| 1317 |
Centers for Disease Control and Prevention |
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NCIRD | DBD Bulletin Fall 2011 | Preventable Diseases Network | CDC |
Division of Bacterial Diseases Bulletin Fall |
| training course | 0.722529 |
| ongoing support | 0.713911 |
| Haemophilus influenzae type | 0.828738 |
| new vaccines | 0.758629 |
| sentinel site visits | 0.796395 |
| RDB’s Streptococcus | 0.739895 |
| Western Pacific Region | 0.800279 |
| pneumococcal vaccines | 0.759373 |
| Vaccine Preventable Diseases | 0.837755 |
| rotavirus vaccines | 0.844508 |
| S. pneumoniae | 0.72052 |
| Mongolia national laboratory | 0.803416 |
| Global Meningitis Laboratory | 0.87971 |
| Bacterial Vaccine-Preventable Diseases | 0.844859 |
| Kenya RRL | 0.716877 |
| Global Reference Laboratory | 0.83957 |
| vaccine introduction | 0.729391 |
| surveillance data | 0.722367 |
| DBD laboratories | 0.77801 |
| Neisseria meningitidis | 0.732511 |
| laboratory IB-VPD posters | 0.80434 |
| countries | 0.715248 |
| vaccine impact post | 0.805854 |
| Streptococcus pneumoniae | 0.763305 |
| regional reference labs | 0.795708 |
|
| continuous power supply | 0.781024 |
| GRL works | 0.762149 |
| inadequate specimen handling | 0.785533 |
| high quality data | 0.792565 |
| quality control/quality assurance | 0.775079 |
| GRL activities | 0.769821 |
| DBD staff members | 0.867764 |
| Respiratory Diseases Branch | 0.802813 |
| surveillance capacity | 0.717328 |
| Bacterial Diseases | 0.732497 |
| IB-VPD network activities | 0.80492 |
| technical support | 0.726601 |
| site visits | 0.900471 |
| various training workshops | 0.808846 |
| GAVI CEO Seth | 0.819305 |
| GAVI Alliance | 0.83269 |
| global standard operating | 0.783733 |
| pentavalent vaccine | 0.71434 |
| Streptococcus Laboratory | 0.81947 |
| laboratory-based surveillance network | 0.854484 |
| regional offices | 0.801251 |
| bacterial disease surveillance | 0.819614 |
| new conjugate vaccines | 0.892495 |
| limited supply chains | 0.782386 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, April 04, 2011 |
null |
| mental health | 0.767584 |
| Control Hosp Epidemiol. | 0.827953 |
| food service practices | 0.770904 |
| 50-year Medalist study | 0.763776 |
| female sex workers | 0.765178 |
| CDC Science Clips | 0.862579 |
| participatory colorectal cancer | 0.801911 |
| Med Int Health. | 0.770175 |
| colorectal cancer screening | 0.820827 |
| tribal health providers | 0.781501 |
| perchlorate exposure biomarkers | 0.773082 |
| Oncol Pharm Pract. | 0.764643 |
| Pap test | 0.762127 |
| risk factors | 0.768938 |
| colorectal cancer | 0.942272 |
| human leukocyte antigen | 0.766003 |
| Chief Science Officer | 0.773469 |
| rural western Kenya | 0.766494 |
| van Duijn CM | 0.767659 |
| World Health Organ. | 0.790921 |
| Colorectal cancer mortality | 0.809067 |
| public health practice | 0.790867 |
| Bernert JT | 0.768405 |
| Stephen B. Thacker | 0.827731 |
| Environ Sci Technol. | 0.769789 |
|
| 50-year mortality trends | 0.776451 |
| influenza vaccine coverage | 0.762621 |
| Mar | 0.973586 |
| United States | 0.889788 |
| cancer screening practices | 0.795192 |
| health facility attendance | 0.798972 |
| Pregnancy Risk Assessment | 0.770838 |
| Occup Environ Med. | 0.765866 |
| high-quality health care | 0.800681 |
| human adenovirus designation | 0.762461 |
| public health | 0.819248 |
| Public Health Prep. | 0.802313 |
| CDC Grand Rounds | 0.781886 |
| Geriatr Soc. | 0.7658 |
| practice-level colorectal cancer | 0.805787 |
| wild poliovirus importations | 0.77001 |
| public health literature | 0.788528 |
| B. Thacker CDC | 0.852395 |
| Indian Health Service | 0.784507 |
| Infect Control Hosp | 0.826771 |
| Womens Health | 0.817183 |
| Clin Microbiol. | 0.770963 |
| et al | 0.779458 |
| Health Serv Res. | 0.782804 |
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| 7088 |
Centers for Disease Control and Prevention |
Html |
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Global Health - Chad |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
