On alert for Ebola: public health risk assessment of travellers from Uganda to the USA during the 2022 outbreak.

BACKGROUND: On 20 September 2022, the Ugandan Ministry of Health declared an outbreak of Ebola disease caused by Sudan ebolavirus. METHODS: From 6 October 2022 to 10 January 2023, Centers for Disease Control and Prevention (CDC) staff conducted public health assessments at five US ports of entry for travellers identified as having been in Uganda in the past 21 days. CDC also recommended that state, local and territorial health departments ('health departments') conduct post-arrival monitoring of these travellers. CDC provided traveller contact information, daily to 58 health departments, and collected health department data regarding monitoring outcomes. RESULTS: Among 11 583 travellers screened, 132 (1%) required additional assessment due to potential exposures or symptoms of concern. Fifty-three (91%) health departments reported receiving traveller data from CDC for 10 114 (87%) travellers, of whom 8499 (84%) were contacted for monitoring, 1547 (15%) could not be contacted and 68 (1%) had no reported outcomes. No travellers with high-risk exposures or Ebola disease were identified. CONCLUSION: Entry risk assessment and post-arrival monitoring of travellers are resource-intensive activities that had low demonstrated yield during this and previous outbreaks. The efficiency of future responses could be improved by incorporating an assessment of risk of importation of disease, accounting for individual travellers' potential for exposure, and expanded use of methods that reduce burden to federal agencies, health departments, and travellers.

Demographic and travel characteristics and self-reported predeparture SARS-CoV-2 testing behavior in air passengers entering the United States from foreign destinations from July to September 2021.

INTRODUCTION: From January 2021 to June 2022, the United States Centers for Disease Control and Prevention required predeparture SARS-CoV-2 testing for all air passengers arriving into the United States from a foreign country. METHODS: Using data collected during a surveillance project, we described predeparture testing behavior among a convenience sample of international air passengers entering the United States from July to September 2021 at six US ports of entry. We analyzed pairwise relationships between self-reported test type, test timing, demographic and travel characteristics, and COVID-19 vaccination status using chi-square and Fisher's exact tests. RESULTS: Participants were more likely to get a NAAT versus antigen test if they identified as non-Hispanic Asian or Pacific Islander (68.2%, n = 173), non-Hispanic Black (62.6%, n = 147), or if they preferred not to report race and ethnicity (60.8%, n = 209) when compared to those who identified as non-Hispanic White (47.1%, n = 1086, all p < 0.05). Those who identified as Hispanic or Latino (n = 671) were less likely to get a NAAT than the non-Hispanic White group (39.5% vs. 47.1%, p < 0.05). Participants arriving in the US from the Americas were less likely to get a NAAT (38.5%, n = 871) compared to those arriving from Europe (45.5%, n = 1165, p < 0.05). Participants who reported receiving their predeparture test 2 days or 3 or more days before departure were more likely to report receiving a NAAT (52.2%, n = 879, and 60.2%, n = 410, respectively) than those who reported testing within 1 day (41.4%, n = 1040, all p < 0.001) of departure. DISCUSSION: Test type was significantly associated with race and ethnicity, departure region, and test timing. Differences likely reflected regional disparities in the availability of tests at the time of the activity. Discrepancies in predeparture test timing and type worldwide may have consequences for the effectiveness and equity of travel requirements in future pandemics.

Discrimination and Bias in State Triage Protocols Toward Populations With Intellectual Disabilities During the COVID-19 Pandemic.

Individuals with intellectual disabilities face discrimination on a daily basis. The coronavirus disease (COVID-19) pandemic has highlighted the systemic ableism that is embedded within American culture, particularly through health care bias and discrimination. In turn, this creates further marginalization during diagnosis, triage, and treatment of the novel coronavirus. Multiple states have filed complaints against state triage protocols that suggest an abled life is more worthy than a life with a disability. Although many of these protocols have been updated and replaced, generalized triage statements fail to address health care bias that is embedded within the American system. In addition to the existing solutions, proposed solutions to addressing health care bias include integrating social workers into the emergency management process and the overall disaster management field. To combat bias and ableism across the health care system, a social justice perspective that highlights discrimination, inequalities, and inequities in overall individual care must be adopted.

Utilizing Social Media for Information Dispersal during Local Disasters: The Communication Hub Framework for Local Emergency Management.

In today's society, the use of social media has increased the public's desire to receive information quickly and to be able to interact with communicators. During a disaster, the trend to turn to social media for information has risen in popularity. Society's reliance on social media and quick access to information has led the field of emergency management and the role of a Public Information Officer to adapt to include social media as a crisis communication channel for information dispersal. Existing frameworks for the use of social media as a channel for crisis communications provide guidance for emergency management agencies across all levels of government but fail to account for the varying access to communication resources at the local level. Due to the differing access to communication resources and unique relationships with stakeholders at the local level, there is a need for guidance on how local emergency management agencies can use social media to disperse essential information. The proposed Communication Hub Framework utilizes local emergency management professionals' relationships with key community stakeholders to aid in the distribution of essential information to community members via social media during a disaster.