| 6312 |
Centers for Disease Control and Prevention |
Html |
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Chronic disease risk factors among American Indian/Alaska Native women of reproductive age. |
null |
| logistic regression model | 0.347089 |
| young AI/AN women | 0.306891 |
| demographic characteristics | 0.301118 |
| health insurance | 0.282942 |
| Risk Factor Surveillance | 0.291589 |
| multivariable model women | 0.263192 |
| reproductive health care | 0.266173 |
| chronic disease risk | 0.346762 |
| AI/AN women | 0.740637 |
| high cholesterol | 0.304967 |
| multiple chronic diseases | 0.284052 |
| associated risk factors | 0.282262 |
| Fewer AI/AN women | 0.285786 |
| Indian/Alaska Native women | 0.375042 |
| chronic disease conditions | 0.317014 |
| risk factors | 0.943499 |
| chronic medical conditions | 0.300627 |
| health care services | 0.294132 |
| body mass index | 0.280868 |
| disease risk factors | 0.333644 |
| certain chronic conditions | 0.29874 |
| chronic disease screening | 0.303149 |
| chronic disease | 0.391594 |
| white women | 0.797748 |
| Behavioral Risk Factor | 0.290298 |
|
| higher rates | 0.272967 |
| income | 0.26348 |
| Women self-reported information | 0.27144 |
| routine checkup | 0.298098 |
| smoking | 0.263622 |
| health care | 0.359226 |
| common chronic condition | 0.277865 |
| chronic diseases | 0.309542 |
| reproductive age | 0.429611 |
| rates | 0.283426 |
| adult AI/AN women | 0.313653 |
| frequent mental distress | 0.438617 |
| high blood cholesterol | 0.301732 |
| chronic conditions | 0.990133 |
| physical activity | 0.358422 |
| comprehensive health care | 0.263804 |
| Chronic Disease Prevention | 0.278736 |
| multinomial logistic regression | 0.275969 |
| high blood pressure | 0.421967 |
| non-Hispanic white women | 0.351096 |
| American Indian/Alaska Native | 0.478236 |
| related risk factors | 0.314424 |
| AI/AN race | 0.2743 |
| excessive alcohol consumption | 0.277056 |
|
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Supplemental Interim Guidance for School Administrators Associated with Possible Outbreaks of H3N2 Variant Influenza Virus |
Supplemental Interim Guidance for School Administrators Associated with Possible Outbreaks of H3N2 Variant Influenza Virus ( |
| sick students | 0.315673 |
| H3N2v virus infection | 0.845393 |
| health care provider | 0.397246 |
| Refer students | 0.312676 |
| tissue | 0.23796 |
| supplemental guidance | 0.315919 |
| cough | 0.240374 |
| pigs | 0.345034 |
| School Administrators | 0.300062 |
| number | 0.222741 |
| terms | 0.222482 |
| H3N2v virus | 0.982386 |
| flu-like illness | 0.605673 |
| seasonal influenza | 0.441756 |
| July-August | 0.229784 |
| past | 0.221038 |
| sick people | 0.311107 |
| water | 0.235869 |
| different states | 0.323621 |
| seasonal flu viruses | 0.444162 |
| high risk | 0.310315 |
| outbreaks | 0.223224 |
| human infection | 0.352136 |
| soap | 0.237042 |
|
| Germs | 0.224048 |
| alcohol-based hand rub | 0.397835 |
| students | 0.330508 |
| limited person-to-person transmission | 0.419959 |
| local health department | 0.401145 |
| dates approach | 0.314297 |
| sore throat | 0.320242 |
| close contact | 0.523317 |
| Inform parents | 0.305819 |
| nose | 0.246125 |
| severity | 0.225912 |
| agricultural fairs | 0.31818 |
| flu-like symptoms | 0.367634 |
| seasonal flu vaccine | 0.433997 |
| flu viruses | 0.454495 |
| staff | 0.25548 |
| sick person | 0.315843 |
| k-12 schools | 0.370876 |
| spread | 0.283495 |
| Share key messages | 0.386044 |
| swine | 0.223446 |
