Outbreak Years Research Articles

Intensive care burden of COVID-19 in tertiary care hospitals during the first year of outbreak in Kawasaki City, Japan: A retrospective cohort study

IntroductionThis study aimed to describe the changes in the intensive care burden of coronavirus disease 2019 (COVID-19) during the first year of outbreak in Japan. MethodsThis retrospective cohort study included COVID-19 patients who received mechanical ventilation (MV) support in two designated hospitals for critical patients in Kawasaki City. We compared the lengths of MV and stay in the intensive care unit (ICU) or high care unit (HCU) according to the three epidemic waves. We calculated in-hospital mortality rates in patients with or without MV. ResultsThe median age of the sample was 65.0 years, and 22.7% were women. There were 37, 29, and 62 patients in the first (W1), second (W2), and third waves (W3), respectively. Systemic steroids, remdesivir, and prone positioning were more frequent in W2 and W3. The median length of MV decreased from 18.0 days in W1 to 13.0 days in W3 (P = 0.019), and that of ICU/HCU stay decreased from 22.0 days in W1 to 15.5 days in W3 (P = 0.027). The peak daily number of patients receiving MV support was higher at 18 patients in W1, compared to 8 and 15 patients in W2 and W3, respectively. The mortality rate was 23.4%, which did not significantly change (P = 0.467). ConclusionsThe lengths of MV and ICU/HCU stay per patient decreased over time. Despite an increase in the number of COVID-19 patients who received MV in W3, this study may indicate that the intensive care burden during the study period did not substantially increase.

Paving the way for human vaccination against Rift Valley fever virus: A systematic literature review of RVFV epidemiology from 1999 to 2021.

BackgroundRift Valley fever virus (RVFV) is a lethal threat to humans and livestock in many parts of Africa, the Arabian Peninsula, and the Indian Ocean. This systematic review’s objective was to consolidate understanding of RVFV epidemiology during 1999–2021 and highlight knowledge gaps relevant to plans for human vaccine trials.Methodology/Principal findingsThe review is registered with PROSPERO (CRD42020221622). Reports of RVFV infection or exposure among humans, animals, and/or vectors in Africa, the Arabian Peninsula, and the Indian Ocean during the period January 1999 to June 2021 were eligible for inclusion. Online databases were searched for publications, and supplemental materials were recovered from official reports and research colleagues. Exposures were classified into five groups: 1) acute human RVF cases, 2) acute animal cases, 3) human RVFV sero-surveys, 4) animal sero-surveys, and 5) arthropod infections. Human risk factors, circulating RVFV lineages, and surveillance methods were also tabulated. In meta-analysis of risks, summary odds ratios were computed using random-effects modeling. 1104 unique human or animal RVFV transmission events were reported in 39 countries during 1999–2021. Outbreaks among humans or animals occurred at rates of 5.8/year and 12.4/year, respectively, with Mauritania, Madagascar, Kenya, South Africa, and Sudan having the most human outbreak years. Men had greater odds of RVFV infection than women, and animal contact, butchering, milking, and handling aborted material were significantly associated with greater odds of exposure. Animal infection risk was linked to location, proximity to water, and exposure to other herds or wildlife. RVFV was detected in a variety of mosquito vectors during interepidemic periods, confirming ongoing transmission.Conclusions/SignificanceWith broad variability in surveillance, case finding, survey design, and RVFV case confirmation, combined with uncertainty about populations-at-risk, there were inconsistent results from location to location. However, it was evident that RVFV transmission is expanding its range and frequency. Gaps assessment indicated the need to harmonize human and animal surveillance and improve diagnostics and genotyping. Given the frequency of RVFV outbreaks, human vaccination has strong potential to mitigate the impact of this now widely endemic disease.

