The Centers for Disease Control and Prevention (CDC) released an official health advisory after receiving reports of patients in New Mexico and Arizona who experienced serious adverse health effects after swallowing methanol-based hand sanitizer (MBHS). CDC and America’s Poison Centers conducted enhanced surveillance using the National Poison Data System (NPDS) for all calls to poison centers (PCs) that reported exposure to MBHS.

We queried NPDS for human exposure cases to MBHS between June 22, 2020 and September 14, 2020. We conducted descriptive statistics to analyze by daily case volume, age group, sex, caller site, management site, exposure route, medical outcome, reason for exposure, clinical effects, and treatment.

Forty-nine states, Washington, DC, and the US Virgin Islands reported at least 1 exposure, with a total of 2164 cases. Adults aged 20-59 represented the largest proportion of cases (44.8%). Most calls (94.2%) were from a non-health care facility and were managed on site (82.4%). The exposure route was primarily dermal (88.8%) followed by ingestion (12.0%).

Quick response and action for exposures to MBHS containing products is essential to ensure public health safety. PCs remain a valuable resource for providing guidance and advice for toxic exposures.

Evacuation can reduce morbidity and mortality by ensuring households are safely out of the path of, and ensuing impacts from, a disaster. Our goal was to characterize potential evacuation behaviors among a nationally representative sample.

We added 10 questions to the existing Porter Novelli’s (PN) ConsumerStyles surveys in Fall 2020, Spring 2021, and Fall 2021.We conducted a weighted analysis using SAS 9.4 to examine distributions and estimate associations of potential evacuation behaviors of each survey separately.

When asked about barriers to evacuation if public authorities announced a mandatory evacuation because of a large-scale disaster, ~7% reported nothing would prevent them from evacuating. Over half of respondents across the 3 surveys (51.1%-52.4%) had no preparedness plans, and almost two-thirds of respondents (63.7%-66.2%) did not have an emergency supply kit.

Knowing potential evacuation behaviors can help frame messages and provide a starting point for interventions to improve disaster preparedness and response. Overall, data show that there is much work to be done regarding evacuation behaviors and overall preparedness in the United States. These data can be used to tailor public messaging and work with partners to increase knowledge about evacuation.

On February 12, 2021, Winter Storm Uri hit the United States. To understand the disaster-related causes and circumstances of death, the Centers for Disease Control and Prevention (CDC) activated media mortality surveillance.

The team searched the internet daily for key terms related to Uri and compiled the information into a standardized media mortality surveillance database to conduct descriptive statistics.

Between February 12 and March 2, 2021, the accessed media reported 136 Uri-related deaths from nine states. Most decedents were male (39%) and adults (62.5%). Exposure to extreme temperatures (47.1%) was the most common cause of death. Among indirect deaths, motor vehicle collision (12.5%), and carbon monoxide poisoning (7.4%) represented the top two circumstances.

This was the first time CDC activated media mortality surveillance for a winter storm. Media mortality surveillance is useful in assessing the impact of a disaster and provides timely data for an all-hazards response approach.

Ideally, mosquito control programs (MCPs) use surveillance to target control measures to potentially dangerous mosquito populations. In North Carolina (NC), where there is limited financial support for mosquito control, communities may suffer from mosquito-related issues post-hurricane due to lack of existing MCPs. Here, study objectives were to (1) investigate the emergency response of a subset of NC counties post-Hurricane Florence and (2) develop guidelines and policy recommendations to assist MCPs in post-hurricane mosquito control response.

A survey was administered to a subset of eastern NC counties (an area previously impacted by hurricanes) with various levels of MCPs (from none to well-developed).

All respondents indicated that having Federal Emergency Management Agency (FEMA) training would be helpful in developing a post-hurricane emergency response plan for mosquito control. There was concern related to a lack of knowledge of emergency control methods (eg, aerial/ground, adulticiding/larviciding) post-hurricane. MCP structure (eg, infrastructure, resources, operational plans/policies) could facilitate response activities and help ensure necessary emergency financial support from agencies such as FEMA.

