Future Response Research Articles

Perceptions of lived in experiences of healthcare workers during COVID-19 Pandemic in a tertiary Care hospital: A perspective from Pakistan.

This study aimed to explore the perceptions of frontline Healthcare Workers (HCWs) towards managing COVID-19 in Tertiary care hospital in Pakistan. This qualitative exploratory study was conducted from January to May 2021 at a Tertiary care hospital designated for COVID-19 patients in Rawalpindi Pakistan. Semi-structured in-depth interviews were conducted from twenty six HCWs. To acquire a sample that was diverse in terms of professional capacity, degree of experience and exposure, purposive sampling technique was used. After thematic analysis, themes were generated by identifying patterns among codes. Five themes emerged. All HCWs experienced significant amount of negative emotions including fear, uncertainty, imposing social distancing and workload. There were also positive experiences such as rewarding, call of duty and professional growth. HCWs experiences related to personal protective equipment (PPE) were communication issues, physical and dermatological issues, reuse and working confidently while wearing PPE. HCWs were buoyed by cooperation and facilitation, trainings and health education from administration. Coping mechanisms were used such as seeking team support, adjusting cognition to deal with reality and resorting to religion. Negative emotions predominated in the beginning and positive emotions emerged gradually. PPE and administrative support played significant role. HCWs' mental health was maintained in part by their self-coping styles. The findings of this study can be employed to inform and enhance future pandemic response initiatives.

Insights for enhancing resilience in prolonged crises: impact of COVID-19 pandemic on nurses’ quality of life

Aims and backgroundThe COVID-19 pandemic has had adverse effects on nurses, impacting them physically, mentally and psychosocially. These effects stem from heightened workloads, fears of contracting a life-threatening illness due...

Predicting plants in the wild: Mapping arctic and boreal plants with UAS-based visible and near infrared reflectance spectra

Biophysical changes in the Arctic and boreal zones drive shifts in vegetation, such as increasing shrub cover from warming soil or loss of living mat species due to fire. Understanding current and future responses to these factors requires mapping vegetation at a fine taxonomic resolution and landscape scale. Plants vary in size and spectral signatures, which hampers mapping of meaningful functional groups at coarse spatial resolution. Fine spatial grain of remotely sensed data (<10 cm pixels) is often necessary to resolve patches of many Arctic and boreal plant groups, such as bryophytes and lichens, which are significant components of terrestrial vegetation cover. Separation of co-occurring small vegetation patches in images also requires high spectral resolution. Our goal here was to test the capabilities of UAS-based imaging spectroscopy for mapping plant functional types (PFT) using high spatial and spectral resolution data over Arctic and boreal vegetation at four sites in central Alaska. We then tested several Machine and Deep learning models of PFT cover using the reflectance spectra. The best models were very simple, balancing both bias (overfitting caused by imbalance sample sizes) and variance (fit to the independent validation data), explaining > 50 % of the independent ground cover estimation and > 84 % accuracy in estimating validation pixels. We explored the impact of spectral resolution on PFT mapping by including vegetation indices and a gradient of narrow (5 nm) to wide (50 nm) band features in our classification models across. Vegetation indices were the most important predictors for classifying PFTs, while including band features improved models, with narrow and wide bandwidths having similar importance but models with wide bandwidths performing slightly better. We conclude that Arctic and boreal PFT reflectance can be pooled across sites for mapping with relatively few labeled pixels. Underfit, simple algorithms outperformed deep learning, at least with these small sample sizes, in classifying PFTs by balancing bias and variance. Future work should aim to increase the number of labeled pixels and the detail of labels to further improve mapping taxonomic precision.

An Estimation of Water Deficits considering the Hwanggang Dams on the Imjin River, North Korea

Water resources are essential for sustaining economic activities; therefore, water conflicts between nations and regions are common. The Imjin and Bukhan rivers, which are shared by South and North Korea, have been the sources of several disputes related to water usage and management between both nations. This study is intended to investigate such water deficits and provide elementary data for future responses by quantifying the water deficit in the Imjin River according to current water usage criteria. The researchers collected records on river water usage and flow rates in the Imjin River Basin from 2001 to 2023 and estimated the river maintenance flow. They analyzed eight runoff stations to assess the river maintenance flow and hydrological phenomena to determine the presence of a water deficit. Through a comparative analysis of the flow rates of the Imjin and Hantan rivers, using 2008 as the reference year, they determined the cause of the water deficit to be a North Korean dam. At the ten-year return-period drought, the total water deficit in the Imjin River Basin amounted to 114.5 million cubic meters, with 92.8% of the deficit occurring in the middle reaches of the Imjin River and the remaining 7.2% in the Hantan River.

