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Campaigns - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| Seasonal Flu | 0.670756 |
| reports | 0.504338 |
| H1N1 Web | 0.582216 |
| contact socialmedia | 0.60642 |
| Social Media | 0.805979 |
| CDC eHealth channels | 0.954077 |
| H1N1 outbreak | 0.638924 |
| format | 0.435847 |
| additional metrics data | 0.884627 |
| messaging | 0.444815 |
|
| PDF | 0.465205 |
| health communication | 0.618274 |
| MB | 0.454808 |
| cdc.gov | 0.433624 |
| archived weekly metrics | 0.972205 |
| CDC-INFO activities | 0.80451 |
| metrics snapshot | 0.726325 |
| report | 0.456131 |
| information | 0.43378 |
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PanFlu Storybook - I Survived, Dr. Otto Wernecke |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| siblings | 0.349974 |
| scarlet fever | 0.564403 |
| brothers | 0.342031 |
| rural Manitowoc | 0.682679 |
| flu epidemic | 0.598511 |
| family stories | 0.516122 |
| Louise | 0.404788 |
| mother | 0.455342 |
| wonderful man | 0.534947 |
| son | 0.34569 |
| father′s death | 0.52072 |
| casket | 0.354064 |
| Rev. Machmiller | 0.541519 |
| sister | 0.340342 |
| 2–year–old daughter Frieda | 0.8048 |
| little ones | 0.539785 |
| father′s funeral | 0.546732 |
| wife | 0.398218 |
| dentist | 0.352218 |
| I′ve | 0.341133 |
| brother Henry | 0.529717 |
| Caroline Wernecke Pharris | 0.94684 |
| millinery store | 0.5767 |
| flu pandemic | 0.577639 |
| dental work | 0.541762 |
|
| fact | 0.341815 |
| unnecessary contagion | 0.580599 |
| Cleveland | 0.342831 |
| happy memories | 0.51558 |
| Margaret | 0.34144 |
| Storyteller | 0.351502 |
| village | 0.346357 |
| Caroline Kansier | 0.597887 |
| Wisconsin | 0.403564 |
| pastor | 0.342128 |
| disease | 0.346053 |
| couldn′t | 0.341017 |
| sisters | 0.34201 |
| people | 0.392049 |
| trajectory | 0.352146 |
| large department stores | 0.712871 |
| three–year–old | 0.341963 |
| Dr. Otto Wernecke | 0.918979 |
| tragedy | 0.348082 |
| money | 0.343498 |
| Ohio | 0.342811 |
| grandparents′ parlor | 0.562201 |
| time | 0.511444 |
| age | 0.343302 |
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Information for Workers | Lightning |
CDC provides lightning information and steps to protect yourself while working outside or engaging in outdoor recreational activities. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
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Indoor Firing Ranges - NIOSH Workplace Safety and Health Topic |
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| Noise exposure assessment | 0.366077 |
| Police Department | 0.326161 |
| Noise exposure profiles | 0.375086 |
| high-intensity noise | 0.325719 |
| Noise control solutions | 0.33304 |
| Int J Audiol | 0.286142 |
| Noise mitigation | 0.295815 |
| impulsive noise | 0.326627 |
| Workplace Solutions document | 0.33181 |
| two-page Workplace Solutions | 0.335224 |
| health hazards | 0.292079 |
| NIOSH Publication | 0.288614 |
| outdoor firing range | 0.378909 |
| law enforcement officers | 0.28178 |
| occupational shooters | 0.276697 |
| Occupational Exposures | 0.278965 |
| Park Police Department | 0.276597 |
| Noise Control Eng | 0.39024 |
| Indoor Shooting Ranges | 0.368588 |
| airborne lead | 0.353418 |
| ASTM Int | 0.285241 |
| Range Design Criteria | 0.279541 |
| indoor firing range | 0.546461 |
| noise exposure | 0.398961 |
| lead exposure | 0.389209 |
|
| Outdoor Firing Ranges | 0.501179 |
| occupational exposure | 0.310546 |
