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Centers for Disease Control and Prevention |
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Vaccination Coverage Among Children in Kindergarten - Errata: Vol. 61, No. 33 |
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. | 0.505438 |
| endorsement | 0.397421 |
| data | 0.355236 |
| Human Services | 0.648651 |
| assistive technology | 0.516097 |
| U.S. Department | 0.641572 |
| MMWR HTML versions | 0.620883 |
| school | 0.438955 |
| electronic PDF version | 0.608413 |
| e-mail | 0.3659 |
| total exemptions | 0.77129 |
| sentence | 0.336657 |
| Contact GPO | 0.512903 |
| Kindergarten | 0.331763 |
| commercial sources | 0.48232 |
| current prices | 0.471451 |
| Vaccination Coverage | 0.497823 |
| state immunization programs | 0.661331 |
| original paper copy | 0.602734 |
| difference | 0.370263 |
| page | 0.361748 |
| paragraph | 0.33148 |
| United States | 0.494787 |
| original MMWR paper | 0.613277 |
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| U.S. Government Printing | 0.607327 |
| Superintendent | 0.333939 |
| assistance | 0.334155 |
| title | 0.332117 |
| percentage points | 0.952332 |
| MMWR readers | 0.485293 |
| character translation | 0.471403 |
| file | 0.334385 |
| exemption levels | 0.502888 |
| Persons | 0.334513 |
| Children | 0.331763 |
| format errors | 0.47502 |
| largest decrease | 0.514881 |
| subject line | 0.496853 |
| Health | 0.358386 |
| typeset documents | 0.481957 |
| trade names | 0.482474 |
| official text | 0.468835 |
| non-CDC sites | 0.478372 |
| largest increase | 0.488383 |
| report | 0.363657 |
| information | 0.334412 |
| Accommodation | 0.332143 |
| electronic conversions | 0.468951 |
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Centers for Disease Control and Prevention |
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PanFlu Storybook - Finding A Cure, Mae McCullam Smith |
Finding A Cure, One of the most important challenges, for health communicators today, is helping the public to understand that a flu shot will not be readily available when the next pandemic strikes. Once the virus is identified, it will take several months to produce a vaccine. In 1918, in desperation, people tried a variety of methods to cure the sick —some practical and effective, others questionable and even amusing. |
| oranges | 0.312921 |
| city | 0.236237 |
| way home | 0.453551 |
| Philadelphia suburbs | 0.492062 |
| Pennsylvania | 0.255565 |
| Susan Van Vonno | 0.806849 |
| Samuel McCullam | 0.644694 |
| mother | 0.398514 |
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| Mae′s father | 0.499115 |
| coughing | 0.207413 |
| thud | 0.21186 |
| Mae McCullam Smith | 0.929316 |
| bus terminal | 0.473875 |
| sick family | 0.460125 |
| older brother | 0.51349 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0322 |
CDC - Wide Page example description goes here |
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Centers for Disease Control and Prevention |
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West Virginia: Using PRAMS Data to Improve Care for Women with Gestational Diabetes Success Story: Gestational Diabetes Mellitus - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
West Virginia: Using PRAMS Data to Improve Care for Women with Gestational Diabetes Success Story: Gestational Diabetes Mellitus, Pregnancy Risk Assessment Monitoring System |
| glucose levels | 0.657146 |
| state agencies | 0.572363 |
| GDM | 0.972697 |
| pregnant women | 0.645477 |
| pregnancy complication | 0.57975 |
| health care providers | 0.640103 |
| health care professionals | 0.643537 |
| thorough medical documentation | 0.629641 |
| proper care | 0.592789 |
| blood pressure | 0.632153 |
| data sources | 0.576784 |
| pilot program | 0.569411 |
| Gestational Diabetes Mellitus | 0.698675 |
| uncontrolled GDM | 0.769963 |
| multiple organ failure | 0.634122 |
| data quality | 0.630857 |
| postpartum care | 0.590466 |
| large infant | 0.576171 |
| hospital procedures | 0.569039 |
| women | 0.653597 |
| data validation | 0.581092 |
| WV women | 0.587173 |
| strengthen patient education | 0.62657 |
| Early detection | 0.577505 |
| West Virginia | 0.713871 |
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| policy changes | 0.568113 |
| gestational diabetes | 0.82829 |
| document follow-up visits | 0.644363 |
| pregnancy complications | 0.577638 |
| rapid rise | 0.570434 |
| data accuracy | 0.580031 |
| GDM follow-up procedures | 0.834918 |
| Better Data | 0.583627 |
| improve documentation | 0.576113 |
| GDM care process | 0.830256 |
