| 1250 |
Centers for Disease Control and Prevention |
Html |
en |
CDC's Solve the Outbreak App | CDC Features |
xxx |
| Smarty Pants achievements | 0.593388 |
| CDC | 0.2194 |
| Grim Reaper | 0.385197 |
| good work | 0.358467 |
| germ nerd | 0.379448 |
| immensely popular app | 0.892547 |
| Plain Sight | 0.370613 |
| new outbreak | 0.549308 |
| free app | 0.865938 |
| Clever Clogs | 0.390042 |
| exciting app | 0.607192 |
| Underachiever award | 0.353613 |
|
| Epidemic Intelligence Service | 0.638025 |
| wrong answers | 0.351607 |
| Google play | 0.61871 |
| Queens Killer | 0.366683 |
| Android version | 0.665139 |
| real-life Disease Detectives | 0.561882 |
| great new way | 0.541947 |
| Outbreak app | 0.928152 |
| fascinating peek | 0.366988 |
| perfect time | 0.336117 |
| Disease Detective badge | 0.591224 |
| exciting outbreaks | 0.422137 |
|
CLICK HERE |
| 4562 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Topic: Venomous Snakes | CDC NIOSH |
null |
| rattlesnakes | 0.474031 |
| construction workers | 0.60532 |
| United States | 0.812344 |
| snake bites | 0.640716 |
| farmers | 0.4453 |
| pavers | 0.454278 |
| navigation Skip | 0.796687 |
| cottonmouths/water moccasins | 0.652564 |
| gardeners | 0.457873 |
| outdoor workers | 0.607755 |
| copperheads | 0.47394 |
| deaths | 0.44643 |
| groundskeepers | 0.439733 |
| employers | 0.440653 |
| list Skip | 0.795483 |
|
| page options Skip | 0.994985 |
| severe allergy | 0.627553 |
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| mechanics | 0.441643 |
| medical care | 0.600205 |
| people | 0.49219 |
| roofers | 0.477507 |
| venomous bites | 0.69792 |
| laborers | 0.459454 |
| exposure | 0.44216 |
| foresters | 0.455314 |
| painters | 0.447631 |
| risk | 0.475556 |
| coral snakes | 0.682849 |
|
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| 9034 |
Centers for Disease Control and Prevention |
Html |
en |
West Nile Virus and Other Arboviral Diseases - UnitedStates, 2012 |
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. |
| WNV neuroinvasive disease | 0.447595 |
| LACV neuroinvasive disease | 0.262825 |
| equine encephalitis virus | 0.208109 |
| United States | 0.266616 |
| arboviral disease cases | 0.40401 |
| WNV disease incidence | 0.248997 |
| neuroinvasive disease | 0.793678 |
| human disease cases | 0.259756 |
| neuroinvasive disease incidence | 0.251224 |
| public health authorities | 0.233075 |
| Eastern equine encephalitis | 0.263731 |
| EEEV disease cases | 0.24164 |
| notifiable arboviral diseases | 0.229908 |
| LACV disease cases | 0.280921 |
| veterinary disease cases | 0.257741 |
| EEEV neuroinvasive disease | 0.228059 |
| neuroinvasive disease cases | 0.653107 |
| neuroinvasive wnv disease | 0.272859 |
| national incidence | 0.266323 |
| nonneuroinvasive disease cases | 0.325752 |
|
| WNV disease cases | 0.293477 |
| reported case | 0.209139 |
| notifiable arboviral disease | 0.281261 |
| virus disease cases | 0.255079 |
| arboviral disease | 0.414819 |
| median age | 0.382348 |
| California serogroup virus | 0.257127 |
| domestic arboviral disease | 0.247062 |
| WNV disease | 0.409552 |
| neuroinvasive disease patients | 0.243239 |
| SLEV disease cases | 0.243227 |
| severe arboviral disease | 0.241926 |
| endemic arboviral diseases | 0.228745 |
| neuroinvasive cases | 0.200093 |
| acute flaccid paralysis | 0.329858 |
| recent arboviral infection | 0.224891 |
| POWV neuroinvasive disease | 0.224916 |
| disease cases | 0.96915 |
| illness onset | 0.345922 |
| human arboviral infections | 0.230775 |
|
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| 9545 |
Centers for Disease Control and Prevention |
Html |
en |
Infant Mortality - Maternal and Infant Health -Reproductive Health |
Reproductive Health |
| birthday | 0.311974 |
| CDC’s research | 0.363056 |
| key information | 0.369343 |
| ethnicity | 0.31263 |
| United States | 0.533801 |
| south | 0.311193 |
| differences | 0.312461 |
