| 1062 |
Centers for Disease Control and Prevention |
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Assessment of Blood Lead Levels Among Children Aged ?5 Years— Zamfara State, Nigeria, June–July 2012 |
Muhammed Bashir, MD1, Nasir Umar-Tsafe, MSc1, Kabiru Getso, MBBS1, Ibrahim M. Kaita, MSc1, Abdulsalami Nasidi, PhD2; Nasir Sani-Gwarzo MD2; Patrick Nguku, MD3, Lora Davis, DVM3, Mary Jean Brown ScD4 (Author affiliations at end of text). |
| lead-containing gold ore | 0.679606 |
| family compound | 0.615677 |
| Public health strategies | 0.474305 |
| environmental lead | 0.502216 |
| chelation therapy | 0.541079 |
| different ore processing | 0.581065 |
| ore processing | 0.924975 |
| residual ore wastes | 0.599459 |
| low technology methods | 0.47646 |
| highest GM BLLs | 0.489321 |
| ore processing villages | 0.622067 |
| mothers | 0.477643 |
| toxic lead fumes | 0.472489 |
| children | 0.753495 |
| Zamfara State | 0.777229 |
| environmental lead contamination | 0.47825 |
| high-risk villages | 0.495832 |
| young children | 0.545212 |
| ore processing methods | 0.813914 |
| Zamfara State Ministry | 0.480027 |
| ore processing activities | 0.631337 |
| villages | 0.624498 |
| dangerous work practices | 0.519235 |
|
| gold ore | 0.685939 |
| ore processing techniques | 0.634656 |
| BLLs | 0.559123 |
| safer ore processing | 0.560187 |
| environmental cleanup | 0.498463 |
| fatal lead poisoning | 0.480364 |
| environmental lead levels | 0.486797 |
| lead poisoning | 0.724672 |
| Environ Health Perspect | 0.514837 |
| village ore activities | 0.544289 |
| non–dust-generating ore processing | 0.623244 |
| dry grinding ore | 0.55929 |
| Venous blood samples | 0.522646 |
| high GM BLLs | 0.490853 |
| dangerous ore processing | 0.598261 |
| ore processing practices | 0.585687 |
| environmental lead exposure | 0.478717 |
| childhood lead poisoning | 0.483395 |
| hazardous processing sites | 0.473441 |
| GM BLL | 0.561032 |
| dust-generating ore processing | 0.631014 |
| BLLs т‰Ѕ45 ТЕg/dL | 0.535293 |
| blood lead levels | 0.568791 |
|
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Centers for Disease Control and Prevention |
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Information about the Current Strain of C.difficile - HAI |
null |
| appropriate first-line therapy | 0.27713 |
| traditionally ‘low risk | 0.284072 |
| infection control | 0.384573 |
| fluoroquinolone resistance | 0.201762 |
| peripartum women | 0.206899 |
| Disease Control | 0.203529 |
| antibiotic group | 0.201211 |
| antimicrobial resistance | 0.21695 |
| C. difficile-associated disease | 0.300086 |
| state health departments | 0.260295 |
| disease severity | 0.223115 |
| infection control practices | 0.350863 |
| associated increase | 0.207841 |
| severity | 0.224173 |
| new strain | 0.496656 |
|
| hospital outbreaks | 0.208524 |
| C. difficile infection | 0.717782 |
| C. difficile infections | 0.33324 |
| infection control experts | 0.321345 |
| healthcare facilities | 0.245484 |
| epidemic strain | 0.438552 |
| infection control measures | 0.326073 |
| scientific meetings | 0.200228 |
| C. diff infection | 0.900732 |
| specific strain | 0.266615 |
| metronidazole resistance | 0.204678 |
| severe disease | 0.2127 |
| various strains | 0.205764 |
| vancomycin resistance | 0.232567 |
|
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| 5199 |
Centers for Disease Control and Prevention |
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Obesity and Overweight for Professionals: Resources: Multimedia |
Take advantage of these free, easy-to-use communication tools to help support your overweight and obesity prevention and control efforts. |
| img src= | 0.933332 |
| CDC Vital Signsâ„¢ | 0.805261 |
| CDC VitalSigns Walk | 0.519969 |
| Vital Signs-Children Need | 0.483957 |
| healthier drinks | 0.671341 |
| National Childhood Obesity | 0.665329 |
| Improving Public Health | 0.474676 |
| title= | 0.504698 |
| Obesity Awareness Month. | 0.526714 |
| href= | 0.504723 |
| height | 0.522206 |
| border | 0.506705 |
