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CDC H1N1 Flu | Antiviral Safety Information |
Content on this page was developed during the 2009-2010 H1N1 pandemic and has not been updated. |
| healthcare providers | 0.663205 |
| H1N1 influenza virus | 0.76399 |
| general information | 0.558914 |
| antiviral agents | 0.699959 |
| General safety information | 0.465289 |
| Interim Recommendations | 0.45613 |
| Drug Administration | 0.573816 |
| Rare Neuropsychiatric Events | 0.443222 |
| EUA | 0.464425 |
| fact sheet | 0.955178 |
| safety information | 0.574137 |
| Oseltamivir Suspension | 0.461053 |
| Tamiflu® Oral Suspension | 0.972887 |
| H1N1 influenza infection | 0.527642 |
| Oral Suspension concentration | 0.528636 |
| drug intravenous Peramivir | 0.446004 |
| FDA MedWatch online | 0.481602 |
| adverse event report | 0.456682 |
|
| oral dosing dispenser | 0.664539 |
| seasonal influenza | 0.567198 |
| influenza infection | 0.529691 |
| Relenza® Inhalation Powder | 0.60221 |
| Tamiflu® product package | 0.445722 |
| adverse events | 0.694439 |
| commercially-manufactured Tamiflu® Oral | 0.690225 |
| selected adverse events | 0.652118 |
| FDA MedWatch | 0.627131 |
| transient neuropsychiatric events | 0.441853 |
| Health Care Providers | 0.77572 |
| Neuropsychiatric Events | 0.443468 |
| possible side effects | 0.570527 |
| FDA MedWatch Forms | 0.482156 |
| Antiviral Recommendations | 0.493905 |
| antiviral medications | 0.785457 |
| recent safety information | 0.478915 |
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Centers for Disease Control and Prevention |
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Serogroup A Meningococcal Conjugate Vaccine Coverage Afterthe First National Mass Immunization Campaign - Burkina Faso,2011 |
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. |
| Meningitis Vaccine Project | 0.660945 |
| PsA-TT vaccination coverage | 0.682234 |
| epidemic meningitis | 0.656319 |
| du Burkina Faso | 0.764911 |
| vaccination coverage | 0.712073 |
| vaccination card | 0.687475 |
| routine immunization | 0.659201 |
| new serogroup | 0.656393 |
| vaccination campaign | 0.678204 |
| Meningococcal meningitis epidemics | 0.662017 |
| high coverage | 0.650244 |
| high vaccine coverage | 0.667332 |
| campaign-eligible persons | 0.647825 |
| national routine immunization | 0.655151 |
| age groups | 0.703808 |
| Burkina Faso Ministry | 0.780759 |
| successful introduction | 0.653031 |
| national mass-immunization campaign | 0.65751 |
| persons | 0.663807 |
| Vaccination status | 0.648667 |
| Burkina Faso experience | 0.755094 |
| mass immunization campaign | 0.724459 |
| high vaccination coverage | 0.679757 |
| vaccination | 0.713268 |
| National coverage | 0.657285 |
|
| high PsA-TT coverage | 0.66236 |
| periodic mass campaigns | 0.65607 |
| Lutte Contre la | 0.671786 |
| SantУЉ du Burkina | 0.715145 |
| vaccination coverage estimates | 0.703762 |
| new vaccine | 0.664673 |
| PsA-TT coverage | 0.686566 |
| sub-Saharan Africa | 0.682341 |
| Reliable vaccination coverage | 0.674236 |
| meningococcal conjugate vaccine | 0.720916 |
| Overall administrative coverage | 0.649379 |
| meningitis disease rates | 0.649602 |
| Accurate vaccination coverage | 0.690463 |
| coverage | 0.739151 |
| successful vaccination campaigns | 0.658516 |
| target population | 0.647756 |
| administrative coverage | 0.656681 |
| campaign coverage | 0.650072 |
| PsA-TT campaign | 0.649789 |
| meningococcal meningitis | 0.712236 |
| Contre la Maladie | 0.670073 |
| mass vaccination | 0.648306 |
| Burkina Faso | 0.985245 |
| meningitis belt | 0.69334 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 11_0339 |
Volumen 10 — el 03 de enero de 2013. |
| Guéye S | 0.535739 |
| pequeño tamaño | 0.463577 |
| Seck SM | 0.55034 |
| metabólicas crónicas | 0.537436 |
|
| salud pública | 0.873817 |
| Tamba K | 0.553518 |
| Ba I | 0.540121 |
| trabajadores senegaleses | 0.940807 |
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Centers for Disease Control and Prevention |
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Child Development, Data and Statistics - NCBDDD |
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| blood cell disorders | 0.479877 |
| CDC | 0.8594 |
| milestone checklists | 0.36043 |
| Alcohol Spectrum Disorders | 0.494081 |