Key audit risks and audit procedures during the initial year of the COVID-19 pandemic: an analysis of audit reports 2019-2020

PurposeThe purpose of this study is to explore audit procedure disclosures related to key audit risks, during the prior year and the initial year of the COVID-19 outbreak, by reporting on matters published in over 3,000 Australian statutory audit reports during 2019 and 2020.Design/methodology/approachThis study partially uses latent semantic analysis methods to apply textual and readability analyses to external audit reports in Australia. The authors measure the tone of the audit reports using the Loughran and McDonald (2011) approach.FindingsThe authors find that 3% of audit procedures undertaken during 2020 were designed to address audit risks associated with the COVID-19 pandemic. As a percentage of total audit procedures undertaken during 2020, the authors find that smaller practitioners reported much less audit procedures related to COVID-19 audit risks than most larger audit firms. Finally, the textual analysis further found differences in the sentiment or tone of words used by different auditors in 2020, but differences in sentiment or tone were not found when 2020 was compared to the prior year 2019.Originality/valueThis study provides early evidence on whether auditors designed audit procedures to deal specifically with audit risks that arose due to the COVID-19 pandemic and on the extent and nature of those audit procedures. The study will help policymakers to better understand whether Key Audit Matters provided informational value to investors during a time of global crisis.

Changes in the Number of Public Health Nurses Employed in Local Governments in Japan During the Covid-19 Pandemic: A Cross-Sectional Study.

Prefectural public health centers in Japan conducted epidemiological surveys of all COVID-19 patients, which subsequently increased their workload as the infection rate increased. The survey was conducted by public health nurses (PHNs); therefore, an increase in their workload was expected. However, changes in the number of PHNs have not yet been examined. This study focused on recruiting PHNs to local governments in Japan during the COVID-19 pandemic. This cross-sectional study of 150 local government public health centers was conducted from November to December 2021. The survey items included the number of full-time and part-time PHNs, number of PHNs who resigned or retired from the job, and number of PHNs recruitment examinations conducted between 2017 and 2021. For all variables, the mean, standard deviation, and minimum and maximum values for each municipality and year were calculated, and a one-way analysis of variance was performed. The response rate of the questionnaires was 54.0% (81/150). The change in the employment status of PHNs from 2019 to 2020 was not statistically significant in 2020, which was the COVID-19 outbreak year. However, the number of full-time PHNs increased by 2.6, while part-time PHNs almost doubled from 5.2 ± 8.3 to 10.8 ± 9.6 (p = .61) for prefectures, from 13.6 ± 13.1 to 21.5 ± 34.8 (p = .23) for cities, and from 16.8 ± 26.8 to 52.3 ± 132.5 (p = .70) for wards. The survey revealed that since the COVID-19 pandemic, the ratio of part-time to full-time PHNs significantly increased. Current status reports of public health centers will encourage political decisions and research on the factors necessary to balance the supply and demand of full-time PHNs.

Do Local and World COVID‐19 Media Coverage Drive Stock Markets? Time‐Frequency Analysis of BRICS

The role of media coverage as a proxy for investor sentiments has led to the assessments of the impact of COVID‐19 media coverage on financial markets. To determine how both local and global media coverage affect financial markets differently, we investigate this issue from the perspective of top emerging markets, BRICS (i.e., Brazil, Russia, India, China, and South Africa). With datasets covering January 2020 to March 2022, we employ the wavelet coherence technique on two major subsamples, viz. initial outbreak year sample and the “new normal” era sample. Our findings demonstrate the leading role of BRICS equities in the initial outbreak period, particularly across medium and low frequencies. In the “new normal” era, we find a significant effect of world media coverage on BRICS equities. We discuss the implications of our findings, which are of importance to investors, policymakers, and practitioners.

Compassion Fatigue Influences the Mental Health and Turnover Intention of Nurses in the COVID-19 Pandemic.

Compassion fatigue is a true phenomenon experienced by overworked and exhausted nurses. This study assessed frontline nurses' compassion fatigue, stress, mental health, and turnover intention during the second year of the COVID-19 outbreak. Using a cross-sectional design, an online survey was administered in the first quarter of 2021 to 259 hospital nurses in the Central Philippines using standardized scales to gather the necessary data. Nurses were found to have moderate levels of compassion fatigue and turnover intention, high stress, and good mental health. Results revealed that compassion fatigue was associated with poor mental health (r = -5.05, p = 0.01), higher stress levels (r = 0.54, p = <0.001), and turnover intention (r = 0.27, p = <0.001). Pandemic-related compassion fatigue in nurses increases their stress, worsens their mental health, and heightens their intentions to leave their jobs. Organizations should address compassion fatigue through a supportive work climate.

