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Centers for Disease Control and Prevention |
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Optimizing women's health in a Title X family planning program, Baltimore County, Maryland, 2001-2004. |
Suggested citation for this article: Cheng D, Patel P. Optimizing women’s health in a Title X family planning program, Baltimore County, Maryland, 2001-2004. Prev Chronic Dis 2011;8(6):A126. |
| young women | 0.571667 |
| needs assessment | 0.388427 |
| County family planning | 0.374324 |
| eastern baltimore county | 0.679392 |
| Child Health Bureau | 0.421358 |
| reproductive health care | 0.414251 |
| women access health | 0.408195 |
| general health | 0.487254 |
| women’s health | 0.590925 |
| western Baltimore County | 0.469901 |
| task force | 0.616331 |
| Non–reproductive health care | 0.400243 |
| clinical services | 0.369334 |
| health care providers | 0.392433 |
| commercial health plans | 0.368854 |
| family planning staff | 0.416855 |
| health care services | 0.422997 |
| reproductive health visits | 0.383864 |
| reproductive health | 0.565869 |
| family planning services | 0.522383 |
| Baltimore County | 0.995108 |
| Maryland Department | 0.369378 |
| preventive health services | 0.421023 |
| non–reproductive health services | 0.442751 |
| domestic violence | 0.458707 |
|
| health care needs | 0.396435 |
| women | 0.827165 |
| patient volume | 0.40505 |
| mental health counseling | 0.371117 |
| health educator | 0.389434 |
| family planning | 0.983146 |
| health family planning | 0.411038 |
| health integration project | 0.384033 |
| health services | 0.687981 |
| family planning program | 0.702254 |
| reproductive health services | 0.410941 |
| substance abuse | 0.408992 |
| health care | 0.490617 |
| reproductive health service | 0.385315 |
| family planning clients | 0.412181 |
| family planning clinics | 0.577185 |
| Baltimore County Health | 0.4123 |
| health | 0.868173 |
| staff | 0.444841 |
| child health | 0.435784 |
| health care visits | 0.436706 |
| title x program | 0.394592 |
| general health screenings | 0.368836 |
| preventive services | 0.375081 |
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Centers for Disease Control and Prevention |
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Game Day Food Safety Tips | CDC Features |
Tackling a buffet at your Super Bowl gathering? Practice these game rules and keep the runs on the field. |
| small Vidalia onion | 0.520398 |
| game rules | 0.442349 |
| food thermometer | 0.566343 |
| fresh garlic | 0.520809 |
| Cooking Temperatures chart | 0.54017 |
| shallow containers | 0.538997 |
| tablespoons fresh cilantro | 0.547532 |
| small quantities | 0.42376 |
| right reasons | 0.436599 |
| buffet table | 0.450951 |
| harmful bacteria | 0.427975 |
| largest food consumption | 0.593396 |
| minimum internal temperature | 0.537872 |
| Wash your cutting | 0.439129 |
| fresh salsa | 0.457157 |
| microwave cooking | 0.428642 |
| rest times | 0.427243 |
| firm-skin fruits | 0.427027 |
| American tradition | 0.443495 |
| rest time | 0.439908 |
| inedible skins | 0.437223 |
| internal temperature | 0.541051 |
| Good news | 0.428046 |
| fresh Roma tomatoes | 0.52846 |
|
| ground beef sliders | 0.964816 |
| discourages pre-party nibblers | 0.542941 |
| Separate raw meats | 0.522509 |
| cooking process | 0.42586 |
| room temperature | 0.422465 |
| germy remote control | 0.544993 |
| food item | 0.460652 |
| ready-to-eat foods | 0.446222 |
| small service trays | 0.529948 |
| medium jalapeño pepper | 0.513181 |
| fresh lime juice | 0.686398 |
| food stays | 0.448992 |
| chicken wings | 0.660083 |
| food poisoning | 0.475504 |
| Cold spots | 0.427907 |
| soapy water | 0.441849 |
| hot foods | 0.619191 |
| clean vegetable brush | 0.523863 |
| Leftover foods | 0.443283 |
| perishable foods | 0.545621 |
| standing time | 0.429184 |
| Super Bowl party | 0.560841 |
| cold foods | 0.542969 |
| Super Bowl gathering | 0.76235 |
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Annual Report to the Nation on the Status of Cancer, 1975-2008 |
Death rates from all cancers combined for men, women, and children continued to decrease in the United States between 2004 and 2008. |
| obesity rates | 0.610091 |
| findings | 0.518591 |