| mouth | 0.24516 |
| H3N2v virus cases | 0.4871 |
| information | 0.220748 |
|
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Html |
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VWD, Articles - NCBDDD |
null |
| African-American Women | 0.350059 |
| Psychosocial Experiences | 0.347315 |
| von willebrand | 0.752119 |
| oral tranexamic acid | 0.491555 |
| Stein SF | 0.509149 |
| Issue | 0.373202 |
| Philipp CS | 0.673054 |
| Clinical Management | 0.347707 |
| Inherited Bleeding Disorders | 0.398308 |
| American Women | 0.351424 |
| unexplained menorrhagia | 0.439574 |
| Multisite management study | 0.492936 |
| abnormal laboratory hemostasis | 0.50219 |
| Haemophilia Treatment Centres | 0.49799 |
| Willebrand Factor Levels | 0.409425 |
| British Journal | 0.402775 |
| von Willebrand Factor | 0.57693 |
| Relative Effects | 0.347341 |
| Read summary | 0.684544 |
| National Center | 0.345976 |
| ABO Blood Type | 0.388931 |
| platelet function analyzer | 0.497985 |
| Read article | 0.43994 |
| haemostatic characteristics | 0.412632 |
| Evatt | 0.491805 |
|
| menorrhagia | 0.46657 |
| Volume | 0.373237 |
| NF | 0.352662 |
| women | 0.468937 |
| Skerette NI | 0.405718 |
| Ayers | 0.35099 |
| von willebrand disease | 0.642539 |
| Diagnosed Menorrhagia | 0.378857 |
| United States | 0.34905 |
| Platt SJ | 0.347999 |
| Evatt BL | 0.456214 |
| Disease Receiving Care | 0.38495 |
| Case-Control Study | 0.34875 |
| intranasal desmopressin | 0.415555 |
| Heit JA | 0.531725 |
| Dilley | 0.516909 |
| Miller CH | 0.949985 |
| Women Diagnosed | 0.351884 |
| underlying bleeding disorders | 0.500006 |
| Faiz | 0.357121 |
| Willebrand Factor Activity | 0.418494 |
| Dilley AB | 0.479193 |
| CDC scientific articles | 0.392313 |
| prospective crossover study | 0.488416 |
|
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| 8307 |
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Html |
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Rape Prevention and Education (RPE) Program - Funded Programs - Violence Prevention - Injury Center |
null |
| sexual violence perpetration | 0.484743 |
| program evaluation data | 0.387399 |
| Northern Mariana Islands | 0.392465 |
| Violence Against Women | 0.42474 |
| state health departments | 0.404109 |
| sexual violence prevention | 0.794331 |
| sexual violence coalitions | 0.521238 |
| RPE programs | 0.442976 |
| state sexual violence | 0.55367 |
| CDC’s Injury | 0.351617 |
| poor mental health | 0.380902 |
| prevention programs | 0.391911 |
| Program activities | 0.355416 |
| community data | 0.347442 |
| long-term health consequences | 0.380029 |
| state agency partners | 0.396612 |
| prevention opportunities | 0.36399 |
| health protection agency | 0.384897 |
| Rape Prevention | 0.352022 |
| social change theories | 0.381187 |
| Primary prevention—stopping violence | 0.484812 |
| Puerto Rico | 0.346798 |
| behavior patterns | 0.345357 |
| rape crisis centers | 0.389701 |
|
| unhealthy behaviors | 0.344702 |
| RPE grantees | 0.467223 |
| program decisions | 0.351947 |
| safety data | 0.346938 |
| public health approach | 0.390363 |
| physical health problems | 0.382181 |
| public health burden | 0.38503 |
| diverse stakeholders | 0.347762 |
| U.S. Virgin Islands | 0.389544 |
| public health | 0.410933 |
| violence prevention systems | 0.510334 |
| 50 states | 0.353646 |
| sexual violence | 0.964221 |
| way individual | 0.344577 |
| community organizations | 0.35031 |
| RPE program | 0.554748 |
| violence prevention strategies | 0.480366 |
