38 results on '"Walke, Henry T."'
Search Results
2. CDC Deployments to State, Tribal, Local, and Territorial Health Departments for COVID-19 Emergency Public Health Response — United States, January 21–July 25, 2020
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CDC COVID-19 State Tribal Local and Territorial Response Team, Dirlikov, Emilio, Fechter-Leggett, Ethan, Thorne, Stacy L., Worrell, Caitlin M., Smith-Grant, Jennifer C., Chang, Jonathan, Oster, Alexandra M., Bjork, Adam, Young, Stanley, Perez, Alvina U., Aden, Tricia, Anderson, Mark, Farrall, Susan, Jones-Wormley, Jaime, Walters, Katherine Hendricks, LeBlanc, Tanya T., Kone, Rebecca Greco, Hunter, David, Cooley, Laura A., Krishnasamy, Vikram, Fuld, Jennifer, Luna-Pinto, Carolina, Williams, Tanya, O’Connor, Ann, Nett, Randall J., Villanueva, Julie, Oussayef, Nadia L., Walke, Henry T., Shugart, Jill M., Honein, Margaret A., and Rose, Dale A.
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- 2020
3. COVID-19 Contact Tracing in Two Counties — North Carolina, June–July 2020
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Contact Tracing Assessment Team, Lash, R. Ryan, Donovan, Catherine V., Fleischauer, Aaron T., Moore, Zack S., Harris, Gibbie, Hayes, Susan, Sullivan, Meg, Wilburn, April, Ong, Jonathan, Wright, Dana, Washington, Raynard, Pulliam, Amy, Byers, Brittany, McLaughlin, Heather P., Dirlikov, Emilio, Rose, Dale A., Walke, Henry T., Honein, Margaret A., Moonan, Patrick K., and Oeltmann, John E.
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- 2020
4. Trends in Number and Distribution of COVID-19 Hotspot Counties — United States, March 8–July 15, 2020
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Oster, Alexandra M., Kang, Gloria J., Cha, Amy E., Beresovsky, Vladislav, Rose, Charles E., Rainisch, Gabriel, Porter, Laura, Valverde, Eduardo E., Peterson, Elisha B., Driscoll, Anne K., Norris, Tina, Wilson, Nana, Ritchey, Matthew, Walke, Henry T., Rose, Dale A., Oussayef, Nadia L., Parise, Monica E., Moore, Zack S., Fleischauer, Aaron T., Honein, Margaret A., Dirlikov, Emilio, and Villanueva, Julie
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- 2020
5. Update : COVID-19 Among Workers in Meat and Poultry Processing Facilities — United States, April–May 2020
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COVID-19 Response Team, Waltenburg, Michelle A., Victoroff, Tristan, Rose, Charles E., Butterfield, Marilee, Jervis, Rachel H., Fedak, Kristen M., Gabel, Julie A., Feldpausch, Amanda, Dunne, Eileen M., Austin, Connie, Ahmed, Farah S., Tubach, Sheri, Rhea, Charles, Krueger, Anna, Crum, David A., Vostok, Johanna, Moore, Michael J., Turabelidze, George, Stover, Derry, Donahue, Matthew, Edge, Karen, Gutierrez, Bernadette, Kline, Kelly E., Martz, Nichole, Rajotte, James C., Julian, Ernest, Diedhiou, Abdoulaye, Radcliffe, Rachel, Clayton, Joshua L., Ortbahn, Dustin, Cummins, Jason, Barbeau, Bree, Murphy, Julia, Darby, Brandy, Graff, Nicholas R., Dostal, Tia K. H., Pray, Ian W., Tillman, Courtney, Dittrich, Michelle M., Burns-Grant, Gail, Lee, Sooji, Spieckerman, Alisa, Iqbal, Kashif, Griffing, Sean M., Lawson, Alicia, Mainzer, Hugh M., Bealle, Andreea E., Edding, Erika, Arnold, Kathryn E., Rodriguez, Tomas, Merkle, Sarah, Pettrone, Kristen, Schlanger, Karen, LaBar, Kristin, Hendricks, Kate, Lasry, Arielle, Krishnasamy, Vikram, Walke, Henry T., Rose, Dale A., and Honein, Margaret A.
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- 2020
6. COVID-19 Among Workers in Meat and Poultry Processing Facilities — 19 States, April 2020
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Dyal, Jonathan W., Grant, Michael P., Broadwater, Kendra, Bjork, Adam, Waltenburg, Michelle A., Gibbins, John D., Hale, Christa, Silver, Maggie, Fischer, Marc, Steinberg, Jonathan, Basler, Colin A., Jacobs, Jesica R., Kennedy, Erin D., Tomasi, Suzanne, Trout, Douglas, Hornsby-Myers, Jennifer, Oussayef, Nadia L., Delaney, Lisa J., Patel, Ketki, Shetty, Varun, Kline, Kelly E., Schroeder, Betsy, Herlihy, Rachel K., House, Jennifer, Jervis, Rachel, Clayton, Joshua L., Ortbahn, Dustin, Austin, Connie, Berl, Erica, Moore, Zack, Buss, Bryan F., Stover, Derry, Westergaard, Ryan, Pray, Ian, DeBolt, Meghan, Person, Amy, Gabel, Julie, Kittle, Theresa S., Hendren, Pamela, Rhea, Charles, Holsinger, Caroline, Dunn, John, Turabelidze, George, Ahmed, Farah S., deFijter, Siestke, Pedati, Caitlin S., Rattay, Karyl, Smith, Erica E., Luna-Pinto, Carolina, Cooley, Laura A., Saydah, Sharon, Preacely, Nykiconia D., Maddox, Ryan A., Lundeen, Elizabeth, Goodwin, Bradley, Karpathy, Sandor E., Griffing, Sean, Jenkins, Mary M., Lowry, Garry, Schwarz, Rachel D., Yoder, Jonathan, Peacock, Georgina, Walke, Henry T., Rose, Dale A., and Honein, Margaret A.