Clinical health outcomes of Ebola virus disease survivors eight years post recovery: a cross-sectional study in Sierra Leone.

The West African Ebola virus disease (EVD) epidemic that occurred between 2013-2016 resulted in >28,000 confirmed cases and >11,000 fatalities. Thousands of survivors necessitate an understanding of the long-term health effects and future medical needs of these patients. A cross-sectional study of 595 EVD survivors from Sierra Leone and 403 close contacts (n=998). An in-person survey conducted between November 2021 and March 2022 included demographics, clinical health symptomology assessment of each organ system and a reproductive health assessment including sexual dysfunction question sets. The frequency of each disorder was examined and the association of each disorder with EVD survival was assessed. Of 12 number of symptom types, five were reported by >50% of EVD survivors (Ocular, Neurological, Constitutional, Genitourinary, Dermatological), and all but one were reported by >40% of EVD survivors. Symptom types associated with EVD survival included ENT symptoms (AOR: 8.75, 95% CI: 5.63 - 13.60, p < 0.001), ocular symptoms (AOR: 7.18, 95% CI: 5.02 - 10.25, p < 0.001), dermatological symptoms (AOR: 4.16, 95% CI: 3.06 - 5.65, p < 0.001) and cardiovascular symptoms (AOR: 2.96, 95% CI: 2.12 - 4.13, p < 0.001). The West Africa EVD epidemic resulted in a high prevalence of persistent health issues among disease survivors. Continued support for survivor services in West Africa is crucial, and future outbreak response planning should include dedicated funding to ensure adequate care for survivors, both during the acute phase of infection and throughout the post recovery period.

Evaluation of the Laboratory Response Network and Testing Access During the First 10 Weeks of the Mpox Response, United States, May 17-July 31, 2022.

The Laboratory Response Network (LRN) consists of US and international laboratories that respond to public health emergencies, such as biothreats. We used a qualitative approach to assess the successes and challenges of the LRN during the initial 10 weeks of the 2022 mpox outbreak (May 17-July 31, 2022). We conducted 9 unstructured interviews, which included 3 interviews with subject matter experts from the Centers for Disease Control and Prevention (CDC) and 6 interviews with state and local public health laboratories and epidemiologists and Association of Public Health Laboratories (APHL) staff. We asked guiding questions on investments in preparedness, successes, and challenges during the initial mpox response and asked for suggestions to improve future LRN responses to infectious disease outbreaks. We also reviewed data from 2 contemporaneous APHL surveys conducted in June and July 2022 in 84 LRN public health laboratories. Notable successes included availability of an assay that had received clearance from the US Food and Drug Administration (FDA) for testing orthopoxviruses (non-variola Orthopoxvirus [NVO] assay) and a trained workforce; strong relationships among FDA, CDC, and the LRN; and strong communications between LRN laboratories and CDC. Challenges included variability among LRN laboratories in self-reported testing capacity, barriers to accessing the NVO assay for health care providers, and gaps in LRN function during surges of testing needs. The LRN system plays an essential role in the response to emerging infectious disease outbreaks in the United States. Lessons learned from the LRN's initial response to the mpox outbreak can help guide improvements to better position the LRN for future responses, including continued engagement with health care providers, commercial laboratories, and laboratories in health care settings.

Fire drives major Holocene vegetation shifts between subtropical and Mediterranean‐type ecosystems: a case study from a biodiversity hotspot in South Africa

Fire plays a pivotal role in driving ecological shifts between Mediterranean‐type vegetation and subtropical ecosystems in South Africa. This study investigates long‐term environmental dynamics and ecological regime changes at the Mediterranean‐type vegetation /subtropical boundary using a 6000‐year palaeoecological sequence from the Baviaanskloof – a region of South Africa characterized by high levels of biodiversity and climate dynamism. Combining fossil pollen and microcharcoal data from a rock hyrax Procavia capensis midden, we analyse vegetation responses to environmental changes. Our findings reveal that Mediterranean‐type vegetation resilience prevailed until ca 2800 cal year BP when a major fire event triggered a transition to a subtropical thicket‐dominated environment. This abrupt ecological turnover underscores the significance of fire as a major driver of vegetation change at the Mediterranean‐type vegetation /subtropical boundary. Our study emphasizes the vulnerability of Mediterranean‐type vegetation ecosystems to global environmental change, suggesting potential implications for similar biome boundaries worldwide. By integrating multi‐proxy palaeoecological evidence, we gain insights into the resilience and vulnerability of these ecosystems, aiding in understanding future responses to climate change scenarios.