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| 7849 |
Centers for Disease Control and Prevention |
Html |
en |
Health Communication - Risk Communication |
Gateway to Health Communication - Risk Communication |
| Microsoft PowerPoint file | 0.637129 |
| Tip Sheets A-C | 0.669789 |
| Carbon Monoxide Poisoning | 0.627215 |
| Microsoft Word file | 0.640565 |
| emergency risk communication | 0.93456 |
| Child Passenger Safety | 0.614484 |
| Cardiovascular Health | 0.627312 |
| Risk Communicator Issue | 0.787145 |
| Mexico Cross-Border Health | 0.678448 |
| Microsoft Excel file | 0.636082 |
| Health Communication | 0.776399 |
| Tweet Share Compartir | 0.616057 |
| Preventive Health Care | 0.674172 |
| health risk information | 0.724815 |
| CDCynergy Emergency Risk | 0.681158 |
| emergency risk communicators | 0.798193 |
| Global Health | 0.625454 |
| risk communication | 0.93619 |
| page options Skip | 0.670814 |
| Antibiotic Resistance | 0.614024 |
| different file formats | 0.638564 |
| Address Enter Email | 0.745468 |
| Health Care Fraud | 0.678319 |
| Tip Sheets V-Z | 0.653324 |
| Apple Quicktime file | 0.632505 |
|
| Harmful Algal Blooms | 0.619523 |
| Risk Communicator Newsletter | 0.665295 |
| Email Address Enter | 0.745496 |
| CDC Emergency Preparedness | 0.671773 |
| African American Women | 0.620655 |
| CDC A-Z | 0.618779 |
| Adobe PDF file | 0.633857 |
| Clear Communication Index | 0.647289 |
| email address | 0.765884 |
| Search Form Controls | 0.643038 |
| Social Marketing Practice | 0.624953 |
| Migrant Health | 0.620502 |
| Health Communications | 0.617282 |
| Enter Email Address | 0.745441 |
| Health Marketing Basics | 0.664516 |
| Sickle Cell Disease | 0.623767 |
| Tip Sheets | 0.958484 |
| public health | 0.642605 |
| Health Risk Communication | 0.747061 |
| Entertainment Education Research | 0.6246 |
| Fetal Alcohol Syndrome | 0.613081 |
| Tip Sheets S-U | 0.655552 |
| Climate Change | 0.718812 |
| Health Communicators | 0.630282 |
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| 11140 |
Centers for Disease Control and Prevention |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 5.5 |
null |
| Urinary enterodiol | 0.91858 |
| LOD | 0.349287 |
| µg/g creatinine | 0.214154 |
| greater uncertainty | 0.32212 |
| percentiles | 0.302077 |
| Mexican Americans | 0.289441 |
| Table | 0.326695 |
| non-hispanic whites | 0.279087 |
| Sample | 0.200077 |
| non-hispanic blacks | 0.284005 |
| urine concentrations | 0.430085 |
| Males | 0.312275 |
|
| Search Form Controls | 0.205308 |
| National Health | 0.427763 |
| conf. interval | 0.73633 |
| creatinine | 0.24 |
| Geometric mean | 0.730204 |
| small cell size | 0.464555 |
| uncorrected urine value | 0.315876 |
| Serum | 0.200904 |
| u.s. population | 0.461205 |
| page | 0.256321 |
| Nutrition Examination Survey | 0.670014 |
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| 11859 |
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Pertussis | Whooping Cough | Diagnosis Confirmation | CDC |
Diagnosis Confirmation - Several tests are available to test for B. pertussis. Learn which to use, when to use them, and how to interpret them. |
| pertussis diagnosis | 0.761606 |
| bacterial DNA | 0.466117 |
| rapid test | 0.473521 |
| strain identification | 0.484842 |
| B. pertussis | 0.753547 |
| pertussis | 0.962632 |
| serologic assay | 0.499272 |
| unknown clinical accuracy | 0.59926 |
| PCR assay protocols | 0.746194 |
| viable bacteria | 0.490861 |
| falsely-negative results | 0.476176 |
| similar clinical symptoms | 0.642092 |
| epidemiological information | 0.481908 |
| Bordetella pertussis | 0.829314 |
| laboratory tests | 0.511501 |
| accurate results | 0.478695 |
| multiple target sequences | 0.607818 |
| cough onset | 0.865975 |
| high sensitivity | 0.497634 |
| PCR tests | 0.599257 |
| culture confirmation | 0.486996 |
| suspicious case | 0.486059 |
| United States | 0.466626 |
| gold standard | 0.502723 |
|
| simple best practices | 0.610553 |