Factors associated with suicidal behavior among university students in Bangladesh after one year of COVID-19 pandemic

BackgroundThe COVID-19 outbreak spillovers mental health burden where suicide is a common psychological public health issue that affects people all over the world. This study aimed to explore the factors associated with suicidal behavior among university students in Bangladesh after one year of the COVID-19 outbreak. MethodsAn online cross-sectional survey was conducted among 2100 Bangladeshi university students aged ≥18 years from April 29 to May 15, 2021. The survey questionnaire contained socio-demographic information, COVID-19 related physical and psychosocial factors (CRPPF), preventive response to psychological stress, and the Suicidal Behaviors Questionnaire-Revised (SBQ-R) scale. Descriptive statistics along with logistic regression were performed for statistical analysis. ResultsAbout 47.90% of the students were at risk of suicidal behavior, and female students were very likely to be at risk of suicidal behavior than their male counterparts (AOR = 2.28; 95% CI: 1.86 to 2.81). Keeping distance from friends or family (AOR = 1.66; 95% CI: 1.34 to 2.04), having relationship problems (AOR = 2.20; 95% CI: 1.79 to 2.70), feeling own selves as burden to families (AOR = 2.50; 95% CI: 2.02 to 3.11), and being stressed of lockdown (AOR = 1.56; 95% CI: 1.19 to 2.03) were highlighted as some of the significant factors associated with increased risk of suicidal behavior. ConclusionUniversity students were exposed to several factors that impose the risk of developing suicidal behavior. Concerned authorities should design & implement appropriate strategies for ensuring suicidal prevention besides their mental well-being.

Análisis del manejo de las especies de tucuras (Orthoptera: Acrididae), plaga del agro en el partido de Laprida, Buenos Aires, Argentina

Grasshoppers are among the dominant insects in most grassland systems. These insects’ communities tend to exhibit temporal variations in the distribution and abundance of their species, and during outbreak years cause important economic loss in both implanted pastures and crops. In the study area, Laprida county, as well as in other areas of Buenos Aires province, this pest problem has been recognized since last century. The aim of this study was to analyze the pest management of grasshoppers made by farmers and related institutions in Laprida using both qualitative (interviews and documentary observation) and quantitative methods (surveys). About 80% of surveyed farmers considered that grasshoppers are the main pest in the region, and 60% of them apply chemical insecticides against this pest, mainly on crops. Besides, only 12.8% of surveyed farmers are aware of nonchemical alternatives for pest control, such us biological control and natural enemies. Most of the interviewed farmers acknowledged the importance of preventive management through systematic grasshopper monitoring and spot treatments in risky areas. Additionally, farmers showed interest in the implementation of more environmentally-safer strategies such as biological control.

MAIZE VALUE CHAIN IN INDONESIA: AN EMPIRICAL STUDY BEFORE AND DURING COVID-19 PANDEMIC

The article describes a new idea of the maize value chain in Indonesia before and during the COVID-19 pandemic, as we already know that it affected all aspects of life, including agriculture. This research was conducted in East Java, South Sulawesi, and East Nusa Tenggara Province through interviewing stakeholders of the maize value chain. Data collection was carried out at two periods, before and the first year of the COVID-19 outbreak in Indonesia. Using the value chain mapping analysis, governance analysis, and marketing efficiency analysis on the maize value chain, it is confirmed that all marketing institutions except feed producers (mills) experienced a decrease in the R/C ratio, and profits and marketing cost were increased all actors. The R/C values and feed mills profits were even higher during the COVID-19 pandemic than before. Although there was a 2.96% decrease in the selling price and a 16.6% increase in costs during the pandemic, the difference between the selling price and the purchase price reached 25%, the R/C value became higher during the pandemic. In general, maize value chain performance was still efficient because the average R/C obtained was more than zero (0.134). The increase in prices at the consumer level was not perfectly transmitted to farmers' level prices. Meanwhile, the prices decline at the consumer level was perfectly transmitted to that at the farmer level.

Patterns of internal migration during the first year of the COVID-19 outbreak in Latvia

The COVID-19 pandemic has profoundly changed our daily lives in ways that might have far-reaching effects on societal norms and human behaviour. However, little research has yet been devoted to the pandemic's impact on internal migration. In this article, we analyse the interconnection between COVID-19 and internal migration in Latvia. This article aims to evaluate internal migration patterns during the first year of the COVID-19 outbreak in Latvia, using available data at the municipality level. We compare migration flow statistics from the 2011–2019 period and the single year of 2020, which marked the start of the COVID-19 outbreak in Latvia. The analysis identifies similar patterns regarding internal migration activity among observed geographical units. In both time periods, the highest migration levels around Riga have been witnessed and several other large cities. Comparing these time periods highlights slightly higher migration intensity in 2020 than before COVID-19.

Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia.

The rapid growth and development of cities is a contributing factor to the rise and persistence of dengue fever (DF) in many areas around the world. Many studies have examined how neighbourhood environmental conditions contribute to dengue fever and its spread, but have not paid enough attention to links between socio-economic conditions and other factors, including population composition, population density, the presence of migrant groups, and neighbourhood environmental conditions. This study examines DF and its distribution across 56 neighbourhoods of Jeddah City, Saudi Arabia, where the incidence of dengue remains high. Using stepwise multiple regression analysis it focuses on the key ecological correlates of DF from 2006-2009, the years of the initial outbreak. Neighbourhood variations in average case rates per 10,000 population (2006–2009) were largely predicted by the Saudi gender ratio and socio-economic status (SES), the respective beta coefficients being 0.56 and 0.32 (p < 0.001). Overall, 77.1% of cases occurred in the poorest neighbourhoods. SES effects, however, are complex and were partly mediated by neighbourhood population density and the presence of migrant groups. SES effects persisted after controls for both factors, suggesting the effect of other structural factors and reflecting a lack of DF awareness and the lack of vector control strategies in poorer neighbourhoods. Neighbourhood environmental conditions, as measured by the presence of surface water, were not significant. It is suggested that future research pay more attention to the different pathways that link neighbourhood social status to dengue and wider health outcomes.

Response of specialist and generalist predators to nonprogressive annual fluctuations in herbivorous insect populations

To control sawfly populations that cause a forest management problem due to feeding damage, it is necessary to understand the mechanism of eruptive outbreak in erratic intervals by clarifying the responses of natural enemies to the host population fluctuations. In this study, we investigated annual beech sawfly population fluctuations and its predator, ichneumonid parasitoid wasps (as specialists) and predatory soldier beetles (as generalists). In addition, yearly responses of predators to the host emerging patterns were examined using structural equation modeling. The results revealed that ichneumonid wasps showed a non-delayed synchronous response to erratic fluctuation of the host population, resulting in the maintenance of a constant parasitism ratio. In contrast, soldier beetle population, which tends to moderately fluctuate while maintaining a specific density, showed a low-intensity delayed response without significance in the model. These predator populations without strong delayed density-dependent response are quite unlikely to highly densify causing mass mortality to the host population in the both the current and following years of outbreak. In places where eruptive outbreaks of sawfly species repeatedly occur in erratic intervals, sawfly populations are possibly maintained in high density due to the low mortality ratio caused by predators.

Brief Report: HIV Diagnoses Among Persons Who Inject Drugs by the Urban-Rural Classification-United States, 2010-2018.

After many years of decline, HIV diagnoses attributed to injection drug use in the United States increased in 2015, the year of a large outbreak among persons who inject drugs (PWIDs) in Indiana. We assessed trends in HIV diagnoses among PWID across the urban-rural continuum. We conducted national and county-level analyses of diagnoses among persons aged ≥13 years with HIV attributed to injection drug use only and reported to the National HIV Surveillance System through December 2019; county of residence at diagnosis was classified according to the Centers for Disease Control and Prevention's National Center for Health Statistics Urban-Rural Classification Scheme. National trends for diagnoses occurring during 2010-2014 and 2014-2018 were assessed by the estimated annual percentage change (EAPC). Counties were considered to have an "alert" (ie, an increase above baseline) if the number of 2019 diagnoses among PWID was >2 SDs and >2 diagnoses greater than the mean of annual diagnoses during 2016-2018. Nationally, HIV diagnoses among PWID declined 33% during 2010-2014 from 3314 to 2220 (EAPC: -9.7%; 95% confidence interval: -10.8 to -8.6); EAPCs declined significantly in 5 of 6 urban-rural strata. During 2014-2018, diagnoses increased 11% to 2465 (EAPC: 2.4%; 95% confidence interval: 1.1 to 3.8); EAPCs were >0 for all urban-rural strata, although most were nonsignificant. Alerts were detected in 23 counties, representing 5 urban-rural strata. Vigilance is needed for increases in HIV among PWID in counties across the urban-rural continuum, particularly those with indicators of increased drug use. Prompt detection, investigation, and response are critical for stemming transmission.