Navigating dual hazards: Managing hurricane evacuation and sheltering operations Amidst COVID-19

Hurricane Laura made landfall in August of 2020 as a Category 4 storm, heavily affecting the coastlines of Texas and Louisiana. At the same time, both areas were coping with a surge in COVID-19 cases absent a vaccine. For this study, we explored how emergency management stakeholders navigated evacuation, sheltering, and re-entry planning and operations during a dual hazard threat where hurricane risk reduction measures contradicted COVID-19 risk reduction measures. We conducted 35 semi-structured interviews with emergency management stakeholders in Texas and Louisiana in the spring of 2021. Participants were recruited using a purposive sampling strategy designed to identify agency representatives and other officials involved with planning for hurricane season and with the Hurricane Laura response effort. We used thematic analysis to code and analyze the data. Findings suggest that while the process for planning for hurricanes had to shift to an online approach, the plan for addressing hurricane season was largely unchanged from the perspective of most participants until days before impact, when the decision was made to move to noncongregate sheltering. This led to adaptive and creative improvisation on the part of participants managing the evacuation and sheltering operations. Likewise, we found that caring for and communicating with evacuees in a noncongregate setting presented unanticipated challenges that required improvisation to address. Given the continued threat posed by COVID-19 and other respiratory illnesses, this study provides insights that emergency management stakeholders could apply to current and future planning and response efforts for hazards that require evacuation and sheltering.

First Nationwide Mpox Vaccination Program in the Republic of Korea: Implications for an Enhanced Public Health Response.

On May 1, 2024, the Republic of Korea lifted the infectious disease crisis alert for mpox, almost two years after the first case was reported. The Korea Disease Control and Prevention Agency (KDCA) has led the response, which included diagnosis, epidemiological investigations, treatment, and vaccination. This article particularly reviews the vaccination strategy implemented and proposes suggestions for enhancing future response efforts. Initially, the KDCA recommended pre-exposure prophylaxis for high-risk groups, later expanding to include broader demographics as domestic cases rose. By April 2024, a total of 6,863 individuals had received their first vaccine dose, with 3,875 completing the second dose of third-generation vaccines. Strategies to improve future responses include addressing stigma, securing nationally representative safety data, and conducting vaccine cost-benefit analyses. These measures will help ensure a robust and effective response to future outbreaks.

Measuring the frequency and determinants of COVID-19 prevention behaviours: a cross-sectional assessment of large-scale programmes in seven countries, late 2020

ObjectivesThis multicountry analysis aimed to assess the prevalence of key hygiene prevention behaviours and their determinants, associated with international non-governmental organisation (WaterAid) hygiene behaviour change programmes for COVID-19 prevention. The...

Multi-scenario prediction and attribution analysis of carbon storage of ecological system in the Huaihe River Basin, China.

Evaluating the impact of large-scale human activities on carbon storage through land use changes is of growing interest in terrestrial ecosystem assessments. The Huaihe River Basin, a vital Chinese grain production area, has undergone marked land use changes amid socio-economic acceleration. Evaluating the impacts of land use change on carbon storage and future carbon sequestration is imperative for regional ecosystem sustainability and Chinese food security, simultaneously, furnishing data support to regional land use planning and decision-making processes. Nonetheless, the mechanisms linking land use changes to carbon storage and the future carbon reservoir responses remain unclear. We utilized a multi-source dataset and representative scenarios, integrating PLUS, InVEST models, and Geodetector to assess land use change impacts on carbon storage in the Huaihe River Basin (2000-2030). The data indicates the following: (1) from 2000 to 2020, cultivated land decreased by 28,344.69 km2, construction land increased by 26,914.56 km2, and other land types changed little. (2) Land use change resulted a carbon loss of 1.17 × 108 t, primarily due to the expansion of construction land. (3) All four simulation scenarios exhibited diminished carbon storage relative to 2020, with the economic development scenario recording the lowest at 4.98 × 109 t and the ecological protection scenario the highest at 5.06 × 109 t. (4) Elevation predominantly drives carbon storage changes, with its interaction with NPP having the greatest impact. The factors synergistically enhance their explanatory power. The research provides a scientific basis for strategies aimed at augmenting regional carbon sequestration and refining low-carbon land management, safeguarding ecosystem stability.