| firing range facilities | 0.420993 |
| health hazard evaluation | 0.970511 |
| noise | 0.427937 |
| indoor firing ranges | 0.741828 |
| design considerations | 0.279558 |
| airborne lead exposures | 0.337983 |
| Range Officer Exposure | 0.315558 |
| peak insertion loss | 0.34257 |
| indoor firing | 0.934059 |
| noise exposures | 0.352866 |
| impulse peak insertion | 0.342212 |
| Blood Lead Levels | 0.298385 |
| hazard evaluation report | 0.986557 |
| exposure standards | 0.291533 |
| Publication No. | 0.283406 |
| Firing Range Design | 0.378564 |
| inclement weather conditions | 0.28724 |
| Military Firing Range | 0.376469 |
| Acoust Soc | 0.316329 |
| Firearm Noise | 0.286889 |
| Health Hazard Evaluations | 0.339335 |
| firing range operations | 0.417221 |
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Recommendations for Breastfeeding/Infant Feeding in the Context of Ebola |
null |
| Ebola haemorrhagic fever | 0.437557 |
| Infectious Diseases. | 0.364498 |
| Infection Control | 0.337811 |
| Dowell SF | 0.333582 |
| safe ways | 0.333291 |
| Ebola virus transmission | 0.483364 |
| case-by-case basis | 0.338291 |
| death overall3 | 0.334048 |
| breastfeeding mother | 0.394925 |
| infant | 0.362587 |
| ill mother | 0.349917 |
| ebola virus | 0.904023 |
| Bausch DG | 0.333891 |
| Ebola Virus–Positive Mother | 0.453754 |
| lactating woman | 0.337052 |
| resource-limited settings | 0.333563 |
| Emerg Infect Dis. | 0.358302 |
| Obstetric Services | 0.332207 |
| Peacock G. Live | 0.356259 |
| acceptable substitute | 0.335562 |
| Infant Formula | 0.344929 |
| Jamieson DJ | 0.329939 |
| ebola virus disease | 0.578641 |
| body fluids | 0.338346 |
| best choice | 0.336313 |
|
| Vega M-A | 0.333766 |
| symptoms | 0.311876 |
| EVD | 0.378192 |
| different lactating women | 0.359419 |
| high risk | 0.356235 |
| Epub | 0.314563 |
| Towner JS | 0.333555 |
| Twin Babies | 0.329777 |
| Ebola virus infection | 0.572981 |
| United States | 0.331971 |
| infant care | 0.350191 |
| signs | 0.31188 |
| safe alternatives | 0.36898 |
| close contact | 0.447147 |
| decisions | 0.312471 |
| genetic material | 0.366151 |
| known risk | 0.333827 |
| World Health Organization. | 0.356891 |
| bodily fluids | 0.332069 |
| breast milk | 0.610406 |
| Donor breast milk | 0.382551 |
| et al | 0.396149 |
| breastfeeding status | 0.375286 |
| baby | 0.333346 |
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Notes from the Field: Listeriosis Associated with StoneFruit - United States, 2014 |
Brendan R. Jackson, MD1, Monique Salter, MPH2, Cheryl Tarr, PhD1, Amanda Conrad, MPH1,3, Emily Harvey4, Lisa Steinbock5, Amy Saupe, MPH6, Alida Sorenson, MPH7, Lee Katz, PhD1, Steven Stroika1, Kelly A. Jackson, MPH1, Heather Carleton, PhD1, Zuzana Kucerova, MD, PhD1, David Melka2, Errol Strain, PhD2, Mickey Parish, PhD2, Rajal K. |
| single nucleotide polymorphism | 0.681525 |
| stone fruit consumption | 0.785671 |
| Brendan R. Jackson | 0.765801 |
| human isolates | 0.721666 |
| WGS results | 0.701987 |
| Zuzana Kucerova | 0.651885 |
| pregnant women | 0.703206 |
| fresh stone fruits | 0.703069 |
| Zoonotic Infectious Diseases | 0.67436 |
| foodborne disease surveillance | 0.682342 |
| Listeria Initiative exposure | 0.690843 |
| packing company | 0.658261 |
| Kelly A. Jackson | 0.691478 |
| Amy Saupe | 0.651106 |
| Listeria monocytogenes | 0.695386 |
| stone fruit | 0.953575 |
| stone fruits | 0.839501 |
| organic nectarine consumption | 0.687468 |
| initial recall | 0.669242 |