Mosquito control post-hurricane protects public health. Public health and other agencies can be networking resources for MCPs. Policy recommendations include implementation of routine FEMA assistance training workshops to improve an understanding of processes involved in assistance and reimbursement.

Researchers at the Centers for Disease Control and Prevention monitor unplanned school closure (USC) reports through online systematic searches (OSS) to assist public health emergency responses. We counted the additional reports identified through social media along with OSS to improve USC monitoring.

Facebook and Twitter data of public-school districts and private schools in counties affected by California wildfires in October and December of 2017 and January of 2018 were retrieved. We computed descriptive statistics and performed multivariable logistic regression for both OSS and social media data.

Among the 362 public-school districts in wildfire-affected counties, USCs were identified for 115 (32%) districts, of which OSS identified 104 (90%), Facebook, 59 (52%), and Twitter, 37 (32%). These data correspond to 4622 public schools, among which USCs were identified for 888 (19.2%) schools, of which OSS identified 722 (81.3%), Facebook, 496 (55.9%), and Twitter, 312 (35.1%). Among 1289 private schools, USCs were identified for 104 schools, of which OSS identified 47 (45.2%), Facebook, 67 (64.4%), and Twitter, 29 (27.9%). USC announcements identified via social media, in addition to those via OSS, were 11 public school districts, 166 public schools, and 57 private schools.

Social media complements OSS as additional resources for USC monitoring during disasters.

As of March 2020, governments throughout the world implemented business closures, work from home policies, and school closures due to exponential increase of coronavirus disease 2019 (COVID-19) cases, leaving only essential workers being able to work on site. For most of the children and adolescent school closures during the first lockdown had significant physical and psychosocial consequences. Here, we describe a comprehensive Return to School program based on a behavior safety protocol combined with the use of saliva-based reverse transcriptase-polymerase chain reaction (RT-PCR) pooled screening technique to keep schools opened.

The program had 2 phases: before school (safety and preparation protocols) and once at school (disease control program: saliva-based RT-PCR pooled screening protocol and contact tracing). Pooling: Aliquots of saliva from 24 individuals were pooled and 1 RT-PCR test was performed. If positive, the initial 24-pool was then retested (12 pools of 2). Individual RT-PCR tests from saliva samples from positive pools of 2 were performed to get an individual diagnosis.

From August 31 until December 20, 2020 (16-wk period) a total of 3 pools, and subsequent 3 individual diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease were reported (2 teachers and 1 staff).

Until COVID-19 vaccine can be administered broadly to all-age children, saliva-based RT-PCR pooling testing is the missing piece we were searching for to keep schools opened.

With the intention to try to contain the spread of the viral disease, several measures were taken in Argentina for long periods of time.

The lack of labor activity, social constraints, and a strong sense of helplessness, combined with a complex economic scenario with recession, inflation, and devaluation, led to the emergence of a dense climate of discontent.

After a second wave hit the country, several measures were reinstalled. The Argentine society, polarized in many aspects, was further divided between those who supported the re-establishment of strict measures to help prevent further infections and those who desperately claimed for the urgent need to return to work to sustain their livings.

The preexisting problems to which developing countries are usually exposed have been sharpened over the last year, determining a very complex scenario where every decision is important for the country’s future. An updated report of the current situation and its management in different countries is of vital importance regarding global health issues and may serve for feedback and decision-making.

Lack of mask use during large public events might spread COVID-19. It is now possible to measure this and similar public health information using publicly available webcams. We demonstrate a rapid assessment approach for measuring mask usage at a public event.

We monitored crowds at public areas in Sturgis, SD using a live, high-definition, town-sponsored video stream to analyze the prevalence of mask wearing. We developed a rapid coding procedure for mask wearing and analyzed brief (5 to 25 min) video segments to assess mask-wearing compliance in outdoor public areas. We calculated compliance estimates and compared reliability among the human coders.

