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Centers for Disease Control and Prevention |
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Flu-Free, Healthy Travel this Winter |
Whether traveling to warmer weather or a snow-filled adventure, make sure the flu is not your travel companion. Get your flu vaccine before you go to reduce your risk of catching and spreading the flu. |
| hands | 0.439561 |
| flu infection | 0.681664 |
| tissue | 0.440376 |
| best way | 0.528137 |
| health information | 0.512903 |
| trip | 0.450259 |
| Disease Control | 0.507791 |
| chills | 0.426563 |
| talk | 0.463754 |
| prevention | 0.446772 |
| snow-filled adventure | 0.537768 |
| area | 0.447044 |
| usage guidelines | 0.509426 |
| Prompt treatment | 0.515607 |
| HealthMap Vaccine Finder | 0.648885 |
| sick people | 0.51959 |
| flu illness | 0.677625 |
| water | 0.463615 |
| symptoms | 0.439047 |
| alcohol-based sanitizer | 0.653775 |
| high risk | 0.618045 |
| useful tips | 0.531859 |
| health items | 0.512218 |
| travel companion | 0.538798 |
| antiviral medications | 0.526774 |
|
| United States | 0.600332 |
| Flu vaccines | 0.827205 |
| destination | 0.447066 |
| winter | 0.447158 |
| flu vaccine | 0.858696 |
| protection | 0.424865 |
| coughs | 0.429536 |
| travel medicine | 0.517374 |
| malaria | 0.481559 |
| flu complications | 0.788423 |
| important tool | 0.522221 |
| Pack Smart | 0.518392 |
| close contact | 0.510375 |
| health departments | 0.516349 |
| disclaimer | 0.424471 |
| simple things | 0.516513 |
| antiviral drugs | 0.519136 |
| fever medicine | 0.520877 |
| medical care | 0.627877 |
| flu | 0.990757 |
| doctor | 0.544993 |
| places | 0.443081 |
| appropriate medical care | 0.60459 |
| warmer weather | 0.543005 |
|
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Centers for Disease Control and Prevention |
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ACIP Recommends Universal Annual Influenza Vaccination |
CDC’s Advisory Committee on Immunization Practices (ACIP) Recommends Universal Annual Influenza Vaccination. |
| Mortality Weekly Report | 0.53467 |
| ACIP discussion | 0.530965 |
| universal recommendation | 0.518195 |
| higher risk persons | 0.651073 |
| specific recommendation | 0.580587 |
| H1N1 pandemic virus | 0.592775 |
| seasonal influenza vaccination | 0.775444 |
| H1N1 virus | 0.533125 |
| Disease Control | 0.484055 |
| preventive health action | 0.535496 |
| health care personnel | 0.533816 |
| seasonal influenza vaccines | 0.665111 |
| seasonal influenza | 0.920721 |
| chronic medical conditions | 0.533004 |
| new recommendation | 0.574588 |
| age groups | 0.479099 |
| influenza vaccine doses | 0.69345 |
| incremental increases | 0.483015 |
| new data | 0.477499 |
| annual influenza vaccination | 0.900724 |
| H1N1 monovalent vaccine | 0.571858 |
| season’s vaccine | 0.503089 |
| flu pandemic | 0.502317 |
| immunization experts | 0.501552 |
| certain people | 0.488919 |
|
| Related Biological Products | 0.532873 |
| Immunization Practices | 0.493995 |
| Advisory Committee | 0.554771 |
| influenza immunization | 0.6236 |
| flu-related complications | 0.482141 |
| ACIP | 0.557254 |
| seasonal influenza vaccine | 0.803046 |
| -like virus | 0.53262 |
| higher risk | 0.789756 |
| influenza season | 0.677018 |
| certain racial/ethnic groups | 0.54325 |
| vaccine issues | 0.519755 |
| B/Brisbane/60/2008-like virus | 0.49017 |
| vaccination efforts | 0.552351 |
| influenza vaccination | 0.978201 |
| people | 0.569533 |
| risk factor | 0.481979 |
| U.S. population | 0.477378 |
| influenza complications | 0.586218 |
| different vaccine viruses | 0.560724 |
| ACIP meeting | 0.534681 |
| ACIP recommendations | 0.534938 |
| close contacts | 0.550643 |
| post-partum women | 0.479492 |
|