| best available evidence | 0.383725 |
| future program plans | 0.390893 |
| public health problem | 0.383831 |
| violence prevention efforts | 0.629467 |
| comprehensive prevention strategies | 0.394655 |
| educational institutions | 0.34988 |
| social norms | 0.346469 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Announcements: World Water Day - March 22, 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. |
| mmwrq@cdc.gov. | 0.588817 |
| sustainable uses | 0.56776 |
| endorsement | 0.474632 |
| United Nations | 0.580208 |
| Human Services | 0.683792 |
| economic benefits | 0.569658 |
| assistive technology | 0.596629 |
| poverty eradication | 0.572023 |
| gains | 0.433146 |
| MMWR HTML versions | 0.690093 |
| U.S. Department | 0.678126 |
| water resources | 0.683469 |
| sanitation resources | 0.601535 |
| electronic PDF version | 0.68025 |
| e-mail | 0.463214 |
| different disciplines | 0.564527 |
| improved drinking water | 0.765683 |
| Additional information | 0.568321 |
| Contact GPO | 0.589363 |
| social equity | 0.56408 |
| commercial sources | 0.563573 |
| different types | 0.570427 |
| sustainable development | 0.568885 |
| current prices | 0.556808 |
|
| persons | 0.46126 |
| essential resources | 0.579362 |
| original paper copy | 0.687809 |
| General Assembly | 0.57372 |
| peace | 0.449031 |
| World Water | 0.885059 |
| U.S. Government Printing | 0.694955 |
| original MMWR paper | 0.684544 |
| global access | 0.570293 |
| MMWR readers | 0.566482 |
| character translation | 0.555605 |
| vital issue | 0.561084 |
| file | 0.431766 |
| format errors | 0.5561 |
| hygiene resources | 0.570073 |
| subject line | 0.591078 |
| Health | 0.447983 |
| typeset documents | 0.56286 |
| trade names | 0.563689 |
| water cooperation | 0.923815 |
| official text | 0.553712 |
| non-CDC sites | 0.560313 |
| organizations | 0.454874 |
| electronic conversions | 0.551989 |
|
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| 10182 |
Centers for Disease Control and Prevention |
Html |
es |
Cómo reconocer un congelamiento|Annuncio de servicio público |
Los Centros para el Control y la Prevención de Enfermedades (CDC) proveen anuncios de servicio público (PSA, por sus siglas en inglés) para compartir información que puede salvar vidas durante desastres naturales y situaciones de mal tiempo. Los PSA en inglés y en español están disponibles en una variedad de formatos que incluyen texto, audio y video. |
| Archivo Apple Quicktime | 0.655648 |
| Archivo RealPlayer | 0.562463 |
| Archivo Zip Comprimido | 0.666254 |
| Archivo Microsoft PowerPoint | 0.700615 |
|
| Archivo Microsoft Excel | 0.663817 |
| Archivo Adobe PDF | 0.663451 |
| Archivo Microsoft | 0.927172 |
| Archivo Microsoft Word | 0.694616 |
|
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| 11847 |
Centers for Disease Control and Prevention |
Html |
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Pertussis | Surveillance Trend Reporting and Case Definition | CDC |
Pertussis Surveillance and Reporting |
| Page | 0.241605 |
| B. pertussis | 0.57193 |
| pertussis | 0.997984 |
| control strategies | 0.27819 |
| pertussis incidence | 0.60431 |
| following information | 0.280249 |
| following symptoms | 0.28013 |
| View data | 0.282722 |
| pertussis cases | 0.84178 |
| pertussis surveillance worksheet | 0.697105 |
| pertussis special studies | 0.634417 |
| diagnostic laboratories | 0.291437 |
| enhanced surveillance | 0.288163 |
| additional information | 0.27601 |
| epidemiologic trends | 0.288906 |
| pertussis vaccines | 0.593207 |
