Changes in familial discussions among East Asian American families during the COVID-19 pandemic

Objective: We examined the degrees of change in familial discussions about racial issues (i.e., race, ethnicity, racism, and discrimination) due to the surge of anti-Asian discrimination during the COVID-19 pandemic.Background: Asian American family racial-ethnic socialization that teaches the values, information, and perspectives about racial-ethnic group membership and race relations carry great implications for youth development. However, little is known about how anti-Asian sentiments may have contributed to the degrees of change in racial issues.Method: The participants included 143 second-generation East Asian American youth (e.g., Chinese, Korean, Japanese, and Taiwanese) ages 11-18 years (M = 14.96, SD = 1.98). Youth were attending middle (38%) or high (62%) schools in the United States.Results: Latent profile analysis identified four profiles of degrees of change in familial discussions: (a) moderate change in racial discussions about other ethnicities, (b) much change in racial discussions, (c) moderate change in racial discussions about own ethnicities, and (d) little change in racial discussions.Conclusion: Our findings provide a snapshot of the ways East Asian American families' racial discussions are changing, which in turn shape youth's experiences in navigating their social contexts.Implications: The findings provide valuable directions for research and interventions to promote important racial discussion among East Asian American families.

A Simple Statistical Model for Forecasting COVID-19 Infections with Application to South and Southeast Asian Countries

Nowadays, countries worldwide have been facing crises due to the epidemic of coronavirus disease 2019 (COVID-19). This study aimed to construct a model for forecasting COVID-19 infected cases and deaths using the natural cubic spline function. The data used in this study were obtained from publicly available databases updated daily and located on GitHub run by Microsoft. The model fits the data remarkably well, with r-squared values of 0.997, 0.981, 0.992, 0.975, 0.995, 0.957, 0.973, 0.939, 0.989, 0.881, 0.943, and 0.610 in India, Pakistan, Bangladesh, Indonesia, Singapore, Nepal, Australia, Malaysia, Thailand, Sri Lanka, and Vietnam, respectively. The model generates daily change forecasts that indicate when intervention is required. Furthermore, this model is routinely applied to all such regions globally and can be extended to accommodate additional predictors such as environmental and demographic variables.

Improving Short-Term QPF Using Geostationary Satellite All-Sky Infrared Radiances: Real-Time Ensemble Data Assimilation and Forecast during the PRECIP 2020 and 2021 Experiments

The Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP) aims to improve our understanding of extreme rainfall processes in the East Asian summer monsoon. A convection-permitting ensemble-based data assimilation and forecast system (the PSU WRF-EnKF system) was run in real time in the summers of 2020–21 in advance of the 2022 field campaign, assimilating all-sky infrared (IR) radiances from the geostationary Himawari-8 and GOES-16 satellites, and providing 48-h ensemble forecasts every day for weather briefings and discussions. This is the first time that all-sky IR data assimilation has been performed in a real-time forecast system at a convection-permitting resolution for several seasons. Compared with retrospective forecasts that exclude all-sky IR radiances, rainfall predictions are statistically significantly improved out to at least 4–6 h for the real-time forecasts, which is comparable to the time scale of improvements gained from assimilating observations from the dense ground-based Doppler weather radars. The assimilation of all-sky IR radiances also reduced the forecast errors of large-scale environments and helped to maintain a more reasonable ensemble spread compared with the counterpart experiments that did not assimilate all-sky IR radiances. The results indicate strong potential for improving routine short-term quantitative precipitation forecasts using these high-spatiotemporal-resolution satellite observations in the future.Significance StatementDuring the summers of 2020/21, the PSU WRF-EnKF data assimilation and forecast system was run in real time in advance of the 2022 Prediction of Rainfall Extremes Campaign In the Pacific (PRECIP), assimilating all-sky (clear-sky and cloudy) infrared radiances from geostationary satellites into a numerical weather prediction model and providing ensemble forecasts. This study presents the first-of-its-kind systematic evaluation of the impacts of assimilating all-sky infrared radiances on short-term qualitative precipitation forecasts using multiyear, multiregion, real-time ensemble forecasts. Results suggest that rainfall forecasts are improved out to at least 4–6 h with the assimilation of all-sky infrared radiances, comparable to the influence of assimilating radar observations, with benefits in forecasting large-scale environments and representing atmospheric uncertainties as well.

