| 1173 |
Centers for Disease Control and Prevention |
Html |
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Progress Toward Polio Eradication - Worldwide,2013-2014 |
Edna K. Moturi, MBChB1, Kimberly A. Porter, PhD2, Steven G. |
| global polio eradication | 0.535185 |
| supplementary immunization activities | 0.426768 |
| international spread | 0.392203 |
| certify polio eradication | 0.407187 |
| Western Pacific Region | 0.333305 |
| additional dose SIAs | 0.361121 |
| wpv cases | 0.924216 |
| Administered Tribal Areas | 0.394097 |
| WPV1 cases | 0.623361 |
| previously polio-free countries | 0.584642 |
| World Health Organization | 0.443014 |
| outbreak response | 0.383301 |
| Routine Vaccination Coverage | 0.348656 |
| Rudolf H. Tangermann | 0.331793 |
| WPV importation | 0.421882 |
| countries | 0.689295 |
| Federally Administered Tribal | 0.388968 |
| international exportation | 0.333277 |
| 3Polio Eradication Department | 0.330414 |
| address health worker | 0.333932 |
| International Health Regulations | 0.332098 |
| Indigenous WPV transmission | 0.361048 |
| Afghanistan | 0.411996 |
| polio eradication | 0.794557 |
|
| polio vaccine | 0.35023 |
| cVDPV cases | 0.330558 |
| wild poliovirus | 0.333765 |
| Equatorial Guinea | 0.44281 |
| Ousmane M. Diop | 0.334994 |
| WPV3 cases | 0.370552 |
| Current WPV transmission | 0.364016 |
| polio vaccination | 0.353845 |
| Middle East | 0.330802 |
| surveillance quality | 0.378514 |
| Pakistan | 0.434997 |
| Khyber Pakhtunkhwa province | 0.415734 |
| new outbreaks | 0.343936 |
| Nigeria | 0.422659 |
| currently polio-affected countries | 0.373207 |
| public health | 0.335615 |
| polio workers | 0.333231 |
| Edna K. Moturi | 0.442359 |
| WPV type | 0.401633 |
| Polio cases | 0.470755 |
| World Health Assembly | 0.43621 |
| recent WPV importation | 0.372018 |
| Polio Outbreaks | 0.358011 |
| Global Polio Laboratory | 0.40955 |
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| 5577 |
Centers for Disease Control and Prevention |
Html |
en |
Hydrogen chloride - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7441 |
Centers for Disease Control and Prevention |
Html |
en |
About Cancer Clusters |
About Cancer Clusters |
| address cancer clusters | 0.597771 |
| cancer statistics | 0.453949 |
| death | 0.326209 |
| http://www.cdc.gov/other.htm#states | 0.324581 |
| United States | 0.585132 |
| similar characteristic | 0.458824 |
| occupations | 0.330208 |
| possible causes | 0.435422 |
| complex nature | 0.454884 |
| local health department | 0.541129 |
| greater-than-expected number | 0.42986 |
| result | 0.366515 |
| division | 0.326764 |
| hazard | 0.331781 |
| state health department | 0.850352 |
| term | 0.326891 |
| results | 0.327925 |
| cancer cluster | 0.910836 |
| deaths | 0.328942 |
| group | 0.327958 |
|
| area | 0.324783 |
| types | 0.324 |
| uncontrollable cell growth | 0.594379 |
| cases | 0.342602 |
| external cause | 0.475078 |
| Follow-up investigations | 0.462957 |
| different diseases | 0.447205 |
| lives | 0.325263 |
| Americans | 0.324016 |
| community | 0.32494 |
| heart | 0.326102 |
| form | 0.325747 |
| cancer registry contact | 0.554584 |
| case definition | 0.432948 |
| response | 0.324385 |
| cancers | 0.375003 |
| health department gathers | 0.545859 |
| information | 0.381759 |
| Confirmation | 0.334422 |
| e.g. | 0.324017 |
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| 8870 |
Centers for Disease Control and Prevention |
Html |
en |
MERS-Frequently Asked Questions |
CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness. |
| general public | 0.484912 |
| CDC | 0.577847 |
| Interim Infection Prevention | 0.48167 |
| Provides Quick Answers | 0.47853 |
