Geospatial Distribution of Local Health Department Tweets and Online Searches About Ebola During the 2014 Ebola Outbreak

2017 ◽  
Vol 12 (3) ◽  
pp. 287-290 ◽  
Author(s):  
Roger Wong ◽  
Jenine K. Harris

AbstractObjectiveThis study compared the geospatial distribution of Ebola tweets from local health departments (LHDs) to online searches about Ebola across the United States during the 2014 Ebola outbreak.MethodsBetween September and November 2014, we collected all tweets sent by 287 LHDs known to be using Twitter. Coordinates for each Ebola tweet were imported into ArcGIS 10.2.2 to display the distribution of tweets. Online searches with the search term “Ebola” were obtained from Google Trends. A Pearson’s correlation test was performed to assess the relationship between online search activity and per capita number of LHD Ebola tweets by state.ResultsEbola tweets from LHDs were concentrated in cities across the northeast states, including Philadelphia and New York City. In contrast, states with the highest online search queries for Ebola were primarily in the south, particularly Oklahoma and Texas. A weak, negative, non-significant correlation (r=−0.03, P=0.83, 95% CI: −0.30, 0.25) was observed between online search activity and per capita number of LHD Ebola tweets by state.ConclusionsWe recommend that LHDs consider using social media to communicate possible disease outbreaks in a timely manner, and that they consider using online search data to tailor their messages to align with the public health interests of their constituents. (Disaster Med Public Health Preparedness. 2018; 12: 287–290)

2018 ◽  
Vol 12 (5) ◽  
pp. 635-643 ◽  
Author(s):  
Joie D. Acosta ◽  
Lane Burgette ◽  
Anita Chandra ◽  
David P. Eisenman ◽  
Ingrid Gonzalez ◽  
...  

AbstractObjectiveTo summarize ways that networks of community-based organizations (CBO), in partnership with public health departments, contribute to community recovery from disaster.MethodsThe study was conducted using an online survey administered one and 2 years after Hurricane Sandy to the partnership networks of 369 CBO and the New York Department of Health and Mental Hygiene. The survey assessed the structure and durability of networks, how they were influenced by storm damage, and whether more connected networks were associated with better recovery outcomes.ResultsDuring response and recovery, CBOs provide an array of critical public health services often outside their usual scope. New CBO partnerships were formed to support recovery, particularly in severely impacted areas. CBOs that were more connected to other CBOs and were part of a long-term recovery committee reported greater impacts on the community; however, a partnership with the local health department was not associated with recovery impacts.ConclusionCBO partners are flexible in their scope of services, and CBO partnerships often emerge in areas with the greatest storm damage, and subsequently the greatest community needs. National policies will advance if they account for the dynamic and emergent nature of these partnerships and their contributions, and clarify the role of government partners. (Disaster Med Public Health Preparedness. 2018;12:635–643)


2017 ◽  
Vol 12 (1) ◽  
pp. 38-46
Author(s):  
Nargesalsadat Dorratoltaj ◽  
Margaret L. O’Dell ◽  
Paige Bordwine ◽  
Thomas M. Kerkering ◽  
Kerry J. Redican ◽  
...  

AbstractObjectiveWe evaluated the effectiveness and cost of a fungal meningitis outbreak response in the New River Valley of Virginia during 2012-2013 from the perspective of the local public health department and clinical facilities. The fungal meningitis outbreak affected 23 states in the United States with 751 cases and 64 deaths in 20 states; there were 56 cases and 5 deaths in Virginia.MethodsWe conducted a partial economic evaluation of the fungal meningitis outbreak response in New River Valley. We collected costs associated with the local health department and clinical facilities in the outbreak response and estimated the epidemiological effectiveness by using disability-adjusted life years (DALYs) averted.ResultsWe estimated the epidemiological effectiveness of this outbreak response to be 153 DALYs averted among the patients, and the costs incurred by the local health department and clinical facilities to be $30,413 and $39,580, respectively.ConclusionsWe estimated the incremental cost-effectiveness ratio of $198 per DALY averted and $258 per DALY averted from the local health department and clinical perspectives, respectively, thereby assisting in impact evaluation of the outbreak response by the local health department and clinical facilities. (Disaster Med Public Health Preparedness. 2018;12:38–46)