| infant death | 0.504449 |
| State Map | 0.366425 |
| 10-year national objectives | 0.419868 |
| infant mortality | 0.982711 |
| User Guide | 0.361864 |
| number | 0.324913 |
| health risk factors | 0.411977 |
| society | 0.31225 |
| PDF | 0.310954 |
| important marker | 0.36969 |
| Public Use File | 0.359572 |
| causes | 0.326209 |
| birth outcomes | 0.424357 |
| infant mortality rate | 0.831389 |
|
| Healthy People | 0.47745 |
| health care providers | 0.40951 |
| *Source | 0.311027 |
| addition | 0.310976 |
| National Center | 0.364073 |
| infants | 0.31238 |
| Table | 0.311019 |
| infant health | 0.512019 |
| overall health | 0.368144 |
| race | 0.310851 |
| infant deaths | 0.681631 |
| Health Statistics | 0.366724 |
| Period Linked Birth/Infant | 0.411595 |
| population groups | 0.373357 |
| Midwest | 0.311451 |
| live births | 0.594859 |
| infant mortality rates | 0.824197 |
| public health agencies | 0.40768 |
| programs | 0.310903 |
| joint approach | 0.362285 |
|
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| 10300 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Challenges in Meeting Healthy People 2020 Objectives for Cancer-Related Preventive Services, National Health Interview Survey, 2008 and 2010 - CDC |
Healthy People (HP) is the US program that formulates and tracks national health objectives for the nation. The National Health Interview Survey (NHIS) is a designated data source for setting and evaluating several HP targets in cancer. We used data from the 2008 and 2010 NHIS to provide a benchmark for national performance toward meeting HP 2020 cancer-related objectives. |
| non-Hispanic Asians | 0.487025 |
| health insurance | 0.874832 |
| health care provider | 0.582445 |
| HP | 0.559491 |
| overall population | 0.495675 |
| National Health Interview | 0.620282 |
| private health insurance | 0.541061 |
| health insurance status | 0.539457 |
| health care reform | 0.498656 |
| colorectal cancer screening | 0.709654 |
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| health care providers | 0.485156 |
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| ovarian cancer | 0.543561 |
| HP cancer goals | 0.495401 |
| cervical cancer screening | 0.588712 |
| Health Interview Survey | 0.622622 |
| public health insurance | 0.516104 |
| Affordable Care Act | 0.484674 |
| healthy people | 0.526417 |
| cancer genetic counseling | 0.484498 |
| preventive health services | 0.505893 |
| usual source | 0.811946 |
| women | 0.544457 |
|
| NHIS | 0.555291 |
| Prostate cancer screening | 0.505033 |
| clinical health care | 0.501168 |
| cancer screening | 0.997731 |
| proportion | 0.485308 |
| United States | 0.537443 |
| Cancer Epidemiol Biomarkers | 0.555535 |
| provider counseling | 0.580882 |
| percentage points | 0.730041 |
| genetic counseling | 0.57685 |
| cancer screening rates | 0.531932 |
| national health objectives | 0.495303 |
| health services | 0.521002 |
| National Cancer Institute | 0.529519 |
| Epidemiol Biomarkers Prev | 0.540726 |
| health care | 0.70175 |
| public health | 0.608348 |
| breast cancer screening | 0.568043 |
| HP objectives | 0.537624 |
| cancer screening tests | 0.586363 |
| Klabunde CN | 0.490758 |
| primary care | 0.494984 |
| blood stool test | 0.527207 |
| preventive services | 0.525774 |
|
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| 10607 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Foundation's Business Pulse on Global Health Security Now Available Online | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Centers | 0.337769 |
| business leaders | 0.528114 |
| United States | 0.525642 |
| H7N9 avian flu | 0.759222 |
| CDC Foundation | 0.64366 |
| mosquito-borne chikungunya virus | 0.82219 |
| SARs outbreak | 0.624221 |
| workforces | 0.367046 |
| Dr. Jordan Tappero | 0.703607 |
| spike | 0.34721 |
| Prevention | 0.337678 |
| world | 0.42063 |
| Disease Control | 0.536844 |
