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Celebrate African American History Month | CDC Features |
This February celebrate African American History Month and Heart Health Month. Learn about how heart disease impacts African Americans, the Million Hearts initiative, and how to improve your heart health. |
| older individuals | 0.470967 |
| free quit plan | 0.529494 |
| G. Woodson | 0.485366 |
| aggressive cancers | 0.470067 |
| ethnic groups | 0.537221 |
| long-term health problems | 0.522823 |
| non-Hispanic Whites | 0.612115 |
| National African American | 0.57585 |
| obesity | 0.470496 |
| highest death rates | 0.534686 |
| timely follow-up | 0.469621 |
| white adults | 0.478357 |
| highest level | 0.476948 |
| Black History | 0.538098 |
| annual medical cost | 0.526923 |
| white women | 0.566748 |
| economic resources | 0.470902 |
| black women | 0.577356 |
| free educational materials | 0.526895 |
| higher rates | 0.469331 |
| Spanish speakers | 0.469681 |
| heart attacks | 0.481348 |
| federal poverty level | 0.534347 |
| heart attack | 0.481722 |
| United States | 0.632012 |
|
| African descent | 0.499607 |
| African Americans | 0.842099 |
| U.S. President | 0.477484 |
| medical experts | 0.469578 |
| African American adults | 0.869131 |
| Physical Activity Guidelines | 0.524137 |
| free quit coaching | 0.529582 |
| heart disease | 0.929801 |
| African American community | 0.550221 |
| African American History | 0.693104 |
| black people | 0.478844 |
| cardiovascular disease | 0.547946 |
| higher risk | 0.471081 |
| impact African Americans | 0.583022 |
| black men | 0.532648 |
| breast cancer | 0.588272 |
| Breast cancer deaths | 0.546426 |
| highest rates | 0.521713 |
| stroke | 0.499088 |
| American historian Carter | 0.554005 |
| Nearly half | 0.470737 |
| high blood pressure | 0.880414 |
| family history | 0.471831 |
| cancer | 0.626267 |
|
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Section 914 of the Federal Food, Drug, and Cosmetic Act -Jurisdiction of and Coordination with the Federal Trade Commission |
null |
| chapter | 0.545731 |
| practice | 0.517569 |
| Secretary | 0.541451 |
| Health Education Act | 0.680728 |
| Enforcement. Any advertising | 0.599591 |
| jurisdiction | 0.637515 |
| Tobacco Control Act | 0.705354 |
| section | 0.612266 |
| distribution | 0.518093 |
| deceptive act | 0.619735 |
| Federal Trade Commission | 0.954314 |
| Trade Commission Act | 0.683614 |
| Comprehensive Smokeless Tobacco | 0.710181 |
| Coordination. | 0.51713 |
| Advertising Act | 0.597502 |
| Cosmetic Act | 0.704281 |
| Drug | 0.54021 |
|
| requirements | 0.530866 |
| laws | 0.518196 |
| Coordination | 0.551418 |
| Federal Cigarette Labeling | 0.684282 |
| label statements | 0.597641 |
| Federal Food | 0.700553 |
| respect | 0.542039 |
| Chairman | 0.5455 |
| tobacco products | 0.621497 |
| sale | 0.518117 |
| provision | 0.519519 |
| violation | 0.523535 |
| regulations | 0.517749 |
| authority | 0.517131 |
| General | 0.520061 |
| deceptive acts | 0.609422 |
| cigarettes | 0.519117 |
|
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Introduction |
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. |
| timely continuous monitoring | 0.252596 |
| new office | 0.234137 |
| Human Services | 0.246297 |
| Risk Factor Surveillance | 0.332063 |
| CDC/ATSDR employee organization | 0.263664 |
| health surveillance scientists | 0.366766 |
| MMWR HTML versions | 0.250626 |
| U.S. Department | 0.246321 |