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Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - January 03, 2014 |
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. |
| H. influenzae | 0.599689 |
| National Center | 0.514082 |
| Immunization | 0.352742 |
| viruses | 0.349656 |
| cases | 0.716921 |
| CDC | 0.507056 |
| Table | 0.349266 |
| novel influenza | 0.861674 |
| Total case counts | 0.686911 |
| serotypes | 0.349417 |
|
| measles cases | 0.551242 |
| ** Data | 0.563159 |
| Cumulative total E. | 0.694906 |
| Influenza Division | 0.6465 |
| probable cases | 0.536727 |
| Respiratory Diseases | 0.520203 |
| ages | 0.349508 |
| rubella cases | 0.517727 |
| human infection | 0.541545 |
| influenza A virus | 0.699733 |
|
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Centers for Disease Control and Prevention |
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Association Between Food Opportunities During the School Day and Selected Dietary Behaviors of Alternative High School Students, Minneapolis/Saint Paul, Minnesota, 2006 |
null |
| alternative high schools | 0.900637 |
| demographic characteristics | 0.251524 |
| effective school health | 0.260424 |
| High-fat food intake | 0.256292 |
| School Health Policies | 0.26693 |
| alternative high school | 0.538765 |
| french fries | 0.253611 |
| school food practices | 0.295165 |
| American high school | 0.280973 |
| school store opportunities | 0.2743 |
| response categories | 0.303137 |
| traditional high schools | 0.416213 |
| healthful food environment | 0.242736 |
| school policies | 0.262455 |
| traditional high school | 0.314765 |
| fast-food restaurant | 0.488567 |
| school food | 0.626737 |
| alternative school food | 0.34862 |
| urban high school | 0.297326 |
| dietary behaviors | 0.59607 |
| multiple food opportunities | 0.308268 |
| regular soda | 0.268672 |
| National School Lunch | 0.293131 |
| food opportunities | 0.88873 |
| school food opportunities | 0.521044 |
|
| study | 0.381516 |
| competitive foods | 0.340286 |
| public school districts | 0.270708 |
| pilot study | 0.266144 |
| Minnesota School | 0.248109 |
| school stores | 0.316083 |
| school food environment | 0.534716 |
| sugar-sweetened beverages | 0.534118 |
| high-fat foods | 0.433791 |
| food environment | 0.554497 |
| unhealthful dietary behaviors | 0.24794 |
| Team COOL | 0.251475 |
| healthier school food | 0.289612 |
| fast-food restaurants | 0.268973 |
| better school health | 0.257003 |
| continuous variable | 0.256732 |
| consumption | 0.261226 |
| high school students | 0.827615 |
| frequent food opportunities | 0.307714 |
| school food options | 0.302945 |
| public high schools | 0.280532 |
| healthful foods | 0.251198 |
| public alternative school | 0.301994 |
| alternative school health | 0.278846 |
|
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Centers for Disease Control and Prevention |
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Allergies - Health Communication |
Allergies - Gateway to Health Communication - CDC |
| allergies | 0.926385 |
| new medication | 0.39819 |
| peak hay-fever season | 0.60347 |
| drug allergies | 0.561237 |
| substances | 0.242776 |
| allergy injection therapy | 0.652622 |
| dust mites | 0.383046 |
| cardiac arrhythmia | 0.37924 |
| insect sting | 0.374625 |
| poison ivy | 0.398538 |
| anaphylaxis | 0.226322 |
| certain substance | 0.385941 |
|
| chronic conditions | 0.394601 |
| senior citizen | 0.38937 |
| allergic reactions | 0.815577 |
| annual cost | 0.427363 |
| symptoms | 0.222197 |
| certain foods | 0.381846 |
| animal dander | 0.374905 |
| severe allergic reaction | 0.706436 |
| chronic illness | 0.427863 |
| air-conditioned environment | 0.40471 |
| hay fever | 0.403693 |
|
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Centers for Disease Control and Prevention |