| health security capacities | 0.749499 |
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| U.S. DEPARTMENT | 0.524808 |
| dangerous microbes | 0.634958 |
| global health threats | 0.735409 |
| businesses | 0.336485 |
| deadly disease | 0.555228 |
| cases | 0.338796 |
|
| globalization | 0.354267 |
| Philippines | 0.336406 |
| infectious disease epidemics | 0.759041 |
| New microbes | 0.609596 |
| dangerous pathogens | 0.619862 |
| countries | 0.337496 |
| concerns | 0.33747 |
| plane ride | 0.573261 |
| visit http://www.cdcfoundation.org/businesspulse | 0.513953 |
| Health Security highlights | 0.724991 |
| global partners | 0.541143 |
| trade | 0.343928 |
| West Africa | 0.544152 |
| laboratories | 0.336741 |
| HUMAN SERVICES | 0.524238 |
| drug resistance | 0.557547 |
| Business Pulse | 0.704805 |
| travel | 0.341125 |
| Dr. Ken Grossman | 0.71552 |
| Ebola | 0.360787 |
| global health security | 0.999102 |
|
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| 11085 |
Centers for Disease Control and Prevention |
Html |
en |
First Chikungunya case acquired in the United States reported in Florida | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| East Coast | 0.369185 |
| Arboviral Diseases Branch | 0.434884 |
| CDC | 0.438898 |
| mosquito-borne virus chikungunya | 0.746703 |
| mosquito bites | 0.449706 |
| limited parts | 0.370544 |
| chikungunya-infected travelers | 0.368506 |
| control programs | 0.370128 |
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| widespread outbreaks | 0.368867 |
| Disease Control | 0.375821 |
| long-term joint pain | 0.415108 |
| possible cases | 0.373377 |
| state health departments | 0.425925 |
| exotic pathogens | 0.368002 |
| Health care providers | 0.419152 |
| diagnostic laboratories | 0.368065 |
| dengue virus | 0.434205 |
| local outbreak | 0.369742 |
| southeastern United States | 0.458128 |
| travel-associated cases | 0.384991 |
| Aedes albopictus | 0.451412 |
| locally acquired chikungunya | 0.648645 |
| Aedes aegypti | 0.389564 |
| chikungunya symptoms | 0.544414 |
|
| CDC officials | 0.391777 |
| Mid-Atlantic States | 0.385869 |
| household protection measures | 0.422677 |
| Puerto Rico | 0.367708 |
| locally acquired case | 0.46101 |
| United States | 0.957537 |
| chikungunya activity | 0.546361 |
| chikungunya virus | 0.830048 |
| continental United States | 0.575378 |
| Roger Nasci | 0.371911 |
| St. Martin | 0.418576 |
| local transmission | 0.493748 |
| health security initiatives | 0.430747 |
| U.S. Virgin Islands | 0.429098 |
| Florida Department | 0.443734 |
| U.S. cases | 0.389918 |
| newly reported case | 0.47242 |
| local chikungunya transmission | 0.613446 |
| lower Midwest | 0.367354 |
| effective surveillance networks | 0.427808 |
| Western Hemisphere | 0.379944 |
| joint pain | 0.472174 |
| locally acquired cases | 0.452025 |
| chikungunya | 0.835293 |
|
CLICK HERE |
| 14040 |
Centers for Disease Control and Prevention |
Html |
en |
Opioid Overdose |
null |
| chronic pain | 0.226852 |
| opioid abuse | 0.592266 |
| United States | 0.345708 |
| overdose reversers | 0.3814 |
| Human Services | 0.215678 |
| recovery services | 0.21193 |
| effective care | 0.22039 |
| better pain treatment | 0.315822 |
| opioid overdose epidemic | 0.844257 |
| CDC Opioid Overdose | 0.76264 |
| primary care providers | 0.323454 |
| HHS | 0.225428 |
| Prescription Drug Monitoring | 0.366818 |
| prescription opioids | 0.423852 |
|
| CDC A-Z index | 0.369642 |
| addiction prevention | 0.218421 |
| opioid overdose | 0.925144 |
| better research | 0.215151 |
| five-point comprehensive strategy | 0.325997 |
| better track trends | 0.32262 |
| promising state-level interventions | 0.352869 |
| data quality | 0.219188 |
| prescription opioid | 0.537785 |
| Nearly half | 0.229443 |
| United States Department | 0.313191 |
| prevention strategies | 0.218231 |
| better data | 0.215822 |
|
CLICK HERE |
| 14140 |