| Tourette Syndrome | 0.642583 |
| spina bifida | 0.476925 |
| Legacy | 0.349557 |
| growth chart | 0.358459 |
| Act Early. | 0.3615 |
| sickle cell disease | 0.930142 |
| behavior disorders | 0.400326 |
| sudden twitches | 0.357357 |
| autism spectrum disorders | 0.785232 |
| CDC partnership | 0.561295 |
| Spanish | 0.468888 |
| group | 0.318204 |
| health professionals | 0.824728 |
| developmental disabilities | 0.514229 |
| major birth defect | 0.458043 |
| severe jaundice | 0.37429 |
| early identification | 0.362822 |
| mental disorders | 0.401178 |
| Positive Parenting Tips | 0.521783 |
| hearing loss | 0.341878 |
| behavioral challenges | 0.347442 |
|
| intellectual disability | 0.352052 |
| yellow color | 0.340447 |
| Childrenâ„¢ Booklet | 0.375341 |
| bleeding disorder | 0.34917 |
| fact sheets | 0.913594 |
| educational materials | 0.58317 |
| developmental milestones | 0.379588 |
| physical problems | 0.351792 |
| Head Start program | 0.517384 |
| local community | 0.372045 |
| tip sheets | 0.351115 |
| impulsive behaviors | 0.366905 |
| muscular dystrophies | 0.513515 |
| Muscular Dystrophy | 0.377808 |
| brochures | 0.340943 |
| muscle weakness | 0.359007 |
| childhood mental disorder | 0.524213 |
| anxiety disorders | 0.397895 |
| attention-deficit/hyperactivity disorder | 0.393126 |
| families | 0.524522 |
| muscle mass | 0.354808 |
| English | 0.468994 |
| Fragile X syndrome | 0.474083 |
| Attention-Deficit / Hyperactivity | 0.374606 |
|
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Veterinary Safety and Health - Physical Safety - Animal handling and restraint hazards |
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| NIOSH HHE report | 0.947137 |
| CDC Motor vehicle | 0.462766 |
| Animal Handling | 0.410517 |
| animal facilities | 0.46235 |
| NIOSH Heat stress | 0.772135 |
| OSHA bloodborne diseases | 0.455893 |
| poorly maintained equipment | 0.472718 |
| livestock handling facility | 0.473983 |
| veterinary workplaces | 0.403825 |
| Temple Grandin Livestock | 0.461351 |
| physical restraint | 0.41138 |
| veterinary settings | 0.401667 |
| NIOSH Health hazard | 0.630998 |
| NIOSH Slip | 0.544382 |
| Liberty Veterinary Hospital | 0.463987 |
| County Animal Shelter | 0.466308 |
| traumatic injuries | 0.419285 |
| airborne contaminants | 0.464768 |
| OSHA Laser hazards | 0.473 |
| repetitive motion injuries | 0.501877 |
| National Standard Recommended | 0.468007 |
| Laser Safety Measurements | 0.47636 |
| Society Veterinary Medical | 0.504412 |
| Ontario Veterinary College | 0.476317 |
| animal shelter workers | 0.482583 |
|
| Carolina Swine Veterinary | 0.471195 |
| medical emergencies | 0.403714 |
| Sharps injuries | 0.431152 |
| Needlestick Injury Information | 0.456861 |
| appropriate restraint | 0.413973 |
| Motor vehicle safety | 0.578649 |
| scratch wounds | 0.404192 |
| Animal Bites | 0.410695 |
| Organic Toxic Dust | 0.45802 |
| poultry processing workers | 0.448888 |
| animals feeding operations | 0.463081 |
| medical laser safety | 0.491672 |
| NIOSH Motor vehicle | 0.652177 |
| immediate medical evaluation | 0.487638 |
| Significant injuries | 0.433033 |
| Kirkwood Community College | 0.446202 |
| NASPHV Veterinary Standard | 0.494131 |
| hazard evaluation | 0.460906 |
| Publication No. | 0.449267 |
| Occup Environ Med | 0.449977 |
| AVMA Dog bite | 0.562153 |
| motor vehicle accidents | 0.461682 |
| Eye safety concerns | 0.476276 |
| NIOSH Request | 0.544584 |
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Centers for Disease Control and Prevention |
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CDC Competition Encourages Use of Social Media to Predict Flu |
The Predict the Influenza Season Challenge is a competition designed to foster innovation in flu activity modeling and prediction. - CDC |
| internet search data | 0.352599 |
| annual flu epidemics | 0.600212 |
| longstanding health issue | 0.30287 |
| United States | 0.307445 |
| flu activity modeling | 0.6788 |
| flu disease | 0.437946 |
| public health officials | 0.308112 |
| CDC recognition | 0.277921 |
| flu activity | 0.892237 |
| monitoring flu | 0.452969 |
| Influenza Season Challenge | 0.389232 |
|
| traditional funding mechanisms | 0.284063 |
| public health problem | 0.290754 |
| future Mars rovers | 0.276229 |
| social media data | 0.93306 |
