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Free Tools to Track Your Child's Development | CDC Features |
Use CDC’s Milestone Checklists to track your child’s development and share your child’s progress with the doctor at every check-up. |
| milestone checklists | 0.826379 |
| CDC | 0.563231 |
| sign | 0.526068 |
| areas | 0.526092 |
| acts | 0.555679 |
| Act Early. | 0.62808 |
| Print | 0.525255 |
| real difference | 0.638338 |
| developmental concerns | 0.631759 |
| check-up | 0.587095 |
| talk | 0.545624 |
| links | 0.52543 |
| specific milestones | 0.700917 |
| potential | 0.526042 |
| height | 0.529591 |
| health professionals | 0.627341 |
| developmental milestone checklists | 0.789621 |
| koala | 0.526406 |
| booklets | 0.551064 |
| learns | 0.571408 |
| weight | 0.527825 |
| birth | 0.5278 |
| early intervention services | 0.731048 |
| early development | 0.616408 |
| developmental problem | 0.647244 |
|
| child | 0.961937 |
| parents | 0.5482 |
| book | 0.57052 |
| fact sheets | 0.720538 |
| children ages | 0.623634 |
| good news | 0.644318 |
| ways | 0.528931 |
| teacher | 0.52439 |
| share | 0.608239 |
| education providers | 0.627116 |
| care provider | 0.629278 |
| key | 0.526983 |
| program offers | 0.627984 |
| koalas | 0.529543 |
| Me-It | 0.524222 |
| customizable materials | 0.627094 |
| doctor | 0.641842 |
| Signs | 0.524103 |
| moves | 0.559911 |
| speaks | 0.560152 |
| progress | 0.554705 |
| growth | 0.528892 |
| Learn | 0.524115 |
| Joey | 0.524097 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Increase in Vibrio parahaemolyticusInfections Associated with Consumption of Atlantic Coast Shellfish- 2013 |
Anna E. Newton, MPH1, Nancy Garrett1, Steven G. Stroika1, Jessica L. |
| Atlantic Coast states | 0.441999 |
| Atlantic Coast | 0.924436 |
| single harvest area | 0.599604 |
| United States | 0.759897 |
| illnesses | 0.45705 |
| larger area | 0.398057 |
| U.S. Government Printing | 0.389501 |
| original MMWR paper | 0.383539 |
| Vibrio parahaemolyticus | 0.474072 |
| Human Services | 0.371711 |
| foodborne Vp cases | 0.498868 |
| additional illnesses | 0.376611 |
| MMWR HTML versions | 0.376219 |
| U.S. Department | 0.369676 |
| harvest areas | 0.676367 |
| traceback information | 0.414342 |
| Atlantic Coast harvest | 0.441913 |
| U.S. Atlantic Coast | 0.571001 |
| shellfish authorities | 0.434393 |
| electronic PDF version | 0.379763 |
| Vibrio Surveillance | 0.362562 |
| Oyster Bay Harbor | 0.395049 |
| state health departments | 0.424941 |
| Vp | 0.549124 |
|
| ill persons | 0.511622 |
| health departments | 0.504894 |
| implicated harvest areas | 0.473102 |
| local health departments | 0.387688 |
| shows Vibrio parahaemolyticus | 0.435676 |
| New York | 0.414034 |
| laboratory-confirmed illnesses | 0.407762 |
| undercooked shellfish | 0.684298 |
| special culture media | 0.383474 |
| annual average number | 0.384299 |
| PNW strain | 0.558283 |
| shellfish-associated diarrheal illness | 0.413271 |
| indistinguishable strain | 0.470786 |
| raw shellfish | 0.460084 |
| shellfish | 0.692055 |
| untreated local seawater | 0.402257 |
| Atlantic Coast shellfish | 0.565036 |
| domestically acquired foodborne | 0.419141 |
| Vp infection | 0.398972 |
| citrate bile salts | 0.388076 |
| original paper copy | 0.371974 |
| Shellfish Sanitation Conference | 0.524175 |
| pulsed-field gel electrophoresis | 0.401379 |
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Centers for Disease Control and Prevention |
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Emergency Preparedness and You |
Get a Kit. Make a Plan. Be Informed. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Distracted Driving in the United States and Europe | CDC Features |
New CDC study shows higher percentage of U.S. drivers distracted behind the wheel compared to several European countries. |
| positive example | 0.399785 |
| brakes | 0.244835 |
| CDC study | 0.422376 |
| GDL | 0.245558 |
| makes crashes | 0.498526 |
| problem | 0.244197 |
| safe driver | 0.403896 |
| road | 0.351633 |
| in-vehicle technologies | 0.424206 |
| higher percentage | 0.4282 |
| laws | 0.274238 |
| family commit | 0.405142 |
| ground rules | 0.413624 |
| text messages | 0.61887 |
| text message | 0.44954 |
| family pledge | 0.403594 |
| steps | 0.244009 |
| exit | 0.246753 |
| Belgium | 0.243889 |
| Model safe behavior | 0.575977 |
| good driving habits | 0.692264 |
| Germany | 0.24386 |
| activity | 0.243135 |