Centers for Disease Control and Prevention |
Html |
en |
Sudden Deaths Among Oil and Gas Extraction Workers Resulting from Oxygen Deficiency and Inhalation of Hydrocarbon Gases and Vapors - United States, January 2010-March 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| HGV exposure | 0.65875 |
| manual tank | 0.490383 |
| fluid sample collection | 0.501755 |
| gas monitor data | 0.52272 |
| additional deaths | 0.450748 |
| exposure assessment data | 0.462792 |
| Recent exposure assessments | 0.449454 |
| high concentrations | 0.938319 |
| gas extraction | 0.793747 |
| traumatic work-related fatalities | 0.449635 |
| occupational medicine physician | 0.639169 |
| gas extraction workers | 0.662448 |
| O2 deficiency | 0.499989 |
| public health practice | 0.448144 |
| Health care professionals | 0.440089 |
| O2-deficient atmospheres | 0.451257 |
| gas extraction worker | 0.658763 |
| sample collection points | 0.505697 |
| respiratory protection meeting | 0.504939 |
| gas worker fatality | 0.480724 |
| Medical examiners | 0.475965 |
| sudden cardiac death | 0.828866 |
| gas workers | 0.58074 |
| low–molecular weight hydrocarbons | 0.510705 |
| liquid oil levels | 0.429622 |
|
| molecular weight hydrocarbons | 0.424146 |
| Occupational Safety | 0.599454 |
| oil | 0.594902 |
| gas monitors | 0.434338 |
| low–molecular weight HGVs | 0.578384 |
| lower-explosive limit | 0.534733 |
| HGV concentrations | 0.462103 |
| continuous multi gas | 0.43308 |
| oil production tanks | 0.45777 |
| tank | 0.530456 |
| extraction worker fatalities | 0.474463 |
| open tank hatch | 0.463792 |
| extraction worker deaths | 0.562692 |
| hydrocarbon storage tanks | 0.426759 |
| possible O2 deficiency | 0.468755 |
| Health Administration | 0.53059 |
| open hatch | 0.47941 |
| sudden cardiac event | 0.431138 |
| alternative fluid sample | 0.503304 |
| occupational fatality rates | 0.430435 |
| San Francisco | 0.478328 |
| worker training | 0.432601 |
| available fatality reports | 0.420301 |
| OSHA | 0.425167 |
|
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| 15583 |
Centers for Disease Control and Prevention |
Html |
en |
HIV PrEP Guidelines: Press Release | Newsroom | NCHHSTP |
null |
| pre-exposure prophylaxis | 0.338612 |
| new HIV infections | 0.79984 |
| sexually transmitted infection | 0.464432 |
| Mortality Weekly Report | 0.400903 |
| CDC’s National | 0.372521 |
| risk-reduction strategies | 0.321362 |
| regular medical visits | 0.393769 |
| at-risk individuals | 0.322308 |
| heterosexual man | 0.321144 |
| HIV infection rates | 0.680326 |
| new clinical guidelines | 0.493103 |
| HIV prevention | 0.462855 |
| Dawn K. Smith | 0.393573 |
| anti-HIV drugs | 0.347384 |
| guidelines | 0.506302 |
| Health care providers | 0.466074 |
| TB Prevention | 0.322304 |
| CDC Director Tom | 0.486714 |
| ongoing sexual relationship | 0.418658 |
| HIV treatment | 0.461844 |
| CDC’s Division | 0.358668 |
| public health experts | 0.430668 |
| U.S. epidemic | 0.356014 |
| CDC’s Morbidity | 0.36409 |
| prevention strategies | 0.328166 |
|
| significant impact | 0.328736 |
| United States | 0.324579 |
| community leaders | 0.322076 |
| safer sex practices | 0.406886 |
| 67-page guidelines | 0.344226 |
| providers specific advice | 0.423104 |
| pilot implementation studies | 0.394598 |
| federal health agencies | 0.430787 |
| bisexual male partners | 0.414292 |
| mutually monogamous relationship | 0.428361 |
| unknown HIV status | 0.579636 |
| illicit drugs | 0.326072 |
| uninfected patients | 0.339625 |
| HIV-uninfected patients | 0.327199 |
| substantial risk | 0.340883 |
| right people | 0.321965 |
| PrEP | 0.960554 |
| U.S. HIV epidemic | 0.596584 |
| Inconsistent use results | 0.327402 |
| HIV testing | 0.464948 |
| 43-page clinical providers | 0.411758 |
| HIV-infected partner | 0.32537 |
| high adherence | 0.322279 |
| HIV infection | 0.948488 |
|
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