| NPAO Data | 0.477949 |
| childhood obesity. | 0.472295 |
| Este programa habla | 0.468637 |
| short call-to-action message | 0.482058 |
| public health partner | 0.477134 |
| low-income preschoolers | 0.474962 |
| Copy | 0.683039 |
| State Indicator Report | 0.480614 |
| hospital support. | 0.474677 |
| HTML code | 0.471104 |
| code | 0.649604 |
| Physical Activity button | 0.523311 |
| hospital support | 0.533633 |
|
| Vital Signs Learn | 0.497754 |
| button | 0.609493 |
| Veggies- More Matters | 0.555437 |
| physical activity. | 0.473452 |
| Learn Vital Information | 0.553984 |
| community initiatives | 0.469641 |
| Childhood Obesity Awareness | 0.665313 |
| public health | 0.534273 |
| Vital Signs report | 0.590832 |
| CDC BMI-for-age growth | 0.504718 |
| Maps button | 0.48517 |
| recent CDC study | 0.54952 |
| healthy weight | 0.495204 |
| Matters Month. | 0.479275 |
| obesity epidemic | 0.654933 |
| vegetable budget | 0.46945 |
| style= | 0.503255 |
| childhood obesity | 0.722246 |
| CDC Vital Signs | 0.701025 |
| width | 0.522543 |
| CDC content | 0.479647 |
| health risks | 0.518806 |
| CDC health content | 0.521579 |
| food systems | 0.503035 |
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Centers for Disease Control and Prevention |
Html |
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Phenol - 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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| 6511 |
Centers for Disease Control and Prevention |
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Case Definitions to be Used For Investigations of Influenza A(H3N2)v Virus Cases |
Interim Guidance on Case Definitions to be Used For Investigations of Influenza A (H3N2) Variant Virus Cases - CDC |
| State public health | 0.330807 |
| infect swine | 0.308941 |
| Reverse-transcription polymerase chain | 0.347762 |
| recent attendance | 0.271509 |
| influenza-like illness | 0.292837 |
| case status | 0.287521 |
| positive rapid influenza | 0.484506 |
| interim guidance | 0.36333 |
| Recent close contact3 | 0.336478 |
| additional guidance | 0.339493 |
| direct contact | 0.322496 |
| Data Interpretation Update | 0.323201 |
| indirect contact | 0.280489 |
| CDC Flu rRT-PCR | 0.729872 |
| Flu rRT-PCR Dx | 0.71665 |
| state health departments | 0.344073 |
| CDC Influenza Division | 0.535574 |
| epidemiologic criteria | 0.276203 |
| rRT-PCR Dx Panel | 0.704891 |
| genetic sequencing results | 0.349074 |
| laboratory result | 0.273538 |
| local health departments | 0.357359 |
| pdmH1 negative results | 0.34461 |
|
| sufficient level | 0.277122 |
| test results | 0.279462 |
| presumptive positive | 0.272958 |
| following definitions | 0.279035 |
| additional testing | 0.27359 |
| Suspect Influenza | 0.426911 |
| fever ≥100°F | 0.272788 |
| potential cases | 0.283706 |
| pdmInfA positive results | 0.350468 |
| Recent contact | 0.280216 |
| H3N2v viruses | 0.280213 |
| diagnostic test | 0.273154 |
| virus infection | 0.533667 |
| package insert | 0.27162 |
| CDC-approved assay | 0.278254 |
| Specimen Collection | 0.276241 |
| clinical judgment | 0.272246 |
| patient meeting | 0.275884 |
| illness onset | 0.37197 |
| laboratory confirmation | 0.351448 |
| RT-PCR testing results | 0.359031 |
| public health laboratory | 0.346122 |
|
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Preventing Chronic Disease | Supermarket and Grocery Store-Based Interventions to Promote Healthful Food Choices and Eating Practices: A Systematic Review - CDC |
Increasingly high rates of obesity have heightened interest among researchers and practitioners in identifying evidence-based interventions to increase access to healthful foods and beverages. |
| food stores | 0.437077 |
| healthful food choices | 0.720922 |
| evidence | 0.567543 |
| healthful eating practices | 0.367116 |
| demand-side interventions | 0.414895 |
| public health practitioners | 0.355921 |
| clinical screening interventions | 0.47561 |
| food store interventions | 0.681948 |
| points | 0.488842 |
| health outcomes | 0.373411 |