| United States | 0.923733 |
| distractions | 0.247798 |
|
| cell phone | 0.946112 |
| emails | 0.28569 |
| Netherlands | 0.243839 |
| navigation systems | 0.408676 |
| car | 0.293582 |
| U.S. drivers ages | 0.613659 |
| France | 0.243874 |
| email | 0.244261 |
| main types | 0.417849 |
| one-third | 0.250916 |
| mind | 0.243323 |
| distraction-free driving | 0.594061 |
| safe driving | 0.422959 |
| texting | 0.355278 |
| United Kingdom | 0.58615 |
| European countries | 0.618954 |
| teen | 0.271845 |
| people | 0.366206 |
| young drivers | 0.404262 |
| Spain | 0.282094 |
| texts | 0.243496 |
| Driver Licensing | 0.395935 |
| distracted driver | 0.778538 |
| motor vehicle crashes | 0.655563 |
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Centers for Disease Control and Prevention |
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Race/Ethnicity, Children 6 Months to 17 years - 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, Race/Ethnicity, Children 6 Months to 17 years - CDC |
| Native Hawaiian | 0.401365 |
| Pacific Islander | 0.446442 |
| data | 0.357228 |
| report Final estimates | 0.444931 |
| United States | 0.21682 |
| influenza vaccination coverage | 0.639057 |
| methods | 0.208791 |
| U.S. civilian population | 0.376287 |
| Risk Factor Surveillance | 0.412507 |
| recent influenza seasons | 0.361491 |
| seasonal influenza vaccination | 0.988562 |
| Monovalent Vaccination Coverage | 0.471594 |
| vaccination coverage | 0.686144 |
| Alaska Native | 0.39907 |
|
| Excludes U.S. territories | 0.41243 |
| Additional estimates | 0.202163 |
| estimates | 0.503073 |
| high risk conditions | 0.229811 |
| National Immunization Survey | 0.353357 |
| vaccination periods | 0.262259 |
| influenza season | 0.420813 |
| H1N1 Flu Survey | 0.380291 |
| BRFSS adult estimates | 0.29591 |
| Coverage estimates | 0.218992 |
| Confidence Interval | 0.224321 |
| Data Source | 0.312659 |
| vaccination recommendations | 0.266648 |
| vaccination data | 0.297583 |
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Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Table L1 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by State or Territory |
BRFSS 2008 - Table L1 Lifetime Asthma Prevalence Rate and Prevalence by State or Territory |
| CI | 0.425195 |
| normal approximation | 0.672371 |
| values | 0.373489 |
| standard error | 0.638235 |
| **U.S. Total | 0.622601 |
| territories | 0.394222 |
| confidence interval | 0.975978 |
|
| small sample size | 0.794822 |
| caution | 0.40581 |
| District | 0.356746 |
| Notes | 0.36255 |
| binomial distribution | 0.663095 |
| 50 states | 0.597809 |
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Centers for Disease Control and Prevention |
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Podcasts'Publications and Products'DHDSP'CDC |
View podcasts and webinars related to heart disease and stroke prevention. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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MMWR News Synopsis: March 13, 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. |
| median death rate | 0.743125 |
| influenza infection | 0.665222 |
| HIV-infected blood | 0.663484 |
| female partners | 0.636218 |
| working-age adults | 0.634823 |
| newly infected partner | 0.764938 |
| mucus membrane | 0.680358 |
| sexual activity | 0.642677 |
| barrier methods | 0.631603 |
| National Center | 0.64719 |
| direct sexual contact | 0.76037 |
| health risk behavior | 0.746957 |
| personal protective equipment | 0.714654 |
| TB Prevention | 0.650043 |
| Social Services | 0.629287 |
| Viral Hepatitis | 0.641235 |
| unique circumstances | 0.635319 |
| Food Services | 0.629446 |
| blood-contaminated bodily fluids | 0.772575 |
| certain industries | 0.708644 |
| menstrual blood | 0.651415 |
| Excessive alcohol | 0.792692 |
| Territorial Epidemiologists | 0.638099 |
| CDC Media Relations | 0.717007 |
|
| relatively low proportions | 0.726784 |
| United States | 0.634955 |
| potential life | 0.628523 |
| novel influenza | 0.667719 |
| 2009-2010 influenza season | 0.766613 |
| influenza vaccination programs | 0.772378 |
| risk levels | 0.632466 |
| female partner | 0.648473 |
| discordant couple | 0.643217 |
| preventable death | 0.760499 |
| excessive drinking | 0.920318 |
| HIV transmission | 0.680508 |
| Sara D. Ramey | 0.742607 |
| American Indians/Alaska Natives | 0.722419 |
| sexual transmission | 0.756108 |
| working-aged adults | 0.629656 |