| Schymura MJ | 0.59999 |
| unhealthy diet | 0.611433 |
| time period | 0.603942 |
| American Cancer Society | 0.735944 |
| new cancer diagnoses | 0.727557 |
| Disease Control | 0.617559 |
| children | 0.53931 |
| tobacco | 0.534332 |
| cancer incidence rates | 0.963893 |
| Henley SJ | 0.604258 |
| racial groups | 0.604493 |
| activity increase cancer | 0.698205 |
| EJ | 0.522334 |
| researchers | 0.520185 |
| level | 0.51854 |
| sufficient physical activity | 0.687895 |
| white women | 0.607249 |
| cancers | 0.602671 |
| death rates | 0.800028 |
| black women | 0.604754 |
| RN | 0.518501 |
| status | 0.537464 |
| Eheman | 0.516378 |
|
| Centers | 0.520168 |
| average | 0.51786 |
| Fulton JE | 0.60273 |
| United States | 0.718137 |
| annual report | 0.714763 |
| overall rate | 0.60645 |
| Breast cancer incidence | 0.75013 |
| Kohler BA | 0.599114 |
| Prevention | 0.520139 |
| Black men | 0.69242 |
| National Cancer Institute | 0.738767 |
| North American Association | 0.717015 |
| Ries LAG | 0.607921 |
| excess weight | 0.707585 |
| overweight | 0.52126 |
| highest cancer incidence | 0.745899 |
| largest decreases | 0.612074 |
| overweight— | 0.517574 |
| preventable causes | 0.608134 |
| Anderson | 0.516271 |
| physical activity | 0.836737 |
| special feature section | 0.684504 |
| Central Cancer Registries | 0.742541 |
| risk | 0.516841 |
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Centers for Disease Control and Prevention |
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Veterinary Health Care: Biological Safety - NIOSH Workplace Safety and Health Topic |
Veterinary medicine and animal care workers are at risk of exposure to zoonoses, infectious diseases that spread from animals to humans. Possible routes of transmission include aerosol, droplet spray, ingestion (oral), direct contact, indirect contact (e.g., fomite), or vector-borne. Sources of exposure include animals, body fluids, contaminated tools, surfaces, or other objects in the environment. |
| veterinary personnel | 0.349348 |
| Animal Handlers | 0.344529 |
| infectious diseases | 0.345349 |
| AVMA Waste Disposal | 0.379707 |
| Mass. Dept. | 0.340679 |
| Veterinary medicine | 0.354203 |
| Work-Related Asthma | 0.342163 |
| Lung Disease Bulletin | 0.373674 |
| Control Best Practices | 0.384248 |
| droplet spray | 0.348244 |
| veterinary concern | 0.347794 |
| Bird Flu | 0.339793 |
| Possible routes | 0.344772 |
| Canadian Council | 0.341867 |
| CDC EID Journal | 0.370857 |
| Bovine Tuberculosis | 0.339531 |
| Small Animal Veterinary | 0.387538 |
| Human Rabies Prevention | 0.379068 |
| zoonoses | 0.373635 |
| Antibiotic Resistance | 0.340605 |
| Iowa State University | 0.915622 |
| body fluids | 0.345316 |
| Ontario Veterinary College | 0.374774 |
| ACVIM Small Animal | 0.376416 |
|
| human pathogens | 0.351925 |
| Public Health Occupational | 0.406783 |
| Public Health | 0.763626 |
| CDC MRSA | 0.34519 |
| NIOSH Alert | 0.38551 |
| United States | 0.378322 |
| Avian Influenza | 0.373392 |
| methicillin-resistant Staphylococcus aureus | 0.397463 |
| Immunization Practices | 0.340534 |
| Infection Prevention | 0.356198 |
| AVMA Aardvarks2Zebras | 0.351918 |
| U.S. Marine Mammal | 0.369513 |
| Infection control practices | 0.398662 |
| zoonotic disease risks | 0.390624 |
| Laboratory Animal Workers | 0.380333 |
| Human-animal medicine | 0.343501 |
| Center | 0.369197 |
| Germs Blog Resources | 0.370632 |
| Food Security | 0.692949 |
| JAVMA article | 0.346999 |
| Veterinary Practices | 0.344549 |
| Poultry Workers | 0.34017 |
| health risks | 0.359235 |
| animal care workers | 0.393298 |
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Centers for Disease Control and Prevention |
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La biografía de Jessica - La historia de Jessica - Historias de la vida real - Consejos de exfumadores |
A pesar de que Jessica nunca fumó, muchos de los ataques de su hijo fueron provocados por estar expuesto al humo de segunda mano. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores. |
| Archivo Apple Quicktime | 0.779335 |
| Archivo RealPlayer | 0.677794 |
| Archivo Zip Comprimido | 0.77548 |
| Tips From Former | 0.781873 |
| Archivo Microsoft PowerPoint | 0.800735 |
|
| Archivo Adobe PDF | 0.777351 |