COVID-19 racism, internalized racism, and psychological outcomes among East Asians/East Asian Americans

The present study investigated the psychological effects of racism on East Asians and East Asian Americans (EAEAAs) living in the United States during the COVID-19 pandemic using a mixed-methods approach. First, using an autoregressive cross-lagged panel analysis, we investigated the relations between COVID-19 racism, internalized racism, psychological distress, and social isolation among EAEAAs. We then examined the impact of the COVID-19 pandemic on EAEAAs using consensual qualitative research-modified. Quantitative findings showed that COVID-19 racism at Time 1 was associated with greater subsequent psychological distress, and COVID-19 racism at Time 2 was associated with greater levels of subsequent psychological distress and social isolation at Time 3, suggesting that COVID-19 racism predicted psychological distress and social isolation over time. Qualitative findings highlighted the prevalence of racism towards EAEAAs and the associated negative consequences. Findings demonstrate that EAEAAs living in the United States are at great risk due to the detrimental effects of racism during COVID-19. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Impact of Disruptive Technologies on Customer Experience Management In ASEAN: A Review

The financial services sector in the Association of South East Asian Nations (ASEAN) region has seen significant growth, driven by digitalization and the rise of fintech firms. Financial services accounted for about 8% of the overall Gross Domestic Product (GDP) at around 3 Trillion in 2021 [1]. While the GDP contracted slightly due to the COVID-19 pandemic, the overall outlook over the next five years remains positive.To further boost this growth, and foster innovation, regulators across ASEAN are establishing foundations for open finance, as is clear from policies in Singapore [2], the Philippines [3], and Indonesia [4].The main objectives of the open finance framework are to offer integrated financial services by making customer experiences that are fully digital, frictionless, empathetic, and anticipatory to customer needs.Customers today are more digitally empowered, expect personalized service, and often maintain relationships with multiple retail banks. As such, Customer Experience (CX) management is a top priority for retail banks to ensure overall brand recall, customer loyalty, and growth.This however also poses a new challenge to incumbent banks, as they need to embark on complex digital transformation journeys to stay relevant and competitive with due consideration for costs and accrued benefits.In this context, this study explores the impact of cloud, Artificial Intelligence (AI), and digital channels, collectively referred to as disruptive technologies, on customer experience management.It does so by critically examining existing literature on the evolution of digital technologies, their applications for customer engagement and the consequent impact on customer behaviours, and customer experience measures such as the Customer Satisfaction Score (CSAT) and Net Promoter Score (NPS). Based on the review, the study identifies opportunities for future research in the form of research questions, which include factors like experience quality, behaviour traits, and customer segmentation attributes that impact customer experience.The study contributes by providing insights to retail banks on key factors to consider while embarking on digital transformation projects to improve customer experience. While the study focuses on retail banking, its contributions could be beneficial to adjacent financial services like lending and insurance in ASEAN. © 2022 IEEE.

Near-real-time estimation of fossil fuel CO2 emissions from China based on atmospheric observations on Hateruma and Yonaguni Islands, Japan.

