scholarly journals Local Decision Making for Implementing Social Distancing in Response to Outbreaks

2019 ◽  
Vol 134 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Rebecca Katz ◽  
Andrea Vaught ◽  
Samuel J. Simmens

Objectives: Social distancing is the practice of restricting contact among persons to prevent the spread of infection. This study sought to (1) identify key features of preparedness and the primary concerns of local public health officials in deciding to implement social distancing measures and (2) determine whether any particular factor could explain the widespread variation among health departments in responses to past outbreaks. Methods: We conducted an online survey of health departments in the United States in 2015 to understand factors influencing health departments’ decision making when choosing whether to implement social distancing measures. We paired survey results with data on area population demographic characteristics and analyzed them with a focus on broad trends. Results: Of 600 health departments contacted, 150 (25%) responded. Of these 150 health departments, 63 (42%) indicated that they had implemented social distancing in the past 10 years. Only 10 (7%) health departments had a line-item budget for isolation or quarantine. The most common concern about social distancing was public health impact (n = 62, 41%). Concerns about law, politics, finances, vulnerable populations, and sociocultural issues were each identified by 7% to 10% of health departments. We were unable to clearly predict which factors would influence these decisions. Conclusions: Variations in the decision to implement social distancing are likely the result of differences in organizational authority and resources and in the primary concerns about implementing social distancing. Research and current social distancing guidelines for health departments should address these factors.

2016 ◽  
Vol 11 (3) ◽  
pp. 337-342 ◽  
Author(s):  
Rebecca Katz ◽  
Andrea Vaught

AbstractObjectivesWe sought to better understand the tools used by public health officials in the control of tuberculosis (TB).MethodsWe conducted a series of in-depth interviews with public health officials at the local, state, and federal levels to better understand how health departments around the country use isolation measures to control TB.ResultsState and local public health officials’ use of social distancing tools in infection control varies widely, particularly in response to handling noncompliant patients. Judicial and community support, in addition to financial resources, impacted the incentives and enablers used to maintain isolation of infectious TB patients.ConclusionsInstituting social distancing requires authorities and resources and can be impacted by evidentiary standards, risk assessments, political will, and community support. Awareness of these factors, as well as knowledge of state and local uses of social distancing measures, is essential to understanding what actions are most likely to be instituted during a public health emergency and to target interventions to better prepare health departments to utilize the best available tools necessary to control the spread of disease. (Disaster Med Public Health Preparedness. 2017;11:337–342)


2019 ◽  
Vol 2 (1) ◽  
pp. 97-119 ◽  
Author(s):  
Elizabeth Avery

As Zika emerged as a major global health threat, public information officers (PIOs) at local public health departments across the United States prepared for outbreaks of the virus amid great uncertainty. Using the crisis and risk emergency communication (CERC) model to inform this study, PIOs (n = 226) at public health departments were surveyed to assess how community size, perceived control over health agenda, and other considerations such as resources and federal influences affected their satisfaction with Zika preparedness in their departments. These contextual, indirect factors may moderate planning efforts for Zika and other health emergencies and thus should be considered in crisis management and planning models such as CERC.


Author(s):  
Julie M. Carter ◽  
Patricia D. Koman ◽  
Lorraine Cameron ◽  
Aaron Ferguson ◽  
Patrick Jacuzzo ◽  
...  

AbstractClimate change affects Michigan’s public health in several primary ways, including increased incidences of vector-borne, waterborne, heat-related, and respiratory illness. Because local health departments (LHDs) play a central role in surveillance and preventative health services, they are among the first institutions to contend with the local impacts of climate change. To assess current perceptions among Michigan public health officials, an online survey was conducted in partnership with the Michigan Association for Local Public Health (MALPH). Most of the Michigan respondents (62%, n = 34) agreed that their jurisdictions have experienced climate change in the last 20 years, and 77% agreed that climate change will impact their jurisdictions in the coming 20 years. However, only 35% (n = 34) of Michigan officials agreed that climate change is a priority in their departments. About one quarter (25%, n = 34) of Michigan LHD respondents did not know about the level of expertise of either the state and federal agencies, responsible for assisting them with information and programs related to climate change and health. Uncertainty regarding the resources available to them may hinder LHDs from developing necessary preparedness, so meeting this need could bolster the public health response to climate change.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margaret M. Padek ◽  
Stephanie Mazzucca ◽  
Peg Allen ◽  
Emily Rodriguez Weno ◽  
Edward Tsai ◽  
...  

Abstract Background Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones. Methods A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman’s correlation and multinomial logistic regression were used to assess factors in mis-implementation. Results Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40). Conclusion The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.


2021 ◽  
pp. 104063872110030
Author(s):  
Craig N. Carter ◽  
Jacqueline L. Smith

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.


2014 ◽  
Vol 10 (7) ◽  
pp. 2032-2038
Author(s):  
Derek Weycker ◽  
Mark Andrew Atwood ◽  
Baudouin Standaert ◽  
Girishanthy Krishnarajah

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