We were able to observe and quantify public behavior on the public streets. This approach rapidly estimated public health information (e.g., 512 people observed over 25 minutes with 2.3% mask usage) available on the same day. Coders produced reliable estimates across a sample of videos for counting masked users and mask-wearing proportion. Our video data is stored in Databrary.org.

This approach has implications for disaster responses and public health. The approach is easy to use, can provide same day results, and can provide public health stakeholders with key information on public behavior.

In response to increasing caseloads of foodborne illnesses and high consequence infectious disease investigations, the Texas Department of State Health Services (DSHS) requested funding from the Texas Legislature in 2013 and 2015 for a new state-funded epidemiologist (SFE) program.

Primary cross-sectional survey data were collected from 32 of 40 local health departments (LHDs) via an online instrument and analyzed to quantify roles, responsibilities, and training of epidemiologists in Texas in 2017 and compared to similar state health department assessments.

Sixty-six percent of SFEs had epidemiology-specific training (eg, master’s in public health) compared to 45% in state health department estimates. For LHDs included in this study, the mean number of epidemiologists per 100 000 was 0.73 in medium LHDs and 0.46 in large LHDs. SFE positions make up approximately 40% of the LHD epidemiology workforce of all sizes and 56% of medium-sized LHD epidemiology staff in Texas specifically.

Through this program, DSHS increased epidemiology capacity almost twofold from 0.28 to 0.47 epidemiologists per 100 000 people. These findings suggest that capacity funding programs like this improve epidemiology capacity in local jurisdictions and should be considered in other regions to improve general public health preparedness and epidemiology capacity.

Previous research has identified a lack of clarification regarding paramedic professional obligation to work. Understanding community expectations of paramedics will provide some clarity around this issue. The objective of this research was to explore the expectations of a sample of Australian community members regarding the professional obligation of paramedics to respond during pandemics.

The authors used qualitative methods to gather Australian community member perspectives immediately before the onset of the coronavirus disease 2019 (COVID-19) pandemic. Focus groups were used for data collection, and a thematic analysis was conducted.

The findings revealed 9 key themes: context of obligation (normal operations versus crisis situation), hierarchy of obligation (individual versus organizational obligation), risk acceptability, acceptable occupational risk (it’s part of the job), access to personal protective equipment, legal and ethical guidelines, education and training, safety, and acceptable limitations to obligation. The factors identified as being acceptable limitations to professional obligation are presented as further sub-themes: physical health, mental health, and competing personal obligations.

The issue of professional obligation must be addressed by ambulance services as a matter of urgency, especially in light of the COVID-19 coronavirus pandemic. Further research is recommended to understand how community member expectations evolve during and after the COVID-19 coronavirus pandemic.

To aid emergency response, Centers for Disease Control and Prevention (CDC) researchers monitor unplanned school closures (USCs) by conducting online systematic searches (OSS) to identify relevant publicly available reports. We examined the added utility of analyzing Twitter data to improve USC monitoring.

Georgia public school data were obtained from the National Center for Education Statistics. We identified school and district Twitter accounts with 1 or more tweets ever posted (“active”), and their USC-related tweets in the 2015-16 and 2016-17 school years. CDC researchers provided OSS-identified USC reports. Descriptive statistics, univariate, and multivariable logistic regression were computed.

A majority (1,864/2,299) of Georgia public schools had, or were in a district with, active Twitter accounts in 2017. Among these schools, 638 were identified with USCs in 2015-16 (Twitter only, 222; OSS only, 2015; both, 201) and 981 in 2016-17 (Twitter only, 178; OSS only, 107; both, 696). The marginal benefit of adding Twitter as a data source was an increase in the number of schools identified with USCs by 53% (222/416) in 2015-16 and 22% (178/803) in 2016-17.

Policy-makers may wish to consider the potential value of incorporating Twitter into existing USC monitoring systems.