Author(s):  
Kathleen Goegel

Abstract The anti-vaccination trend is growing in the United States and with this trend comes risk. Although there are a limited number of people who cannot receive vaccinations for medical reasons, many people who choose not to vaccinate their children use a vaccination exemption to ensure their child(ren) are able to attend school. I will be focusing on the risk associated with school-aged children who are not vaccinated. This risk is primarily focused on public health and biosecurity, which deals specifically with the national health issues and possible bioterrorism threats originating in schools. This risk is only enhanced by the fact that exemptions differ from state to state, and states have broad exemptions. In my analysis of the anti-vaccination trend with school-age children and the risk associated with it, I will be looking at the case of M.A. et al v. Rockland County Health Department out of the Southern District Court of New York and connecting the facts of that case to the countrywide risk. M.A. et al. v. Rockland Cty. Dep’t of Health, No. 7:19-cv-02066 (S.D.N.Y Mar. 06, 2019). My analysis will begin by looking at the specifics of that case and the constitutional implications that came along with it. I will then use that case and the outbreak in Rockland County to present the possible biosecurity and public health implications that come with children not being vaccinated. Finally, I will present my recommendation on vaccination exemptions as it pertains to limiting these implications in the future.


2010 ◽  
Vol 4 (4) ◽  
pp. 300-305
Author(s):  
June Beckman-Moore ◽  
Millicent Eidson ◽  
Lindsay Ruland

ABSTRACTObjective: Because most bioterrorist disease agents are zoonotic, veterinarians are important partners in preparedness. New York State is a prime port of entry and has a network of health and emergency management agencies for response. However, knowledge and participation by veterinarians has not yet been assessed.Methods: A 25-question survey was mailed out to approximately half (1832) of the veterinarians licensed in New York State. Participants were asked about past emergency preparedness training, likelihood of participating in future training, preferred training topics, and their relationship with their local health department (LHD).Results: Completed questionnaires were received from 529 veterinarians (29%). Most (83%) reported that they were likely to participate in emergency preparedness training, but in the past 2 years, only 14% received training in zoonotic disease outbreaks and 12% in emergency preparedness. Only 21% reported having a relationship with their LHD, but 48% were interested in having one. Lack of time was the biggest obstacle to involvement with the LHD (40%). Most (69%) of those responding to the survey said they would participate in training once per year or more often.Conclusions: Inducements, such as earning continuing education credits, or the development of active networks of preparedness organizations, state and local health departments, and veterinary schools are needed to deliver emergency preparedness training and information efficiently to veterinarians.(Disaster Med Public Health Preparedness. 2010;4:300-305)


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Emily Glidden ◽  
Laurel Boyd ◽  
Jay Schauben ◽  
Prakash R. Mulay ◽  
Royal Law