We developed a near-real-time estimation method for temporal changes in fossil fuel CO2 (FFCO2) emissions from China for 3 months [January, February, March (JFM)] based on atmospheric CO2 and CH4 observations on Hateruma Island (HAT, 24.06° N, 123.81° E) and Yonaguni Island (YON, 24.47° N, 123.01° E), Japan. These two remote islands are in the downwind region of continental East Asia during winter because of the East Asian monsoon. Previous studies have revealed that monthly averages of synoptic-scale variability ratios of atmospheric CO2 and CH4 (ΔCO2/ΔCH4) observed at HAT and YON in JFM are sensitive to changes in continental emissions. From the analysis based on an atmospheric transport model with all components of CO2 and CH4 fluxes, we found that the ΔCO2/ΔCH4 ratio was linearly related to the FFCO2/CH4 emission ratio in China because calculating the variability ratio canceled out the transport influences. Using the simulated linear relationship, we converted the observed ΔCO2/ΔCH4 ratios into FFCO2/CH4 emission ratios in China. The change rates of the emission ratios for 2020-2022 were calculated relative to those for the preceding 9-year period (2011-2019), during which relatively stable ΔCO2/ΔCH4 ratios were observed. These changes in the emission ratios can be read as FFCO2 emission changes under the assumption of no interannual variations in CH4 emissions and biospheric CO2 fluxes for JFM. The resulting average changes in the FFCO2 emissions in January, February, and March 2020 were 17 ± 8%, - 36 ± 7%, and - 12 ± 8%, respectively, (- 10 ± 9% for JFM overall) relative to 2011-2019. These results were generally consistent with previous estimates. The emission changes for January, February, and March were 18 ± 8%, - 2 ± 10%, and 29 ± 12%, respectively, in 2021 (15 ± 10% for JFM overall) and 20 ± 9%, - 3 ± 10%, and - 10 ± 9%, respectively, in 2022 (2 ± 9% for JFM overall). These results suggest that the FFCO2 emissions from China rebounded to the normal level or set a new high record in early 2021 after a reduction during the COVID-19 lockdown. In addition, the estimated reduction in March 2022 might be attributed to the influence of a new wave of COVID-19 infections in Shanghai. Supplementary Information: The online version contains supplementary material available at 10.1186/s40645-023-00542-6.

East Asian Population.

This article explores the ways East Asian American (EAA) children and adolescents have experienced disparities in the United States throughout the COVID-19 pandemic. The history of racism toward Asian American and Pacific Islanders (AAPI) and the complexities of acculturation are reflected through this contemporary lens. Traditional East Asian (EA) values were disrupted during this period. Implications for children and families are discussed. Persistent underlying xenophobia and racism, such as the model minority myth or perpetual foreigner stereotype, rose to new prominence, furthering emotional distress in EA and EAA youths beyond those already experienced universally by AAPI families during the pandemic.

East Asian summer monsoon enhanced by COVID-19.

Anthropogenic emissions decreased dramatically during the COVID-19 pandemic, but its possible effect on monsoon is unclear. Based on coupled models participating in the COVID Model Intercomparison Project (COVID-MIP), we show modeling evidence that the East Asian summer monsoon (EASM) is enhanced by 2.2% in terms of precipitation and by 5.4% in terms of the southerly wind at lower troposphere, and the amplitude of the forced response reaches about 1/3 of the standard deviation for interannual variability. The enhanced EASM during COVID-19 pandemic is a fast response to reduced aerosols, which is confirmed by the simulated response to the removal of all anthropogenic aerosols. The observational evidence, i.e., the anomalously strong EASM observed in 2020 and 2021, also supports the simulated enhancement of EASM. The essential mechanism for the enhanced EASM in response to COVID-19 is the enhanced zonal thermal contrast between Asian continent and the western North Pacific in the troposphere, due to the reduced aerosol concentration over Asian continent and the associated latent heating feedback. As the enhancement of EASM is a fast response to the reduction in aerosols, the effect of COVID-19 on EASM dampens soon after the rebound of emissions based on the models participating in COVID-MIP. Supplementary Information: The online version contains supplementary material available at 10.1007/s00382-022-06247-8.

Use of Information and Communication Technologies to Enhance Self-Acupressure: a Literature Review.

Currently, acupressure is widely accepted as a non-pharmacological therapy for managing pain, nausea and vomiting, and mental health conditions. Since acupressure can be self-administered, clinicians and researchers' interest in information and communication technologies (ICTs) for disseminating acupressure to manage symptoms has increased. This mini review was conducted to examine clinical studies of acupressure using ICTs, with a particular focus on self-acupressure. Through a search of MEDLINE, EMBASE, and CENTRAL, all studies of self-acupressure using ICTs published before December 31, 2021 were collected. Twelve studies met the inclusion criteria. More than half of the studies published since 2020 (4/7, 54.14%) were described as being related to COVID-19. As target conditions, musculoskeletal injuries or pain, cancer-related symptoms, dysmenorrhea, mental health issues, and obesity were considered. The most frequently used acupoints were LI4, LR3, and Shenmen. Moreover, smartphone applications were the most commonly used ICT method to support self-acupressure. In addition to the basic information of self-acupressure, other tools such as timers, reminders, and schedule checkers to facilitate its implementations have been incorporated into the smartphone applications. Recently, there have been some attempts to combine acupressure and ICTs. Although these studies mainly focus on musculoskeletal pain or injuries, recent studies related to mental health have emerged in relation to COVID-19. However, few studies have been conducted to date, making it difficult to fully grasp the trends in this field. Therefore, more studies are needed to evaluate the feasibility and efficacy of combining self-acupressure and ICTs in more diverse clinical areas.