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- 2020
7. Update : Interim Guidance for Health Care Providers Caring for Pregnant Women with Possible Zika Virus Exposure — United States (Including U.S. Territories), July 2017
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Oduyebo, Titilope, Polen, Kara D., Walke, Henry T., Reagan-Steiner, Sarah, Lathrop, Eva, Rabe, Ingrid B., Kuhnert-Tallman, Wendi L., Martin, Stacey W., Walker, Allison T., Gregory, Christopher J., Ades, Edwin W., Carroll, Darin S., Rivera, Maria, Perez-Padilla, Janice, Gould, Carolyn, Nemhauser, Jeffrey B., Beard, C. Ben, Harcourt, Jennifer L., Viens, Laura, Johansson, Michael, Ellington, Sascha R., Petersen, Emily, Smith, Laura A., Reichard, Jessica, Munoz-Jordan, Jorge, Beach, Michael J., Rose, Dale A., Barzilay, Ezra, Noonan-Smith, Michelle, Jamieson, Denise J., Zaki, Sherif R., Petersen, Lyle R., Honein, Margaret A., and Meaney-Delman, Dana
- Published
- 2017
8. Melioidosis Cases and Selected Reports of Occupational Exposures to Burkholderia pseudomallei — United States, 2008–2013
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Benoit, Tina J., Blaney, David D., Gee, Jay E., Elrod, Mindy G., Hoffmaster, Alex R., Doker, Thomas J., Bower, William A., and Walke, Henry T.
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- 2015
9. Contact Investigation of Melioidosis Cases Reveals Regional Endemicity in Puerto Rico
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Doker, Thomas J., Sharp, Tyler M., Rivera-Garcia, Brenda, Perez-Padilla, Janice, Benoit, Tina J., Ellis, Esther M., Elrod, Mindy G., Gee, Jay E., Shieh, Wun-Ju, Beesley, Cari A., Ryff, Kyle R., Traxler, Rita M., Galloway, Renee L., Haberling, Dana L., Waller, Lance A., Shadomy, Sean V., Bower, William A., Hoffmaster, Alex R., Walke, Henry T., and Blaney, David D.
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- 2015
10. Personal Protective Equipment and Risk Exposure Characterization for Naturally Occurring Anthrax
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Vieira, Antonio R., primary, Traxler, Rita M., additional, Salzer, Johanna, additional, Hendricks, Kate, additional, Melissa, Kadzik, additional, Dawson, Patrick, additional, Cossaboom, Caitlin M., additional, Weiner, Zachary, additional, Marston, Chung K., additional, Kolton, Cari B., additional, Stoddard, Robyn A., additional, Ivey, Melissa, additional, Walke, Henry T., additional, Hoffmaster, Alex R., additional, and Bower, William A., additional
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- 2022
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11. Death Certificate-Based ICD-10 Diagnosis Codes for COVID-19 Mortality Surveillance--United States, January-December 2020
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Gundlapalli, Adi V., Lavery, Amy M., Boehmer, Tegan K., Beach, Michael J., Walke, Henry T., Sutton, Paul D., and Anderson, Robert N.
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Mortality -- Reports -- Analysis ,Health - Abstract
On March 31, 2021, this report wasposted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). Approximately 375,000 deaths during 2020 were attributed to COVID-19 on death certificates reported [...]
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- 2021
12. CDC Deployments to State, Tribal, Local, and Territorial Health Departments for COVID-19 Emergency Public Health Response — United States, January 21–July 25, 2020
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Dirlikov, Emilio, Fechter-Leggett, Ethan, Thorne, Stacy L., Worrell, Caitlin M., Smith-Grant, Jennifer C., Chang, Jonathan, Oster, Alexandra M., Bjork, Adam, Young, Stanley, Perez, Alvina U., Aden, Tricia, Anderson, Mark, Farrall, Susan, Jones-Wormley, Jaime, Walters, Katherine Hendricks, LeBlanc, Tanya T., Kone, Rebecca Greco, Hunter, David, Cooley, Laura A., Krishnasamy, Vikram, Fuld, Jennifer, Luna-Pinto, Carolina, Williams, Tanya, O’Connor, Ann, Nett, Randall J., Villanueva, Julie, Oussayef, Nadia L., Walke, Henry T., Shugart, Jill M., Honein, Margaret A., Rose, Dale A., Bang, Noelle Anderson, CDC, David, Barham, Terrika, Benton, Shaliondel, Blain, Amy, Boyd, Mary, Bradley, Bruce, Bright, Shakia, Bruce, Michael, Cabada, Victor, Castro, Georgina, Cherry-Brown, Dena, Coleman, Erik, Cowins, Janet, Craig, Pamela, Daniel, Johnni, Davis, Darlene, De, Stacy, Drexler, Naomi, Dull, Jessica, Farr, Sherry, Finley, Phillip, Finn, Karrie, Freeman, Denise, Fukayama, Corinne, Gaarenstroom, Nicole, Ghertner, Micha, Glover, Maleeka, Grant, Gail, Griffing, Sean, Harris, DeMoncheri, Harris, Diane, Hayes, Nikki, Hee, Seung, Henry, Corey, Henry, Donna, Hines, Janine, Hudson, Amy, Iqbal, Kashif, Isenberg, Jennifer, Jenkins, Mary, Kabore, Charlotte, Karpathy, Sandor, Kennebrew, Daphne, Kun, Karen, Lash, Ryan, Lavinghouze, Rene, Leavitt, Rachel, Lee, Sooji, Leidman, Eva, Leon, Oscar, Leonard, Sarah, Lowry, Garry, Lundeen, Elizabeth, Lynch, Mechele, Mabry, Michon, Manning, Jana, McCall, Kelsey, McGruder, Henraya, Merkle, Sarah, Meyer, Jenna, Moonan, Patrick, Moore, Jazmyn, Norwood, Pamelian, Nu, Seseni, Oeltmann, John, Palipudi, Krishna, Parise, Monica, Parry, Ritchard, Patta, Abrienne, Pendergraft, Chandra, Pettrone, Kristen, Pfeifer, Heidi, Powell, Tracy, Preacely, Nykiconia, Qi, Yanping, Ricaldi, Jessica, Richardson-Moore, Regina, Roberson, LaShonda, Rodriguez, Sergio, Rodriguez, Tomas, Ruiz, Andrew, Saydah, Sharon, Senesie, Abdoulie, Sexton, Connie, Shanklin, Shari, Sieradzki, Christopher, Simpson, Amberia, Simpson, De’Lisa, Snodgrass, Stephanie, Speissegger, Lisa, Spieckerman, Alisa, Stollar, Danielle, Stone, Nimalie, Sunshine, Brittany, Swann, Philana, Uddin, Rezwana, Valencia, Diana, Walker, Chastity, Washington, Malaika, Welch, Seh, Williams, Shawna, Woodruff, Rebecca, Woodson, Evonne, Yatabe, Graydon, and Yusuf, Hussain