ObjectiveTo discuss the use of poison center (PC) data for public health (PH) surveillance at the local, state, and federal levels. To generate meaningful discussion on how to facilitate greater PC and PH collaboration.IntroductionSince 2008, poisoning is the leading cause of injury-related death in the United States; since 1980, the poisoning-related fatality rate in the United States (U.S.) has almost tripled1. Many poison-related injuries and deaths are reported to regional PCs which receive about 2.4 million reports of human chemical and poison exposures annually2. Federal, state, and local PH agencies often collaborate with PCs and use PC data for PH surveillance to identify poisoning-related health issues. Many state and local PH agencies have partnerships with regional PCs for direct access to local PC data which help them perform this function. At the national level, the National Center for Environmental Health (NCEH) of the Centers for Disease Control and Prevention (CDC) conducts PH surveillance for exposures and illnesses of PH significance using the National Poison Data System (NPDS), the national PC reporting database and real-time surveillance system.Though most PC and PH officials agree that PC data play an important role in PH practice and surveillance, collaboration between PH agencies and PCs can be hindered by numerous challenges. To address these challenges and bolster collaboration, the PC and PH Collaborations Community of Practice (CoP) has collaborated with members to provide educational webinars; newsletters highlighting the intersection of PH and PC work; and in-person meetings at relevant national and international conferences. The CoP includes over 200 members from state and local PH departments, regional PCs, CDC, the American Association of Poison Control Centers (AAPCC), and the U.S. Environmental Protection Agency (EPA).DescriptionThe panel will consist of 3 presenters and 1 moderator, who are members of the CoP. Each presenter will bring a unique perspective on the use of PC data for PH practice and surveillance. Dr. Prakash Mulay is the surveillance coordinator for chemical related illnesses and injuries in Florida. His primary focus is on carbon monoxide, pesticide, mercury, and arsenic poisoning. He also works as a liaison between the Florida Poison Information Centers and Department of Health. Dr. Mulay has a Medical Degree from India and a Masters of Public Health (MPH) in epidemiology from Florida International University, Miami. For the purpose of the panel discussion, Dr. Mulay will provide PC PH collaboration from the state perspective.Dr. Jay Schauben is the Director of the Florida/United States Virgin Islands Poison Information Center in Jacksonville, the Florida Poison Information Center Network Data Center, and the Clinical Toxicology Fellowship Program at University of Florida Health-Jacksonville Medical Center/University of Florida Health Science Center. He is board-certified in clinical toxicology and is a Fellow of the American Academy of Clinical Toxicology. In 1992, Dr. Schauben implemented the Florida Poison Information Center in Jacksonville and played a major role in crafting the Statewide Florida Poison Information Center Network. On the panel, Dr. Schauben will provide collaboration insight from the PC perspective.Dr. Royal Law is the surveillance and technical lead for the National Chemical and Radiological Surveillance Program, housed within the Health Studies Branch at the CDC. He received his PhD in Public Health from Georgia State University and his MPH at Emory University. Dr. Law will provide insight from the national level including CDC use of PC data for public health surveillance activities.How The Moderator Intends to Engage the AudienceAfter the panel members have been introduced and shared their contributions and experiences with PC PH collaboration the moderator will engage the audience by facilitating discussion of the successes and challenges to using PC data for PH practice and surveillance.Sample questions:What are your current capacities and collaborative activities between your state/local health department and your PC?What non-funding related barriers hinder the collaboration between your state/local health department and PC?If no increase in funding were available, how would you increase the level of interactivity with the PC and state/local health department? What if funding was available?References1Warner M, Chen LH, Makuc DM, Anderson RN, and Minino AM. Drug Poisoning Deaths in the United States, 1980–2008. National Center for Health Statistics Data Brief, December 2011. Accessed 8/29/2012.2Mowry JB, Spyker DA, Brooks DE, Zimmerman A, Schauben JL (2016) 2015 Annual Report of the American Association of Poison Control Centers’ National Poison Data Systems (NPDS): 33rd Annual Report, Clinical Toxicology, 54:10, 924-1109.  


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
B E Dixon ◽  
T D McFarlane ◽  
S J Grannis ◽  
P J Gibson

Abstract In 2017, the Association of State and Territorial Health Officials fielded the Public Health Workforce Interests and Needs Survey (PH WINS), a nationally representative sample of state-level (SHA) and local health department (LHD) public health workers in the United States. The survey was an opportunity to measure the PHI workforce as well as assess the informatics needs of the broader PH workforce. We performed a cross-sectional study using the nationally representative 2017 PH WINS. A total of 17,136 SHA and 26,533 LHD employees participated in the survey. Respondents were asked to rate selected PH competencies with respect to the importance to their day-to-day work (i.e., not important to very important) and their current skill level (e.g., unable to perform, beginner, proficient, expert). We examined skill gaps, defined as discordance between self-reported importance (i.e., need) and skill level, for example, those reporting the competency as “somewhat important” or “very important” and “unable to perform” or “beginner.” Informaticians accounted for 1.1% of SHA respondents and 0.5% of LHD respondents working in a Big City Health Coalition agency, those that serve the top 30 most populous urban areas in the United States. While informaticians generally reported having the skills they needed for their jobs, other PH roles identified gaps. For example, 22.9% of clinical and laboratory workers felt the ability to “identify appropriate sources of data and information to assess the health of a community” was an important skill but they currently possessed low competency. This group similarly identified a gap with respect to collecting ‘valid data for use in decision making.' An informatics-savvy health department requires PHI competencies not just among PHI specialists but also among front line workers, program area managers, and executive leadership. Discordance suggests that agencies should examine ways to enhance training for PHI-related competencies for all PH workers. Key messages The informatics specialists’ role is rare in public health agencies. Significant data and informatics skills gaps persist among the broader public health workforce.