| impending mass adoption | 0.254548 |
| public health departments | 0.294989 |
| electronic PDF version | 0.251883 |
| surveillance capacities | 0.319891 |
| H1N1 pandemic influenza | 0.251703 |
| public health surveillance | 0.926043 |
| meeting | 0.242049 |
| Bacillus anthracis spores | 0.255423 |
| population health | 0.2482 |
| cross-cutting surveillance systems | 0.334921 |
| new challenges | 0.234337 |
| program office | 0.300016 |
| MMWR supplement | 0.260655 |
| original paper copy | 0.247162 |
| health surveillance practice | 0.390214 |
| CDC/ATSDR scientists | 0.266301 |
|
| Surveillance Science Advisory | 0.340404 |
| surveillance specialists | 0.313727 |
| United States | 0.259832 |
| original MMWR paper | 0.252803 |
| multiple CDC/ATSDR centers | 0.260437 |
| planning committee members | 0.252374 |
| CDC/ATSDR leadership | 0.240464 |
| public health community | 0.333735 |
| CDC/ATSDR reorganization | 0.238482 |
| public health informatics | 0.293125 |
| 21st century | 0.259398 |
| urgent public health | 0.297587 |
| health departments | 0.29542 |
| Informatics Program Office | 0.261275 |
| local health departments | 0.274827 |
| health care | 0.249865 |
| CDC/ATSDR nexus | 0.237205 |
| Notifiable Diseases Surveillance | 0.333276 |
| CDC/ATSDR surveillance systems | 0.344111 |
| electronic health records | 0.354029 |
| Health Surveillance Program | 0.361787 |
| surveillance science | 0.347381 |
| meeting deliberations | 0.235177 |
| health risks | 0.254395 |
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Haiti close to eliminating lymphatic filariasis | CDC Online Newsroom | Press Release |
Haiti close to eliminating lymphatic filariasis |
| Dr. Beau | 0.49503 |
| difficult times | 0.483326 |
| Valery | 0.339753 |
| country. | 0.335652 |
| treatment regimen | 0.5097 |
| extraordinary accomplishment | 0.513875 |
| limitations | 0.336037 |
| mosquitoes | 0.34309 |
| World Health Organization | 0.681522 |
| irreversible disfigurement | 0.536349 |
| CDC Director Tom | 0.672833 |
| public health partners | 0.68158 |
| elephantiasis | 0.356434 |
| countries | 0.335006 |
| lymphatic filariasis | 0.966551 |
| Haitians | 0.428098 |
| public health experts | 0.724695 |
| community treatment program | 0.663681 |
| complexities | 0.341775 |
| debilitating disease | 0.497912 |
| personal sacrifice | 0.477799 |
| HUMAN SERVICES | 0.478003 |
| millions | 0.386953 |
| earthquake. Adequate community | 0.665744 |
| Haiti | 0.784961 |
|
| Americas | 0.332854 |
| filarial worm parasites | 0.706209 |
| chronic pain | 0.488729 |
| camps. CDC | 0.529065 |
| conjunction | 0.332673 |
| U.S. DEPARTMENT | 0.478285 |
| M.P.H | 0.34653 |
| tent communities | 0.489233 |
| earthquake relief funds | 0.643406 |
| public health | 0.859958 |
| LF elimination efforts | 0.819727 |
| cents | 0.33963 |
| urban areas | 0.475695 |
| Rochars | 0.351285 |
| highest rates | 0.52323 |
| people | 0.391188 |
| effective medicines | 0.483739 |
| health best buy | 0.659253 |
| Frieden | 0.349757 |
| Port-au-Prince | 0.3539 |
| step | 0.335804 |
| Madsen E. Beau | 0.663495 |
| parasitic disease | 0.526302 |
| extraordinary measures | 0.488388 |
|
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Health Statistics |
Protecting the public's health involves making critical health decisions that can affect millions of people. So it is vital that decision makers have accurate, relevant health information. |
| actual exams | 0.541652 |