Pandemic and prejudice: Results from a national survey experiment

Do health and economic shocks exacerbate prejudice towards racial/ethnic minority groups? We investigate this question in the wake of the COVID-19 pandemic by collecting nationally representative survey data with an embedded experiment. Results show that priming COVID-19 salience has an immediate impact: compared to the control group, respondents in the treatment group reported increased prejudice towards East Asian and Hispanic colleagues. East Asians in the treatment group faced higher prejudicial responses from Americans living in counties with higher COVID-19 infections and those who lost jobs due to COVID-19, and fewer prejudicial responses in counties with a higher concentration of Asians. These results point to the salience of COVID-19 fueled health and economic insecurities in shaping prejudicial attitudes, specifically towards East Asians. County-level socioeconomic factors did not moderate the increased prejudicial attitudes toward Hispanics in the workplace. These findings highlight a dimension of prejudice, intensified during the pandemic, which has been largely underreported and therefore missing from the current discourse on this important topic. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

AT THE HEART OF THE MATTER: DISCRIMINATION, ACCULTURATION AND CARDIOVASCULAR REACTIVITY TO PSYCHOSOCIAL STRESS

Marginalized ethnic groups commonly experience discrimination, and these experiences are increasingly linked to adverse health outcomes. Research indicates that the psychosocial stress of discrimination is negatively associated with cardiovascular health. We report a study of the role of U.S. acculturation in this link via an examination of the relation of discrimination with cardiovascular responses to a psychosocial evaluative stressor in a sample of Latino, East Asian, and European American young adults and explored the role of U.S. acculturation and ethnicity in that association. Participants (n = 158, Mage = 20.49, 58% Females, 53.8% Latinos, 14.6% European Americans, 12.7% East Asians) from a larger study on stress reactivity self-reported on experiences of discrimination, U.S. acculturation (rating scale, nativity) and ethnicity. We obtained measures of heart rate variability (HRV), as indexed by root mean-squared successive differences (RMSSD) and high-frequency HRV (HFHRV). Relevant to this study, participants engaged in a 3-minute standing baseline, and then took part in the 5-minute speech task of the Trier Social Stress Test (TSST). Results indicated that discrimination, parental nativity, and quadratic time interacted to influence the RMSSD trajectory during the TSST. Specifically, those reporting higher levels of discrimination and had at least one U.S. born parent exhibited a decrease in RMSSD (? = 0.18, RSE = 0.08, z = 2.30, p = .021, 95%CI [0.03, 0.33]). We also found that during the TSST, East Asians surprisingly exhibited significantly lower HFHRV, as compared with European Americans (? = -233.78, RSE = 86.93, z = -2.69, p = 0.007, 95%CI [-404.17, -63.40]), while Latinos were not significantly different from European Americans in HFHRV (? = -15.00, RSE = 92.99, z = -0.16, p = .872, 95%CI [-197.26, 167.26]). Furthermore, higher discrimination was associated with lower HFHRV (? = -12.68, RSE = 4.20, z = -3.02, p = 0.003, 95%CI [-20.92, -4.45]). Taken together, these findings suggest that perceiving higher levels of discrimination can play a role in the ability to physiologically regulate during stress, and that U.S. acculturation may also contribute. It also suggests the importance of considering ethnicity, as the cardiovascular health of those of various marginalized ethnic groups may be differentially affected. Paper Session 34 - Current state of the art of COVID-19 research Saturday 15:45-16:45.