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medicine.medical_specialty ,Health (social science) ,Epidemiology ,Health, Toxicology and Mutagenesis ,Pneumonia, Viral ,Ethnic group ,01 natural sciences ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Pandemic ,medicine ,Humans ,Full Report ,030212 general & internal medicine ,0101 mathematics ,Pandemics ,Local Government ,business.industry ,Social distance ,Public health ,010102 general mathematics ,COVID-19 ,General Medicine ,United States ,Health equity ,Software deployment ,Local government ,Family medicine ,Public Health Practice ,Centers for Disease Control and Prevention, U.S ,Coronavirus Infections ,business ,Public Health Administration ,State Government - Abstract
Coronavirus disease 2019 (COVID-19) is a viral respiratory illness caused by SARS-CoV-2. During January 21-July 25, 2020, in response to official requests for assistance with COVID-19 emergency public health response activities, CDC deployed 208 teams to assist 55 state, tribal, local, and territorial health departments. CDC deployment data were analyzed to summarize activities by deployed CDC teams in assisting state, tribal, local, and territorial health departments to identify and implement measures to contain SARS-CoV-2 transmission (1). Deployed teams assisted with the investigation of transmission in high-risk congregate settings, such as long-term care facilities (53 deployments; 26% of total), food processing facilities (24; 12%), correctional facilities (12; 6%), and settings that provide services to persons experiencing homelessness (10; 5%). Among the 208 deployed teams, 178 (85%) provided assistance to state health departments, 12 (6%) to tribal health departments, 10 (5%) to local health departments, and eight (4%) to territorial health departments. CDC collaborations with health departments have strengthened local capacity and provided outbreak response support. Collaborations focused attention on health equity issues among disproportionately affected populations (e.g., racial and ethnic minority populations, essential frontline workers, and persons experiencing homelessness) and through a place-based focus (e.g., persons living in rural or frontier areas). These collaborations also facilitated enhanced characterization of COVID-19 epidemiology, directly contributing to CDC data-informed guidance, including guidance for serial testing as a containment strategy in high-risk congregate settings, targeted interventions and prevention efforts among workers at food processing facilities, and social distancing.
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- 2020
13. COVID-19 Contact Tracing in Two Counties — North Carolina, June–July 2020
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Lash, R. Ryan, Donovan, Catherine V., Fleischauer, Aaron T., Moore, Zack S., Harris, Gibbie, Hayes, Susan, Sullivan, Meg, Wilburn, April, Ong, Jonathan, Wright, Dana, Washington, Raynard, Pulliam, Amy, Byers, Brittany, McLaughlin, Heather P., Dirlikov, Emilio, Rose, Dale A., Walke, Henry T., Honein, Margaret A., Moonan, Patrick K., Oeltmann, John E., Griffing, Sean, Williams, Tanya, Luna-Pinto, Carolina, Romaguera, Raul, Thorpe, Phoebe, Villanueva, Julie, Bernstein, Kyle, Woodruff, Rachel, McFarlane, Mary, Pevzner, Eric, Cressman, Andrew, Carolina, North, Mobley, Victoria, and Samoff, Erika
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Health (social science) ,Coronavirus disease 2019 (COVID-19) ,Epidemiology ,Health, Toxicology and Mutagenesis ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pneumonia, Viral ,01 natural sciences ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Pandemic ,North Carolina ,Medicine ,Humans ,030212 general & internal medicine ,Full Report ,0101 mathematics ,Pandemics ,Community engagement ,business.industry ,Incidence (epidemiology) ,Incidence ,010102 general mathematics ,COVID-19 ,General Medicine ,Specimen collection ,Contact Tracing ,business ,Coronavirus Infections ,Contact tracing ,Demography ,Health department - Abstract
Contact tracing is a strategy implemented to minimize the spread of communicable diseases (1,2). Prompt contact tracing, testing, and self-quarantine can reduce the transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (3,4). Community engagement is important to encourage participation in and cooperation with SARS-CoV-2 contact tracing (5). Substantial investments have been made to scale up contact tracing for COVID-19 in the United States. During June 1-July 12, 2020, the incidence of COVID-19 cases in North Carolina increased 183%, from seven to 19 per 100,000 persons per day* (6). To assess local COVID-19 contact tracing implementation, data from two counties in North Carolina were analyzed during a period of high incidence. Health department staff members investigated 5,514 (77%) persons with COVID-19 in Mecklenburg County and 584 (99%) in Randolph Counties. No contacts were reported for 48% of cases in Mecklenburg and for 35% in Randolph. Among contacts provided, 25% in Mecklenburg and 48% in Randolph could not be reached by telephone and were classified as nonresponsive after at least one attempt on 3 consecutive days of failed attempts. The median interval from specimen collection from the index patient to notification of identified contacts was 6 days in both counties. Despite aggressive efforts by health department staff members to perform case investigations and contact tracing, many persons with COVID-19 did not report contacts, and many contacts were not reached. These findings indicate that improved timeliness of contact tracing, community engagement, and increased use of community-wide mitigation are needed to interrupt SARS-CoV-2 transmission.
