| 911 |
Centers for Disease Control and Prevention |
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Global Control and Regional Elimination of Measles,2000-2012 |
Robert T. Perry, MD1, Marta Gacic-Dobo, MSc1, Alya Dabbagh, PhD1, Mick N. Mulders, PhD1, Peter M. |
| MCV coverage | 0.459922 |
| measles supplemental immunization | 0.478372 |
| measles elimination | 0.733287 |
| measles incidence | 0.621381 |
| number | 0.370576 |
| measles genotypes | 0.461326 |
| children | 0.411204 |
| immunization activities | 0.389777 |
| measles vaccination coverage | 0.502941 |
| MCV1 coverage | 0.437109 |
| target age | 0.377976 |
| measles immunization | 0.457918 |
| measles mortality | 0.609069 |
| measles annual incidence | 0.519055 |
| routine immunization services | 0.496461 |
| large measles outbreaks | 0.537037 |
| measles control | 0.480062 |
| World Health Organization | 0.401047 |
| measles susceptibility | 0.478796 |
| Effective measles surveillance | 0.489156 |
| measles vaccination | 0.620646 |
| measles elimination activities | 0.488553 |
| nationwide catch-up SIA | 0.398401 |
| measles elimination targets | 0.495168 |
| measles mortality model | 0.476939 |
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| global measles eradication | 0.545738 |
| recent birth cohorts | 0.396694 |
| SIA MCV coverage | 0.379808 |
| eventual global measles | 0.470289 |
| regional measles elimination | 0.530622 |
| global measles | 0.593572 |
| global measles mortality | 0.483974 |
| Periodic follow-up SIAs | 0.414674 |
| measles cases | 0.521963 |
| measles SIAs | 0.495259 |
| annual measles deaths | 0.512392 |
| Vaccine Action Plan | 0.400922 |
| regional elimination targets | 0.374898 |
| MCV coverage worldwide | 0.370219 |
| annual measles incidence | 0.520998 |
| World Health Assembly | 0.401994 |
| member states | 0.929695 |
| measles deaths | 0.544627 |
| measles control targets | 0.476589 |
| measles-containing vaccine | 0.427622 |
| follow-up sias | 0.430055 |
| Global Vaccine Action | 0.401587 |
| routine MCV coverage | 0.424204 |
| elimination goals | 0.372297 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Calls to Poison Centers for Exposuresto Electronic Cigarettes - United States, September 2010-February2014 |
Kevin Chatham-Stephens, MD1, Royal Law, MPH2, Ethel Taylor, DVM2, Paul Melstrom, PhD3, Rebecca Bunnell, ScD3, Baoguang Wang, MD4, Benjamin Apelberg, PhD4, Joshua G. Schier, MD2 (Author affiliations at end of text). |
| e-cigarette exposure calls | 0.91206 |
| acute nicotine toxicity | 0.41467 |
| United States | 0.453032 |
| U.S. Government Printing | 0.391479 |
| original MMWR paper | 0.388156 |
| emergency department providers | 0.390508 |
| electronic cigarettes | 0.368165 |
| greater proportion | 0.361123 |
| common adverse health | 0.421579 |
| acute adverse health | 0.413722 |
| Human Services | 0.38312 |
| health-care providers | 0.39528 |
| e-cigarette exposures | 0.494343 |
| U.S. adolescents | 0.360645 |
| drug/device combination products | 0.387768 |
| MMWR HTML versions | 0.384498 |
| U.S. Department | 0.380889 |
| eye exposures | 0.418519 |
| public health community | 0.402932 |
| e-cigarette device | 0.37699 |
| adverse health effects | 0.775102 |
| human exposures | 0.433927 |
| e-cigarette-related exposures | 0.413875 |
| nicotine liquid | 0.407289 |
|
| electronic PDF version | 0.388953 |
| skin exposures | 0.419178 |
| monthly e-cigarette | 0.414388 |
| public health concern | 0.40047 |
| multiple substance exposures | 0.467653 |
| battery-powered devices | 0.360063 |
| public health | 0.434555 |
| tobacco cigarette exposure | 0.579074 |
| inhaled aerosol | 0.359742 |
| PCs | 0.367025 |
| exposure routes | 0.494223 |
| e-cigarette manufacturers | 0.371737 |
| cigarette tobacco | 0.414156 |
| tobacco cigarettes | 0.366752 |
| paper copy | 0.38402 |
| therapeutic purposes | 0.416156 |
| U.S. poison centers | 0.407563 |
| cigarette exposures | 0.596355 |
