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Centers for Disease Control and Prevention |
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September is National Childhood Obesity Month | CDC Features |
The numbers of young people affected by obesity remain at high levels. Learn what you can do to combat childhood obesity.
|
| healthy diet | 0.494695 |
| ways communities | 0.441932 |
| free drinking water | 0.509121 |
| physical activity behaviors | 0.586507 |
| lower-calorie foods | 0.43338 |
| National Childhood Obesity | 0.783794 |
| high cholesterol | 0.440239 |
| children | 0.674796 |
| age appropriate activities | 0.517808 |
| Certain groups | 0.442334 |
| mental health problems | 0.556075 |
| healthier foods | 0.547359 |
| risk factors | 0.437569 |
| Eat healthy meals | 0.595659 |
| body mass index | 0.51031 |
| healthy eating | 0.491487 |
| joint problems | 0.433682 |
| regular physical activity | 0.560413 |
| healthy growth | 0.538133 |
| Learn ways | 0.458236 |
| physical activity opportunities | 0.555194 |
| healthy school environment | 0.592919 |
| sure drinking water | 0.518152 |
| United States | 0.443991 |
| normal weight peers | 0.736535 |
|
| chronic health conditions | 0.55707 |
| childhood healthy weight | 0.632238 |
| Health Care Providers | 0.52595 |
| heart disease | 0.557646 |
| limit juice intake | 0.514675 |
| drinking water | 0.528209 |
| Help children | 0.480813 |
| lifelong physical | 0.455974 |
| local health departments | 0.522998 |
| simple solution | 0.442014 |
| limited screen time | 0.517837 |
| Adult obesity | 0.613427 |
| higher risk | 0.550371 |
| high calorie foods | 0.553533 |
| good health | 0.459642 |
| affordable food options | 0.507802 |
| healthy weight | 0.707813 |
| Teen BMI Calculator | 0.51566 |
| easy access | 0.530132 |
| physical activity | 0.972094 |
| potential weight issues | 0.545389 |
| Measure children | 0.457921 |
| high blood pressure | 0.55202 |
| childhood obesity | 0.857849 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Outbreak of Tuberculosis Associatedwith a Newly Identified Mycobacterium tuberculosis Genotype - NewYork City, 2010-2013 |
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. |
| Public Health Laboratory | 0.475242 |
| Health Wadsworth Center | 0.471953 |
| TB diagnoses | 0.648603 |
| Public Health Research | 0.475953 |
| United States | 0.485517 |
| original MMWR paper | 0.460484 |
| U.S. Government Printing | 0.456123 |
| contact investigation | 0.476447 |
| alcohol withdrawal | 0.477297 |
| drug treatment facility | 0.480427 |
| MMWR HTML versions | 0.453943 |
| New York City | 0.745707 |
| York State Dept | 0.468033 |
| homeless shelters | 0.505414 |
| TB transmission | 0.651376 |
| drug-susceptible TB | 0.662103 |
| abnormal chest radiograph | 0.475256 |
| electronic PDF version | 0.455252 |
| index patient | 0.547026 |
| new TB strain | 0.727328 |
| Bianca R. Perri | 0.457191 |
| DOHMH | 0.502343 |
| substance abuse | 0.566654 |
| ED health-care providers | 0.476496 |
|
| local hospitals | 0.468483 |
| TB treatment | 0.864831 |
| NYC hospital ED | 0.532947 |
| Shama Desai Ahuja | 0.604773 |
| York City Dept | 0.471974 |
| public transportation hub | 0.455266 |
| U.S.-born black men | 0.476375 |
| TB | 0.978781 |
| NYC transportation hub | 0.5129 |
| TB patients | 0.664884 |
| TB controllers | 0.629236 |
| homeless persons | 0.610707 |
| infection-control staff members | 0.47436 |
| TB genotype | 0.678276 |
| TB diagnosis | 0.639204 |
| human immunodeficiency virus | 0.468438 |
| TB risk factors | 0.698448 |
| additional patients | 0.488593 |
| routine NYC protocol | 0.516275 |
| hospital emergency department | 0.485725 |
| multiple epidemiologic links | 0.470807 |
| tb control | 0.716348 |
| Jeanne Sullivan Meissner | 0.448892 |
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| 4611 |
Centers for Disease Control and Prevention |
