| 5955 |
Centers for Disease Control and Prevention |
Html |
en |
Pindone - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6283 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Summary: September 22, 2011 |
MMWR News Summary: September 22, 2011 |
| pertussis transmission | 0.606964 |
| rural Alaska Native | 0.991864 |
| National Institute | 0.549985 |
| times more cavities | 0.591477 |
| acute illness | 0.542163 |
| Td booster. Persons | 0.641636 |
| box springs | 0.54142 |
| fluoride varnishes | 0.546098 |
| one-time dose | 0.539846 |
| nonchemical methods | 0.552841 |
| U.S. children | 0.547132 |
| bacterial vaccine-preventable disease | 0.648452 |
| Alaska Native children | 0.6682 |
| effective insecticides | 0.575351 |
| bed bugs | 0.832447 |
| Tdap vaccine. BOOSTRIX | 0.637362 |
| Fred Blosser | 0.573187 |
| ineffective notification | 0.555838 |
| bed bug–related issues | 0.671709 |
| CDC Division | 0.84869 |
| water fluoridation | 0.630308 |
| health effects | 0.554635 |
| certified applicators | 0.549608 |
| United States. Pertussis | 0.724479 |
|
| federally funded pesticide | 0.67714 |
| gastrointestinal effects. | 0.545627 |
| additional preventive services | 0.648953 |
| change pesticide-treated bedding | 0.661585 |
| dental cavities | 0.760232 |
| illness surveillance program | 0.662491 |
| relatively inexpensive method | 0.649133 |
| excessive insecticide application | 0.675004 |
| bed bug infestation | 0.669305 |
| Electronic Media | 0.823339 |
| Occupational Safety | 0.543269 |
| fluoridated water | 0.54191 |
| public health burden | 0.679677 |
| frequent soda-pop consumption | 0.660022 |
| pesticide application. | 0.552889 |
| Alaska Native villages | 0.685274 |
| private residences | 0.545308 |
| preventive measures | 0.541606 |
| media campaigns | 0.541534 |
| in-home water | 0.539435 |
| dental cavities severity | 0.716888 |
| Native villages. Children | 0.663735 |
| dental health | 0.549271 |
| pertussis exposure | 0.612933 |
|
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| 6881 |
Centers for Disease Control and Prevention |
Html |
en |
Highly Pathogenic Avian Influenza A (H5N1) Viruses in Asia |
Highly Pathogenic Avian Influenza A (H5N1) Viruses in Asia - CDC |
| avian influenza | 0.485574 |
| vaccine virus candidate | 0.420814 |
| CDC | 0.274636 |
| pandemic preparedness activities | 0.304128 |
| United Nations | 0.261919 |
| avian influenza viruses | 0.429945 |
| vaccine production | 0.260714 |
| greater threat | 0.256414 |
| U.S. government | 0.257391 |
| infected birds | 0.256283 |
| human health | 0.416089 |
| wild birds | 0.367221 |
| Middle East | 0.267378 |
| human exposures | 0.258019 |
| Disease Control | 0.262207 |
| H5N1 influenza viruses | 0.577473 |
| World Organization | 0.258221 |
| pathogenic avian influenza | 0.36843 |
| additional risk | 0.254383 |
| media coverage | 0.319347 |
| infected poultry | 0.304609 |
| subsequent media stories | 0.307191 |
| Sporadic human cases | 0.316365 |
| public health | 0.262631 |
|
| virus infections | 0.293813 |
| infect humans | 0.284018 |
| Recent media coverage | 0.319012 |
| press release | 0.269017 |
| exact match | 0.255958 |
| H5N1 viruses | 0.906266 |
| World Health Organization | 0.310161 |
| routine surveillance | 0.257422 |
| influenza vaccines | 0.280883 |
| FAO report | 0.320809 |
| H5N1 virus | 0.604314 |
| high mortality | 0.26715 |
| H5N1 poultry vaccines | 0.477504 |
| Agriculture Organization | 0.320184 |
| Human-Animal Interface | 0.257253 |
| different groups | 0.258849 |
| H5N1 poultry vaccine | 0.479603 |
| Animal Health | 0.261008 |
| different clades | 0.265866 |
| H5N1 virus infection | 0.500501 |
| severe illness | 0.260034 |
| humans | 0.310552 |
| poultry industry | 0.294264 |
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| 7998 |
Centers for Disease Control and Prevention |
Html |
en |
South Africa - Partners - Winnie Mandela Male Sexual Health Clinic |
null |
| young boys | 0.270456 |
| systematic process | 0.268917 |
| Mandela Male Sexual | 0.862083 |