| e-cigarette calls | 0.486529 |
| cigarette butts | 0.42285 |
| tobacco product authorities | 0.391023 |
| original paper copy | 0.383247 |
| health-care facilities | 0.46704 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, November 22, 2010 |
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| H1N1 influenza vaccine | 0.780021 |
| Clin Nutr. | 0.779543 |
| non-metal mining facilities | 0.830269 |
| Perinatal HIV infection | 0.775519 |
| theater-based HIV prevention | 0.796097 |
| pandemic H1N1 influenza | 0.787804 |
| Ann Occup Hyg. | 0.930751 |
| CDC Science Clips | 0.874674 |
| cancer control programs | 0.785241 |
| new weekly digest | 0.773118 |
| underground non-metal mining | 0.830277 |
| additive risk models | 0.777415 |
| breast cancer treatment | 0.774165 |
| pandemic influenza virus | 0.780311 |
| Chief Science Officer | 0.779445 |
| Lubin JH | 0.778681 |
| miners study | 0.825845 |
| Clin Infect Dis. | 0.799088 |
| Stewart PA | 0.820136 |
| public health practice | 0.789474 |
| Nov | 0.868082 |
| Coble JB | 0.833376 |
| successful colorectal cancer | 0.776757 |
| 2009 pandemic | 0.774945 |
| Stephen B. Thacker | 0.839309 |
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| rotavirus structural components | 0.772011 |
| swine H1N1 influenza | 0.778112 |
| Clin Perinatol. | 0.888346 |
| health insurance design | 0.784485 |
| Silverman DT | 0.831235 |
| functional antibody activity | 0.769311 |
| diesel exhaust | 0.844545 |
| Clin J Sport | 0.784092 |
| Kourtis AP | 0.801433 |
| HIV drug resistance | 0.772325 |
| high-risk male adolescents | 0.771526 |
| mother-to-child transmission | 0.794818 |
| H1N1 influenza | 0.797925 |
| Kuzara JL | 0.771883 |
| public health literature | 0.771604 |
| B. Thacker CDC | 0.865296 |
| Prev Med. | 0.775154 |
| emergency medical service | 0.772032 |
| HIV prevention interventions | 0.783556 |
| Clin Vaccine Immunol. | 0.816517 |
| West Nile virus | 0.773718 |
| et al | 0.836667 |
| Human monoclonal antibodies | 0.774426 |
| Thacker CDC Library | 0.865286 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, September 28, 2009 |
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| Family-based treatment | 0.473854 |
| endorsement | 0.451382 |
| emergency medicine | 0.475155 |
| current awareness | 0.468746 |
| findings | 0.420673 |
| Beach MJ | 0.476602 |
| Disease Control | 0.468028 |
| CDC Knowledge | 0.641153 |
| Action Science Clips | 0.954569 |
| factual accuracy | 0.46825 |
| results | 0.43492 |
| new weekly digest | 0.551898 |
| Melanoma epidemic | 0.473508 |
| Chief Science Officer | 0.548538 |
| possible biomarker | 0.477322 |
| SEER registry reports | 0.544051 |
| midsummer night | 0.472158 |
| article | 0.418662 |
| cancer screening decisions | 0.5362 |
| DHHS | 0.485069 |
| booster dose | 0.472814 |
| medical decisions | 0.479214 |
| public domain | 0.478039 |
| Stephen B. Thacker | 0.679444 |
| items | 0.426852 |
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| core principles | 0.474275 |
| carcinogenic potential | 0.477258 |
| Antibody levels | 0.474569 |
| national survey | 0.470649 |
| 22-year follow-up study | 0.542643 |
| severe pediatric obesity | 0.524175 |
| views | 0.419262 |
| beta-Ionone reactions | 0.470415 |
| double strand breaks | 0.531716 |
| hepatitis B vaccine | 0.472078 |
| informational purposes | 0.462671 |
| public health literature | 0.526824 |
| Yoder JS | 0.480465 |
| B. Thacker CDC | 0.781065 |
| cancer receptor status | 0.544025 |
| pathology laboratory | 0.474156 |
| original authors | 0.469833 |
| non-CDC Websites | 0.468268 |
| Climate change | 0.471659 |
| Mol Cancer. | 0.483063 |
| original sources | 0.480172 |
| gas-phase products | 0.47872 |
| news sources | 0.470758 |
| titanium dioxide | 0.471295 |
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| 5389 |
Centers for Disease Control and Prevention |
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en |