The role of angiotensin-converting enzyme 2 (ACE2) genetic variations in COVID-19 infection: a literature review

Background: The angiotensin-converting enzyme-2 (ACE2) is recognized to be the fundamental receptor of severe acute respiratory syndrome coronavirus-2 (SARS-CoV2), responsible for the worldwide Coronavirus Disease-2019 (COVID-19) epidemic. However, genetic differences between people besides racial considerations and their relation to disease susceptibility are still not fully elucidated. Main body: To uncover the role of ACE2 in COVID-19 infection, we reviewed the published studies that explore the association of COVID-19 with the functional characteristics of ACE2 and its genetic variations. Notably, emerging studies tried to determine whether the ACE2 variants and/or expression could be associated with SARS-CoV/SARS-CoV2 have conflicting results. Some researchers investigated the potential of “population-specific” ACE2 genetic variations to impact the SARS-CoV2 vulnerability and suggested no ethnicity enrichment for ACE2 polymorphisms that could influence SARS-CoV2 S-protein binding. At the same time, some studies use data mining to predict several ACE2 variants that could enhance or decline susceptibility to SARS-CoV. On the other hand, fewer studies revealed an association of ACE2 expression with COVID-19 outcome reporting higher expression levels of ACE2 in East Asians. Conclusions: ACE2 gene variants and expression may modify the deleterious consequences of SARS-CoV2 to the host cells. It is worth noting that apart from the differences in gene expression and the genetic variations of ACE2, many other environmental and/or genetic factors could modify the disease outcome, including the genes for the innate and the adaptive immune response.

Racism and the mental health of East Asian diasporas in North America: a scoping review.

BACKGROUND: The COVID-19 pandemic heightened anti-Asian racism towards East Asian diasporas in North America. Experiences of racism encountered by East Asian communities have been documented to negatively impact their mental health. METHODS: A scoping review was undertaken following Arksey and O'Malley's (2005) methodology to (a) map the foci of literature on racism and the mental health of East Asian diasporas in North America and (b) identify gaps in the current literature. RESULTS: A total of 1309 articles were identified in May 2021. Based on the inclusion criteria, 35 records were included. Two distinct mental health foci were found: mental health outcomes and mental healthcare access and utilization. The majority (n = 22) of the articles focused on racism at the interpersonal level. Six articles provided anti-racism solutions at the individual level, such as overcoming biases. Five articles targeted anti-racism solutions from both the individual and institutional levels, while 1 article addressed barriers at the institutional level, such as dismantling sanctioned power hierarchies. CONCLUSION: The expanding knowledge base on COVID-19-related racial discrimination is reminiscent of previous literature examining the history of anti-Asian racism in North America. Greater attention is needed to navigate impactful anti-racism solutions for East Asian populations' mental health in North America.

The Reemergence of Yellow Peril: Beliefs in the Asian Health Hazard Stereotype Predict Lower Psychological Well-Being

What is the public significance of this article? Racist rhetoric toward East and Southeast Asian Americans and Canadians during COVID-19 tends to center on three themes-unclean food practices, eating any kind of animal, and spreading diseases-that form an "Asian health hazard" stereotype. For East and Southeast Asians in Canada and the U.S., believing that their group is being perceived as "health hazards" is associated with lower psychological well-being. The anti-Asian sentiment in Canada and the U.S during the coronavirus disease (COVID-19) pandemic centers on perceptions of East and Southeast Asians as "health hazards", due to their alleged animal-eating habits, uncleanliness, and tendency to spread diseases. In a preregistered study, we demonstrated that for East and Southeast Asians in Canada and the U.S., their belief that society holds the Asian health hazard stereotype was associated with higher distress and lower life satisfaction. No differences were observed between East and Southeast Asian Americans (n = 352) and Canadians (n = 351), as well as Chinese and non-Chinese participants. Importantly, these effects were robust to pandemic- and discrimination-related stressors. We also demonstrated that Asian health hazard and perpetual foreigner stereotypes were psychometrically distinct. Overall, our findings highlight how perceptions of negative societal views, particularly those reminiscent of the Yellow Peril narrative, are uniquely associated with psychological well-being among East and Southeast Asian Americans and Canadians.