Application of integrated entropy-COPRAS and ANN approaches for maximizing wire EDM machinability attributes of Al6082-T6/GNP/TiB2 composites

Wire Electrical Discharge Machining (WEDM) utilizes electrical sparks to cut conductive materials precisely. It employs a thin, electrically charged wire to erode the material, creating complex shapes with high accuracy, tight tolerance, and minimal material waste. The current study investigates the effect of WEDM process parameters on the various output properties of machining a hybrid Aluminium metal matrix nanocomposite (HAMMNC). A series of experiments were conducted on a composite constructed using Taguchi’s standard L18 Orthogonal Array (OA) design. The acquired responses of Material-Removal-Rate (MRR), Surface-Roughness (SR), and Kerf-Width (KfW) were optimized using integrated Entropy-COPRAS and artificial neural network (ANN) algorithms respectively. The relative significance ( Qi )values obtained for the alternatives are analyzed with the Taguchi method. The outcomes showed that the optimal setting of WEDM process variables is achieved at Servo Voltage: high volts; Pulse-on-time: 60 μs; Pulse-off-time: 16 μs; Peak Current: 6 Amp; Variable frequency: 18 Hz; Speed: 50 RPM; Sim Speed: 30 RPM respectively. The models developed from ANN were adequate and accurate from the results of error histogram and regression plots and they are best suited for the prophecy of future responses. The surface morphology studies confirmed the appearance of pockmarks, voids, and globules of debris on the Wire EDMed surfaces.

Youth mental health care use during the COVID-19 pandemic in Alberta, Canada: an interrupted time series, population-based study

BackgroundDuring the COVID-19 pandemic, youth had rising mental health needs and changes in service accessibility. Our study investigated changes in use of mental health care services for Canadian youth in Alberta before and during the COVID-19 pandemic. We also investigated how youth utilization patterns differed for subgroups based on social factors (i.e., age, gender, socioeconomic status, and geography) previously associated with health care access.MethodsWe used cross-sectional population-based data from Alberta, Canada to understand youth (15–24 year) mental health care use from 2018/19 to 2021/22. We performed interrupted time series design, segmented regression modeling on type of mental health care use (i.e., general physician, psychiatrist, emergency room, and hospitalization) and diagnosis-related use. We also investigated the characteristics of youth who utilized mental health care services and stratified diagnosis-related use patterns by youth subgroups.ResultsThe proportion of youth using mental health care significantly increased from 15.6% in 2018/19 to 18.8% in 2021/22. Mental health care use showed an immediate drop in April 2020 when the COVID-19 pandemic was declared and public health protections were instituted, followed by a steady rise during the next 2 years. An increase was significant for general physician and psychiatrist visits. Most individual diagnoses included in this study showed significant increasing trends during the pandemic (i.e., anxiety, adjustment, ADHD, schizophrenia, and self-harm), with substance use showing an overall decrease. Mortality rates greatly increased for youth being seen for mental health reasons from 71 per 100,000 youth in 2018/19 to 163 per 100,000 in 2021/22. In addition, there were clear shifts over time in the characteristics of youth using mental health care services. Specifically, there was increased utilization for women/girls compared to men/boys and for youth from wealthier neighborhoods. Increases over time in the utilization of services for self-harm were limited to younger youth (15–16 year).ConclusionsThe study provides evidence of shifts in mental health care use during the COVID-19 pandemic. Findings can be used to plan for ongoing mental health needs of youth, future pandemic responses, and other public health emergencies.

Pakistan's national COVID-19 response: lessons from an emergent response to the pandemic.