| quality control test | 0.649487 |
| health information | 0.952375 |
| American people | 0.552767 |
| health services research | 0.755303 |
| health inequalities | 0.636739 |
| days—greatly improving CDC | 0.709745 |
| nutrition status | 0.543729 |
| Nutrition Examination Survey | 0.906874 |
| High blood mercury | 0.68529 |
| National Healthcare Surveys | 0.680967 |
| electronic death registration | 0.670659 |
| blood mercury levels | 0.8434 |
| public health partners | 0.753939 |
| Health Interview Survey | 0.762497 |
| real survey participants | 0.657921 |
| National Vital Statistics | 0.677192 |
| decision makers | 0.555715 |
| nutritional health | 0.618291 |
| population characteristics | 0.545035 |
| National Health | 0.773769 |
| major data systems | 0.671042 |
| usual blood tests | 0.659007 |
| higher mercury levels | 0.659924 |
| health protection agency | 0.762311 |
|
| Jill | 0.559257 |
| medical sector | 0.539162 |
| routine physical exams | 0.657695 |
| electronic medical record | 0.660216 |
| fish—especially certain species | 0.637358 |
| blood mercury level | 0.675908 |
| dry-run exams | 0.544962 |
| critical health decisions | 0.781471 |
| U.S. health | 0.627305 |
| essential information | 0.561308 |
| relevant health information | 0.801405 |
| NHANES visits | 0.550122 |
| local health departments | 0.717326 |
| Examination Center | 0.542743 |
| long-term health | 0.603221 |
| mental issues | 0.536837 |
| public health applications | 0.75744 |
| household health survey | 0.756704 |
| health pulse | 0.630991 |
| quality health information | 0.767629 |
| NHANES dry-run exam | 0.666537 |
| data access | 0.543862 |
| potentially dangerous health | 0.71625 |
| healthcare settings | 0.536464 |
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ELISA Software for Bioassays | Manual | Template Design |
Module 2 of the ELISA for Windows user's manual: Template Design. |
| new template | 0.43157 |
| standards block | 0.426199 |
| 96-well ELISA plate | 0.323148 |
| Block Info box | 0.746602 |
| unknowns | 0.320553 |
| quality control samples | 0.744752 |
| single point dilution | 0.291738 |
| template creation description | 0.349883 |
| future block definitions | 0.404279 |
| old template file | 0.365168 |
| data entry fields | 0.345809 |
| Block ID | 0.463168 |
| data entry field | 0.327709 |
| subsequent block | 0.367353 |
| newly created template | 0.352017 |
| command button | 0.717543 |
| newly defined block | 0.412115 |
| reciprocal dilution numbers | 0.298818 |
| left mouse button | 0.45005 |
| unique block identifier | 0.398816 |
| block designation | 0.364836 |
| block | 0.920286 |
|
| file selection dialog | 0.50206 |
| template design option | 0.358921 |
| file list box | 0.36943 |
| particular block | 0.381726 |
| ‘View Plate | 0.360431 |
| single dilution value | 0.292473 |
| original template file | 0.358695 |
| template formats | 0.34628 |
| plate schematic diagram | 0.292161 |
| main menu | 0.358973 |
| selection dialog window | 0.423283 |
| block identifiers | 0.36381 |
| file name box | 0.295308 |
| default dialog window | 0.295994 |
| Replicate Information box | 0.29256 |
| dilution | 0.312319 |
| template module | 0.347816 |
| information | 0.325607 |
| new block | 0.40082 |
| blank template | 0.314588 |
| template file selection | 0.652985 |
| data entry | 0.35019 |
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National Exposure Report - Frequently Asked Questions |
null |
| higher percentiles | 0.478911 |