A Real-Time Human Mobility Visualization of Covid-19 Spread from East Asian Countries

Human mobility using different modes of transportation is constantly increasing. The culture of posting activities while travelling has gained attention on social networks immensely. The evolution of social networking platforms has resulted in an engaging user base multiplying across the globe. The combination of data and information created by these online platforms is massive in terms of the volume and variety of topics. The real-time existence of user-produced information has inspired researchers to analyze material to obtain real-time insight into current affairs. The focus is on collecting tweets of real-time travelling activities for the first 100 days of Covid-19 keeping Chinese Airports as the source. This paper illustrates the multidimensional visualization of real-time covid-19 spread from China neighbouring East Asian countries to the rest of the world. The visualization tools used are python folium, matplotlib networks/graphx, Carto, Tableau, Google Data Studio, and MS Excel. © 2021 IEEE.

Health Inequities Among East and South Asian Gamblers During COVID-19: Key Risk Factors and Comorbidities.

Online gambling during COVID-19 has been associated with a variety of risk factors and comorbidities, such as co-occurring substance use, mental health problems, and financial concerns and gambling motives. Far less is known about these impacts on ethno-cultural populations, including East and South Asian gamblers. The present study has attempted to explore the health inequities related to these comorbidities and risk factors among East and South Asian gamblers. A cross-sectional online survey of gamblers in Ontario, Canada, was carried out in August 2020-a time when most land-based gambling venues were not operating at full capacity. Descriptive statistical analyses, odds ratios, and negative binomial regression (NBR) were used to compare East and South Asian gamblers to other online gamblers in Ontario. The total survey sample of 2,012 gamblers included sub-samples of East Asian (n = 206) and South Asian gamblers (n = 107). Compared to other gamblers in Ontario, East and South Asians reported higher likelihood of severe gambling problems, risky financially focused gambling motives, gambling under the influence of alcohol, and elevated levels of mental health problems. An adjusted NBR analysis noted that East Asians were more highly involved in online gambling during the pandemic, compared to non-East Asian gamblers. This study has presented an array of factors representing potential health inequities among East and South Asian gamblers during the pandemic. These findings merit further investigation and replication in order to inform the development of appropriate support resources.

The negative impact of the hominin's DPP4 gene inherited from neanderthals to pandemic of COVID-19

Background: According to preliminary sequences from 2010, 99.7% of the nucleotide sequences of the modern human and Neanderthal genomes are identical, compared to humans sharing around 98.8% of sequences with the chimpanzee. In contrast, the difference between chimpanzees and modern humans is approximately 1,462 mtDNA base pairs. Materials and Methods: Neanderthal-inherited genetic material is found in all non-African populations and was initially reported to comprise 1 to 4% of the genome. This fraction was later refined to 1.5 to 2.1%. We had gone through many researches of Neanderthals affected gene flow in humans. Results: It is estimated that 20% of Neanderthal DNA currently survives in modern humans. Modern human genes involved in making keratin, a protein constituent of skin, hair, and nails, have especially high levels of introgression. For example, approximately 66% of East Asians contain a POUF23L variant introgressed from Neanderthals, while 70% of Europeans possess an introgressed allele of BNC2. Our finding shines a light on an enzyme called dipeptidyl peptidase4 (DPP4). Scientists already know the protein allows another coronavirus, which causes Middle Eastern respiratory syndrome (MERS), to bind to and enter human cells. The new analysis, of DPP4 gene variants among COVID-19 patients, suggests the enzyme also provides SARS-CoV-2 with a second door into our cells, along with its usual infection route via the angiotensin-converting enzyme 2 (ACE2) receptor on cell surfaces. Conclusion: Most Europeans, Asians, and Native Americans harbor a handful of genes from Neanderthals, up 1.8% to 2.6% of their DNA. Studies of ancient DNA in Neanderthal fossils have shown the hominin's DPP4 gene subtly differs from the typical human one. Conclusion: The hominin's DPP4 gene inherited from Neanderthals plays a major role in Immune System Disorders and Lower Immune response in many diseases. This gene plays a major role in affecting humans with COVID-19 and spreading it through the world. All humans contain this gene from 1 to 4%. East Asians, Europeans, Middle and south Americans conveys more, hence, native Africans contain less amounts of hominin's DPP4 gene. Therefore, East Asians, Europeans, Middle and south Americans are prone to severe COVID-19.