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- 2020
14. Summary of Guidance for Public Health Strategies to Address High Levels of Community Transmission of SARS-CoV-2 and Related Deaths, December 2020
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Honein, Margaret A., Christie, Athalia, Rose, Dale A., Brooks, John T., Meaney-Delman, Dana, Cohn, Amanda, Sauber-Schatz, Erin K., Walker, Allison, McDonald, L. Clifford, Liburd, Leandris C., Hall, Jeffrey E., Fry, Alicia M., Hall, Aron J., Gupta, Neil, Kuhnert, Wendi L., Yoon, Paula W., Gundlapalli, Adi V., Beach, Michael J., and Walke, Henry T.
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Public health -- Health aspects ,Health - Abstract
On December 4, 2020, this report was posted as an MMWR Early Release on the MMWR website (https://www.cdc.gov/mmwr). In the 10 months since the first confirmed case of coronavirus disease [...]
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- 2020
15. Replicating Success: Developing a Standard FETP Curriculum
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Traicoff, Denise A., Walke, Henry T., Jones, Donna S., Gogstad, Eric K., Imtiaz, Rubina, and White, Mark E.
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- 2008
16. Evidence, Experience, Expertise, and the US Coronavirus Disease 2019 Public Health Response
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Goswami, Neela D, primary, Fiore, Anthony E, additional, and Walke, Henry T, additional
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- 2021
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17. Health related quality of life measures by demographics and common health risks, Jordan 2004
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Belbeisi, Adel, Zindah, Meyasser, Walke, Henry T., Jarrar, Bassam, and Mokdad, Ali H.
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- 2009
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18. SARS-CoV-2 Variants of Concern in the United States—Challenges and Opportunities
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Walensky, Rochelle P., primary, Walke, Henry T., additional, and Fauci, Anthony S., additional
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- 2021
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19. COVID-19 Contact Tracing as an Enduringly Important Public Health Tool
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Taylor, Melanie M., primary, Spencer, Kimberly D., additional, and Walke, Henry T., additional
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- 2021
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20. Preventing and Responding to COVID-19 on College Campuses
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Walke, Henry T., primary, Honein, Margaret A., additional, and Redfield, Robert R., additional
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- 2020
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21. A surveillance summary of smoking and review of tobacco control in Jordan
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Brown David W, Batieha Anwar, Al Nsour Mohannad, Belbeisi Adel, and Walke Henry T
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Public aspects of medicine ,RA1-1270 - Abstract
Abstract The burden of smoking-related diseases in Jordan is increasingly evident. During 2006, chronic, noncommunicable diseases (NCDs) accounted for more than 50% of all deaths in Jordan. With this evidence in hand, we highlight the prevalence of smoking in Jordan among youth and adults and briefly review legislation that governs tobacco control in Jordan. The prevalence of smoking in Jordan remains unacceptably high with smoking and use of tobacco prevalences ranging from 15% to 30% among students aged 13-15 years and a current smoking prevalence near 50% among men. Opportunities exist to further reduce smoking among both youth and adults; however, combating tobacco use in Jordan will require partnerships and long-term commitments between both private and public institutions as well as within local communities.
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- 2009
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22. Enhancing Surveillance and Diagnostics in Anthrax-Endemic Countries
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Vieira, Antonio R., primary, Salzer, Johanna S., additional, Traxler, Rita M., additional, Hendricks, Katherine A., additional, Kadzik, Melissa E., additional, Marston, Chung K., additional, Kolton, Cari B., additional, Stoddard, Robyn A., additional, Hoffmaster, Alex R., additional, Bower, William A., additional, and Walke, Henry T., additional
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- 2017
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23. Melioidosis diagnostic workshop, 2013
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Hoffmaster, Alex R, AuCoin, David, Baccam, Prasith, Baggett, Henry C, Baird, Rob, Bhengsri, Saithip, Blaney, David D, Brett, Paul J, Brooks, Timothy JG, Brown, Katherine A, Chantratita, Narisara, Cheng, Allen C, Dance, David AB, Decuypere, Saskia, Defenbaugh, Dawn, Gee, Jay E, Houghton, Raymond, Jorakate, Possawat, Lertmemongkolchai, Ganjana, Limmathurotsakul, Direk, Merlin, Toby L, Mukhopadhyay, Chiranjay, Norton, Robert, Peacock, Sharon J, Rolim, Dionne B, Simpson, Andrew J, Steinmetz, Ivo, Stoddard, Robyn A, Stokes, Martha M, Sue, David, Tuanyok, Apichai, Whistler, Toni, Wuthiekanun, Vanaporn, and Walke, Henry T
- Abstract
Melioidosis is a severe disease that can be difficult to diagnose because of its diverse clinical manifestations and a lack of adequate diagnostic capabilities for suspected cases. There is broad interest in improving detection and diagnosis of this disease not only in melioidosis-endemic regions but also outside these regions because melioidosis may be underreported and poses a potential bioterrorism challenge for public health authorities. Therefore, a workshop of academic, government, and private sector personnel from around the world was convened to discuss the current state of melioidosis diagnostics, diagnostic needs, and future directions.