| gender-based counseling | 0.292765 |
| site systems manager | 0.395381 |
| interactive educational video | 0.399306 |
| voluntary testing | 0.281452 |
| early stages | 0.253853 |
| clinic manager | 0.301815 |
| high quality | 0.258521 |
| community recruiters | 0.251492 |
| Ekurhuleni district | 0.286989 |
| educational preparation | 0.268989 |
| general assistants | 0.252433 |
| Health HIV/AIDS Strategic | 0.453395 |
| significant headway | 0.268059 |
| Winnie Mandela Clinic | 0.581024 |
| group information | 0.26269 |
| incorporation HIV | 0.283453 |
| Winnie Mandela Male | 0.929836 |
| clinic’s facilities | 0.304629 |
| Success Story | 0.257624 |
|
| Celebrates 10,000th Circumcision | 0.441528 |
| pilot phase | 0.271045 |
| previous Aurum projects | 0.43138 |
| data capturers | 0.254884 |
| data capturing systems | 0.407817 |
| easy tracking | 0.264933 |
| centralized records | 0.264272 |
| peer support | 0.263458 |
| Sexual Health Clinic | 0.778561 |
| community awareness | 0.252761 |
| non-federal site | 0.286193 |
| recovery rooms | 0.257073 |
| TB counseling | 0.296597 |
| fingerprint-based patient tracking | 0.422713 |
| Arum Institute | 0.289474 |
| South Africa province | 0.446087 |
| Male Sexual Health | 0.758312 |
| South Africa | 0.462775 |
| pre-operative medical assessments | 0.433822 |
| millennium development goals | 0.442809 |
| medical male circumcision | 0.757615 |
| efficient services | 0.254877 |
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| 8740 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Feasibility and Acceptabilityof Internet Grocery Service in an Urban Food Desert, Chicago,2011-2012 - CDC |
We explored the feasibility and acceptability of an Internet grocery service (IGS) as an approach to improving food access in urban neighborhoods. |
| IGS expenditures | 0.757113 |
| home Internet | 0.675256 |
| caloric beverages | 0.807937 |
| total pre-tax food | 0.677674 |
| IGS food purchases | 0.868207 |
| new supermarket development | 0.623563 |
| caloric nondairy beverages | 0.652476 |
| commercial IGS | 0.782683 |
| food desert households | 0.663717 |
| Rush University Medical | 0.702397 |
| IGS food | 0.887232 |
| IGS voucher | 0.753587 |
| field test | 0.620605 |
| competitive prices | 0.621199 |
| supplemental food sources | 0.686583 |
| delivery time window | 0.619206 |
| Internet grocery service | 0.63337 |
| IGS feasibility | 0.742881 |
| urban food desert | 0.704047 |
| well-implemented IGS | 0.743028 |
| University Medical Center | 0.79105 |
| urban food access | 0.953454 |
| urban food deserts | 0.671335 |
| food prices | 0.618011 |
| food stamps | 0.618321 |
|
| discretionary caloric beverages | 0.671752 |
| Gittelsohn J. Access | 0.616583 |
| local food environment | 0.651797 |
| Public Health | 0.649129 |
| feasibility pilot study | 0.652316 |
| new food source | 0.662498 |
| potential transportation barriers | 0.619841 |
| new supermarket construction | 0.620308 |
| Food Assistance Program | 0.673545 |
| IGS acceptability | 0.794682 |
| marital status | 0.617096 |
| Chicago food desert | 0.790313 |
| participants | 0.662264 |
| food purchasing patterns | 0.79354 |
| future IGS | 0.898052 |
| delivery fees | 0.627509 |
| home Internet service | 0.620725 |
| pre-tax food expenditures | 0.778209 |
| home Internet access | 0.650866 |
| delivers healthful foods | 0.619897 |
| household income | 0.612022 |
| Public Health Service | 0.613259 |
| IGS programs | 0.82602 |
| household food purchases | 0.682576 |
|
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| 8919 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccine Information Statement: Hepatitis A - Vaccines - CDC |
Hepatitis A Vaccine Information Statement |
| Compensation Program | 0.362554 |
| routine soreness | 0.371449 |
| hands properly. | 0.375042 |
| health care provider | 0.424876 |
| vision changes | 0.364842 |
| Page | 0.399876 |
| National Vaccine Injury | 0.549707 |
| liver failure | 0.373422 |
| nearest hospital | 0.362285 |