In 2020, Pakistan faced the formidable challenge of the COVID-19 pandemic with an existing yet disjointed healthcare infrastructure, that included by over 18,000 public and an estimated 75,000 private health facilities and some elements of an epidemic surveillance and response system. This descriptive study examines how Pakistan developed a COVID-19 response, driven by establishing a central coordination and decision-making mechanism to overcome these systemic challenges. The study is based on interviews and interactions of the many actors in the response by the authors, who also participated in nearly all proceedings of the National Command and Operation Centre (NCOC) and many of the National Coordination Committee (NCC). This information is supplemented by reviewing documents, reports, news items, media and social media, and journal articles. The study highlights the critical role of political arrangement, where the NCC, comprising of ministers, bureaucrats, and military personnel, facilitated federal and provincial integration. The NCC found resources and set policy. Its direction was implemented by the NCOC, a top-down yet inclusive platform, integrated political, military, and civil society actors, to ensure cohesive decision-making and implementation. It provided technical guidance, harnessed data for strategic decisions and held implementers accountable. At its peak, the NCOC boasted nearly 300 personnel, including high-ranking military officers, a stark contrast to the limited staffing in most ministries. In addition, the response's success is attributed to the perception of COVID-19 as an existential threat, leading to unprecedented collaboration and decisive actions that were enforced authoritatively. Pakistan's experience offers valuable insights for proactive management of health emergencies in resource-limited settings. It underscores the necessity for inter-sectoral dialog and data-driven policy implementation, especially in the context of political economies where activity-driven governance often overshadows objective-driven policy execution. However, the lessons from the COVID-19 response, including a blueprint for future epidemic responses and lessons for use of data and evidence in developing country health systems, if not institutionalized, risk being lost in the post-pandemic era.

Climatic variation allows montane willows to escape an adaptive trade-off.

Adaptive responses to climate change, based on heritable variation in stress tolerance, may be important for plant population persistence. It is unclear which populations will mount the strongest future adaptive responses. It may be fruitful to identify populations that have escaped trade-offs among performance traits, which can hinder adaptation. Barring strong genetic constraints, the extent of trade-offs may depend on spatial relationships among climate variables shaping different traits. Here, we test for climate-driven ecotypic variation and trade-offs among drought and freezing sensitivity, and growth, for Lemmon's willow (Salix lemmonii) in a common garden study of 90 genotypes from 38 sites in the Sierra Nevada, USA. Salix lemmonii exhibits ecotypic variation in leaf turgor loss point, a measure of drought sensitivity, from -0.95 to -0.74 MPa along a gradient of spring snowpack. We also find variation in spring freezing sensitivity with minimum May temperature. However, we find no trade-off, as the climatic gradients shaping these traits are spatially uncorrelated in our study region, despite being negatively correlated across the Sierra Nevada. Species may escape adaptive trade-offs in geographic regions where climate variables are spatially decoupled. These regions may represent valuable reservoirs of heritable adaptive phenotypic variation.

Motivators and Barriers to COVID-19 Vaccination Intentions Across U.S. County-Level Barriers in the COVID-19 Vaccine Coverage Index.

County-level barriers (sociodemographic barriers, limited healthcare system resources, healthcare accessibility barriers, irregular healthcare seeking behaviors, low vaccination history) may impact individuals' reasons for receiving the COVID-19 vaccine. This study linked data from REACH-US (Race-Related Experiences Associated with COVID-19 and Health in the United States), a nationally representative, online survey of 5475 adults living in the U.S (January-March 2021) to county-level barriers in the COVID-19 Vaccine Coverage Index. County-level vaccination barriers were measured using the COVID-19 Vaccine Coverage Index. Participants reported why they would or would not receive the COVID-19 vaccine in an open-ended item and their responses were coded using thematic analysis. Descriptive statistics and chi-square tests assessed whether reasons for COVID-19 vaccination intentions varied by county-level barriers and whether these distributions varied across racial/ethnic groups. Thematic analysis revealed twelve themes in participants' reasons why they would or would not receive the COVID-19 vaccine. Themes of societal responsibility (9.8% versus 7.7%), desire to return to normal (8.1% versus 4.7%), and trust in science/healthcare/government (7.7% versus 5.1%) were more frequently reported in counties with low/medium barriers (versus high/very high) (p-values < 0.05). Concerns of COVID-19 vaccine side effects/safety/development (25.3% versus 27.9%) and concerns of access/costs/availability/convenience (1.9% versus 3.6%) were less frequently reported in counties with low/medium barriers (versushigh/very high) (p-values < 0.05). Trends in the prevalence of these themes varied across racial/ethnic groups (p-values < 0.05). Future pandemic responses should consider potential ways county-level barriers shape reasons for COVID-19 vaccination.

