal Abstinence Syndrome |
| Health Grand Rounds | 0.971201 |
| NAS | 0.783037 |
| effective prevention strategies | 0.488158 |
| MPH | 0.331349 |
| Birth Defects | 0.479959 |
| CDC Guideline | 0.375013 |
| Susan Laird | 0.336261 |
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| additional care | 0.356883 |
| pregnant women | 0.619801 |
| Health Promotion | 0.381545 |
| healthcare spending | 0.357828 |
| prescription drugs | 0.530294 |
| MD | 0.307739 |
| Health Scientist | 0.375486 |
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| National Center | 0.476656 |
| proper care | 0.357061 |
| Yale University School | 0.449908 |
| Stephen W. Patrick | 0.453084 |
| Kimberly A. Yonkers | 0.462329 |
| Communications Director | 0.34951 |
| preconception health care | 0.550065 |
| Public Health Grand | 0.529827 |
| Cheryl S. Broussard | 0.470661 |
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| Federal Policies | 0.334426 |
| Vanderbilt University | 0.334306 |
| Developmental Disabilities | 0.337624 |
| treatment | 0.275185 |
| Public Health | 0.781395 |
| United States | 0.512441 |
| Reproductive Health | 0.3831 |
| babies experience withdrawal | 0.513579 |
| Wanda Barfield | 0.363195 |
| Prescribing Opioids | 0.349294 |
| Deputy Scientific Director | 0.45523 |
| Health Policy | 0.371247 |
| U.S. Public Health | 0.516479 |
| Chronic Pain | 0.328011 |
| Neonatal Abstinence Syndrome | 0.991967 |
| local partners | 0.349249 |
| expectant mother | 0.352472 |
| Chronic Disease Prevention | 0.469504 |
| recent initiatives | 0.347483 |
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| better policies | 0.348272 |
| NAS Prevention | 0.555754 |
| John Iskander | 0.344222 |
| Assistant Professor | 0.33135 |
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