| Archivo Microsoft Excel | 0.775266 |
| verdadero desafÃo | 0.706911 |
| Archivo Microsoft | 0.980627 |
| Archivo Microsoft Word | 0.797553 |
|
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| 9746 |
Centers for Disease Control and Prevention |
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Histoplasmosis in a State Where It Is Not Known to BeEndemic - Montana, 2012-2013 |
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. |
| H. capsulatum disease | 0.516363 |
| recent travel | 0.597998 |
| Human Services | 0.41911 |
| H. capsulatum isolation | 0.510559 |
| left parotid gland | 0.416294 |
| clinically compatible illnesses | 0.552003 |
| south central Montana | 0.434153 |
| Clark City-County Health | 0.473448 |
| bird droppings | 0.46623 |
| itraconazole therapy | 0.459042 |
| histoplasmosis | 0.600608 |
| Ohio River | 0.453218 |
| H. capsulatum culture | 0.514061 |
| follow-up urine EIA | 0.422329 |
| Montana | 0.595046 |
| patients | 0.445152 |
| weight loss | 0.470078 |
| lymph node biopsy | 0.404272 |
| endemic fungal infections | 0.40455 |
| histoplasmosis endemicity | 0.514951 |
| Randall J. Nett | 0.460003 |
| left lung nodule | 0.406064 |
| City-County Health Dept | 0.476656 |
| uncontrolled diabetes mellitus | 0.481258 |
| bat guano | 0.73612 |
|
| diabetes mellitus type | 0.480428 |
| night sweats | 0.407169 |
| Montana residents | 0.437226 |
| Histoplasma capsulatum | 0.528464 |
| parotid gland | 0.44523 |
| recent travel history | 0.419486 |
| diagnostic delays | 0.429165 |
| Health-care providers | 0.443149 |
| patient | 0.652634 |
| urine histoplasma antigen | 0.432039 |
| southwest Montana | 0.440009 |
| bat guano exposure | 0.427909 |
| H. capsulatum | 0.962684 |
| granulomatous inflammation | 0.408922 |
| CT scan | 0.431381 |
| erythrocyte sedimentation rate | 0.462822 |
| H. capsulatum infection | 0.524406 |
| lower lung | 0.414034 |
| urine EIA | 0.446921 |
| common clinical presentation | 0.409187 |
| Low clinical suspicion | 0.406632 |
| urine EIA tests | 0.409679 |
| fungus Histoplasma capsulatum | 0.493899 |
| chest radiograph | 0.413869 |
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Centers for Disease Control and Prevention |
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Pandemic Planning - Respiratory Protection - NIOSH Workplace Safety and Health Topic |
Options to Prolong Existing and Surge Capacity Supplies of Respirators during Infection with Novel Influenza A Viruses Associated with Severe Disease |
| infection | 0.419151 |
| air purifying respirators | 0.833825 |
| professionals | 0.418928 |
| individuals | 0.41746 |
| result | 0.420414 |
| number | 0.417482 |
| limited reuse | 0.503746 |
| inventories | 0.424691 |
| responsibility | 0.422225 |
| options | 0.43867 |
| healthcare institution | 0.509525 |
| webpage | 0.422237 |
| respiratory protection | 0.636059 |
| surge capacity supplies | 0.631904 |
| events | 0.417924 |
| combination | 0.419195 |
| Implement practices | 0.500669 |
|
| types | 0.417946 |
| respiratory protection program | 0.635675 |
| Surgical | 0.418485 |
| infectious disease outbreak | 0.651038 |
| complications | 0.419624 |
| influenza pandemic | 0.541515 |
| N95 respirators | 0.979091 |
| respiratory pathogen outbreak | 0.663036 |
| elastomeric half-mask | 0.509169 |
| approaches | 0.418888 |
| healthcare facilities | 0.504247 |
| FDA-cleared | 0.418496 |
| N95 filtering facepiece | 0.764688 |
| highest risk | 0.503301 |
| administrative controls | 0.503617 |
| alternatives | 0.418964 |
| NIOSH-certified | 0.418518 |
|
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Pertussis | Whooping Cough | Surveillance | Cases by Year | CDC |
Pertussis Surveillance and Reporting |
| Surveillance | 0.259049 |
| United States | 0.535386 |
|
| related trend charts | 0.965087 |
| pertussis cases | 0.789691 |
|
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Eye Health and Contact Lenses | CDC Online Newsroom |
Preventing Infections: Healthy Habits Lead to Healthy Eyes |
| 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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Centers for Disease Control and Prevention |
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CHI Navigator Resources |
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