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- 2016
24. Postexposure Prophylaxis After Possible Anthrax Exposure: Adherence and Adverse Events
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Nolen, Leisha D., primary, Traxler, Rita M., additional, Kharod, Grishma A., additional, Kache, Pallavi A., additional, Katharios-Lanwermeyer, Stefan, additional, Hendricks, Katherine A., additional, Shadomy, Sean V., additional, Bower, William A., additional, Meaney-Delman, Dana, additional, and Walke, Henry T., additional
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- 2016
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25. A Review of Melioidosis Cases in the Americas
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Benoit, Tina J., primary, Elrod, Mindy G., additional, Walke, Henry T., additional, Inglis, Timothy J. J., additional, Bower, William A., additional, Gee, Jay E., additional, Doker, Thomas J., additional, Hoffmaster, Alex R., additional, Rolim, Dionne B., additional, and Blaney, David D., additional
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- 2015
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26. Melioidosis Diagnostic Workshop, 20131
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Hoffmaster, Alex R., primary, AuCoin, David, additional, Baccam, Prasith, additional, Baggett, Henry C., additional, Baird, Rob, additional, Bhengsri, Saithip, additional, Blaney, David D., additional, Brett, Paul J., additional, Brooks, Timothy J.G., additional, Brown, Katherine A., additional, Chantratita, Narisara, additional, Cheng, Allen C., additional, Dance, David A.B., additional, Decuypere, Saskia, additional, Defenbaugh, Dawn, additional, Gee, Jay E., additional, Houghton, Raymond, additional, Jorakate, Possawat, additional, Lertmemongkolchai, Ganjana, additional, Limmathurotsakul, Direk, additional, Merlin, Toby L., additional, Mukhopadhyay, Chiranjay, additional, Norton, Robert, additional, Peacock, Sharon J., additional, Rolim, Dionne B., additional, Simpson, Andrew J., additional, Steinmetz, Ivo, additional, Stoddard, Robyn A., additional, Stokes, Martha M., additional, Sue, David, additional, Tuanyok, Apichai, additional, Whistler, Toni, additional, Wuthiekanun, Vanaporn, additional, and Walke, Henry T., additional
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- 2015
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27. Contact Investigation of Melioidosis Cases Reveals Regional Endemicity in Puerto Rico
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Doker, Thomas J., primary, Sharp, Tyler M., additional, Rivera-Garcia, Brenda, additional, Perez-Padilla, Janice, additional, Benoit, Tina J., additional, Ellis, Esther M., additional, Elrod, Mindy G., additional, Gee, Jay E., additional, Shieh, Wun-Ju, additional, Beesley, Cari A., additional, Ryff, Kyle R., additional, Traxler, Rita M., additional, Galloway, Renee L., additional, Haberling, Dana L., additional, Waller, Lance A., additional, Shadomy, Sean V., additional, Bower, William A., additional, Hoffmaster, Alex R., additional, Walke, Henry T., additional, and Blaney, David D., additional
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- 2014
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28. Review Article: A Review of Melioidosis Cases in the Americas.
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Benoit, Tina J., Blaney, David D., Doker, Thomas J., Gee, Jay E., Elrod, Mindy G., Rolim, Dionne B., Inglis, Timothy J. J., Hoffmaster, Alex R., Bower, William A., and Walke, Henry T.
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- 2015
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29. A surveillance summary of smoking and review of tobacco control in Jordan
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Belbeisi, Adel, primary, Al Nsour, Mohannad, additional, Batieha, Anwar, additional, Brown, David W, additional, and Walke, Henry T, additional
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- 2009
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30. Case Report: Fatal Burkholderia pseudomallei Infection Initially Reported as a Bacillus Species, Ohio, 2013.
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Doker, Thomas J., Quinn, Celia L., Salehi, Ellen D., Sherwood, Joshua J., Benoit, Tina J., Glass Elrod, Mindy, Gee, Jay E., Shadomy, Sean V., Bower, William A., Hoffmaster, Alex R., Walke, Henry T., Blaney, David D., and DiOrio, Mary S.
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- 2014
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31. Death Certificate-Based ICD-10 Diagnosis Codes for COVID-19 Mortality Surveillance - United States, January-December 2020.
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Gundlapalli AV, Lavery AM, Boehmer TK, Beach MJ, Walke HT, Sutton PD, and Anderson RN
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- Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Reproducibility of Results, United States epidemiology, Young Adult, COVID-19 mortality, Death Certificates, International Classification of Diseases, Public Health Surveillance methods
- Abstract
Approximately 375,000 deaths during 2020 were attributed to COVID-19 on death certificates reported to CDC (1). Concerns have been raised that some deaths are being improperly attributed to COVID-19 (2). Analysis of International Classification of Diseases, Tenth Revision (ICD-10) diagnoses on official death certificates might provide an expedient and efficient method to demonstrate whether reported COVID-19 deaths are being overestimated. CDC assessed documentation of diagnoses co-occurring with an ICD-10 code for COVID-19 (U07.1) on U.S. death certificates from 2020 that had been reported to CDC as of February 22, 2021. Among 378,048 death certificates listing U07.1, a total of 357,133 (94.5%) had at least one other ICD-10 code; 20,915 (5.5%) had only U07.1. Overall, 97.3% of 357,133 death certificates with at least one other diagnosis (91.9% of all 378,048 death certificates) were noted to have a co-occurring diagnosis that was a plausible chain-of-event condition (e.g., pneumonia or respiratory failure), a significant contributing condition (e.g., hypertension or diabetes), or both. Overall, 70%-80% of death certificates had both a chain-of-event condition and a significant contributing condition or a chain-of-event condition only; this was noted for adults aged 18-84 years, both males and females, persons of all races and ethnicities, those who died in inpatient and outpatient or emergency department settings, and those whose manner of death was listed as natural. These findings support the accuracy of COVID-19 mortality surveillance in the United States using official death certificates. High-quality documentation of co-occurring diagnoses on the death certificate is essential for a comprehensive and authoritative public record. Continued messaging and training (3) for professionals who complete death certificates remains important as the pandemic progresses. Accurate mortality surveillance is critical for understanding the impact of variants of SARS-CoV-2, the virus that causes COVID-19, and of COVID-19 vaccination and for guiding public health action., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
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- 2021
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32. Summary of Guidance for Public Health Strategies to Address High Levels of Community Transmission of SARS-CoV-2 and Related Deaths, December 2020.