Commemorating 30 Years of HIV/AIDS - Statement: June 2, 2011 |
Commemorating 30 Years of HIV/AIDS |
| National HIV/AIDS Strategy | 0.408469 |
| prevention activities | 0.365719 |
| new HIV infections | 0.796587 |
| AIDS communication campaign | 0.409793 |
| CDC | 0.381433 |
| Mortality Weekly Report | 0.433395 |
| HIV prevention | 0.566799 |
| number increases | 0.365917 |
| Disease Control | 0.373921 |
| preventable disease | 0.373197 |
| white men | 0.420269 |
| HIV status | 0.517256 |
| HIV testing site | 0.561433 |
| disproportionate burden | 0.371742 |
| Americans | 0.37283 |
| u.s. department | 0.417409 |
| HIV incidence rate | 0.578935 |
| current rate | 0.36587 |
| new data | 0.371619 |
| white women | 0.417901 |
| HIV-infected heterosexuals | 0.36569 |
| healthier lives | 0.434205 |
| significant health threat | 0.422065 |
| new infections | 0.548557 |
| effective HIV treatments | 0.587142 |
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| United States | 0.570927 |
| New prevention interventions | 0.428604 |
| health threat | 0.427762 |
| high levels | 0.365817 |
| effective HIV prevention | 0.563211 |
| prevention efforts | 0.37151 |
| CDC analysis | 0.37502 |
| White House Office | 0.413916 |
| enormous toll | 0.371754 |
| treatment advances | 0.364963 |
| Hispanic men | 0.370393 |
| HIV transmission | 0.531881 |
| greatest possible impact | 0.406514 |
| deadly new syndrome | 0.44841 |
| HIV test result | 0.577704 |
| black men | 0.371656 |
| human services | 0.420033 |
| White MSM | 0.403009 |
| Gay men | 0.373761 |
| bisexual men | 0.372416 |
| National AIDS Policy | 0.410572 |
| HIV | 0.939695 |
| HIV rates | 0.521045 |
| incurable infection | 0.378029 |
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Centers for Disease Control and Prevention |
Html |
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n-Butane - 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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| 6794 |
Centers for Disease Control and Prevention |
Html |
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MMWR - Recommendations and Reports / Surveillance Summaries -Instructions for Contributors |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| reference manager software | 0.802129 |
| reports | 0.558246 |
| corporate author | 0.686262 |
| extra spaces | 0.672686 |
| references | 0.548171 |
| endnote function | 0.676009 |
| Times New Roman | 0.995071 |
| completeness | 0.541371 |
| Word table function | 0.827152 |
| recommendations | 0.554179 |
| MMWRÂ staff | 0.668482 |
| Excel | 0.558441 |
| reference list | 0.668462 |
| tabular form | 0.681676 |
| Public Health Actions | 0.829614 |
| .jpeg | 0.581191 |
| journals list | 0.67048 |
| .eps file | 0.717394 |
| Surveillance Summaries | 0.676215 |
| Reference numbers | 0.798144 |
| Headings | 0.536825 |
| Biomedical Journals | 0.657753 |
| .tif | 0.546578 |
| Manuscripts Submitted | 0.698515 |
| Abbreviate names | 0.665208 |
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| Reporting Period | 0.682989 |
| MMWRÂ publications | 0.683311 |
| authors | 0.553872 |
| Uniform Requirements | 0.658348 |
| figures | 0.556775 |
| line graphs | 0.677696 |
| vector format files | 0.82088 |
| point | 0.557624 |
| Art work | 0.670468 |
| dpi | 0.590375 |
| Actions Taken | 0.676937 |
| high resolution | 0.674073 |
| figure | 0.553184 |
| separate file | 0.844086 |
| Type size | 0.701099 |
| Microsoft Word | 0.701504 |
| Adobe Illustrator | 0.666418 |
| numerical order | 0.654937 |
| .wmf | 0.549276 |
| line art | 0.810578 |
| correct text citation | 0.815536 |
| Line spacing | 0.723896 |
| et al | 0.658192 |
| Photographs | 0.579176 |
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Centers for Disease Control and Prevention |
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Efectos de la percepción de las características del vecindario y del uso de las instalaciones comunitarias en la realización de actividad física en adultos con o sin discapacidades |