| specific method | 0.502344 |
| respiratory pathogens | 0.489358 |
| pertussis outbreak | 0.748983 |
| clinical symptoms | 0.648946 |
| serology test | 0.51341 |
| public health labs | 0.597626 |
| Vaccine-Preventable Diseases | 0.479294 |
| excellent sensitivity | 0.506878 |
| inaccurate results | 0.479561 |
| commercial assays | 0.478458 |
| polymerase chain reaction | 0.675285 |
| public health | 0.645934 |
| testing regimen | 0.477206 |
| commercially available assays | 0.625364 |
| excellent specificity | 0.522395 |
| Pertussis Laboratory Testing | 0.843478 |
| sensitivity decreases | 0.520072 |
| Pertussis Laboratory Information | 0.844227 |
| public health importance | 0.628556 |
| false-negatives increases | 0.510686 |
| Bordetella species | 0.49974 |
| antimicrobial resistance testing | 0.642644 |
| CDC single point | 0.633889 |
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Interim Guidelines for the Evaluation and Testing of Infants with Possible Congenital Zika Virus Infection - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.335464 |
| infant | 0.377564 |
| clinical evaluation | 0.335298 |
| evaluation | 0.337285 |
| occipitofrontal circumference | 0.372304 |
| gestational age | 0.341655 |
| health care providers | 0.418374 |
| Zika virus RNA | 0.468996 |
| infants | 0.344163 |
| prenatal ultrasound results | 0.33737 |
| laboratory evidence | 0.331154 |
| dengue virus | 0.452264 |
| ongoing Zika virus | 0.414731 |
| Zika virus disease | 0.460598 |
| detectable Zika virus | 0.412173 |
| Test infant serum | 0.33979 |
| possible congenital Zika | 0.394336 |
| possible long-term sequelae | 0.340417 |
| virus infection transmission | 0.396286 |
| Zika virus transmission | 0.560187 |
| dengue virus IgM | 0.445451 |
| cerebrospinal fluid | 0.331026 |
| infant serum | 0.345481 |
| maternal Zika virus | 0.401028 |
| simplex virus infections | 0.37537 |
|
| intracranial calcifications | 0.379854 |
| inconclusive test results | 0.333879 |
| Zika virus infection | 0.845726 |
| Zika virus antigen | 0.43787 |
| virus-specific neutralizing antibodies | 0.345556 |
| repeat hearing screen | 0.339796 |
| local health department | 0.360563 |
| additional clinical evaluation | 0.329992 |
| zika virus | 0.950191 |
| territorial health department | 0.345879 |
| umbilical cord | 0.353595 |
| Zika virus antibodies | 0.410178 |
| congenital Zika virus | 0.573627 |
| choriomeningitis virus infection | 0.389895 |
| Zika virus infections | 0.422722 |
| congenital infection | 0.342622 |
| zika virus immunoglobulin | 0.434595 |
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| transcription-polymerase chain reaction | 0.340249 |
| antibody titers | 0.380858 |
| Zika virus IgM | 0.420504 |
| Zika virus RT-PCR | 0.406047 |
| confirmatory neutralizing antibody | 0.380853 |
| Zika virus testing | 0.460129 |
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Assessment of Factors Contributing to Health Outcomes in theEight States of the Mississippi Delta Region |
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. |
| data | 0.233467 |
| United States | 0.388248 |
| various health factors | 0.221918 |
| similar health outcomes | 0.230953 |
| health outcomes | 0.752157 |
| County Health Rankings | 0.84089 |
| Health Rankings model | 0.36896 |
| Delta Regional Authority | 0.332988 |
| measures | 0.25168 |
| Delta counties | 0.958925 |
| health disparities | 0.319871 |
| Wisconsin Population Health | 0.264739 |
| poor health status | 0.204381 |
| demographic variables | 0.238936 |
| Mississippi River Delta | 0.636894 |
| River Delta Region | 0.555255 |
| self-rated health | 0.413246 |
| poorer health outcomes | 0.248534 |
| county-level health data | 0.218417 |
|
| current health factors | 0.204899 |
| non-Delta counties variance | 0.203827 |
| health behaviors | 0.226594 |
| non-delta counties | 0.930569 |
| national average | 0.267999 |
| health predictors | 0.231697 |
| population health | 0.274942 |
| River Delta counties | 0.224675 |
| health | 0.896465 |
| public health officials | 0.202519 |