| L. monocytogenes | 0.829484 |
| automated telephone calls | 0.683217 |
| Monique Salter | 0.650788 |
| PFGE patterns | 0.680228 |
| internal company testing | 0.702303 |
|
| two-enzyme pulsed-field gel | 0.682951 |
| Minnesota patient | 0.656773 |
| United States | 0.650997 |
| human listeriosis | 0.66375 |
| peaches | 0.660177 |
| Drug Administration | 0.687322 |
| South Carolina | 0.734585 |
| David Melka | 0.650427 |
| shopper card data | 0.755617 |
| Listeriosis Associated | 0.682255 |
| Alida Sorenson | 0.652613 |
| ready-to-eat fresh fruit | 0.699678 |
| recall | 0.683468 |
| possible L. monocytogenes | 0.706381 |
| food exposure interviews | 0.680633 |
| local health departments | 0.685979 |
| Massachusetts patient | 0.659512 |
| Illinois patient | 0.654142 |
| higher risk | 0.670791 |
| whole-genome multilocus sequence | 0.679833 |
| Rajal K. Mody | 0.697779 |
| CDC Listeria website | 0.69717 |
| Northampton Health Department | 0.67901 |
| national molecular subtyping | 0.685583 |
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Opioid Overdose Prevention Programs Providing Naloxone toLaypersons - United States, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| opioid drug overdose | 0.423422 |
| number | 0.373936 |
| organizations provided naloxone | 0.410381 |
| reduces overdose deaths | 0.393158 |
| prescription opioid analgesics | 0.392876 |
| family members | 0.374914 |
| heroin overdoses | 0.361109 |
| opioid overdose | 0.498448 |
| naloxone kit provision | 0.372639 |
| teaching laypersons | 0.384571 |
| community-based organizations | 0.365062 |
| persons | 0.404025 |
| health care facilities | 0.39735 |
| opioid antagonist naloxone | 0.420002 |
| local opioid overdose | 0.436609 |
| survey | 0.365841 |
| Naloxone Network | 0.38375 |
| Naloxone Network members | 0.371071 |
| opioid overdose prevention | 0.489663 |
| overdose prevention services | 0.412514 |
| intranasal naloxone | 0.402471 |
| local sites | 0.40836 |
| overdose reversals | 0.612835 |
| potential overdose bystanders | 0.39278 |
|
| substance use treatment | 0.373813 |
| Veterans Administration health | 0.39316 |
| naloxone distribution programs | 0.372229 |
| international health organizations | 0.366045 |
| naloxone vials | 0.397766 |
| overdose death rates | 0.392554 |
| opioid overdose training | 0.440588 |
| Opioid Safety | 0.399486 |
| Law enforcement organizations | 0.370198 |
| health departments | 0.379993 |
| health care | 0.400092 |
| public health | 0.370784 |
| community-based naloxone program | 0.370983 |
| drug overdose deaths | 0.491517 |
| health care systems | 0.394257 |
| Harm Reduction Coalition | 0.430891 |
| injectable naloxone | 0.366412 |
| statewide naloxone programs | 0.380239 |
| service providers | 0.411355 |
| organizations | 0.58741 |
| Administration health care | 0.393005 |
| naloxone kits | 0.943473 |
| laypersons | 0.602237 |
| opioid overdose mortality | 0.440133 |
|
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For Pregnant Women |
Zika and pregnancy, travel information and how to protect yourself if pregnant… |
| pregnancies | 0.241376 |
| right time | 0.364038 |
| Zika infection | 0.543671 |
| United States | 0.367583 |
| infected mosquitoes | 0.445957 |
| questions | 0.229478 |
| Zika virus infection | 0.73232 |
| contact MotherToBaby | 0.355774 |
| confidential service | 0.372481 |
| Outcomes | 0.235046 |
| possible Zika virus | 0.692115 |
| pregnant woman | 0.419976 |
| birth defect | 0.568313 |