| severe allergic reaction | 0.770029 |
| hepatitis A research | 0.509861 |
| chronic liver disease | 0.426845 |
| dark urine | 0.377272 |
| known risks | 0.366425 |
| fast heartbeat | 0.363389 |
| liver disease | 0.446655 |
| severe allergy | 0.394166 |
| Vaccine Adverse Event | 0.540036 |
| hepatitis A-infected animals | 0.567545 |
| long-lasting protection | 0.374727 |
| VAERS website | 0.378576 |
| life-threatening allergic reaction | 0.45766 |
| low-grade fever | 0.374262 |
| hepatitis A. Hepatitis | 0.722429 |
|
| vaccine components | 0.508054 |
| vaccines | 0.38792 |
| United States | 0.37169 |
| severe stomach pains | 0.474611 |
| medical advice | 0.362232 |
| life-threatening allergies | 0.370653 |
| remote chance | 0.361213 |
| illegal drugs | 0.369197 |
| mild illness | 0.365643 |
| liver diseases | 0.3759 |
| vaccine package insert | 0.546411 |
| Current Edition Date | 0.443803 |
| Minor problems | 0.363681 |
| vaccine safety site | 0.545926 |
| joint pain | 0.371991 |
| people | 0.385286 |
| certain vaccines | 0.374939 |
| medical procedure | 0.362148 |
| hepatitis A virus | 0.533513 |
| hepatitis a vaccine | 0.980438 |
| federal program | 0.363709 |
| healthcare provider | 0.429395 |
| clay-colored bowel movements | 0.441191 |
| HAV). | 0.404565 |
|
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| 10730 |
Centers for Disease Control and Prevention |
Html |
en |
EMF (Electric and Magnetic Fields) - NIOSH Workplace Safety and Health Topic |
NIOSH research on protecting workers from proven and possible EMF health risks |
| Federal Communications Commission | 0.428298 |
| EMF RAPID program | 0.418095 |
| elf electromagnetic fields | 0.558721 |
| Radiation Protection Board | 0.449448 |
| Mobile Phones | 0.509656 |
| NIOSH studies | 0.433343 |
| Magnetic Field Exposures | 0.517545 |
| health standards | 0.399536 |
| NRPB Documents Volume | 0.411585 |
| EMF health risks | 0.570771 |
| National Radiation Protection | 0.452668 |
| ELF-EMF health risks | 0.415899 |
| ELF radiation | 0.403116 |
| EMF | 0.578521 |
| NIOSH research | 0.411303 |
| NIOSH Fact Sheet | 0.406914 |
| magnetic fields | 0.616847 |
| World Health Organization | 0.463961 |
| Measuring Occupational Electric | 0.448659 |
| potential health risks | 0.500608 |
| highly-respected international program | 0.443974 |
| electromagnetic fields | 0.559363 |
| possible health effects | 0.473351 |
| health effects | 0.6674 |
|
| EMF Measurement Database | 0.407871 |
| Health Protection Agency | 0.468929 |
| cell phones health | 0.450963 |
| National Toxicology Program | 0.433942 |
| EMF exposure limits | 0.422197 |
| California EMF Program | 0.536383 |
| Environmental Health Sciences | 0.46116 |
| EMF emissions | 0.432788 |
| NIOSH Publication No. | 0.820616 |
| Radiofrequency Electromagnetic Fields | 0.467073 |
| International EMF Project | 0.412328 |
| ELF magnetic fields | 0.413021 |
| possible health risks | 0.563263 |
| ELF EMF | 0.546097 |
| potential harmful effects | 0.428366 |
| video display terminals | 0.963572 |
| cell phones | 0.734048 |
| Radio Frequency Safety | 0.429503 |
| occupational exposures | 0.403068 |
| occupational ELF-EMF exposures | 0.408959 |
| EMF exposures | 0.444587 |
| health risks | 0.69677 |
| extremely low frequency | 0.667527 |
| animal cancer assay | 0.432295 |
|
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| 11115 |
Centers for Disease Control and Prevention |
Html |
en |
B Virus | Signs and Symptoms | Herpes B | CDC |
Monkeys infected with B virus usually have no or only mild symptoms. In humans, however, B virus infection can result in acute ascending encephalomyelitis, resulting in death or severe neurologic impairment. |
| neurologic signs | 0.661765 |
| vesicular lesions | 0.648863 |
| symptom onset | 0.623507 |
| voluntary control | 0.576676 |
| latent infection | 0.683629 |
| number | 0.460041 |
| Respiratory failure | 0.579399 |
| extreme weakness | 0.583387 |
| antibodies | 0.465933 |
| asymptomatic B virus | 0.772473 |
| exposure site | 0.649305 |