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Honein MA, Christie A, Rose DA, Brooks JT, Meaney-Delman D, Cohn A, Sauber-Schatz EK, Walker A, McDonald LC, Liburd LC, Hall JE, Fry AM, Hall AJ, Gupta N, Kuhnert WL, Yoon PW, Gundlapalli AV, Beach MJ, and Walke HT
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- COVID-19 mortality, COVID-19 transmission, Community-Acquired Infections mortality, Community-Acquired Infections prevention & control, Community-Acquired Infections transmission, Humans, United States epidemiology, COVID-19 prevention & control, Guidelines as Topic, Public Health Practice
- Abstract
In the 10 months since the first confirmed case of coronavirus disease 2019 (COVID-19) was reported in the United States on January 20, 2020 (1), approximately 13.8 million cases and 272,525 deaths have been reported in the United States. On October 30, the number of new cases reported in the United States in a single day exceeded 100,000 for the first time, and by December 2 had reached a daily high of 196,227.* With colder weather, more time spent indoors, the ongoing U.S. holiday season, and silent spread of disease, with approximately 50% of transmission from asymptomatic persons (2), the United States has entered a phase of high-level transmission where a multipronged approach to implementing all evidence-based public health strategies at both the individual and community levels is essential. This summary guidance highlights critical evidence-based CDC recommendations and sustainable strategies to reduce COVID-19 transmission. These strategies include 1) universal face mask use, 2) maintaining physical distance from other persons and limiting in-person contacts, 3) avoiding nonessential indoor spaces and crowded outdoor spaces, 4) increasing testing to rapidly identify and isolate infected persons, 5) promptly identifying, quarantining, and testing close contacts of persons with known COVID-19, 6) safeguarding persons most at risk for severe illness or death from infection with SARS-CoV-2, the virus that causes COVID-19, 7) protecting essential workers with provision of adequate personal protective equipment and safe work practices, 8) postponing travel, 9) increasing room air ventilation and enhancing hand hygiene and environmental disinfection, and 10) achieving widespread availability and high community coverage with effective COVID-19 vaccines. In combination, these strategies can reduce SARS-CoV-2 transmission, long-term sequelae or disability, and death, and mitigate the pandemic's economic impact. Consistent implementation of these strategies improves health equity, preserves health care capacity, maintains the function of essential businesses, and supports the availability of in-person instruction for kindergarten through grade 12 schools and preschool. Individual persons, households, and communities should take these actions now to reduce SARS-CoV-2 transmission from its current high level. These actions will provide a bridge to a future with wide availability and high community coverage of effective vaccines, when safe return to more everyday activities in a range of settings will be possible., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
- Published
- 2020
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33. COVID-19 Contact Tracing in Two Counties - North Carolina, June-July 2020.
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Lash RR, Donovan CV, Fleischauer AT, Moore ZS, Harris G, Hayes S, Sullivan M, Wilburn A, Ong J, Wright D, Washington R, Pulliam A, Byers B, McLaughlin HP, Dirlikov E, Rose DA, Walke HT, Honein MA, Moonan PK, and Oeltmann JE
- Subjects
- COVID-19, Humans, Incidence, North Carolina epidemiology, Contact Tracing statistics & numerical data, Coronavirus Infections epidemiology, Coronavirus Infections prevention & control, Pandemics prevention & control, Pneumonia, Viral epidemiology, Pneumonia, Viral prevention & control
- Abstract
Contact tracing is a strategy implemented to minimize the spread of communicable diseases (1,2). Prompt contact tracing, testing, and self-quarantine can reduce the transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (3,4). Community engagement is important to encourage participation in and cooperation with SARS-CoV-2 contact tracing (5). Substantial investments have been made to scale up contact tracing for COVID-19 in the United States. During June 1-July 12, 2020, the incidence of COVID-19 cases in North Carolina increased 183%, from seven to 19 per 100,000 persons per day* (6). To assess local COVID-19 contact tracing implementation, data from two counties in North Carolina were analyzed during a period of high incidence. Health department staff members investigated 5,514 (77%) persons with COVID-19 in Mecklenburg County and 584 (99%) in Randolph Counties. No contacts were reported for 48% of cases in Mecklenburg and for 35% in Randolph. Among contacts provided, 25% in Mecklenburg and 48% in Randolph could not be reached by telephone and were classified as nonresponsive after at least one attempt on 3 consecutive days of failed attempts. The median interval from specimen collection from the index patient to notification of identified contacts was 6 days in both counties. Despite aggressive efforts by health department staff members to perform case investigations and contact tracing, many persons with COVID-19 did not report contacts, and many contacts were not reached. These findings indicate that improved timeliness of contact tracing, community engagement, and increased use of community-wide mitigation are needed to interrupt SARS-CoV-2 transmission., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
- Published
- 2020
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34. Trends in Number and Distribution of COVID-19 Hotspot Counties - United States, March 8-July 15, 2020.