| CDC | 0.607037 |
| data | 0.502064 |
| non-Hispanic Asians | 0.490377 |
| CDC’s National | 0.564455 |
| urine | 0.516276 |
| U.S. civilian population | 0.516585 |
| human exposure | 0.612594 |
| State Biomonitoring Cooperative | 0.485497 |
| exposure information | 0.563607 |
| Disease Control | 0.490492 |
| low levels | 0.492066 |
| persistent chemicals | 0.497501 |
| Nutrition Examination Survey | 0.564904 |
| National Center | 0.486373 |
| human health effects | 0.496394 |
| health statistics | 0.512273 |
| public health officials | 0.572914 |
| National Exposure Report | 0.744797 |
| National Health | 0.505821 |
| Environmental Health Laboratory | 0.564397 |
| urine levels | 0.504526 |
| specific environmental chemicals | 0.529532 |
| health effects | 0.595366 |
| Updated Tables | 0.920997 |
|
| chemical measurements | 0.490185 |
| National Exposure Reports | 0.54824 |
| cumulative online update | 0.4851 |
| state population-based biomonitoring | 0.485979 |
| greater exposure | 0.496362 |
| environmentally related information | 0.492149 |
| National Report | 0.525304 |
| new National Exposure | 0.546557 |
| Environmental Chemicals site | 0.530424 |
| National Tobacco Control | 0.483376 |
| health | 0.607703 |
| 2-year NHANES period | 0.4802 |
| environmental chemicals | 0.936449 |
| non-hispanic blacks | 0.488937 |
| complex measurement methods | 0.483984 |
| U.S. population | 0.822248 |
| environmental tobacco smoke | 0.550358 |
| analytical methods | 0.509758 |
| blood | 0.501747 |
| public health efforts | 0.494685 |
| unique exposure information | 0.539727 |
| Health threshold levels | 0.513096 |
| CDC environmental health | 0.556191 |
| levels | 0.602908 |
|
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Avoid Mosquito Bites in the American Tropics | CDC Features |
Heading to the American Tropics for Spring Break? Don’t let mosquitoes and the diseases they carry ruin your vacation. |
| unusual bruising | 0.557527 |
| Insect Bites | 0.6294 |
| mosquito bites | 0.697165 |
| sex partners | 0.56152 |
| Zika infection | 0.589794 |
| Zika virus | 0.699824 |
| visit Insect Repellents | 0.691594 |
| best way | 0.725096 |
| severe birth defects | 0.691301 |
| latest information | 0.555699 |
| Zika | 0.813563 |
| travel health kit | 0.670324 |
| muscle pain | 0.594119 |
| joint swelling | 0.560268 |
| product label instructions | 0.651235 |
| chikungunya viruses | 0.766301 |
| trip | 0.597997 |
| following active ingredients | 0.643117 |
| breast-feeding women | 0.547625 |
| pregnant woman | 0.563336 |
| severe headache | 0.559425 |
| pain relief | 0.570882 |
| mosquitoes | 0.607216 |
|
| Zika viruses | 0.573218 |
| bone pain | 0.701246 |
| Severe dengue | 0.718346 |
| -registered insect repellents | 0.70286 |
| Wear long-sleeved shirts | 0.65783 |
| joint pain | 0.966651 |
| severe pain | 0.598889 |
| dengue | 0.960091 |
| bites | 0.83026 |
| insect repellents | 0.705902 |
| people | 0.642317 |
| chikungunya | 0.917914 |
| common symptoms | 0.688551 |
| travel medicine clinic | 0.669669 |
| infected person | 0.568338 |
| rash | 0.605063 |
| insect repellent | 0.740716 |
| lemon eucalyptus | 0.690511 |
| healthcare provider | 0.915045 |
| Need help | 0.546336 |
| high fever | 0.56941 |
| country-specific health risks | 0.663314 |
| Environmental Protection Agency | 0.921698 |
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Unreported Male Sex Partners Among Men with Newly Diagnosed HIV Infection - North Carolina, 2011-2013 |