| long-term neurologic problems | 0.798377 |
| flaccid paralysis | 0.619483 |
| diagnostic testing | 0.575469 |
| Respiratory involvement | 0.60497 |
| severe neurologic impairment | 0.891834 |
| actual incubation period | 0.769746 |
| lymph nodes | 0.622307 |
| supportive care | 0.572951 |
| reduced muscle tone | 0.75488 |
| human herpesviruses HSV-1 | 0.743717 |
| CNS involvement | 0.628453 |
| false-negative results | 0.574316 |
| muscle ache | 0.623177 |
|
| potential exposures | 0.576011 |
| high level | 0.575068 |
| death | 0.498873 |
| CNS complications | 0.622896 |
| fever | 0.472325 |
| mild symptoms | 0.651605 |
| muscle movements | 0.600472 |
| Neurologic symptoms | 0.707461 |
| infectious virus particles | 0.922455 |
| abdominal pain | 0.582017 |
| spinal cord | 0.606595 |
| antiviral therapy | 0.587201 |
| lymph vessels | 0.609312 |
| flu-like symptoms | 0.623262 |
| common cause | 0.567913 |
| Disease progression | 0.594445 |
| Disease onset | 0.626585 |
| virus infection | 0.836066 |
| acute ascending encephalomyelitis | 0.868686 |
| Initial symptoms | 0.609486 |
| headache | 0.481771 |
| vesicular skin lesions | 0.822705 |
| animal care workers | 0.714207 |
| humans | 0.519651 |
|
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| 12108 |
Centers for Disease Control and Prevention |
Html |
en |
Lung Cancer Rates by State |
Lung cancer statistics from CDC: incidence and mortality by state in the United States. |
| U.S. standard population | 0.640663 |
| Mortality Web-based Report | 0.658933 |
| United States | 0.743681 |
| USCS publication criteria | 0.414738 |
| Human Services | 0.403489 |
| States Cancer Statistics | 0.563005 |
| Statistics Working Group | 0.627154 |
| incidence data | 0.341954 |
| Incidence Rates* | 0.323692 |
|
| Cancer Statistics Working | 0.590522 |
| lung cancer | 0.930019 |
| United States Cancer | 0.563214 |
| lung cancer rates | 0.551538 |
| Disease Control | 0.402798 |
| National Cancer Institute | 0.608327 |
| lung cancer incidence | 0.590302 |
| U.S. Cancer Statistics | 0.571619 |
| Bronchus Cancer | 0.378345 |
|
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| 15418 |
Centers for Disease Control and Prevention |
Html |
en |
Leveling of Tuberculosis Incidence - United States,2013-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| annual TB surveillance | 0.430014 |
| latent TB infection | 0.586186 |
| foreign-born persons | 0.53682 |
| additional TB cases | 0.440814 |
| overall national tb | 0.495248 |
| tb prevention | 0.434561 |
| unrounded incidence | 0.267233 |
| annual TB incidence | 0.509427 |
| TB surveillance report | 0.429863 |
| active TB disease | 0.418088 |
| lowest incidence | 0.275709 |
| Native Hawaiians/other Pacific | 0.328812 |
| provisional national tuberculosis | 0.281013 |
| non-Hispanic persons | 0.270083 |
| untreated latent TB | 0.417031 |
| foreign-born population | 0.274053 |
| TB patients | 0.40787 |
| final TB case | 0.411208 |
| West South Central | 0.279881 |
| TB incidence | 0.92999 |
| Hawaiians/other Pacific Islanders | 0.32876 |
| U.S. foreign-born persons | 0.295381 |
| infectious TB | 0.398621 |
| TB case | 0.521886 |
|
| National Tuberculosis Surveillance | 0.3976 |
| U.S.-born persons | 0.362383 |
| total U.S. cases | 0.273507 |
| United States | 0.680295 |
| higher TB incidence | 0.470731 |
| incident TB | 0.442944 |
| 100,000 | 0.31768 |
| TB elimination | 0.485206 |
| TB disease | 0.440435 |
| TB transmission | 0.523338 |
| highest case count | 0.282461 |
| State-specific incidence | 0.278405 |
| TB resurgence | 0.403718 |
| verified TB cases | 0.487286 |
| American Indians/Alaska Natives | 0.328916 |
| median state incidence | 0.29886 |
| national TB incidence | 0.548965 |
| TB cases | 0.745286 |
| ongoing TB transmission | 0.408057 |
| Year-to-year TB incidence | 0.463112 |
| U.S. TB cases | 0.441774 |
| highest TB incidence | 0.492277 |
| TB outbreaks | 0.400288 |
| highest incidence | 0.295788 |
|
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