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| Human Services | 0.302605 |
| improving health | 0.30096 |
| Prev Chronic Dis | 0.304303 |
| Risk Factor Surveillance | 0.301642 |
| physical activity behaviors | 0.301282 |
| Mechelen W | 0.300841 |
| Prev Med | 0.30323 |
| Disease Control | 0.300759 |
| Ramsey LT | 0.300838 |
| US Census Bureau | 0.300584 |
| people with | 0.303333 |
| Phys Act Health | 0.301297 |
| with physical disabilities | 0.3025 |
| Am Behav Sci | 0.300836 |
| Factor Surveillance System | 0.301603 |
| perceived environmental characteristics | 0.300687 |
| Sociol Health Illn | 0.301153 |
| US Department | 0.302837 |
| among persons with | 0.300854 |
| Environmental health | 0.30102 |
| Rimmer JH | 0.303306 |
| Estados Unidos | 0.300842 |
| Gauvin L | 0.300809 |
| with disabilities | 0.305528 |
| actividad fÃsica | 0.996135 |
|
| shift from disability | 0.300603 |
| salud pública | 0.301715 |
| Phys Ther | 0.301184 |
| Behav Nutr Phys | 0.300672 |
| Behavioral Risk Factor | 0.301673 |
| form relationships with | 0.300758 |
| built environment | 0.301008 |
| chronic health conditions | 0.301154 |
| Jackson RJ | 0.300829 |
| among people with | 0.30089 |
| Health Promot | 0.321676 |
| pasos peatonales anchos | 0.300607 |
| public health | 0.302674 |
| Killingsworth R | 0.300924 |
| Powell KE | 0.30084 |
| Kriska AM | 0.300592 |
| systematic review | 0.300886 |
| Brownson RC | 0.300843 |
| Brodeur J | 0.300802 |
| physical activity | 0.318966 |
| siguientes instalaciones | 0.300952 |
| persons with disabilities | 0.302291 |
| Health Perspect | 0.300954 |
| with disabilities act | 0.301091 |
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Centers for Disease Control and Prevention |
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Know: BRCA - Everyone Has BRCA Genes (612W x 612H) |
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Centers for Disease Control and Prevention |
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Prevalence of Stroke | United States, 2006 to 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. |
| previous report | 0.360447 |
| education | 0.363578 |
| acute stroke care | 0.46228 |
| higher prevalence | 0.41147 |
| state health officials | 0.361931 |
| higher stroke prevalence | 0.695698 |
| State Heart Disease | 0.353192 |
| state health departments | 0.358441 |
| actual stroke prevalence | 0.547471 |
| stroke mortality | 0.499535 |
| racial/ethnic groups | 0.353527 |
| premature mortality cost | 0.362225 |
| recent trends | 0.353709 |
| public health officials | 0.385945 |
| self-reported stroke | 0.470139 |
| southeastern United States | 0.404 |
| persons | 0.361797 |
| lower levels | 0.3769 |
| stroke incidence | 0.567762 |
| stroke hospitalization data | 0.47506 |
| sociodemographic characteristics | 0.362095 |
| highest estimated stroke | 0.468282 |
| Behavioral Risk Factor | 0.353673 |
| stroke prevalence | 0.970274 |
|
| older stroke survivors | 0.502971 |
| stroke patients | 0.450477 |
| high stroke prevalence | 0.592684 |
| overall prevalence | 0.40522 |
| United States | 0.590611 |
| age group | 0.354338 |
| state-level stroke prevalence | 0.602865 |
| BRFSS core questions | 0.354849 |
| stroke hospitalizations | 0.45353 |
| Acute Stroke Registry | 0.462795 |
| state-specific stroke prevalence | 0.563197 |
| heart disease | 0.415636 |
| severe disability | 0.355085 |
| 50 states | 0.361944 |
| American Indians/Alaska Natives | 0.509291 |
| stroke survivors | 0.53329 |
| age-adjusted prevalence | 0.506364 |
| South Dakota | 0.3804 |
| Stroke Prevention Program | 0.46623 |
| age-adjusted stroke prevalence | 0.587739 |
| high prevalence | 0.430169 |
| cardiovascular disease section | 0.353386 |
| stroke prevalence estimates | 0.570716 |
| stroke prevention | 0.517207 |
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