Hsiu Wu, MD1; Lisa B. Hightow-Weidman, MD2; Cynthia L. Gay, MD2; Xinjian Zhang, PhD1; Steve Beagle2; Laura Hall, MPH1,3; Tonyka Jackson, MPH1,3; Jenni Marmorino, PhD2; Ann N. |
| North Carolina | 0.439616 |
| accurately reporting risk | 0.209484 |
| sexual networks | 0.239609 |
| HIV-infected MSM | 0.316886 |
| risk behaviors | 0.35303 |
| STD clinics | 0.230421 |
| New York City | 0.273358 |
| HIV-infected sex partners | 0.216618 |
| HIV infection diagnosis | 0.222118 |
| pretest counseling | 0.779001 |
| acute HIV infection | 0.332966 |
| male sex partner | 0.260205 |
| HIV diagnosis | 0.213792 |
| newly diagnosed HIV | 0.350962 |
| Philip J. Peters | 0.218171 |
| partner services interviews | 0.313401 |
| HIV prevention programs | 0.25685 |
| health care providers | 0.242152 |
|
| African American MSM | 0.249755 |
| participants | 0.225898 |
| MSM participants | 0.209935 |
| HIV acquisition | 0.216468 |
| female sex partners | 0.239372 |
| male partners | 0.265131 |
| MSM | 0.479453 |
| partner services interview | 0.416692 |
| partner services | 0.63779 |
| HIV negative MSM | 0.256557 |
| HIV risk factors | 0.207542 |
| male sex partners | 0.991612 |
| HIV testing venues | 0.20938 |
| HIV prevention interventions | 0.288789 |
| HIV testing | 0.309054 |
| HIV-infected partner | 0.218242 |
| HIV infection | 0.609691 |
| female sex partner | 0.291043 |
|
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Cigarette Smoking Among Socioeconomically Disadvantaged Young Adults in Association With Food Insecurity and Other Factors |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| smoking cessation interventions | 0.571533 |
| nondaily smoking patterns | 0.577065 |
| past-year food insecurity | 0.757413 |
| young adulthood | 0.57017 |
| binge drinking | 0.555459 |
| psychological distress | 0.621895 |
| past-year psychological distress | 0.548451 |
| higher smoking prevalence | 0.625092 |
| current smokers | 0.586275 |
| Low socioeconomic status | 0.559379 |
| food insecurity module | 0.60534 |
| food insecurity rates | 0.603572 |
| smoking status | 0.663855 |
| food insecurity | 0.980975 |
| current smoking | 0.673901 |
| current cigarette smoking | 0.57773 |
| alcohol | 0.546251 |
| nondaily smokers | 0.573197 |
| significant bivariate association | 0.545053 |
| nondaily smoking | 0.692194 |
| high smoking prevalence | 0.577437 |
| Health Interview Survey | 0.554897 |
| better understanding smoking | 0.570661 |
| worsens food insecurity | 0.597098 |
| smoking cessation | 0.579864 |
|
| young adults | 0.869195 |
| disadvantaged young adults | 0.611366 |
| sociodemographic characteristics | 0.556544 |
| household food insecurity | 0.598797 |
| social smoking | 0.572622 |
| study | 0.547553 |
| insecure promotes smoking | 0.574119 |
| logistic regression analyses | 0.543934 |
| smokers | 0.592328 |
| tobacco-related health disparities | 0.550389 |
| California Health Interview | 0.555345 |
| cigarette smoking | 0.66209 |
| socioeconomic differences | 0.545214 |
| limited English proficiency | 0.546353 |
| smoking | 0.80688 |
| higher smoking rates | 0.583715 |
| severe psychological distress | 0.608567 |
| smoking initiation | 0.562319 |
| daily smoking | 0.590663 |
| Food Security Survey | 0.557842 |
| daily smokers | 0.566016 |
| smoking frequency | 0.640357 |
| San Francisco | 0.554242 |
| multinomial logistic regression | 0.549727 |
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