| 646 |
Centers for Disease Control and Prevention |
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Tobacco-Related Mortality - Smoking & Tobacco Use |
Health Effects Fact Sheets. |
| smoking-related disease | 0.364493 |
| Mortality Weekly Report | 0.402399 |
| annual deaths | 0.475301 |
| Human Services | 0.937327 |
| excess mortality | 0.337716 |
| Overall mortality | 0.335119 |
| U.S. Department | 0.927467 |
| lung cancer | 0.679717 |
| Cancer Monographs | 0.336163 |
| Aug | 0.425537 |
| Health Promotion | 0.597348 |
| Disease Control | 0.621578 |
| middle-aged women | 0.344555 |
| major causes | 0.335998 |
| secondhand smoke | 0.807778 |
| deaths | 0.52218 |
| National Center | 0.519961 |
| Tobacco Control Monograph | 0.405963 |
| World Health Organization | 0.611914 |
| Causes—National Vital Statistics | 0.390093 |
| female smokers | 0.340528 |
| rheumatic heart disease | 0.462687 |
| International Agency | 0.392979 |
| U.S. women | 0.352036 |
| Health Effects | 0.357498 |
|
| women | 0.430621 |
| United States | 0.561996 |
| Health Consequences | 0.546464 |
| similar people | 0.334866 |
| times | 0.345416 |
| acute myeloid leukemia | 0.409144 |
| chronic airways obstruction | 0.424256 |
| heart disease | 0.76417 |
| smoking | 0.597743 |
| National Cancer Institute | 0.598546 |
| cOther vascular diseases | 0.409885 |
| cancer death | 0.35273 |
| American Public Health | 0.448356 |
| pulmonary heart disease | 0.460095 |
| Health | 0.658446 |
| breast cancer | 0.347688 |
| Cigarette smoking | 0.389879 |
| Chronic Disease Prevention | 0.784105 |
| Surgeon General | 0.679803 |
| smokeless tobacco | 0.549628 |
| ventricular arrhythmias | 0.335136 |
| New England Journal | 0.40573 |
| coronary heart disease | 0.643862 |
| risk | 0.340723 |
|
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| 716 |
Centers for Disease Control and Prevention |
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Tularemia - United States, 2001-2010 |
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. |
| Alternate Text | 0.528327 |
| Human Services | 0.550882 |
| public health practitioners | 0.536771 |
| human cases | 0.531914 |
| bacterial zoonosis | 0.520256 |
| average annual incidence | 0.688982 |
| direct contact | 0.522072 |
| South Central states | 0.638978 |
| Median age | 0.52145 |
| central U.S. states | 0.545026 |
| winter cases | 0.527546 |
| patients | 0.520524 |
| Tularemia outbreak | 0.616547 |
| regional lymphadenopathy | 0.567704 |
| glandular tularemia | 0.65053 |
| highest annual incidence | 0.634376 |
| individual cases | 0.546931 |
| high incidence rates | 0.534836 |
| annual incidence | 0.76424 |
| F. tularensis antigen | 0.609899 |
| preceding decade | 0.582332 |
| additional patient information | 0.601383 |
| laboratory confirmation | 0.555119 |
| median number | 0.524714 |
| western United States | 0.556717 |
|
| public health management | 0.517422 |
| United States | 0.730467 |
| urban-rural classification scheme | 0.604117 |
| age group | 0.553223 |
| CDC National Center | 0.524643 |
| causes oropharyngeal disease | 0.520341 |
| South Atlantic states | 0.55706 |
| National Notifiable Diseases | 0.616891 |
| ulceroglandular tularemia | 0.651015 |
| percutaneous inoculation | 0.519142 |
| health departments | 0.586809 |
| tularensis subspecies tularensis | 0.541401 |
| public health | 0.621807 |
| East South Central | 0.612217 |
| tularemia surveillance | 0.616961 |
| Notifiable Diseases Surveillance | 0.6131 |
| South Dakota | 0.691485 |
| Pacific states | 0.59119 |
| select agent | 0.517158 |
| local public health | 0.518069 |
| U.S. states | 0.549019 |
| tularemia cases | 0.963677 |
| F. tularensis | 0.788762 |
| New England states | 0.546407 |
|
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| 6641 |
Centers for Disease Control and Prevention |
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Community Members Home Page |
Community Members |
|
|
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| 7621 |
Centers for Disease Control and Prevention |
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CDC Detectives Respond to Disease Outbreaks | CDC Features |
CDC’s Epidemic Intelligence Service officers are elite global health sleuths that respond 24/7 to emerging threats and disease outbreaks. They continue to respond to the multistate meningitis outbreak as they have to past outbreaks. |
| disease detectives | 0.806869 |
| Dr. Joshua Schier | 0.772151 |
| public locations | 0.70198 |