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Vaccine Information Statement: HPV (Human Papillomavirus) Gardasil - Vaccines - CDC |
HPV (Human Papillomavirus) Gardasil Vaccine Information Statement |
| bookmark | 0.523452 |
| MPEG | 0.49209 |
| Similar content | 0.802514 |
| PDF | 0.364526 |
|
| PPT | 0.564299 |
| DOC | 0.482231 |
| different file formats | 0.977992 |
| URL | 0.505941 |
|
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Centers for Disease Control and Prevention |
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HAN Archive - 00330'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| asymptomatic patients | 0.949748 |
| multistate outbreak | 0.314949 |
| CDC Health Alert | 0.724779 |
| CDC | 0.804409 |
| Clinician Guidance web | 0.523616 |
| steroid products.1 CDC | 0.723976 |
| antifungal treatment | 0.299152 |
| contaminated products1 | 0.341916 |
| recent information | 0.264202 |
| interim guidance | 0.592834 |
| CDC analysis | 0.502853 |
| international organizations | 0.269682 |
| enhances health decisions | 0.40896 |
| clinical guidance | 0.384759 |
| contaminated steroid product1 | 0.5483 |
| critical health issues | 0.411786 |
| credible information | 0.271918 |
| contaminated steroid products | 0.851416 |
| Disease Control | 0.458926 |
| specific details | 0.279759 |
| diagnostic test results | 0.416235 |
| clinicians | 0.271223 |
| current investigation | 0.26355 |
|
| ongoing investigation | 0.284896 |
| Currently available data | 0.418102 |
| presumptive treatment | 0.289081 |
| case definitions | 0.259704 |
| newly reported cases | 0.410601 |
| diagnostic testing | 0.287404 |
| England Compounding Center | 0.453143 |
| antifungal prophylactic | 0.331552 |
| healthy living | 0.26415 |
| greatest risk | 0.280007 |
| Additional data | 0.271137 |
| previous data | 0.27413 |
| fungal infections | 0.311675 |
| strong partnerships | 0.260388 |
| adverse drug events | 0.419188 |
| methylprednisolone acetate | 0.272322 |
| new data | 0.287192 |
| NECC | 0.210007 |
| guidance | 0.593077 |
| paraspinal injections | 0.936316 |
| PM ET | 0.303504 |
| up-to-date information | 0.261535 |
| fungal meningitis | 0.49587 |
|
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Centers for Disease Control and Prevention |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 3.4 |
null |
| Selenium Serum selenium | 0.398553 |
| Total population | 0.370112 |
| Search Form Controls | 0.44392 |
| Males | 0.417474 |
| Serum alpha-carotene | 0.374702 |
| conf. interval | 0.652728 |
| Urinary equol | 0.371288 |
| file | 0.40206 |
| Serum iron | 0.374557 |
| Geometric mean | 0.647646 |
| small cell size | 0.431266 |
| Urinary enterolactone | 0.371156 |
| Urinary O-desmethylangolensin | 0.371244 |
| Carotenoids Serum | 0.372443 |
| u.s. population | 0.519801 |
| Serum lutein/zeaxanthin | 0.374656 |
| Nutrition Examination Survey | 0.619128 |
| Biochemical Indicators | 0.37956 |
| National Report | 0.374665 |
| Tweet Share Compartir | 0.383552 |
| Urinary enterodiol | 0.3712 |
| Mexican Americans | 0.424633 |
|
| percentiles | 0.400925 |
| greater uncertainty | 0.377684 |
| non-hispanic whites | 0.418121 |
| Table | 0.411351 |
| Serum trans-lycopene | 0.374641 |
| Iodine Urinary iodine | 0.369789 |
| Lignans Urinary genistein | 0.37225 |
| page options Skip | 0.379458 |
| Search Controls | 0.376189 |
| Serum gamma-tocopherol | 0.374718 |
| non-hispanic blacks | 0.423218 |
| Iron-Status Indicators Serum | 0.398986 |
| Serum trans-beta-carotene | 0.374687 |
| total U.S. population | 0.37715 |
| National Health | 0.477715 |
| Compounds Serum folate | 0.400683 |
| Urinary daidzein | 0.371332 |
| Serum transferrin saturation | 0.923693 |
| Serum vitamin | 0.393771 |
| page | 0.398189 |
| serum concentrations | 0.508318 |
|