| routine flu surveillance | 0.614292 |
| prize competitions | 0.309025 |
| flu season | 0.620286 |
| supplement CDC | 0.251398 |
| private team building | 0.283315 |
| CDC monitors flu | 0.686462 |
|
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Preventing Chronic Disease | Engaging Communities to Develop and Sustain Comprehensive Wellness Policies: Louisiana™s Schools Putting Prevention to Work - CDC |
Tobacco use, obesity, and physical inactivity among Louisiana’s youth pose a serious public health problem. Given the potential of school environments to affect student well-being, the Louisiana Tobacco Control Program developed and tested a pilot program, Schools Putting Prevention to Work. The objective was to assist school districts in developing a comprehensive school wellness policy and engaging their school community to generate environments that support healthful choices and behaviors. |
| wellness policy | 0.712635 |
| school community | 0.593963 |
| school wellness policies | 0.729661 |
| state team work | 0.746977 |
| school health advisory | 0.623296 |
| School Lunch Program | 0.554597 |
| school boards association | 0.735888 |
| public school students | 0.689523 |
| training session | 0.649767 |
| school | 0.909903 |
| active school health | 0.559241 |
| tobacco-free school campuses | 0.55605 |
| school wellness coordinator | 0.576414 |
| SPPW activities | 0.585601 |
| school districts | 0.797995 |
| Tobacco Control Program | 0.676097 |
| school food service | 0.55101 |
| school health issues | 0.546536 |
| Louisiana Youth Tobacco | 0.574323 |
| school sports team | 0.571399 |
| wellness project state | 0.63219 |
| comprehensive school wellness | 0.685017 |
| site coordinators | 0.868581 |
| project state team | 0.623341 |
| school district community | 0.552823 |
|
| National School Lunch | 0.591615 |
| school boards | 0.780013 |
| school environment | 0.606461 |
| comprehensive wellness policy | 0.597464 |
| public school districts | 0.562484 |
| Louisiana’s youth | 0.551224 |
| team work group | 0.742753 |
| Louisiana School Boards | 0.689048 |
| school wellness activities | 0.588996 |
| Louisiana Obesity Council | 0.552621 |
| Pennington Biomedical Research | 0.614284 |
| school environments | 0.594078 |
| local school wellness | 0.584325 |
| middle school students | 0.565603 |
| school wellness project | 0.681801 |
| Louisiana Tobacco Control | 0.582937 |
| high school students | 0.632437 |
| school district policy | 0.564273 |
| healthy school environments | 0.572224 |
| school wellness | 0.847121 |
| school wellness policy | 0.711648 |
| physical activity | 0.970829 |
| health advisory council | 0.548824 |
| state team | 0.995057 |
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Centers for Disease Control and Prevention |
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QuickStats: Percentage of Adults Aged ?18 Years Ever Told They Had Diabetes by a Doctor or Health Professional, by Race/Ethnicity --- National Health Interview Survey, United States, 2004--2008 |
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. | 0.480073 |
| annual surveys | 0.467253 |
| endorsement | 0.366607 |
| Alternate Text | 0.452424 |
| Human Services | 0.5692 |
| assistive technology | 0.487541 |
| blacks | 0.363428 |
| MMWR HTML versions | 0.57121 |
| U.S. Department | 0.560091 |
| reliable estimates | 0.479022 |
| electronic PDF version | 0.564745 |
| household interviews | 0.459345 |
| American Indian/Alaska Natives | 0.940521 |
| Female respondents | 0.500292 |
| Contact GPO | 0.474383 |
| commercial sources | 0.453832 |
| age groups | 0.463244 |
| current prices | 0.449177 |
| persons | 0.482157 |
| standard population | 0.467053 |
| original paper copy | 0.569911 |
| sample sizes | 0.457486 |
| noninstitutionalized U.S. population | 0.608819 |
| United States | 0.77525 |
|
| U.S. Government Printing | 0.586422 |
| original MMWR paper | 0.567047 |
| Overall category | 0.465025 |
| adults | 0.384812 |
| sugar diabetes | 0.59332 |
| unknown diabetes status | 0.733612 |
| MMWR readers | 0.455011 |
| character translation | 0.44778 |
| borderline diabetes | 0.597864 |
| format errors | 0.445297 |
| Asians | 0.370872 |
| multiple races | 0.468086 |
| subject line | 0.484383 |
| typeset documents | 0.45181 |
| health | 0.46692 |
| trade names | 0.453921 |