Mapping the dynamics of epigenetic adaptation in S. pombe during heterochromatin misregulation

Epigenetic mechanisms enable cells to develop novel adaptive phenotypes without altering their genetic blueprint. Recent studies show histone modifications, such as heterochromatin-defining H3K9 methylation (H3K9me), can be redistributed to establish adaptive phenotypes. We developed a precision-engineered genetic approach to trigger heterochromatin misregulation on-demand in fission yeast. This enabled us to trace genome-scale RNA and H3K9me changes over time in long-term, continuous cultures. Adaptive H3K9me establishes over remarkably slow timescales relative to the initiating stress. We captured dynamic H3K9me redistribution events which depend on an RNA binding complex MTREC, ultimately leading to cells converging on an optimal adaptive solution. Upon stress removal, cells relax to new transcriptional and chromatin states, establishing memory that is tunable and primed for future adaptive epigenetic responses. Collectively, we identify the slow kinetics of epigenetic adaptation that allow cells to discover and heritably encode novel adaptive solutions, with implications for drug resistance and response to infection.

Public health use and lessons learned from a statewide SARS-CoV-2 wastewater monitoring program (MiNET)

The global SARS-CoV-2 monitoring effort has been extensive, resulting in many states and countries establishing wastewater-based epidemiology programs to address the spread of the virus during the pandemic. Challenges for programs include concurrently optimizing methods, training new laboratories, and implementing successful surveillance programs that can rapidly translate results for public health, and policy making. Surveillance in Michigan early in the pandemic in 2020 highlights the importance of quality-controlled data and explores correlations with wastewater and clinical case data aggregated at the state level. The lessons learned and potential measures to improve public utilization of results are discussed.The Michigan Network for Environmental Health and Technology (MiNET) established a network of laboratories that partnered with local health departments, universities, wastewater treatment plants (WWTPs) and other stakeholders to monitor SARS-CoV-2 in wastewater at 214 sites in Michigan. MiNET consisted of nineteen laboratories, twenty-nine local health departments, 6 Native American tribes, and 60 WWTPs monitoring sites representing 45 % of Michigan's population from April 6 and December 29, 2020. Three result datasets were created based on quality control criteria. Wastewater results that met all quality assurance criteria (Dataset Mp) produced strongest correlations with reported clinical cases at 16 days lag (rho = 0.866, p < 0.05).The project demonstrated the ability to successfully track SARS-CoV-2 on a large, state-wide scale, particularly data that met the outlined quality criteria and provided an early warning of increasing COVID-19 cases. MiNET is currently poised to leverage its competency to complement public health surveillance networks through environmental monitoring for new and emerging pathogens of concern and provides a valuable resource to state and federal agencies to support future responses.

Ocean circulation response to rapid climate change

In recent years, the trend of global warming has been significant, with changes occurring in the atmosphere, oceans, wind fields, and other areas due to climate change. To predict the future response of ocean circulation to climate change under the influence of global warming trends, this work is based on the response of ocean circulation to ancient climate change. Through research and analysis of three factors, including The Atlantic Meridional Overturning Circulation(AMOC) index, salinity and temperature, combined with various data and chart analysis, the response mechanism of ocean circulation to climate change is explored. Explore the possibility of ocean circulation responding to future climate change. At the same time, fully analyze the advantages and disadvantages of this study to prepare for further research.

Diagnostic testing preferences can help inform future public health response efforts: Global insights from an international survey.

Public perception regarding diagnostic sample types as well as personal experiences can influence willingness to test. As such, public preferences for specific sample type(s) should be used to inform diagnostic and surveillance testing programs to improve public health response efforts. To understand where preferences lie, we conducted an international survey regarding the sample types used for SARS-CoV-2 tests. A Qualtrics survey regarding SARS-CoV-2 testing preferences was distributed via social media and email. The survey collected preferences regarding sample methods and key demographic data. Python was used to analyze survey responses. From March 30th to June 15th, 2022, 2,094 responses were collected from 125 countries. Participants were 55% female and predominantly aged 25-34 years (27%). Education and employment were skewed: 51% had graduate degrees, 26% had bachelor's degrees, 27% were scientists/researchers, and 29% were healthcare workers. By rank sum analysis, the most preferred sample type globally was the oral swab, followed by saliva, with parents/guardians preferring saliva-based testing for children. Respondents indicated a higher degree of trust in PCR testing (84%) vs. rapid antigen testing (36%). Preferences for self- or healthcare worker-collected sampling varied across regions. This international survey identified a preference for oral swabs and saliva when testing for SARS-CoV-2. Notably, respondents indicated that if they could be assured that all sample types performed equally, then saliva was preferred. Overall, survey responses reflected the region-specific testing experiences during the COVID-19. Public preferences should be considered when designing future response efforts to increase utilization, with oral sample types (either swabs or saliva) providing a practical option for large-scale, accessible diagnostic testing.