| greatest risk | 0.282406 |
| graph | 0.229549 |
| pertussis surveillance | 0.711277 |
| View larger image | 0.50471 |
| pertussis laboratory results | 0.726942 |
| case definition | 0.493392 |
| laboratory diagnostics | 0.286068 |
| pertussis reports | 0.592672 |
| Territorial Epidemiologists | 0.28669 |
|
| cough duration | 0.314976 |
| case ascertainment | 0.286203 |
| laboratory-confirmed case | 0.291011 |
| Diphtheria Laboratory | 0.277293 |
| CDC NNDSS | 0.313718 |
| United States | 0.284305 |
| Acute cough illness | 0.37648 |
| age group | 0.285828 |
| clinical case definition | 0.493352 |
| Emerging Infections Program | 0.336445 |
| pertussis prevention | 0.568453 |
| likely diagnosis | 0.27919 |
| pertussis case-patients | 0.609612 |
| State health departments | 0.501314 |
| probable pertussis cases | 0.74799 |
| EPS sites | 0.337997 |
| Notifiable Diseases Surveillance | 0.391974 |
| appropriate health department | 0.374371 |
| standardized case definition | 0.371916 |
| data collection | 0.274762 |
| Bordetella species | 0.280245 |
| recent case definition | 0.370273 |
| clinical specimen | 0.279295 |
| CDC Pertussis | 0.583481 |
|
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| 12892 |
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Crashes are the leading cause of on-the-job death for truck drivers in the US |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| known risk factors | 0.290207 |
| company safety policies | 0.313534 |
| Mortality Weekly Report | 0.297429 |
| truck crashes | 0.32672 |
| CDC journal Morbidity | 0.305633 |
| health care-associated infections | 0.293492 |
| truck drivers | 0.902492 |
| on-the-job deaths | 0.260938 |
| large trucks | 0.360292 |
| Long-Haul Truck Driver | 0.368576 |
| company safety programs | 0.323348 |
| truck stops | 0.28368 |
| CDC Principal Deputy | 0.310808 |
| comprehensive driver safety | 0.316872 |
| Safety page | 0.27024 |
| Drivers page | 0.272544 |
| motor vehicle safety | 0.541242 |
| seat belt laws | 0.359777 |
| truck driver safety | 0.356137 |
| Director Ileana Arias | 0.303719 |
| seat belts | 0.334031 |
| motor carrier safety | 0.326333 |
| overall safety | 0.270945 |
| diverse body types | 0.287411 |
| Vital Signs | 0.4038 |
|
| United States | 0.310844 |
| primary seat belt | 0.365833 |
| vehicle passenger safety | 0.323411 |
| motor vehicle crash | 0.411112 |
| motor vehicle | 0.705151 |
| long-haul truck drivers | 0.679261 |
| Occupational Safety | 0.271264 |
| prescription drug overdose | 0.290193 |
| United States economy | 0.308525 |
| trucker safety | 0.271029 |
| unsafe driving behaviors | 0.2974 |
| key health indicators | 0.293984 |
| Vital Signs report | 0.403363 |
| latest Vital Signs | 0.317582 |
| crash fatalities | 0.263461 |
| NIOSH Motor Vehicle | 0.325641 |
| bus crashes | 0.311086 |
| road users | 0.260704 |
| food safety | 0.271201 |
| seat belt | 0.647791 |
| workplace safety program | 0.316324 |
| NIOSH Long-Haul Truck | 0.360069 |
| CDC report | 0.269014 |
| motor vehicle crashes | 0.455421 |
|
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Choose Effective Policies and Programs - Tools forSuccessful CHI Efforts - Chi Nav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| IRS Final Rule | 0.62855 |
| Health Needs Assessments | 0.831994 |
| appropriately matched interventions | 0.591976 |
| health equity | 0.34529 |
| interactive database | 0.328314 |
| innovative interventions | 0.462366 |
| physical environment | 0.475877 |
| impact evaluations | 0.33389 |
| key concept | 0.333631 |