| birth certificate | 0.568569 |
| 1-hour glucose test | 0.639148 |
| data collection forms | 0.633267 |
| 3-hour follow-up test | 0.654558 |
| department store gift | 0.621137 |
| follow-up care compliance | 0.662827 |
| maternal high blood | 0.639443 |
| future pregnancies | 0.577472 |
| infant jaundice | 0.578928 |
| Better Care | 0.58909 |
| hospital charts | 0.570948 |
| recurrent GDM | 0.763357 |
| follow-up care | 0.669702 |
| prenatal screening | 0.571501 |
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Key Findings: Long Term Outcomes in Children with Congenital Heart Disease |
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| healthcare providers | 0.281316 |
| Health Consortium | 0.272799 |
| Reefhuis J. Long | 0.325548 |
| developmental disability | 0.269848 |
| illnesses | 0.240756 |
| child’s life | 0.269402 |
| National Health Interview | 0.447567 |
| Prevention Study | 0.267217 |
| National Birth Defects | 0.370968 |
| unique collaboration | 0.263673 |
| Birth Defects Research | 0.370482 |
| health issues | 0.277584 |
| worse health | 0.361886 |
| medical doctor | 0.272736 |
| children | 0.373408 |
| technical assistance | 0.267013 |
| congenital heart disease | 0.904589 |
| CDC funds | 0.340524 |
| Attention-Deficit/Hyperactivity Disorder | 0.277769 |
| health conditions | 0.292577 |
| Term Outcomes | 0.267448 |
| autism spectrum disorder | 0.328973 |
| large studies | 0.267266 |
| Congenital Heart Public | 0.375676 |
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| developmental disabilities | 0.271471 |
| visit https://www.cdc.gov/ncbddd/heartdefects/ | 0.266266 |
| Birth Defects Study | 0.370621 |
| heart defects | 0.318366 |
| new study | 0.283058 |
| CDC researchers | 0.325654 |
| daily life | 0.281587 |
| Health Interview Survey | 0.450449 |
| State programs | 0.264841 |
| birth defects | 0.460466 |
| physical activity | 0.270875 |
| American Heart Association | 0.33735 |
| special equipment | 0.345083 |
| Health status | 0.282752 |
| healthcare services | 0.280993 |
| Atlanta Congenital Defects | 0.403874 |
| population-based state tracking | 0.323838 |
| ear infections | 0.270205 |
| prescription medication | 0.267355 |
| Evaluate Pregnancy | 0.266438 |
| CHD | 0.69306 |
| intellectual disability | 0.401745 |
| e.g. | 0.240342 |
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Communication Resources for Audiences in Sierra Leone |Ebola Hemorrhagic Fever | CDC |
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| PDF | 0.550097 |
| pages | 0.549598 |
| fever | 0.616503 |
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| Sierra Leone | 0.755327 |
| risk | 0.555461 |
| malaria | 0.643893 |
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Lead - Information for Parents |
Information for Parents |
| Fact sheet | 0.491334 |
| American Sign Language | 0.393237 |
| health care provider | 0.782528 |
| high levels | 0.395558 |
| consumer products | 0.237217 |
| blood lead test | 0.460881 |
| children’s exposure | 0.328667 |
| Poisoning Prevention Team | 0.412482 |
| PDF | 0.30417 |
| pregnant women | 0.215116 |
| poisoning prevention information | 0.670044 |
| children | 0.670116 |
| general lead poisoning | 0.486654 |
| KB | 0.330722 |
| naked eye | 0.24268 |
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| elevated blood lead | 0.462811 |
| young children | 0.25195 |
| higher risk | 0.219023 |
| Lead hazards | 0.308767 |
| lead-based paint | 0.235315 |
| possible lead exposure | 0.504339 |
| dangerous high-dose source | 0.437184 |
| different sources | 0.221264 |
| different pathways | 0.228047 |
| high lead level | 0.45747 |
| exposure sources | 0.278339 |
| home lead | 0.255109 |
| lead poisoning prevention | 0.889881 |
| lead exposure | 0.61648 |
| blood lead levels | 0.91423 |
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Cancer, the Flu, and You Feature |
Living with cancer increases your risk for complications from the flu. If you have cancer now or have had cancer in the past, you are at higher risk for complications from the seasonal flu or influenza, including hospitalization and death. |
| cancer treatment | 0.321751 |
| pneumococcal disease | 0.327036 |
| Flu-like symptoms | 0.335198 |
| cancer increases | 0.356846 |
| pneumococcal shots | 0.326011 |
| good immune response | 0.449553 |
| health care providers | 0.427385 |
| increased risk | 0.327689 |
| plan | 0.250059 |
| greater risk | 0.331746 |
| prescription medicines | 0.323317 |
| past | 0.251295 |
| antiviral medication | 0.400089 |
| cancer patients | 0.344708 |
| diseases | 0.223994 |