PEDIATRICS ◽  
1950 ◽  
Vol 6 (3) ◽  
pp. 506-507

This book offers practicing physicians a brief summary of the past accomplishments and future prospects of public health as seen by a group of outstanding practitioners in various fields which contribute to this specialty. It begins with an excellent discussion of "Genetics and the Public Health" which presents the need of all physicians who act as advisers to family groups for information on this subject. Other notable contributions are found in the chapters on "Realities in Preventive Psychiatry" and "Trends in Development of State and Local Health Service in the United States."


2020 ◽  
Author(s):  
Yasmin Khajenoori ◽  
Lina Kamil ◽  
Joyita Bhattacharjee ◽  
Ellie Feng ◽  
Sanvi Pal

In response to the spread of COVID-19 in the United States, every state has utilized varying degrees of public health policies yielding different trends in the number of cases. Due to the lack of a unified approach taken in response to the global pandemic in the United States, we can look at the general trends in case numbers from different states in the context of the public health measures that have been implemented. Through the use of multiple databases, we collected data from each states health department websites and policy data came from the COVID-19 US State Policy Database on the CDR, as well as the KFF state policy database in order to graph the number of daily new cases in three different states while marking the dates when the certain policies were implemented. The scope of this particular review focuses on California, New York, and Texas, each of which have taken different approaches and are reflective of three different areas of the continental United States. The four policies that are analyzed include shelter in place orders, mask mandates, the closure and reopening of non-essential businesses, and the closure and reopening of restaurants for in person dining. To further understand the reopening strategies of these three states, we have utilized the “National Coronavirus Response: A Roadmap to Reopening” guide to compare the points at which each state decided to open considering testing capacity, contact tracing, and case numbers/trend in cases at that point in time. Based on this data, we comparatively analyzed trends in cases and policy measures, taking into account other factors like tracing and testing capacity to evaluate the appropriateness of each state’s measures in its overall goal of reopening. Overall, we have found New York which began as the hotspot for COVID-19 cases, to ultimately be the most successful state in regard to reducing the number of daily new cases and surpassing goals for contact tracing and testing. Conversely California, which began as a success story, has seen a sharp rise in cases after moving into phases of reopening. Similarly, Texas has also seen a rise in cases over recent months with the relaxation of public health measures before meeting the markers for reopening. Both California and Texas have been far behind on testing and contact tracing capabilities. Not only abiding by public health policy recommendations but also being consistent with these measures throughout the course of the pandemic are correlated with lower numbers of cases when comparing New York with California and Texas. This finding implies that for future pandemics, and moving forward with the current pandemic, extreme caution should be taken in timing public health measures and tracking cases.


2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.


2017 ◽  
Vol 4 (1) ◽  
pp. 16
Author(s):  
William Milczarski ◽  
Peter Tuckel ◽  
Richard Maisel

Purpose: To provide an updated and comparative analysis of injury-related falls from bicycles, skateboards, roller skates and non-motorized scooters.Methods: The study uses two national databases – the Nationwide Emergency Department Sample and the Nationwide Inpatient Sample  – and subnational databases for New York, California, and Maryland.  Univariate and multivariate analyses (negative binomial regression) are performed to identify effects of age, gender, racial-ethnic background, and region on the incidence of injury-related falls from each of the four devices.Results: The rate of injuries due to falls from bicycles far surpasses the rates due to falls from the other devices.  When a measure of “exposure” is taken into consideration, however, the rate of injuries from skateboards outstrips the rates from bicycles or roller skates.  The profile of patients who are injured from falls from each of the four devices is distinctive.  Asian-Americans are greatly underrepresented among those who suffer a fall-related injury from any of the four devices.  The incidence of injuries attributable to falls varies considerably by geographic region.Conclusions: Public health officials need to be mindful that while certain activities such as scootering might be gaining in popularity, the number of injuries sustained from bicycles still dwarfs the number attributable to falls from skateboards, roller skates, and scooters combined.  Thus special attention needs to be paid to both prevent falls from bicycles and specific treatment modalities.  It is important for public health officials to gather injury data at the local level to allocate prevention and treatment resources more efficiently.


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