Polycyclic aromatic hydrocarbons and nitro-polycyclic aromatic hydrocarbons in five East Asian cities: Seasonal characteristics, health risks, and yearly variations.

Total suspended particulate matter and fine particulate matter were collected in five East Asian cities (Sapporo, Sagamihara, Kirishima, Shenyang, and Vladivostok) during warm and cold periods from 2017 to 2018. Nine polycyclic aromatic hydrocarbons (PAHs) and three nitro-polycyclic aromatic hydrocarbons (NPAHs) were detected by high-performance liquid chromatography with a fluorescence detector. The average concentrations of ∑PAHs and ∑NPAHs differed significantly both temporally and spatially and were the lowest in Kirishima during the warm period (∑PAHs: 0.11 ± 0.06 ng m-3; ∑NPAHs: 1.23 ± 0.96 pg m-3) and the highest in Shenyang during the cold period (∑PAHs: 49.7 ± 21.8 ng m-3; ∑NPAHs: 357 ± 180 pg m-3). The average total benzo[a]pyrene-equivalent concentrations were also higher in Shenyang and Vladivostok than in Japanese cities. According to the results of source apportionment, traffic emissions impacted these cities in both the warm and cold periods, whereas coal combustion-generated effects were obvious in Shenyang and Vladivostok during the cold period. Furthermore, PAHs and NPAHs originating from the Asian continent, including Shenyang and Vladivostok, exerted some influence on Japanese cities, especially in the cold period. Compared to Japanese cities and Vladivostok, yearly variations in ∑PAHs and 1-nitropyrene in Shenyang showed that their concentrations were considerably lower than those reported in past studies, indicating the positive effects of air pollutant control policies in China. These results not only describe the current characteristics and yearly variations of PAHs and NPAHs in typical urban cities in East Asia but also, more importantly, reveal that the effects of the East Asian monsoon play an important role in the analysis of atmospheric behaviours of PAHs and NPAHs. Furthermore, this study supports the role of multinational cooperation to promote air pollution control in East Asia.

SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis.

BACKGROUND: The COVID-19 pandemic has had a profound global impact on governments, health care systems, economies, and populations around the world. Within the East Asia and Pacific region, some countries have mitigated the spread of the novel coronavirus effectively and largely avoided severe negative consequences, while others still struggle with containment. As the second wave reaches East Asia and the Pacific, it becomes more evident that additional SARS-CoV-2 surveillance is needed to track recent shifts, rates of increase, and persistence associated with the pandemic. OBJECTIVE: The goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk, persistence, and weekly shifts, to better understand country risk for explosive growth and those countries who are managing the pandemic successfully. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. We provide novel indicators to measure disease transmission. METHODS: Using a longitudinal trend analysis study design, we extracted 330 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in East Asia and the Pacific as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: The standard surveillance metrics for Indonesia, the Philippines, and Myanmar were concerning as they had the largest new caseloads at 4301, 2588, and 1387, respectively. When looking at the acceleration of new COVID-19 infections, we found that French Polynesia, Malaysia, and the Philippines had rates at 3.17, 0.22, and 0.06 per 100,000. These three countries also ranked highest in terms of jerk at 15.45, 0.10, and 0.04, respectively. CONCLUSIONS: Two of the most populous countries in East Asia and the Pacific, Indonesia and the Philippines, have alarming surveillance metrics. These two countries rank highest in new infections in the region. The highest rates of speed, acceleration, and positive upwards jerk belong to French Polynesia, Malaysia, and the Philippines, and may result in explosive growth. While all countries in East Asia and the Pacific need to be cautious about reopening their countries since outbreaks are likely to occur in the second wave of COVID-19, the country of greatest concern is the Philippines. Based on standard and enhanced surveillance, the Philippines has not gained control of the COVID-19 epidemic, which is particularly troubling because the country ranks 4th in population in the region. Without extreme and rigid social distancing, quarantines, hygiene, and masking to reverse trends, the Philippines will remain on the global top 5 list of worst COVID-19 outbreaks resulting in high morbidity and mortality. The second wave will only exacerbate existing conditions and increase COVID-19 transmissions.