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Oster AM, Kang GJ, Cha AE, Beresovsky V, Rose CE, Rainisch G, Porter L, Valverde EE, Peterson EB, Driscoll AK, Norris T, Wilson N, Ritchey M, Walke HT, Rose DA, Oussayef NL, Parise ME, Moore ZS, Fleischauer AT, Honein MA, Dirlikov E, and Villanueva J
- Subjects
- COVID-19, Humans, Incidence, United States epidemiology, Coronavirus Infections epidemiology, Pandemics, Pneumonia, Viral epidemiology, Rural Population statistics & numerical data, Urban Population statistics & numerical data
- Abstract
The geographic areas in the United States most affected by the coronavirus disease 2019 (COVID-19) pandemic have changed over time. On May 7, 2020, CDC, with other federal agencies, began identifying counties with increasing COVID-19 incidence (hotspots) to better understand transmission dynamics and offer targeted support to health departments in affected communities. Data for January 22-July 15, 2020, were analyzed retrospectively (January 22-May 6) and prospectively (May 7-July 15) to detect hotspot counties. No counties met hotspot criteria during January 22-March 7, 2020. During March 8-July 15, 2020, 818 counties met hotspot criteria for ≥1 day; these counties included 80% of the U.S. population. The daily number of counties meeting hotspot criteria peaked in early April, decreased and stabilized during mid-April-early June, then increased again during late June-early July. The percentage of counties in the South and West Census regions* meeting hotspot criteria increased from 10% and 13%, respectively, during March-April to 28% and 22%, respectively, during June-July. Identification of community transmission as a contributing factor increased over time, whereas identification of outbreaks in long-term care facilities, food processing facilities, correctional facilities, or other workplaces as contributing factors decreased. Identification of hotspot counties and understanding how they change over time can help prioritize and target implementation of U.S. public health response activities.
- Published
- 2020
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35. Update: COVID-19 Among Workers in Meat and Poultry Processing Facilities - United States, April-May 2020.
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Waltenburg MA, Victoroff T, Rose CE, Butterfield M, Jervis RH, Fedak KM, Gabel JA, Feldpausch A, Dunne EM, Austin C, Ahmed FS, Tubach S, Rhea C, Krueger A, Crum DA, Vostok J, Moore MJ, Turabelidze G, Stover D, Donahue M, Edge K, Gutierrez B, Kline KE, Martz N, Rajotte JC, Julian E, Diedhiou A, Radcliffe R, Clayton JL, Ortbahn D, Cummins J, Barbeau B, Murphy J, Darby B, Graff NR, Dostal TKH, Pray IW, Tillman C, Dittrich MM, Burns-Grant G, Lee S, Spieckerman A, Iqbal K, Griffing SM, Lawson A, Mainzer HM, Bealle AE, Edding E, Arnold KE, Rodriguez T, Merkle S, Pettrone K, Schlanger K, LaBar K, Hendricks K, Lasry A, Krishnasamy V, Walke HT, Rose DA, and Honein MA
- Subjects
- Adult, Animals, COVID-19, Female, Humans, Male, Meat, Middle Aged, Pandemics, Poultry, United States epidemiology, Coronavirus Infections epidemiology, Disease Outbreaks, Food-Processing Industry, Occupational Diseases epidemiology, Pneumonia, Viral epidemiology
- Abstract
Meat and poultry processing facilities face distinctive challenges in the control of infectious diseases, including coronavirus disease 2019 (COVID-19) (1). COVID-19 outbreaks among meat and poultry processing facility workers can rapidly affect large numbers of persons. Assessment of COVID-19 cases among workers in 115 meat and poultry processing facilities through April 27, 2020, documented 4,913 cases and 20 deaths reported by 19 states (1). This report provides updated aggregate data from states regarding the number of meat and poultry processing facilities affected by COVID-19, the number and demographic characteristics of affected workers, and the number of COVID-19-associated deaths among workers, as well as descriptions of interventions and prevention efforts at these facilities. Aggregate data on confirmed COVID-19 cases and deaths among workers identified and reported through May 31, 2020, were obtained from 239 affected facilities (those with a laboratory-confirmed COVID-19 case in one or more workers) in 23 states.* COVID-19 was confirmed in 16,233 workers, including 86 COVID-19-related deaths. Among 14 states reporting the total number of workers in affected meat and poultry processing facilities (112,616), COVID-19 was diagnosed in 9.1% of workers. Among 9,919 (61%) cases in 21 states with reported race/ethnicity, 87% occurred among racial and ethnic minority workers. Commonly reported interventions and prevention efforts at facilities included implementing worker temperature or symptom screening and COVID-19 education, mandating face coverings, adding hand hygiene stations, and adding physical barriers between workers. Targeted workplace interventions and prevention efforts that are appropriately tailored to the groups most affected by COVID-19 are critical to reducing both COVID-19-associated occupational risk and health disparities among vulnerable populations. Implementation of these interventions and prevention efforts
† across meat and poultry processing facilities nationally could help protect workers in this critical infrastructure industry., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.- Published
- 2020
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36. COVID-19 Among Workers in Meat and Poultry Processing Facilities - 19 States, April 2020.