| highest death rate | 0.721987 |
| HIV risk exposures | 0.782702 |
| uninfected partner | 0.650213 |
| influenza vaccination. Employers | 0.768904 |
| Community Preventive Services | 0.737665 |
| mucus membranes | 0.664115 |
| HIV-infected partner | 0.680075 |
| sramey@cste.org | 0.634753 |
|
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Centers for Disease Control and Prevention |
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Smoke-Free Policies in Multiunit Housing: Smoking Behaviorand Reactions to Messaging Strategies in Support or inOpposition |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| smoke-free MUH policy | 0.422542 |
| personal smoke-free homes | 0.286729 |
| public smoke-free policies | 0.299161 |
| current smokers | 0.259911 |
| current cigarette smokers | 0.242371 |
| personal smoke-free policies | 0.352609 |
| Disease Control | 0.23558 |
| smoke-free building | 0.294121 |
| MUH complexes | 0.332391 |
| smoking status | 0.238979 |
| tobacco | 0.271396 |
| secondhand smoke | 0.236722 |
| personal smoke-free home | 0.29313 |
| smoke-free complex | 0.273593 |
| smoke-free public policies | 0.319944 |
| Global Market Insite | 0.235179 |
| private smoke-free policies | 0.30208 |
| smoke-free policy implementation | 0.278144 |
| restrictive smoke-free policies | 0.299135 |
| smoke-free home rules | 0.298781 |
| Smoke-free laws | 0.272613 |
| complete smoke-free policies | 0.30602 |
| MUH smoke-free policies | 0.39908 |
| complete MUH policies | 0.351917 |
| messages | 0.23969 |
|
| Tobacco Free Kids | 0.258991 |
| MUH smoking policies | 0.351384 |
| smoke-free home policies | 0.325794 |
| affordable MUH | 0.320678 |
| United States | 0.250062 |
| racial/ethnic minority populations | 0.251896 |
| smoke-free areas | 0.277894 |
| smoke-free muh policies | 0.973798 |
| complete policies | 0.243227 |
| smoke-free policies | 0.420042 |
| multiunit housing | 0.237859 |
| MUH residents | 0.406463 |
| individual rights | 0.263227 |
| adult MUH residents | 0.330486 |
| comprehensive smoke-free policies | 0.293192 |
| smoke-free MUH complex | 0.388328 |
| health | 0.242109 |
| smoke-free restaurants | 0.269829 |
| complete smoke-free MUH | 0.429547 |
| racial/ethnic minorities | 0.241496 |
| tobacco control policies | 0.25531 |
| Smoke-free rules | 0.27124 |
| Mellman Group | 0.240932 |
| restrictive smoke-free MUH | 0.417966 |
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Centers for Disease Control and Prevention |
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Airport Noise and Self-Reported Sleep Insufficiency, UnitedStates, 2008 and 2009 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| sleep data collection | 0.329449 |
| sleep disturbance | 0.363077 |
| noise exposure zones | 0.557247 |
| insufficient sleep question | 0.346121 |
| environmental noise | 0.410238 |
| transportation noise | 0.307874 |
| Understanding Aircraft Noise | 0.312794 |
| ZIP Codes | 0.338094 |
| sleep duration | 0.331762 |
| sleep environments | 0.311758 |
| median household income | 0.47816 |
| Sleep Health Objective | 0.343969 |
| noise level | 0.300211 |
| self-reported insufficient sleep | 0.366639 |
| airport noise exposure | 0.959013 |
| BRFSS sleep measures | 0.341584 |
| frequent sleep insufficiency | 0.322549 |
| non-airport noise exposures | 0.313012 |
| Code-level noise exposure | 0.361029 |
| insufficient sleep | 0.5835 |
| Environmental noise exposure | 0.371455 |
| area-level noise contours | 0.327405 |
| Federal Aviation Administration | 0.357534 |
| noise levels | 0.349964 |
| noise data | 0.324456 |
|
| study | 0.315903 |
| Integrated Noise Model | 0.374667 |
| noise exposure levels | 0.402235 |
| United States | 0.353032 |
| aircraft noise exposure–annoyance | 0.312698 |
| noise exposure zone | 0.431464 |
| sleep sufficiency | 0.376699 |
| airport exposure noise | 0.370164 |
| airport noise exposures | 0.328092 |
| aircraft noise | 0.372532 |
| self-reported sleep sufficiency | 0.345484 |
| objective sleep data | 0.344796 |
| sleep variables | 0.303355 |
| noise exposure data | 0.420568 |
| sleep outcomes | 0.30286 |
| self-reported sleep insufficiency | 0.461508 |
| public health | 0.300412 |
| sleep quality | 0.298652 |
| obstructive sleep apnea | 0.329615 |
| Adequate sleep | 0.310646 |
| noise contours | 0.352652 |
| Healthy sleep | 0.308993 |
| ZIP Code | 0.358874 |
| Aviation-Related Noise Effects | 0.316651 |
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