| official text | 0.444177 |
| doctor | 0.410322 |
| non-CDC sites | 0.450314 |
| American Indian/Alaska Native | 0.67969 |
| confidence interval | 0.468082 |
| pregnancy-related diabetes | 0.609811 |
| electronic conversions | 0.442773 |
| printable versions | 0.439635 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Feasibility Study of Wearable Activity Monitors for Pre-Adolescent School-Age Children - CDC |
Understanding physical activity is key in the fight against childhood obesity. The objective of this study was to examine the feasibility of using certain wearable devices to measure physical activity among children. |
| Polar Active users | 0.318255 |
| device removal | 0.336295 |
| certain wearable devices | 0.316041 |
| different device | 0.396578 |
| physical activity quantity | 0.353055 |
| Measuring physical activity | 0.328191 |
| children | 0.602157 |
| device malfunctioning | 0.342183 |
| device selection | 0.332593 |
| Nutrition Research Center | 0.347773 |
| various device data | 0.410427 |
| devices | 0.421952 |
| device interview | 0.384415 |
| Polar Active models | 0.330268 |
| user activity data | 0.328541 |
| device preference | 0.341066 |
| regular physical activity | 0.355821 |
| heart rate monitor | 0.344887 |
| new device | 0.346962 |
| research context | 0.31628 |
| device | 0.638196 |
| total energy expenditure | 0.411717 |
| study | 0.392732 |
| wrist-worn Polar Active | 0.398208 |
| active energy expenditure | 0.327642 |
|
| device removals | 0.364506 |
| Health Institute | 0.329808 |
| Polar Active | 0.803372 |
| preferred device | 0.339135 |
| favorite device characteristics | 0.378193 |
| daily physical activity | 0.335845 |
| wrist-worn device | 0.394842 |
| UC Davis | 0.376489 |
| pre-adolescent children | 0.322917 |
| device acceptability | 0.364672 |
| study population | 0.329419 |
| device interviews | 0.382009 |
| exit interview | 0.319718 |
| physical activity | 0.922639 |
| wearable activity devices | 0.365007 |
| waterproof increase feasibility | 0.333098 |
| Human Nutrition Research | 0.347777 |
| 4-week study | 0.344042 |
| physical activity patterns | 0.349148 |
| Pediatr Exerc Sci | 0.36338 |
| accelerometers | 0.336853 |
| Western Human Nutrition | 0.335315 |
| research studies | 0.317218 |
| time | 0.341758 |
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Centers for Disease Control and Prevention |
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EID News Synopsis: August 2014 | CDC Media Relations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| recent analysis | 0.702588 |
| avian virus | 0.698984 |
| human health practitioners | 0.763551 |
| Texas A&M University | 0.756942 |
| Infectious Disease journal | 0.820067 |
| infectious diseases | 0.793024 |
| York State Department | 0.764413 |
| Basic Medical Sciences | 0.769415 |
| CDC study | 0.762326 |
| Veterinary Integrative Biosciences | 0.752186 |
| Chagas disease risk | 0.809533 |
| University Medical School | 0.757867 |
| fatal heart disease | 0.786132 |
| vector-borne diseases | 0.714274 |
| Hakan Leblebicioglu | 0.697028 |
| CDC Press Office | 0.81676 |
| broad geographic area | 0.754796 |
| study period | 0.705107 |
| Crimean-Congo hemorrhagic fever | 0.763047 |
| commonly used techniques | 0.760099 |
| bird migration routes | 0.747728 |
| state public health | 0.775061 |
| US. Disease symptoms | 0.786116 |
| infected kissing bugs | 0.807538 |
| Contact Rita Traxler | 0.786172 |
|
| leptospirosis patients | 0.758505 |
| Salmonella bacteria | 0.709312 |
| United States | 0.778024 |
| human disease | 0.723621 |
| avian influenza viruses | 0.783397 |
| Chagas disease | 0.825107 |
| migration flyway intersection | 0.763262 |
| wild birds | 0.704869 |
| public health journal | 0.80767 |
| Taishan Medical College | 0.775298 |
| disease severity | 0.732029 |
| hakan@omu.edu.tr | 0.696531 |
| Salmonella subtypes | 0.714375 |
| hospital discharge data | 0.776701 |
| Recent genetic analysis | 0.766911 |
| urban areas | 0.696918 |
| Contact William Wolfgang | 0.769019 |
| parasite Trypanosoma cruzi | 0.759328 |
| migratory birds | 0.696809 |
| infected ticks | 0.793624 |
| p.m. EDT | 0.712567 |
| shelter dogs | 0.751999 |
| animal urine | 0.696699 |
| annual number | 0.698998 |
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