Alternative Strategies for Controlling the Brown Locust, Locustana pardalina (Walker)

Regular and often intense outbreaks of the brown locust, Locustana pardalina (Walker), in the semi-arid Nama Karoo region of South Africa present a formidable pest control problem. Outbreak patterns over a 64-year period (1941–2005) were reviewed indicating a very high frequency of outbreak years with regular ‘plague’ periods being experienced, while a more detailed analysis of the numbers of locust targets controlled during a 22-year period (1983–2005) described the intensity and scale of the outbreaks. The operational constraints associated with the traditional ground-based control strategy employed against the thousands of individual roosting brown locust hopper band and swarm targets in the Karoo are discussed. A brief review of laboratory and field trials of alternative methods of controlling the brown locust, such as insecticide baits, barrier treatments and the Green Muscle® myco-insecticide, as an alternative to broad-spectrum pyrethroid insecticides are described. In addition, alternative control strategies to the current ‘Commando’ system of ground-based control operations are discussed. The recommendation is for a modernised and technology-equipped integrated brown locust management strategy (IPM), combining ground and aerial tactics that will have the flexibility and the capacity to deal effectively with outbreaks. The integrated management strategy should focus on ground-based control of hopper bands and fledgling swarms in the Upper and eastern Karoo, while outbreaks over most of the Central Karoo and arid Bushmanland areas should be left to fledge and coalesce into large-sized swarms that could then be targeted by spray aircraft as they migrate along their known swarm flight paths. The introduction of electronic reporting and GIS mapping technologies for brown locust campaign management is essential.

Clinical and Molecular Epidemiology of Crimean-Congo Hemorrhagic Fever in Humans in Uganda, 2013-2019.

ABSTRACT.Crimean-Congo Hemorrhagic Fever (CCHF) is endemic in Uganda, yet its epidemiology remains largely uncharacterized. To better understand its occurrence within Uganda, case reports of patients hospitalized with CCHF between 2013 and 2019 were reviewed. Further, genome sequences of CCHF-positive RNA obtained during this period were determined for phylogenetic comparisons. We found that a total of 32 cases (75% males; CFR, 31.2%), aged between 9 to 68 years, were reported during the study period. Most cases were detected during July to December of each outbreak year (81.2%; P < 0.01) and were located along the “cattle corridor” (68.7%, P = 0.03). The most common presenting symptoms were fever (93.8%), hemorrhage (81.3%), headache (78.1%), fatigue (68.8%), vomiting (68.8%), and myalgia (65.6%). In five patients for whom hematological data were available, varied abnormalities were observed including thrombocytopenia, leukopenia, anemia, lymphopenia, lymphocytosis, polycythemia, and microcytosis. About 56.3% (P = 0.47) of patients reported tick bites or exposure to livestock as their potential source of infection. Person-to-person transmission was suspected for two cases. Using unbiased metagenomics, we found that the viral S- and L- segments have remained conserved in Africa 2 clade since the 1950s. In contrast, the M segment split into two geographically interspersed clades; one that belongs to Africa 2 and another that is ancestral to Africa 1 and 2. Overall, this data summarizes information on the history and clinical presentation of human CCHF in Uganda. Importantly, it identifies vulnerable populations as well as temporal and geographic regions in Uganda where surveillance and control interventions could be focused.

A network representation approach for COVID-19 drug recommendation.

The coronavirus disease 2019 (COVID-19) has outbreak since early December 2019, and COVID-19 has caused over 100 million cases and 2 million deaths around the world. After one year of the COVID-19 outbreak, there is no certain and approve medicine against it. Drug repositioning has become one line of scientific research that is being pursued to develop an effective drug. However, due to the lack of COVID-19 data, there is still no specific drug repositioning targeting the COVID-19. In this paper, we propose a framework for COVID-19 drug repositioning. This framework has several advantages that can be exploited: one is that a local graph aggregating representation is used across a heterogeneous network to address the data sparsity problem; another is the multi-hop neighbors of the heterogeneous graph are aggregated to recall as many COVID-19 potential drugs as possible. Our experimental results show that our COVDR framework performs significantly better than baseline methods, and the docking simulation verifies that our three potential drugs have the ability to against COVID-19 disease.

Is Meteorology a Factor to COVID-19 Spread in a Tropical Climate?