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January 6, 2010: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC |
Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family. |
| O157 | 0.437014 |
| HI | 0.326322 |
| MN | 0.32343 |
| PM EDT | 0.427178 |
| CDC | 0.330483 |
| Monday | 0.32345 |
| United States | 0.622702 |
| Poultry | 0.325994 |
| reside | 0.328372 |
| KS | 0.325167 |
| persons | 0.448225 |
| SD | 0.325249 |
|
| number | 0.322905 |
| H7 Infections Associated | 0.63207 |
| National Steak | 0.433257 |
| ill persons | 0.407591 |
| TN | 0.322818 |
| Beef | 0.326295 |
| MI | 0.322909 |
| E. coli | 0.950094 |
| outbreak strain | 0.822188 |
| Multistate Outbreak | 0.511486 |
| H7 Live | 0.537889 |
|
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Centers for Disease Control and Prevention |
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ATSDR launches health survey of Marine Corps personnel and civilians - Press Release: June 22, 2011 |
No Progress in Salmonella During Past 15 Years |
| North Carolina | 0.28112 |
| chemical exposures | 0.29122 |
| health survey | 0.743909 |
| toxic substances. | 0.252697 |
| Base Camp Lejeune | 0.529715 |
| Disease Control | 0.263692 |
| federal government | 0.257391 |
| ATSDR Health Survey | 0.729558 |
| scientifically useful health | 0.632486 |
| Health care providers | 0.407002 |
| Toxic Substance | 0.250147 |
| family members | 0.401361 |
| National Center | 0.265433 |
| Environmental Health | 0.305362 |
| survey findings | 0.302512 |
| sister agency | 0.397032 |
| Camp Pendleton | 0.921463 |
| detailed instructions | 0.272158 |
| ATSDR action | 0.521501 |
| civilian employees | 0.256299 |
| ATSDR | 0.782508 |
| mail notification | 0.25102 |
| Marine Corps Personnel | 0.384579 |
| peer-reviewed scientific journal | 0.360939 |
| health history | 0.321133 |
|
| High levels | 0.266138 |
| harmful exposures | 0.255983 |
| Eligible participants | 0.412795 |
| survey participant | 0.289475 |
| useful health information | 0.612957 |
| Web-based version | 0.258348 |
| U.S. DEPARTMENT | 0.36394 |
| Marine Corps | 0.597178 |
| potential exposure | 0.258225 |
| Christopher J. Portier | 0.453853 |
| contaminated water | 0.257986 |
| Camp Lejeune | 0.763752 |
| comprehensive health information | 0.437164 |
| comparison purposes | 0.264871 |
| congressional mandate | 0.263364 |
| accurate findings | 0.275657 |
| duty Marines | 0.254465 |
| mid-July. Portier | 0.303396 |
| civilian workers | 0.260471 |
| largest health survey | 0.476834 |
| Camp Lejeune. | 0.2868 |
| Disease Registry | 0.419601 |
| Toxic Substances | 0.285181 |
| public health agency | 0.416044 |
|
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Centers for Disease Control and Prevention |
Html |
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Methyl hydrazine - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 7248 |
Centers for Disease Control and Prevention |
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Pertussis Epidemic - Washington, 2012 |
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. |
| high rates | 0.296482 |
| childhood series | 0.351047 |
| pertussis epidemic | 0.449385 |
| B. pertussis | 0.608023 |
| pertussis | 0.950864 |
| vaccination coverage | 0.266921 |
| children | 0.363687 |
| pertussis cases | 0.835545 |
| Washington State Public | 0.242025 |
| vaccination status | 0.276865 |
| Tdap | 0.269409 |
| probable cases | 0.247974 |
| national incidence | 0.338955 |
| Seattle Children | 0.249446 |
| effective strategy | 0.254459 |
| infants | 0.255045 |
| adolescents | 0.359737 |
| acellular pertussis vaccine | 0.496288 |
| acellular pertussis | 0.718644 |
| Bordetella pertussis | 0.399242 |
| Washington State Department | 0.312199 |
| Washington school children | 0.243094 |
| PFGE profiles | 0.259012 |
| doses | 0.261095 |
| United States | 0.548883 |
|
| Washington | 0.420509 |
| vaccine doses | 0.242834 |
| National Notifiable Diseases | 0.284659 |
| whole-cell vaccines | 0.377786 |