| history | 0.225142 |
| lymphatic form | 0.323365 |
| radiation therapy | 0.316983 |
| older people | 0.334344 |
| flu symptoms | 0.523018 |
| Good health habits | 0.410126 |
| influenza | 0.265072 |
| necessities | 0.22739 |
| infection | 0.2513 |
| death | 0.252291 |
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| vaccines | 0.22653 |
| hospital stay | 0.327065 |
| flu vaccine | 0.582255 |
| flu complications | 0.525224 |
| body’s ability | 0.326387 |
| close contact | 0.319677 |
| higher risk | 0.338234 |
| hospitalization | 0.230804 |
| antiviral drugs | 0.782676 |
| flu viruses | 0.514818 |
| people | 0.404504 |
| medical care | 0.32088 |
| flu | 0.910258 |
| fever-reducing medicine | 0.32961 |
| Flu Season | 0.542507 |
| doctor | 0.35356 |
| flu shot | 0.671761 |
| seasonal flu shot | 0.658189 |
| Immune defenses | 0.350147 |
| illness milder | 0.324723 |
| cancer | 0.521937 |
| risk | 0.343675 |
| information | 0.224652 |
| severe illness | 0.330789 |
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Obesity Prevention | Healthy Schools |
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| extra weight gain.7 | 0.529115 |
| p. S13-S16 | 0.50579 |
| Finegood DT | 0.518682 |
| obesity miss | 0.699889 |
| Bogalusa Heart Study | 0.503894 |
| global obesity pandemic | 0.730553 |
| Human Services | 0.56418 |
| Childhood Obesity Report | 0.754613 |
| excess body weight | 0.557427 |
| House Task Force | 0.592248 |
| U.S. Government Printing | 0.513299 |
| Cardiovascular risk factors | 0.504597 |
| normal weights.22 Â Missed | 0.507671 |
| White House Task | 0.592265 |
| obesity prevention | 0.764939 |
| obesity system map | 0.750676 |
| childhood obesity prevention | 0.7554 |
| risk factors | 0.555079 |
| overweight children | 0.523751 |
| body mass index | 0.623524 |
| National Academies Press | 0.508447 |
| comprehensive school-based approach | 0.518681 |
| medical care providers | 0.515468 |
| school-aged children | 0.558536 |
| middle school-aged children | 0.552448 |
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| physical health | 0.504259 |
| widely used screening | 0.515205 |
| p. | 0.602281 |
| et al. | 0.505819 |
| United States | 0.643747 |
| childhood overweight | 0.523061 |
| chronic health conditions | 0.542369 |
| energy balance | 0.510775 |
| Obesity Prevalence | 0.700905 |
| p. 12-17. e2 | 0.545887 |
| Rev. Public Health | 0.526665 |
| Disease Risk Factors | 0.506247 |
| Ogden CL | 0.505755 |
| School�based obesity prevention | 0.717895 |
| public health concern | 0.521714 |
| Fryar CD | 0.516431 |
| Foresight Obesity | 0.694961 |
| obesity reviews | 0.728521 |
| Carroll MD | 0.503367 |
| child care settings | 0.517415 |
| systematic review | 0.548783 |
| physical activity | 0.655887 |
| childhood obesity | 0.957819 |
| factors.3 Body mass | 0.535356 |
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HAN Archive - 00398|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| yellow areas | 0.323135 |
| CDC Health Alert | 0.261325 |
| CDC | 0.294389 |
| adverse pregnancy outcomes | 0.281054 |
| urine Zika virus | 0.293007 |
| symptom onset | 0.357378 |
| travel recommendations | 0.251761 |
| Zika virus | 0.985873 |
| antibody test result | 0.298602 |
| Zika virus infection | 0.575173 |
| recommendations | 0.304351 |
| Zika virus immunoglobulin | 0.293199 |
| red areas | 0.377568 |
| local transmission | 0.33373 |
| possible Zika virus | 0.385561 |
| urine RNA NAT | 0.274389 |
| pregnant women | 0.838227 |
| IgM antibody test | 0.390389 |
| significant risk | 0.274989 |
| ongoing risks | 0.298602 |
| one-square-mile area | 0.251136 |
| active Zika virus | 0.450522 |
| RNA NAT | 0.306117 |
| ongoing risk | 0.253551 |
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| symptomatic pregnant women | 0.335123 |
| epidemiologic link | 0.348823 |
| CDC’s Zika | 0.252644 |
| Zika virus exposure | 0.379337 |
| Zika virus RNA | 0.327086 |
| ongoing Zika virus | 0.301294 |
| Zika virus disease | 0.375868 |
| Miami-Dade County | 0.611192 |
| RNA NAT testing | 0.300336 |
| possible exposure | 0.440993 |
| Zika virus transmission | 0.68645 |
| Zika virus IgM | 0.303485 |
| Zika cautionary areas | 0.271327 |
| asymptomatic pregnant women | 0.362194 |
| RNA NAT result | 0.272583 |
| Zika active transmission | 0.275415 |
| maternal Zika virus | 0.29613 |
| risk | 0.313535 |
| pregnant sex partner | 0.28304 |
| Healthcare providers | 0.274687 |
| greater likelihood | 0.274377 |
| Yellow Area Designation | 0.253887 |
| yellow area | 0.287559 |
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