It was speculated that fewer COVID-19 infections may emerge in tropical countries due to their hot climate, but India emerged as one of the leading hotspot. There is no concrete answer on the influence of meteorological parameters on COVID-19 even after more than a year of outbreak. The present study examines the impacts of Meteorological parameters during the summer and monsoon season of 2020, in different Indian mega cities having distinct climate and geography. The results indicate the sign of association, but it varies from one climatic zone to another. The principal component analysis revealed that humidity is strongly correlated with COVID-19 infections in hillocky city Pune (R = 0.70), dry Delhi (R = 0.50) and coastal Mumbai (R = 0.46), but comparatively weak correlation is found in arid climatic city of Ahmedabad. As against the expectations, no discernible correlation is found with temperature in any of the cities. As the virus in 2020 in India largely travelled with droplets, the association with absolute humidity in the dry regions has serious implications. Clarity in understanding the impact of seasonality will greatly help epidemiological research and in making strategies to control the pandemic in India and other tropical countries around the world.

The Association between the Mapping Distribution of Melioidosis Incidences and Meteorological Factors in an Endemic Area: Ubon Ratchathani, Thailand (2009–2018)

Abstract Melioidosis is a public health problem in the tropical regions, occurring to meteorological variability. For 10 years of melioidosis outbreaks, we create probability maps of melioidosis distribution during 2009–2018 and determine the association with meteorological factors. The monthly average rainfall and incidence of melioidosis were high from July to September but they not significantly associated (P = 0.576). However, the monthly maximum and minimum temperature were significantly associated with melioidosis incidence (P = 0.002 and P = 0.029, respectively). We estimated the spatial distribution of rainfall and maximum and minimum temperature using the Co-Kriging interpolation method which found that the spatial distribution of the melioidosis incidence was significantly associated with rainfall in 2009, 2010, and 2015; with the maximum temperature in 2009, 2010, 2011, 2013, and 2015; and with the minimum temperature in 2010, 2011, and 2015. Our finding approach may support information and classify a pattern for melioidosis distribution. Keywords: Incidence, Melioidosis, Meteorological factors

An update on preclinical pregnancy models of Zika virus infection for drug and vaccine discovery

ABSTRACT Introduction Congenital Zika syndrome is caused by Zika virus (ZIKV) infection during pregnancy and can culminate in structural and neurological defects in the fetus, including a spectrum of symptoms such as brain calcifications, hydrocephalus, holoprosencephaly, lissencephaly, ventriculomegaly, and microcephaly. Using animal models to study ZIKV infection during pregnancy represents a critical tool for understanding ZIKV pathophysiology, drug testing, vaccine development, and prevention of vertical transmission. Areas covered In this review, the authors cover state-of-the-art preclinical pregnancy models of ZIKV infection for drug discovery and vaccine development to prevent vertical transmission. Expert opinion The discovery of drugs against ZIKV infection represents an urgent necessity, and until now, no effective drug that can prevent the effects of vertical transmission has been tested in humans. Even after six years of the ZIKV outbreak in Brazil, no drugs or vaccines have been approved for use in humans. In part, this failure could be related to the lack of translatability from available preclinical models to humans.

Review of Vesicular Stomatitis in the United States with Focus on 2019 and 2020 Outbreaks.

Vesicular stomatitis (VS) is a vector-borne livestock disease caused by vesicular stomatitis New Jersey virus (VSNJV) or vesicular stomatitis Indiana virus (VSIV). The disease circulates endemically in northern South America, Central America, and Mexico and only occasionally causes outbreaks in the United States. Over the past 20 years, VSNJV outbreaks in the southwestern and Rocky Mountain regions occurred with incursion years followed by virus overwintering and subsequent expansion outbreak years. Regulatory response by animal health officials is deployed to prevent spread from lesioned animals. The 2019 VS incursion was the largest in 40 years, lasting from June to December 2019 with 1144 VS-affected premises in 111 counties in eight states (Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Texas, Utah, and Wyoming) and was VSIV serotype, last isolated in 1998. A subsequent expansion occurred from April to October 2020 with 326 VS-affected premises in 70 counties in eight states (Arizona, Arkansas, Kansas, Missouri, Nebraska, New Mexico, Oklahoma, and Texas). The primary serotype in 2020 was VSIV, but a separate incursion of VSNJV occurred in south Texas. Summary characteristics of the outbreaks are presented along with VSV-vector sampling results and phylogenetic analysis of VSIV isolates providing evidence of virus overwintering.