| CDC′s deployment team | 0.787556 |
| CDC′s EIS program | 0.825152 |
| risk communication specialist | 0.765692 |
| CDC′s response | 0.711183 |
| Health Studies Branch | 0.806318 |
| West Nile Virus | 0.764405 |
| EIS officers | 0.9292 |
| CDC EIS officers | 0.886809 |
| state health departments | 0.828325 |
| Social Security hospital | 0.771059 |
| Dr. Carol Rubin | 0.755141 |
| new public health | 0.839873 |
| simple cough syrup | 0.762513 |
| health professionals | 0.806146 |
| Epidemic Intelligence Service | 0.985519 |
| epidemiologic skills | 0.713421 |
| blood pressure medication | 0.764286 |
| key questions | 0.709776 |
| complex public health | 0.816203 |
| Latin American nation | 0.778706 |
| American Health Organization | 0.828767 |
|
| Camilo Alleyne | 0.707982 |
| CDC′s Global Disease | 0.816942 |
| epidemiologic assistance | 0.701855 |
| global health sleuths | 0.873605 |
| health threats | 0.764731 |
| constant evidence gathering | 0.761618 |
| Intelligence Service officers | 0.825078 |
| blood samples | 0.70347 |
| multistate meningitis outbreak | 0.860533 |
| Gorgas Memorial Institute | 0.784682 |
| disease outbreaks | 0.746486 |
| unknown outbreak | 0.742738 |
| federal health agencies | 0.834604 |
| disease outbreak | 0.791338 |
| current outbreak | 0.751203 |
| disease threats | 0.719511 |
| CDC team | 0.735771 |
| medical epidemiologists | 0.709021 |
| Panama City | 0.723893 |
| epidemiological detective work | 0.764389 |
| CDC′s front lines | 0.724935 |
| CDC Global Health | 0.867501 |
| CDC′s Epidemic Intelligence | 0.81588 |
| high blood pressure | 0.92499 |
|
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| 8006 |
Centers for Disease Control and Prevention |
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Flu Partner Success Stories: Families Fighting Flu |
Partnership success stories, Families Fighting Flu - CDC |
| Dr. Kevin Ault | 0.346711 |
| Webinar participants | 0.286524 |
| National Foundation | 0.354088 |
| Emory University | 0.229465 |
| executive director | 0.225868 |
| lscott@familiesfightingflu.org. | 0.225794 |
| pregnant women | 0.229367 |
| old daughter | 0.230331 |
| upcoming flu season | 0.646944 |
| new information | 0.329608 |
| firsthand perspectives | 0.243156 |
| devastating losses | 0.245605 |
| young children | 0.230287 |
| contact Laura Scott | 0.32662 |
| flu prevention | 0.634669 |
| vaccination rates | 0.308829 |
| Valuable support | 0.222399 |
| Julie Moise | 0.240655 |
| nonprofit organization | 0.258379 |
| entire family | 0.23785 |
| FFF educational initiatives | 0.656544 |
| heartbreaking loss | 0.238912 |
| FFF board member | 0.915725 |
| free webinars | 0.417519 |
|
| Family Healthy | 0.237934 |
| Infectious Diseases | 0.357021 |
| flu vaccination schedule | 0.711445 |
| Healthy Babies Coalition | 0.322719 |
| future initiatives | 0.223511 |
| Health/Immunization Program | 0.223273 |
| visit www.familiesfightingflu.org | 0.221262 |
| key learnings | 0.23623 |
| new moms | 0.239271 |
| National Healthy Mothers | 0.340992 |
| annual flu vaccination | 0.953726 |
| Florida Department | 0.223343 |
| National Influenza Vaccination | 0.429475 |
| National Influenza Vaccine | 0.357079 |
| Dr. William Shaffner | 0.353569 |
| Immunization Action Coalition | 0.325655 |
| medical advisor | 0.22818 |
| critical information | 0.24101 |
| major success | 0.222097 |
| Jennifer Lastinger | 0.229077 |
| health agency workers | 0.360037 |
| FFF members | 0.598982 |
| Influenza/Pneumococcal News Conference | 0.352992 |
| webinars | 0.450769 |
|
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| 8366 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0258 |
Volumen 10 — el 21 de marzo de 2013. |
| Duran T | 0.633994 |
| Tinka Duran | 0.653389 |
| Watanabe-Galloway S | 0.572144 |
| Smith C | 0.576815 |
| Shinobu Watanabe-Galloway | 0.645711 |
| Corey Smith | 0.615057 |
|
| Jim P | 0.587847 |
| Estados Unidos | 0.81314 |
| Stimpson JP | 0.672799 |
| Chronic Dis | 0.618243 |
| Alaska Native Populations | 0.94681 |
|
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Centers for Disease Control and Prevention |
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Announcements: Contact Lens Health Week - November 17-21,2014 |
November 17–21, 2014, marks the first annual Contact Lens Health Week. In close collaboration with partners from clinical, public health, industry, and regulatory sectors, CDC has developed a campaign to promote healthy contact lens wear and care practices that can help reduce the risk for eye infections and complications associated with poor contact lens hygiene. |