| multilevel interventions | 0.45301 |
| intervention development | 0.35485 |
| food purchasing | 0.361638 |
| study design suitability | 0.356916 |
| positive intervention effect | 0.370789 |
| 12-week child-focused intervention | 0.366955 |
| healthful eating | 0.393951 |
| intervention categories | 0.374891 |
| study design | 0.742232 |
| successful interventions | 0.407775 |
| community-based interventions | 0.424455 |
| healthful food purchases | 0.366738 |
| health promotion interventions | 0.470444 |
| intervention participants | 0.376001 |
| intervention | 0.837503 |
|
| healthful dietary choices | 0.364319 |
| POP interventions | 0.479779 |
| intervention strategy | 0.392292 |
| summary score | 0.395946 |
| store sales data | 0.370344 |
| sales data | 0.479771 |
| studies | 0.440569 |
| grocery store interventions | 0.807642 |
| public health | 0.505349 |
| food store intervention | 0.417336 |
| effectiveness | 0.392457 |
| newer intervention strategies | 0.379988 |
| original research articles | 0.439384 |
| strategies | 0.413144 |
| social cognitive theory | 0.573402 |
| process measures | 0.363865 |
| Innovative supply-side interventions | 0.451839 |
| intervention category | 0.433598 |
| nutrition benefit interventions | 0.435615 |
| interventions | 0.999882 |
| grocery interventions | 0.450324 |
| store-based interventions | 0.441771 |
| concurrent comparison group | 0.392856 |
| evidence-based interventions | 0.481443 |
|
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Centers for Disease Control and Prevention |
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Disminución de los riesgos de contraer cáncer de mama |
Información básica de los CDC sobre cómo puede disminuir su riesgo de contraer cáncer de mama y cómo puede ayudar a prevenir esta enfermedad en su comunidad. |
| antecedentes familiares | 0.810732 |
| Archivo Apple Quicktime | 0.595704 |
| Archivo RealPlayer | 0.48781 |
| Archivo Zip Comprimido | 0.591165 |
| Archivo Microsoft PowerPoint | 0.617271 |
|
| Archivo Adobe PDF | 0.593682 |
| Archivo Microsoft Excel | 0.590211 |
| Próxima ¿Quiénes | 0.493142 |
| Archivo Microsoft | 0.934868 |
| Archivo Microsoft Word | 0.613859 |
|
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Invasive Cancer Incidence - Puerto Rico, 2007-2011 |
Mary Elizabeth O'Neil, MPH1, S. Jane Henley, MSPH1, Simple D. Singh, MD1, Reda J. |
| female breast cancer | 0.414913 |
| U.S. non-Hispanic whites | 0.395481 |
| invasive cancer incidence | 0.464676 |
| Puerto Rico Cessation | 0.456694 |
| Age-adjusted incidence rates | 0.430537 |
| incidence data | 0.415234 |
| Puerto Rico cancer | 0.470023 |
| age-adjusted incidence rate | 0.417821 |
| Central Cancer Registry | 0.458621 |
| Mary Elizabeth O'Neil | 0.376729 |
| Rico municipality incidence | 0.472379 |
| U.S. Cancer Statistics | 0.400695 |
| cancer incidence rates | 0.645156 |
| bronchus cancer incidence | 0.439562 |
| prostate cancer incidence | 0.505804 |
| overall cancer incidence | 0.435642 |
| similar incidence rates | 0.420848 |
| rectum cancer incidence | 0.453932 |
| U.S. overall population | 0.406098 |
| cancer incidence trends | 0.450026 |
| incidence rates | 0.757416 |
| cancers | 0.377551 |
| U.S. non-Hispanic blacks | 0.39592 |
| higher incidence rates | 0.426416 |
| U.S. standard population | 0.375473 |
|
| Puerto Rico | 0.900782 |
| Rico Central Cancer | 0.523246 |
| Puerto Rico Central | 0.5581 |
| cancer incidence rate | 0.471711 |
| Annual incidence rates | 0.433844 |
| breast cancer rates | 0.384563 |
| Puerto Rico municipalities | 0.450912 |
| National Cancer Institute | 0.375239 |
| Cancer Registries incidence | 0.457081 |
| annual incidence rate | 0.426275 |
| highest cancer incidence | 0.455713 |
| highest incidence rate | 0.410174 |
| Cancer Registries data | 0.389776 |
| central cancer registries | 0.466176 |
| high incidence | 0.400524 |
| U.S. Hispanic incidence | 0.426389 |
| U.S. population | 0.448171 |
| total U.S. population | 0.377233 |
| all-sites cancer incidence | 0.440584 |
| cancer site | 0.386475 |