| recent travel | 0.508425 |
| longer exposure time | 0.473929 |
| MERS-CoV | 0.607542 |
| Respiratory Syndrome Coronavirus | 0.522915 |
| MERS treatment | 0.607326 |
| MERS case | 0.672753 |
| public health authorities | 0.47961 |
| MERS symptoms | 0.630988 |
| MERS situation | 0.665338 |
| public health department | 0.481831 |
| Emergency Medical Service | 0.479175 |
| personal protective equipment | 0.59002 |
| CDC Laboratory Testing | 0.503488 |
| World Health Organization | 0.486034 |
| U.S. Executive Order | 0.479509 |
| CDC Interim U.S. | 0.509553 |
| public health partners | 0.488675 |
| active MERS-CoV infection | 0.498994 |
| MERS cases | 0.700785 |
| lab testing capacity | 0.478321 |
| U.S. MERS story | 0.65747 |
|
| East Respiratory Syndrome | 0.643151 |
| up-to-date information | 0.48341 |
| Arabian Peninsula | 0.670136 |
| respiratory illness | 0.621152 |
| United States | 0.484677 |
| Advanced Molecular Detection | 0.478728 |
| CDC’s job | 0.479682 |
| MERS Coronavirus | 0.622443 |
| MERS prevention | 0.612656 |
| viral respiratory illness | 0.518662 |
| Saudi Arabia | 0.538134 |
| infection control precautions | 0.485223 |
| complete virus genome | 0.482933 |
| acute respiratory syndrome | 0.490219 |
| close contact | 0.719088 |
| public health | 0.565269 |
| potential public health | 0.491099 |
| Middle East Respiratory | 0.645311 |
| travel-associated MERS cases | 0.668431 |
| United Arab Emirates | 0.552908 |
| people | 0.489452 |
| MERS-CoV infection | 0.559216 |
| healthcare provider | 0.613756 |
| enzyme-linked immunosorbent assay | 0.472325 |
|
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| 10584 |
Centers for Disease Control and Prevention |
Html |
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NIOSH Regulations |
null |
| workplace safety | 0.482171 |
| Respiratory Protective Devices | 0.603148 |
| Education Programs | 0.450072 |
| forth rules | 0.469487 |
| recommendations | 0.378559 |
| health regulations | 0.481332 |
| CFR | 0.34112 |
| research | 0.333656 |
| Occupational Safety | 0.627685 |
| World Trade Center | 0.592632 |
| following parts | 0.472314 |
| procedures | 0.330212 |
| Approval | 0.334836 |
| C.F.R. pt | 0.96738 |
| National Institute | 0.489044 |
|
| prevention | 0.333539 |
| Health Program | 0.456872 |
| illness | 0.334481 |
| requirements | 0.330176 |
| NIOSH | 0.785621 |
| Federal Regulations | 0.46372 |
| work-related injury | 0.509757 |
| agencies | 0.332754 |
| particular industry | 0.473422 |
| matters | 0.330048 |
| guidance | 0.33212 |
| NIOSH regulations | 0.642028 |
| Health Hazard Evaluations | 0.595301 |
| specific health | 0.471011 |
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| 10860 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Smoke-Free-Home Rules Among Women With Infants, 2004–2008- CDC |
Exposure to secondhand smoke increases risk for infant illness and death. The objective of this study was to estimate the prevalence of complete smoke-free–home rules (smoking not allowed anywhere in the home) among women with infants in the United States. |
| well-baby visits | 0.39033 |
| demographic characteristics | 0.377963 |
| complete smoke-free–home rules | 0.757924 |
| following statements | 0.381111 |
| study states | 0.39121 |
| partial smoking restrictions | 0.384235 |
| infant | 0.386215 |
| non-Hispanic black women | 0.422057 |
| complete smoke-free–home rule | 0.401875 |
| Disease Control | 0.372905 |
| state health departments | 0.427335 |
| infants | 0.454203 |
| well-baby visit | 0.369631 |
| following question | 0.375791 |
| postpartum smoking status | 0.533108 |
| unmarried women | 0.378432 |
| women | 0.642117 |