| Immunization Practices | 0.246081 |
| complete childhood series | 0.331737 |
| Advisory Committee | 0.247008 |
| childhood acellular vaccine | 0.307666 |
| pertussis outbreak | 0.362496 |
| Washington State Secretary | 0.25369 |
| probable pertussis cases | 0.508009 |
| B. pertussis organisms | 0.414291 |
| acellular pertussis vaccines | 0.544381 |
| ongoing pertussis epidemic | 0.402593 |
| Notifiable Diseases Surveillance | 0.271436 |
| health | 0.244332 |
| acellular vaccines | 0.796098 |
| B. pertussis PFGE | 0.433702 |
| whole-cell pertussis | 0.375955 |
| cumulative incidence | 0.244885 |
| pertussis vaccination | 0.526768 |
| Pertussis control | 0.361202 |
| early waning | 0.258246 |
| incidence | 0.346087 |
|
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Centers for Disease Control and Prevention |
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Science Clips - Monday, January 21, 2013 |
null |
| typhoid) fever. | 0.794784 |
| treatment completion rates | 0.779193 |
| survey respondents | 0.704608 |
| Risk Factor Surveillance | 0.785321 |
| lower socioeconomic status | 0.774427 |
| New York City | 0.77294 |
| American Cancer Society | 0.768357 |
| nutrition issues | 0.69922 |
| important data | 0.702475 |
| CDC Science Clips | 0.889255 |
| tolerable upper intake | 0.783212 |
| 2009-2010 H1N1 pandemic | 0.78296 |
| Librarian | 0.698557 |
| Antiviral Therapy | 0.699012 |
| maternal influenza | 0.703393 |
| basic methods | 0.697848 |
| documents high tuberculosis | 0.779457 |
| Science Clips Production | 0.788654 |
| influenza-associated fetal death | 0.78145 |
| survey research principles | 0.770679 |
| HC Hamner | 0.697767 |
| KA Grimm | 0.698249 |
| falciparum malaria | 0.710742 |
| vast majority | 0.69956 |
| case series description | 0.798315 |
|
| cohort study | 0.700272 |
| Web Developer | 0.752386 |
| folic acid intake | 0.791928 |
| corn masa flour | 0.772208 |
| public health community | 0.821305 |
| health co-investigators | 0.707731 |
| laboratory diagnostic methods | 0.778545 |
| epidemic epilepsy | 0.700045 |
| special population | 0.700271 |
| public health | 0.980391 |
| Science Clips | 0.964046 |
| public health literature | 0.780929 |
| unknown etiology | 0.700159 |
| nationwide analysis | 0.698887 |
| HIV-positive adults | 0.700641 |
| B. Thacker CDC | 0.868415 |
| tropical diseases | 0.69931 |
| molecular surveillance | 0.697251 |
| article essay returns | 0.799472 |
| influenza vaccination | 0.709469 |
| life-threatening travel-acquired illnesses | 0.788064 |
| John Iskander | 0.798732 |
| small proportion | 0.696896 |
| public health laboratory | 0.801262 |
|
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Centers for Disease Control and Prevention |
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Bed Bugs - Frequently Asked Questions (FAQs) |
Frequently asked questions about bed bugs. |
| South America | 0.540594 |
| painful swellings | 0.533909 |
| health care provider | 0.608265 |
| slim flat bodies | 0.559177 |
| best way | 0.565636 |
| red area | 0.534749 |
| box springs | 0.537519 |
| allergic symptoms | 0.537634 |
| parasitic insects | 0.538896 |
| stow-away bed bugs | 0.629706 |
| Cimex lectularius | 0.543606 |
| tell-tale bite marks | 0.622306 |
| bed bugs | 0.972606 |
| blood meal | 0.571669 |
| infected area | 0.532382 |
| rare occasions | 0.532796 |
| dresser tables | 0.538142 |
| Bed bug infestations | 0.648441 |
| antiseptic creams | 0.534076 |
| regular inspection | 0.533592 |
| five-star hotels | 0.538586 |
| bed bug bites | 0.692055 |
| initial bite | 0.57705 |
| enlarged bite marks | 0.613624 |
| United States | 0.539421 |
|
| bite marks | 0.768205 |
| bed bug infestation | 0.646767 |
| easiest ways | 0.5367 |
| long periods | 0.531815 |
| medical attention | 0.53411 |
| bed bug | 0.815129 |
| bite site | 0.575654 |
| allergic reaction | 0.566571 |
| dorm rooms | 0.538204 |
| cruise ships | 0.534367 |