| case hygiene | 0.383905 |
| proper wear | 0.377214 |
| eye infection | 0.451323 |
| infrequent storage case | 0.446248 |
| close collaboration | 0.378537 |
| emergency department visits | 0.448531 |
| Human Services | 0.4421 |
| costly eye infection | 0.446233 |
| U.S. Department | 0.437245 |
| MMWR HTML versions | 0.433754 |
| outpatient visits | 0.380704 |
| electronic PDF version | 0.42717 |
| emergency department databases | 0.449044 |
| contact lenses | 0.396314 |
| health care expenditures | 0.460492 |
| Additional information | 0.374863 |
| Contact Lens Health | 0.688174 |
| Contact GPO | 0.408454 |
| healthy contact lens | 0.68759 |
| commercial sources | 0.373938 |
| care practices | 0.453305 |
| emergency department | 0.44914 |
| overnight contact lens | 0.560909 |
| microbial keratitis | 0.539068 |
|
| current prices | 0.370715 |
| regulatory sectors | 0.382022 |
| poor contact lens | 0.824616 |
| contact lens storage | 0.561825 |
| original paper copy | 0.424303 |
| patient education | 0.375583 |
| annual Contact Lens | 0.595385 |
| contact lens hygiene | 0.70227 |
| national outpatient | 0.38035 |
| United States | 0.378796 |
| original MMWR paper | 0.43081 |
| U.S. Government Printing | 0.426768 |
| contact lens | 0.944591 |
| MMWR readers | 0.376961 |
| character translation | 0.369821 |
| contact lens wear | 0.806249 |
| public health | 0.396262 |
| format errors | 0.370649 |
| modifiable risk factors | 0.444602 |
| typeset documents | 0.374107 |
| trade names | 0.373994 |
| official text | 0.368854 |
| non-CDC sites | 0.373079 |
| contact lens disorders | 0.67917 |
|
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Prevalence of Sugar-Sweetened Beverage Intake Among Adults -23 States and the District of Columbia, 2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| highest prevalence | 0.261562 |
| Risk Factor Surveillance | 0.266097 |
| high school education | 0.412638 |
| blacks | 0.244924 |
| self-reported SSB | 0.296158 |
| BRFSS data | 0.244019 |
| SSB intake module | 0.389475 |
| daily intake | 0.326029 |
| higher reported consumption | 0.244202 |
| SSB consumption | 0.319138 |
| adult SSB intake | 0.389753 |
| daily SSB consumption | 0.313228 |
| potential adverse health | 0.264089 |
| usual intake assessment | 0.284879 |
| high SSB intake | 0.357935 |
| persons | 0.276418 |
| dietary intake data | 0.289543 |
| telephone survey | 0.252232 |
| regular soda | 0.249726 |
| Behavioral Risk Factor | 0.266151 |
| overall age-adjusted prevalence | 0.255267 |
| lower SSB intake | 0.350407 |
| adults | 0.3148 |
| excess intake | 0.272549 |
| fruit drinks | 0.248263 |
|
| phone follow-up survey | 0.26159 |
| states | 0.280539 |
| adverse health | 0.2656 |
| West Virginia | 0.290497 |
| state SSB intake | 0.368569 |
| non-Hispanic blacks | 0.243198 |
| daily intake prevalence | 0.31907 |
| Higher SSB intake | 0.357164 |
| SSB optional module | 0.30505 |
| public health | 0.26598 |
| daily ssb intake | 0.780615 |
| cardiovascular disease | 0.260438 |
| U.S. adults | 0.30862 |
| age-adjusted prevalence | 0.255399 |
| SSB intake questions | 0.369988 |
| highest prevalences | 0.24553 |
| added sugars | 0.270119 |
| SSB intake | 0.926568 |
| daily intake frequency | 0.300637 |
| adverse health consequences | 0.262619 |
| Chronic Disease Prevention | 0.250869 |
| SSB reduction | 0.309715 |
| SSB questions | 0.29216 |
| SSBs | 0.258169 |
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FastStats - Therapeutic Drug Use |
null |
| drug therapy | 0.567082 |
| Emergency Department Summary | 0.520016 |
| National Summary Tables | 0.532138 |
| United States | 0.585906 |
| drugs | 0.417496 |
| Percent | 0.377899 |
| age Health | 0.425555 |
| Ambulatory Medical Care | 0.959863 |
| Source | 0.429007 |
|
| National Hospital Ambulatory | 0.771599 |
| Medical Care Survey | 0.917459 |
| prescription drug classes | 0.535808 |
| Summary Tables | 0.662948 |
| PDF | 0.46494 |
| Outpatient Department | 0.431616 |
| Number | 0.395006 |
| Hospital Ambulatory Medical | 0.778817 |
| KB | 0.378785 |
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FastStats - Home Health Care |
null |
| National Study | 0.588784 |
| PDF | 0.364405 |
| Long-Term Care Providers | 0.978813 |
| United States | 0.592335 |
|
| MB | 0.407128 |
| Data | 0.366435 |
| Services Users | 0.594703 |
| Source | 0.368194 |
|
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