| smoking prevalence | 0.388517 |
| prevalence ratios | 0.390697 |
| overall prevalence | 0.387771 |
| United States | 0.43211 |
| partial rules | 0.450898 |
| maternal smoking status | 0.396485 |
| Arkansas | 0.375505 |
| states | 0.433488 |
|
| prevalence | 0.484497 |
| potential correlates | 0.411247 |
| Pregnancy Risk Assessment | 0.405123 |
| maternal postpartum check-up | 0.412112 |
| PRAMS data collection | 0.375708 |
| public smoking restrictions | 0.372926 |
| final multivariable model | 0.390737 |
| PRAMS data | 0.456517 |
| previous live birth | 0.384662 |
| first-week health care | 0.440341 |
| public health | 0.375522 |
| health care visit | 0.433834 |
| smoke-free–home rules | 0.905561 |
| infant age | 0.375784 |
| secondhand smoke exposure | 0.674649 |
| complete rules | 0.645831 |
| birth certificate | 0.369846 |
| annual household income | 0.438601 |
| New Jersey | 0.585456 |
| secondhand smoke increases | 0.395997 |
| Chronic Disease Prevention | 0.380499 |
| previous live births | 0.388963 |
| home smoking rules | 0.433116 |
| Risk Assessment Monitoring | 0.400363 |
|
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| 11131 |
Centers for Disease Control and Prevention |
Html |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 5.4 |
null |
| µg/g creatinine | 0.357064 |
| Estimate | 0.328935 |
| Total population | 0.348315 |
| urine concentrations | 0.464592 |
| Males | 0.404891 |
| Search Form Controls | 0.352543 |
| conf. interval | 0.616386 |
| creatinine | 0.368906 |
| file | 0.341445 |
| Geometric mean | 0.613449 |
| small cell size | 0.482136 |
| uncorrected urine value | 0.408406 |
| Urinary O-desmethylangolensin | 0.706688 |
| limit | 0.355721 |
| Serum | 0.350159 |
| u.s. population | 0.479584 |
| Nutrition Examination Survey | 0.583989 |
| Biochemical Indicators | 0.329523 |
| National Report | 0.326596 |
| LOD | 0.996761 |
| Tweet Share Compartir | 0.330324 |
|
| valid result | 0.330024 |
| greater uncertainty | 0.410854 |
| percentiles | 0.400359 |
| Mexican Americans | 0.394146 |
| detection | 0.356019 |
| Table | 0.411352 |
| non-hispanic whites | 0.389482 |
| Iodine Urinary iodine | 0.327855 |
| Lignans Urinary genistein | 0.329269 |
| Sample | 0.34928 |
| page options Skip | 0.328306 |
| Search Controls | 0.327856 |
| non-hispanic blacks | 0.391932 |
| total U.S. population | 0.347683 |
| Appendix | 0.347751 |
| National Health | 0.463013 |
| Trace Elements | 0.325498 |
| Serum transferrin saturation | 0.326212 |
| LOD†| 0.454063 |
| compounds | 0.349207 |
| page | 0.377012 |
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| 11164 |
Centers for Disease Control and Prevention |
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Transplant Safety | Frequently Asked Questions |
CDC – Information to help make organ and tissue transplants the highest quality possible so that recipients have the best outcomes. |
| OPOs | 0.320983 |
| certain diseases | 0.375266 |
| medical history | 0.369687 |
| organ recipient | 0.507195 |
| larger number | 0.371042 |
| Organ Sharing | 0.453479 |
| heart valves | 0.379577 |
| Patient Safety | 0.36583 |
| communicable disease transmissions | 0.514915 |
| potential donor | 0.846687 |
| MedWatch surveillance | 0.35064 |
| healthcare facility | 0.364601 |
| test results | 0.368296 |
| body views | 0.396556 |
| state public health | 0.493115 |
| Transplantation Network | 0.365741 |
| deceased donors | 0.389216 |
| human immunodeficiency virus | 0.509404 |
| eye bank | 0.363539 |
| donor recovery hospitals | 0.650986 |
| notifiable infectious disease | 0.509525 |
| permanent damage | 0.354805 |
| recipient infection | 0.384268 |
| United States | 0.374461 |