| body parts | 0.535335 |
| skin problems | 0.53374 |
| overnight bags | 0.532409 |
| United Kingdom | 0.539394 |
| secondary skin infection | 0.56316 |
| small bite mark | 0.610428 |
| people | 0.58714 |
| physical signs | 0.537032 |
| visible signs | 0.534139 |
| professional pest control | 0.560419 |
| excessive scratching | 0.540114 |
| living conditions | 0.53916 |
| bed bug bite | 0.643244 |
| bed frames | 0.556167 |
|
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Centers for Disease Control and Prevention |
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Disparities in Consistent Retention in HIV Care - 11 Statesand the District of Columbia, 2011-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| National HIV/AIDS Strategy | 0.225834 |
| mitigating racial/ethnic disparities | 0.212872 |
| United States | 0.214497 |
| HIV prevention | 0.279295 |
| National HIV Surveillance | 0.297709 |
| blacks | 0.296795 |
| HIV care retention | 0.425723 |
| transmission category | 0.282478 |
| HIV infections | 0.261577 |
| clinical outcomes | 0.216399 |
| care facilitates ART | 0.200616 |
| HIV outcomes.** | 0.248117 |
| early HIV care | 0.341412 |
| complete laboratory | 0.234573 |
| HIV care limit | 0.339677 |
| viral suppression | 0.209901 |
| HIV diagnosis | 0.26476 |
|
| non-Hispanic blacks/African Americans | 0.249182 |
| health care providers | 0.203877 |
| racial/ethnic groups | 0.337375 |
| HIV surveillance data | 0.335024 |
| HIV outcomes | 0.301257 |
| HIV care | 0.902535 |
| reduced HIV transmission | 0.300199 |
| racial/ethnic disparities | 0.299964 |
| initial outpatient HIV | 0.267618 |
| persons | 0.245951 |
| HIV care engagement | 0.458677 |
| Fewer blacks | 0.213948 |
| human immunodeficiency virus | 0.243884 |
| HIV case management | 0.274412 |
| HIV infection | 0.553328 |
| consistent retention | 0.365922 |
|
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Centers for Disease Control and Prevention |
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Prevalence of Inflammatory Bowel Disease Among Adults Aged?18 Years - United States, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| insurance coverage type | 0.603737 |
| representative data sources | 0.537475 |
| poverty status | 0.513628 |
| disease prevalence estimates | 0.591975 |
| higher prevalence | 0.722345 |
| higher prevalence rates | 0.604407 |
| National Health Interview | 0.539819 |
| central city | 0.49319 |
| population subgroups | 0.517161 |
| surgical procedures | 0.52711 |
| noninstitutionalized U.S. adult | 0.54345 |
| education level | 0.514613 |
| ulcerative colitis | 0.748705 |
| Sample Adult Core | 0.653982 |
| Crohn’s disease | 0.593667 |
| IBD status | 0.546043 |
| health insurance coverage | 0.60625 |
| claims data | 0.517224 |
| National Center | 0.493576 |
| U.S. health care | 0.614299 |
| financial burdens IBD | 0.574268 |
| Health Interview Survey | 0.539435 |
| inflammatory bowel disease | 0.918854 |
| significantly higher prevalence | 0.540867 |
| public health practice | 0.494946 |
|
| sociodemographic characteristics | 0.579675 |
| U.S. adult population | 0.608994 |
| federal poverty level | 0.527498 |
| United States | 0.600188 |
| adults | 0.802202 |
| IBD | 0.911289 |
| administrative claims data | 0.483677 |
| NHIS Sample Adult | 0.594912 |
| high school level | 0.536579 |
| Adult Core component | 0.532691 |
| IBD prevalence | 0.69756 |
| IBD cases | 0.561648 |
| non-Hispanic whites | 0.533907 |
| extensive morbidity | 0.482372 |
| nationally representative estimates | 0.488777 |
| representative data source | 0.627996 |
| nationally representative data | 0.595719 |
| U.S. adults | 0.742141 |
| health | 0.627897 |
| national prevalence estimates | 0.568074 |
| relative standard error | 0.569404 |
| IBD prevalence estimates | 0.659443 |
| employment status | 0.518439 |
| metropolitan statistical area | 0.577898 |
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