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Dyal JW, Grant MP, Broadwater K, Bjork A, Waltenburg MA, Gibbins JD, Hale C, Silver M, Fischer M, Steinberg J, Basler CA, Jacobs JR, Kennedy ED, Tomasi S, Trout D, Hornsby-Myers J, Oussayef NL, Delaney LJ, Patel K, Shetty V, Kline KE, Schroeder B, Herlihy RK, House J, Jervis R, Clayton JL, Ortbahn D, Austin C, Berl E, Moore Z, Buss BF, Stover D, Westergaard R, Pray I, DeBolt M, Person A, Gabel J, Kittle TS, Hendren P, Rhea C, Holsinger C, Dunn J, Turabelidze G, Ahmed FS, deFijter S, Pedati CS, Rattay K, Smith EE, Luna-Pinto C, Cooley LA, Saydah S, Preacely ND, Maddox RA, Lundeen E, Goodwin B, Karpathy SE, Griffing S, Jenkins MM, Lowry G, Schwarz RD, Yoder J, Peacock G, Walke HT, Rose DA, and Honein MA
- Subjects
- Animals, COVID-19, Coronavirus Infections prevention & control, Humans, Meat, Occupational Diseases prevention & control, Pandemics prevention & control, Pneumonia, Viral prevention & control, Poultry, United States epidemiology, Coronavirus Infections epidemiology, Coronavirus Infections transmission, Disease Outbreaks prevention & control, Food-Processing Industry, Occupational Diseases epidemiology, Pneumonia, Viral epidemiology, Pneumonia, Viral transmission
- Abstract
Congregate work and residential locations are at increased risk for infectious disease transmission including respiratory illness outbreaks. SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is primarily spread person to person through respiratory droplets. Nationwide, the meat and poultry processing industry, an essential component of the U.S. food infrastructure, employs approximately 500,000 persons, many of whom work in proximity to other workers (1). Because of reports of initial cases of COVID-19, in some meat processing facilities, states were asked to provide aggregated data concerning the number of meat and poultry processing facilities affected by COVID-19 and the number of workers with COVID-19 in these facilities, including COVID-19-related deaths. Qualitative data gathered by CDC during on-site and remote assessments were analyzed and summarized. During April 9-27, aggregate data on COVID-19 cases among 115 meat or poultry processing facilities in 19 states were reported to CDC. Among these facilities, COVID-19 was diagnosed in 4,913 (approximately 3%) workers, and 20 COVID-19-related deaths were reported. Facility barriers to effective prevention and control of COVID-19 included difficulty distancing workers at least 6 feet (2 meters) from one another (2) and in implementing COVID-19-specific disinfection guidelines.* Among workers, socioeconomic challenges might contribute to working while feeling ill, particularly if there are management practices such as bonuses that incentivize attendance. Methods to decrease transmission within the facility include worker symptom screening programs, policies to discourage working while experiencing symptoms compatible with COVID-19, and social distancing by workers. Source control measures (e.g., the use of cloth face covers) as well as increased disinfection of high-touch surfaces are also important means of preventing SARS-CoV-2 exposure. Mitigation efforts to reduce transmission in the community should also be considered. Many of these measures might also reduce asymptomatic and presymptomatic transmission (3). Implementation of these public health strategies will help protect workers from COVID-19 in this industry and assist in preserving the critical meat and poultry production infrastructure (4)., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
- Published
- 2020
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37. Update: Interim Guidance for Health Care Providers Caring for Pregnant Women with Possible Zika Virus Exposure - United States (Including U.S. Territories), July 2017.
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Oduyebo T, Polen KD, Walke HT, Reagan-Steiner S, Lathrop E, Rabe IB, Kuhnert-Tallman WL, Martin SW, Walker AT, Gregory CJ, Ades EW, Carroll DS, Rivera M, Perez-Padilla J, Gould C, Nemhauser JB, Ben Beard C, Harcourt JL, Viens L, Johansson M, Ellington SR, Petersen E, Smith LA, Reichard J, Munoz-Jordan J, Beach MJ, Rose DA, Barzilay E, Noonan-Smith M, Jamieson DJ, Zaki SR, Petersen LR, Honein MA, and Meaney-Delman D
- Subjects
- Centers for Disease Control and Prevention, U.S., Female, Humans, Pregnancy, United States, Health Personnel, Practice Guidelines as Topic, Pregnancy Complications, Infectious prevention & control, Zika Virus Infection prevention & control
- Abstract
CDC has updated the interim guidance for U.S. health care providers caring for pregnant women with possible Zika virus exposure in response to 1) declining prevalence of Zika virus disease in the World Health Organization's Region of the Americas (Americas) and 2) emerging evidence indicating prolonged detection of Zika virus immunoglobulin M (IgM) antibodies. Zika virus cases were first reported in the Americas during 2015-2016; however, the incidence of Zika virus disease has since declined. As the prevalence of Zika virus disease declines, the likelihood of false-positive test results increases. In addition, emerging epidemiologic and laboratory data indicate that, as is the case with other flaviviruses, Zika virus IgM antibodies can persist beyond 12 weeks after infection. Therefore, IgM test results cannot always reliably distinguish between an infection that occurred during the current pregnancy and one that occurred before the current pregnancy, particularly for women with possible Zika virus exposure before the current pregnancy. These limitations should be considered when counseling pregnant women about the risks and benefits of testing for Zika virus infection during pregnancy. This updated guidance emphasizes a shared decision-making model for testing and screening pregnant women, one in which patients and providers work together to make decisions about testing and care plans based on patient preferences and values, clinical judgment, and a balanced assessment of risks and expected outcomes.
- Published
- 2017
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38. Fatal Burkholderia pseudomallei infection initially reported as a Bacillus species, Ohio, 2013.
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Doker TJ, Quinn CL, Salehi ED, Sherwood JJ, Benoit TJ, Glass Elrod M, Gee JE, Shadomy SV, Bower WA, Hoffmaster AR, Walke HT, Blaney DD, and DiOrio MS
- Subjects
- Adult, Bacillus isolation & purification, Bacteremia microbiology, Burkholderia pseudomallei genetics, Burkholderia pseudomallei immunology, Fatal Outcome, Hemagglutination Tests, Humans, Male, Melioidosis microbiology, Ohio, Antibodies, Bacterial immunology, Burkholderia pseudomallei isolation & purification, Melioidosis diagnosis
- Abstract
A fatal case of melioidosis was diagnosed in Ohio one month after culture results were initially reported as a Bacillus species. To identify a source of infection and assess risk in patient contacts, we abstracted patient charts; interviewed physicians and contacts; genetically characterized the isolate; performed a Burkholderia pseudomallei antibody indirect hemagglutination assay on household contacts and pets to assess seropositivity; and collected household plant, soil, liquid, and insect samples for culturing and real-time polymerase chain reaction testing. Family members and pets tested were seronegative for B. pseudomallei. Environmental samples were negative by real-time polymerase chain reaction and culture. Although the patient never traveled internationally, the isolate genotype was consistent with an isolate that originated in Southeast Asia. This investigation identified the fifth reported locally acquired non-laboratory melioidosis case in the contiguous United States. Physicians and laboratories should be aware of this potentially emerging disease and refer positive cultures to a Laboratory Response Network laboratory., (© The American Society of Tropical Medicine and Hygiene.)
- Published
- 2014
- Full Text
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