| Puerto Rican residents | 0.435431 |
| breast cancer incidence | 0.467353 |
| Thyroid cancer incidence | 0.452293 |
| cancer incidence | 0.788184 |
|
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HAN Archive - 00381 - Clinical Considerations for the Evaluation of Ill Travelers from Liberia to the United States (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| advanced clinical course | 0.459145 |
| dead body swabbing | 0.457713 |
| infectious diseases | 0.541825 |
| Acute febrile illnesses | 0.479491 |
| lassa fever | 0.793488 |
| epidemiological history | 0.468703 |
| Ebola virus transmission | 0.55885 |
| Ebola virus exposure | 0.659475 |
| Ebola affected countries | 0.523107 |
| acute illness | 0.471978 |
| Ebola virus | 0.967547 |
| non-specific signs | 0.498736 |
| rapid identification | 0.46312 |
| symptomatic EVD patient | 0.528751 |
| likely infectious diseases | 0.474426 |
| Integrated laboratory testing | 0.464384 |
| common acute conditions | 0.482984 |
| World Health Organization | 0.478689 |
| diagnostic testing | 0.644246 |
| patient care | 0.459135 |
| symptoms | 0.540251 |
| EVD | 0.669477 |
| acute fever | 0.482889 |
| EVD risk assessment | 0.495627 |
|
| hospital infection control | 0.546085 |
| Ebola virus disease | 0.8604 |
| future EVD cases | 0.515994 |
| healthcare providers | 0.546038 |
| health history | 0.460644 |
| CDC Health Alert | 0.508408 |
| United States | 0.559948 |
| local health department | 0.489869 |
| viral hemorrhagic fever | 0.606053 |
| prevalent infectious diseases | 0.473231 |
| Africa. Lassa fever | 0.56622 |
| Common acute syndromes | 0.478847 |
| infection control practices/protocols | 0.546065 |
| hemorrhagic fever illness | 0.514157 |
| routine standard hospital | 0.551981 |
| standard hospital infection | 0.548532 |
| EVD cases | 0.545159 |
| suspect EVD cases | 0.513114 |
| acute GI illness | 0.473092 |
| Liberia | 0.601782 |
| viral hemorrhagic fevers | 0.46269 |
| West Africa | 0.544448 |
| clinical judgment | 0.550099 |
| Public health officials | 0.468547 |
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Notes from the Field: Group A Streptococcal PharyngitisMisdiagnoses at a Rural Urgent-Care Clinic - Wyoming, March2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| GAS pharyngitis | 0.997892 |
| throat swabs | 0.435715 |
| GAS carriers | 0.378158 |
| GAS pharyngitis infections | 0.554484 |
| Stanford T. Shulman | 0.38597 |
| laboratory-confirmed GAS pharyngitis | 0.54146 |
| IDSA guidelines | 0.446738 |
| Infectious Diseases Society | 0.382033 |
| adult health care | 0.389775 |
| antibiotic overuse | 0.409074 |
| acute rheumatic fever | 0.451218 |
| RADT throat swab | 0.433765 |
| GAS-positive throat cultures | 0.430799 |
| patients | 0.486047 |
| penicillin-resistant GAS | 0.38172 |
| 2Public Health Sciences | 0.373734 |
| clinic-provided line list | 0.380704 |
| RADT results | 0.420596 |
| asymptomatic adult contacts | 0.388752 |
| potential GAS pharyngitis | 0.550102 |
| antigen detection tests | 0.379701 |
| testing procedures | 0.379133 |
| common bacterial cause | 0.389371 |
| RADT-positive GAS pharyngitis | 0.527824 |
|
| assess clinic testing | 0.401176 |
| clinic practitioners | 0.380771 |
| line list | 0.419527 |
| certain RADT results | 0.379773 |
| positive test results | 0.379416 |
| acute GAS infections | 0.418381 |
| GAS pharyngitis symptoms | 0.582097 |
| Clayton Van Houten | 0.38835 |
| unusually high GAS | 0.400601 |
| clinic review testing | 0.395023 |
| H. Lurie Children | 0.3737 |
| Alexia Harrist | 0.390183 |
| negative RADT results | 0.381923 |
| sore throat | 0.821168 |
| initial antibiotic therapy | 0.396581 |
| Streptococcal Pharyngitis Misdiagnoses | 0.541209 |
| asymptomatic household contacts | 0.390133 |
| positive RADT results | 0.387261 |
| first-line therapy | 0.382189 |
| rural urgent-care clinic | 0.47659 |
| throat pain | 0.409516 |
| Wyoming Department | 0.378469 |
| RADT incubation periods | 0.373654 |
| GAS-positive family members | 0.376246 |
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