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Centers for Disease Control and Prevention |
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Hookah-Related Twitter Chatter: A Content Analysis |
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. |
| traditional hookah | 0.573869 |
| hookah tweets | 0.75263 |
| terms hookah | 0.611902 |
| smoking hookah | 0.688923 |
| Fuck hookah | 0.538924 |
| mentions electronic hookah | 0.584546 |
| tweets normalized hookah | 0.774415 |
| Introduction
Hookah smoking | 0.6557 |
| hookah smoke | 0.556545 |
| Twitter’s Tweets | 0.485236 |
| anti-hookah tweets | 0.491744 |
| increase hookah smoking | 0.591132 |
| specific hookah products | 0.59369 |
| influential tweets | 0.457511 |
| hookah retailors | 0.562449 |
| total tweets | 0.455793 |
| hookah products | 0.643004 |
| Hate hookah | 0.540483 |
| noncommercial tweets | 0.458425 |
| tobacco-related tweets | 0.450265 |
| hookah bar advertisements | 0.563491 |
| hookah bars/products | 0.562492 |
| young adults | 0.392636 |
| Waterpipe tobacco smoking | 0.409028 |
|
| qualitative analysis | 0.377645 |
| pro-hookah tweets | 0.522081 |
| hookah bars | 0.638445 |
| Twitter users | 0.365926 |
| hookah-related tweets | 0.463568 |
| hookah commercial entities | 0.566018 |
| United States | 0.409907 |
| hookah key words | 0.57642 |
| young people | 0.437976 |
| electronic hookah products | 0.566834 |
| hookah use promotes | 0.593258 |
| commercial hookah establishments | 0.577291 |
| hookah smokers | 0.613589 |
| electronic hookah devices | 0.591184 |
| hookah bar | 0.579382 |
| smoke-free air laws | 0.42376 |
| marijuana-related tweets | 0.487319 |
| social media | 0.5553 |
| Klout score | 0.400037 |
| hookah smoking | 0.987857 |
| electronic hookah | 0.63703 |
| hookah pens | 0.678253 |
| test items | 0.368329 |
| health | 0.372947 |
|
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Combustible and Smokeless Tobacco Use Among High SchoolAthletes - United States, 2001-2013 |
Israel T. Agaku, DMD1; Tushar Singh, MD, PhD1,2; Sherry Everett Jones, PhD, JD3; Brian A. King, PhD1; Ahmed Jamal, MBBS1; Linda Neff, PhD1; Ralph S. |
| high school | 0.318841 |
| current tobacco | 0.36691 |
| tobacco use cessation | 0.358263 |
| professional athletes | 0.259622 |
| students | 0.32556 |
| smokeless tobacco users | 0.484631 |
| combustible tobacco | 0.718 |
| Comprehensive Tobacco Control | 0.378126 |
| Hispanic students | 0.267985 |
| adult tobacco users | 0.41192 |
| youth athletes | 0.285371 |
| Youth Risk Behavior | 0.290207 |
| athletic status | 0.303849 |
| non-Hispanic white athletes | 0.291442 |
| sports teams | 0.281662 |
| high school athletes | 0.318435 |
| higher smokeless tobacco | 0.449163 |
| dissolvable tobacco | 0.356857 |
| national youth risk | 0.288856 |
| Hispanic athletes | 0.262053 |
| nonathletes | 0.273308 |
| male students | 0.269286 |
| significant declines | 0.262177 |
|
| significantly lower odds | 0.350325 |
| tobacco product prices | 0.378501 |
| certain tobacco products | 0.41778 |
| athletes | 0.392343 |
| high school students | 0.266271 |
| smokeless tobacco products | 0.570082 |
| tobacco industry | 0.369634 |
| baseball.** Smokeless tobacco | 0.444783 |
| U.S. high school | 0.294862 |
| smokeless tobacco | 0.911169 |
| stronger tobacco control | 0.408235 |
| professional U.S. athletes | 0.280579 |
| combustible tobacco users | 0.445739 |
| tobacco use patterns | 0.355662 |
| current combustible tobacco | 0.489162 |
| sports team participation | 0.346614 |
| non-Hispanic white students | 0.299782 |
| 11th grade athletes | 0.290406 |
| combustible tobacco products | 0.610533 |
| 12th grade students | 0.312601 |
| significantly higher odds | 0.274246 |
| current smokeless tobacco | 0.639996 |
| health interventions.*** Tobacco | 0.373692 |
|
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