| tissue banks | 0.711916 |
|
| tissue donation | 0.57555 |
| tissue recovery organizations | 0.953467 |
| notifiable diseases | 0.373167 |
| surgical intervention | 0.356934 |
| tissue supplier | 0.536591 |
| United Network | 0.359185 |
| organ procurement organizations | 0.619188 |
| state health department | 0.48912 |
| certain medications | 0.408378 |
| donor-derived disease transmissions | 0.518236 |
| organ recovery | 0.46846 |
| potential kidney donors | 0.531479 |
| organs | 0.313387 |
| medical history. | 0.3755 |
| certain tests | 0.3739 |
| social history | 0.37287 |
| immune cells | 0.377403 |
| donor’s risk | 0.505475 |
| hepatitis C virus | 0.362402 |
| Healthcare facilities | 0.355096 |
| eye recovery banks | 0.573828 |
| eye banks | 0.640813 |
| healthy person | 0.370628 |
| small number | 0.367489 |
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| 12592 |
Centers for Disease Control and Prevention |
Video |
en |
REACH- Community Diabetes Education Program -- Greater Lawrence Family Health Center, Massachusetts |
Hear a personal story about how a community diabetes education program helped a woman learn to better manage her diabetes medications.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod2.php?id=1241f02bcf492446f0552a6dd1166edf20130306101105062 |
| Program | 0.22669 |
| Health Center | 0.492814 |
| Massachusetts | 0.22485 |
|
| Community Diabetes Education | 0.975549 |
| Greater Lawrence Family | 0.92576 |
|
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| 13194 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Leading Causes of Death, Prevalence of Diseasesand Risk Factors, and Use of Health Services Among Hispanics in theUnited States - 2009-2013 |
Kenneth Dominguez1, Ana Penman-Aguilar2, Man-Huei Chang1, Ramal Moonesinghe2, Ted Castellanos3, Alfonso Rodriguez-Lainz4, Richard Schieber5 (Author affiliations at end of text). |
| data | 0.501387 |
| health insurance | 0.571641 |
| higher prevalence | 0.521121 |
| Hispanic origin subgroup | 0.566081 |
| Puerto Ricans | 0.577821 |
| age-adjusted death rates | 0.498866 |
| Hispanic health | 0.524878 |
| Hispanic origin subgroups | 0.788396 |
| health insurance status | 0.50496 |
| whites | 0.593738 |
| health outcomes | 0.484687 |
| foreign-born Hispanics | 0.649509 |
| chronic liver disease | 0.599425 |
| lower death rates | 0.536145 |
| U.S. Hispanics | 0.555772 |
| hypertensive Hispanic women | 0.487577 |
| risk factors | 0.584434 |
| Hispanic origin | 0.979856 |
| U.S.-born Hispanics | 0.628864 |
| Hispanic origin groups | 0.55997 |
| health surveillance data | 0.483167 |
| Hispanic origin subpopulations | 0.492729 |
| higher death rates | 0.599627 |
| death rates | 0.757471 |
| chronic liver disease/cirrhosis | 0.553354 |
|
| United States | 0.649754 |
| hypertensive renal disease | 0.527554 |
| prevalence | 0.543958 |
| hypertensive Hispanic men | 0.485839 |
| data collection strategy | 0.483566 |
| self-reported disease prevalence | 0.51509 |
| heart disease | 0.599801 |
| health services | 0.501732 |
| Hispanic all-cause mortality | 0.489568 |
| self-reported smoking prevalences | 0.510158 |
| multiple Hispanic origin | 0.494815 |
| non-Hispanic whites | 0.48287 |
| health care | 0.572208 |
| public health | 0.517276 |
| national health estimates | 0.510844 |
| instances U.S.-born Hispanics | 0.554766 |
| Hispanic leading causes | 0.499741 |
| Hispanic life expectancy | 0.486775 |
| health | 0.64842 |
| Hispanic paradox | 0.480051 |
| higher prevalences | 0.481744 |
| culturally appropriate health | 0.480128 |
| systematic data collection | 0.481864 |
| analyzed health factors | 0.479359 |
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