| Monday-Friday | 0.253134 |
| talk | 0.231271 |
| MotherToBaby experts | 0.354584 |
| safe time | 0.374127 |
| local time | 0.359879 |
|
| area | 0.23317 |
| laboratory evidence | 0.366297 |
| pregnancy | 0.42623 |
| sex | 0.234195 |
| diagnosis | 0.229909 |
| families | 0.230087 |
| severe fetal brain | 0.892969 |
| birth defects | 0.398983 |
| symptoms | 0.233965 |
| doctor | 0.231232 |
| vaccine | 0.240028 |
| partner | 0.232077 |
| healthcare provider | 0.372353 |
| person | 0.231941 |
| Men | 0.233515 |
| risk | 0.26437 |
| fetal brain defects | 0.900992 |
| fetus | 0.251084 |
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Vaccine Information Statement | Recent and Upcoming Changes | VIS |
Refreshing browser so latest version appears and not copy saved in cache. |
| VIS | 0.917617 |
| Tdap Vaccine Information | 0.250528 |
| MenB vaccine VIS | 0.450594 |
| United States | 0.214528 |
| Hib Vaccine Information | 0.247861 |
| current VIS | 0.274357 |
| vaccine information statements | 0.590343 |
| Gardasil-9 VIS | 0.383986 |
| polio vaccine VISs | 0.27582 |
| HPV vaccine | 0.361538 |
| stocks | 0.316462 |
|
| vaccine information | 0.786818 |
| previous editions | 0.355253 |
| Pediatric Vaccines VIS | 0.342101 |
| tdap vaccine | 0.273928 |
| rotavirus Vaccine Information | 0.252495 |
| Vaccine Information Statement | 0.762395 |
| quadrivalent HPV vaccine | 0.278332 |
| Polysaccharide VIS vaccine | 0.413417 |
| Gardasil-4 VIS | 0.299522 |
| Td VIS | 0.300224 |
| cholera vaccine | 0.218029 |
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Suicide Rates by Occupational Group - 17 States, 2012 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Violent Death Reporting | 0.657646 |
| national Standard Occupational | 0.482243 |
| data | 0.485631 |
| Suicide prevention activities | 0.665956 |
| Census occupation code | 0.533288 |
| mental health | 0.522145 |
| major occupational groups | 0.489718 |
| library occupational group | 0.49162 |
| highest suicide rates | 0.649563 |
| suicide deaths | 0.551117 |
| SOC codes | 0.548897 |
| highest rate | 0.534167 |
| mental health services | 0.505759 |
| potential suicide prevention | 0.542442 |
| Workplace Suicide Prevention | 0.53717 |
| suicide | 0.899123 |
| usual occupation | 0.491576 |
| suicide prevention strategies | 0.678592 |
| forestry occupational group | 0.507441 |
| SOC major groups | 0.453005 |
| different occupational groups | 0.492878 |
| National Suicide Prevention | 0.549431 |
| persons | 0.52483 |
| protective service occupations | 0.62821 |
| suicides | 0.486777 |
|
| Census occupation codes | 0.485274 |
| NVDRS Occupation Title | 0.511021 |
| suicide prevention | 0.88783 |
| occupation text fields | 0.580934 |
| United States | 0.492932 |
| occupation fields | 0.450024 |
| service occupational group | 0.511697 |
| higher suicide risk | 0.526578 |
| SOC code | 0.483535 |
| Current Population Survey | 0.488344 |
| U.S. Census occupation | 0.587533 |
| suicide prevention training | 0.542317 |
| occupation codes | 0.541997 |
| law enforcement | 0.481319 |
| occupational group | 0.907332 |
| Occupation Computerized Coding | 0.492224 |
| suicide prevention efforts | 0.574121 |
| occupational groups | 0.974797 |
| higher suicide rates | 0.629476 |
| Evidence-based suicide prevention | 0.536638 |
| occupation classification | 0.463896 |
| SOC occupational groups | 0.525829 |
| suicide decedent | 0.526106 |
| National Violent Death | 0.652397 |
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