| evidence-based strategies | 0.331949 |
| health behaviors | 0.475151 |
| evidence-informed interventions | 0.595975 |
| Evaluate Actions section | 0.447015 |
| CHI priorities | 0.345977 |
| Excise Tax Return | 0.409208 |
| local practice | 0.327331 |
| adequate resources | 0.338275 |
| community-based interventions | 0.494249 |
| Community Health Needs | 0.970874 |
| action plan | 0.421386 |
| Charitable Hospitals | 0.653565 |
| environmental strategies | 0.438591 |
| customizable template | 0.328008 |
| greatest disease burden | 0.429301 |
| United States | 0.329192 |
|
| clear ratings | 0.332551 |
| action areas | 0.334742 |
| program interventions | 0.495367 |
| Internal Revenue Service | 0.423008 |
| key concepts | 0.673768 |
| duplicative separate documents | 0.416461 |
| Health Needs Assessment | 0.474691 |
| joint implementation strategies. | 0.420178 |
| priority issues | 0.330294 |
| effective policies | 0.349557 |
| balanced portfolio | 0.476457 |
| unique populations | 0.334429 |
| population health programs | 0.447192 |
| clinical care | 0.469516 |
| socioeconomic factors | 0.474513 |
| health-equity considerations | 0.325055 |
| policy/systems-change interventions | 0.587017 |
| interventions | 0.662339 |
| cross-system strategies | 0.330335 |
| Evaluate Actions | 0.471909 |
| best practices | 0.448527 |
| complementary activities | 0.343356 |
| greatest impact | 0.324564 |
| Alignment Template | 0.336884 |
|
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WHO African Region (AFR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO African Region (AFR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| National Influenza Centres | 0.442679 |
| Global Influenza Surveillance | 0.582612 |
| severe influenza | 0.436864 |
| epidemiological surveillance activities | 0.277822 |
| Disease Control | 0.323947 |
| Response Team Influenza | 0.469019 |
| new cooperative agreements | 0.250413 |
| CDC Influenza Division | 0.469029 |
| weekly data | 0.284912 |
| seasonal influenza vaccines | 0.460305 |
| virologic surveillance systems | 0.301852 |
| World Health Organization | 0.3117 |
| surveillance data | 0.2549 |
| Indian Ocean | 0.334367 |
| seasonal influenza | 0.491996 |
| non-research cooperative agreements | 0.262561 |
| countries | 0.295975 |
| National Influenza Reference | 0.446602 |
| Congo | 0.341046 |
| cooperative agreements | 0.54052 |
| Influenza Division | 0.655706 |
| virological surveillance | 0.417511 |
| influenza laboratory network | 0.78296 |
| Regional Office | 0.447955 |
| South Africa | 0.25278 |
|
| Central African Republic | 0.336241 |
| influenza | 0.907517 |
| influenza reference laboratories | 0.540822 |
| building influenza surveillance | 0.556235 |
| Regional Influenza Laboratory | 0.46283 |
| national influenza sentinel | 0.714012 |
| U.S. Centers | 0.32507 |
| sentinel surveillance protocol | 0.306943 |
| influenza B. | 0.382284 |
| Integrated Disease Surveillance | 0.284923 |
| Sierra Leone | 0.463866 |
| National Influenza Centers | 0.472623 |
| bilateral cooperative agreements | 0.271903 |
| pandemic influenza | 0.489988 |
| Zimbabwe sentinel surveillance | 0.288286 |
| sustainable surveillance | 0.252591 |
| on-site training | 0.297089 |
| influenza sentinel surveillance | 0.765904 |
| technical assistance | 0.277292 |
| African Region | 0.274677 |
| afr influenza laboratory | 0.572326 |
| African influenza laboratories | 0.510673 |
| Burkina Faso | 0.270376 |
| influenza viruses | 0.379237 |
|
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