| self-rated health status | 0.236272 |
| health status | 0.268153 |
| population health measures | 0.213174 |
| significant predictors | 0.300498 |
| mortality | 0.208346 |
| health factors | 0.623359 |
| low birth weight | 0.578998 |
| community safety | 0.208572 |
|
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Gastrointestinal Illness Associated with Rancid TortillaChips at a Correctional Facility - Wyoming, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| lunch | 0.423987 |
| stool specimens | 0.417606 |
| private food testing | 0.450849 |
| odds ratio | 0.414456 |
| specific food testing | 0.413556 |
| unknown gastrointestinal illness | 0.435421 |
| case-control study | 0.457563 |
| food samples | 0.412339 |
| tortilla chips | 0.963711 |
| food testing methods | 0.465996 |
| outbreak | 0.440181 |
| initial case-control study | 0.440213 |
| multivariate logistic regression | 0.439182 |
| nested case-control study | 0.439768 |
| food testing | 0.607521 |
| rancid tortilla chips | 0.497041 |
| residents | 0.420709 |
| public health laboratories | 0.435263 |
| nacho cheese sauce | 0.618009 |
| county health department | 0.508664 |
| illness onset times | 0.415367 |
| Spanish rice | 0.411049 |
| composite food samples | 0.405623 |
| Public Health Laboratory | 0.490095 |
| food item | 0.497122 |
|
| Civil Support Team | 0.499961 |
| food testing laboratory | 0.448702 |
| gastrointestinal illness | 0.645144 |
| Wyoming correctional facility | 0.442368 |
| Wyoming National Guard | 0.494105 |
| alternative food testing | 0.459865 |
| food testing results | 0.405935 |
| Wyoming Public Health | 0.490332 |
| chemical contamination | 0.448856 |
| facility cafeteria | 0.410465 |
| public health | 0.514947 |
| illness | 0.674078 |
| peroxide value | 0.43227 |
| possible chemical contamination | 0.428448 |
| staff members | 0.737974 |
| food items | 0.485935 |
| median illness duration | 0.416436 |
| tortilla chip sample | 0.419668 |
| Wyoming Department | 0.450411 |
| food | 0.634771 |
| 84th Civil Support | 0.502783 |
| correctional facility | 0.573456 |
| facility residents | 0.407774 |
| composite food sample | 0.478479 |
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Fire Fighter Fatality Investigation Report F2007-02 |
Career Fire Fighter Injured during Rapid Fire Progression in an Abandoned Structure Dies Six Days Later ? Georgia |
| experienced fire fighters | 0.615136 |
| self-contained breathing apparatus | 0.683915 |
| officer | 0.743441 |
| service time test | 0.61813 |
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| Engine 16Â’s crew | 0.596479 |
| battalion | 0.600228 |
| fighters | 0.932537 |
| flow performance test | 0.609855 |
| single story duplex | 0.622712 |
| personal alert safety | 0.676034 |
| chief training officer | 0.602163 |
| dark black smoke | 0.661696 |
| initial size-up | 0.625659 |
| NIOSH Task Number | 0.597363 |
| SCBA | 0.694193 |
| 33-year old victim | 0.610845 |
| E16 acting officer | 0.61521 |
| gas flow test | 0.642548 |
| team members | 0.646782 |
| incident commander | 0.655831 |
| SCBA post-incident test | 0.622309 |
| SCBA status investigation | 0.602266 |
| heavy black smoke | 0.612405 |
|
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| occupational health specialists | 0.59865 |
| NIOSH SCBA | 0.629516 |
| NIOSH SCBA Certification | 0.621162 |
| crew | 0.644382 |
| engine | 0.705507 |
| Incident Safety Officer | 0.680801 |
| victim | 0.790895 |
| Fighter Fatality Investigation | 0.651322 |
| rapid intervention team | 0.637803 |
| interior conditions | 0.613569 |
| engine company officer | 0.601775 |
| incident command | 0.635298 |
| black smoke | 0.701686 |
| structure | 0.754992 |
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| command post | 0.670344 |
| incident structure | 0.605476 |
| NIOSH investigators | 0.624055 |
| company officer | 0.632625 |
| disoriented fire fighters | 0.627025 |
| positive pressure test | 0.610186 |
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