Outbreak Years Research Articles

Evolution of Ebola and Marburg Treatment Centers Design, a Review of the Last Ten Years of Outbreaks in Africa

During Ebola and Marburg outbreaks, treatment centers are essential for patient care and controlling transmission. While clinical care advancements have been well-documented, the design of these centers has been less explored. This study addresses this gap by analyzing technical drawings of 48 treatment centers constructed between 2014 and 2023, using a reverse-engineering approach. The findings highlight a shift toward smaller, more manageable centers, with improved privacy and infection control features. This review offers a framework for the future development of treatment center designs to enhance outbreak management. Key contributions include the identification of trends in center size and layout, providing a foundation for future design standards that can be applied in managing infectious disease outbreaks. The study emphasizes the need for continuous adaptation in treatment center design to meet outbreak demands and calls for future research to develop indicators that measure the impact of design on health outcomes and patient experiences.

Exploring Opportunities and Challenges: SWOT Analysis for Advancing Smart Tech Solutions in Managing Lymantria dispar dispar Infestations in Forests of the European Union

The European spongy moth, Lymantria dispar dispar (L.) (Lepidoptera: Erebidae), originating from Eurasia, is found in Europe, Africa, and North America. Its polyphagous larvae infest deciduous and coniferous trees, causing severe damage during mass outbreak years. Thus, it is listed as one of the top 100 invasive alien species worldwide. The management and containment of this pest vary significantly between Europe and North America, with North America exhibiting a more robust response regarding the containment of the outbreaks. This study evaluates the current state of the European Union (EU-27) forests’ legal, political and cooperative protection frameworks concerning L. dispar dispar. We identified active and potential new stakeholders to assess the level of national and international collaboration in forest protection. We conducted a SWOT analysis to propose new strategies and solutions, aiming for enhanced cooperation in protecting EU forests from L. dispar dispar outbreaks. Our findings highlight the potential of new monitoring and reporting technologies and the importance of increased social and political awareness through social media and public campaigns. These measures would enable more centralized and coordinated efforts among member states. A few of the most significant results in each category of SWOT analysis are as follows: for strengths, a well-established network of EU and national stakeholders exists; for opportunities, emerging innovative technologies, such as IoT, AI, and 5G, are transforming our approach to forest protection; for weaknesses, there is a lack of informed choices regarding proactive measures to contain the outbreak due to a lack of centralized EU coordination and the inefficiencies of national state policies. Finally, the numerous threats to the well-being of EU forests competing for the attention of institutions and relevant stakeholders is by far one of the most important parameters regarding the threats to the EU’s forest protection. The study advocates for a unified, technologically advanced approach to manage and mitigate L. dispar dispar impacts in European forests, emphasizing the need for strengthened international cooperation and the strategic implementation of innovative solutions.

Can repellent crops reduce the abundance of the common vole (Microtus arvalis) as a way to reduce crop damage?

The common vole is one of the most damaging rodents in agriculture. A number of methods are used to suppress its numbers and limit damage. One option is growing crops that are not suitable for voles; this might limit their numbers and distribution. Through long-term monitoring of common voles throughout the Czech Republic, their abundance in eleven crop types (annual, biennial and perennial crops) was evaluated through active burrow counts. Reference crops were selected from perennials and biennials and annual crops were selected as potential repellents. The perennial crops were clover with alfalfa, which serve as the primary habitat for voles. These crops are where voles are found in their highest densities, and from which they spread to the surrounding crops during periods of high abundance. The biennial winter rape was selected because it provides favourable conditions for voles to overwinter and multiply rapidly in the spring. Compared to perennial crops and winter rape, significantly lower numbers of voles were found in onions, poppy seeds and maize. Additionally, fewer voles were also found in mustard compared to perennial crops. Onion and poppy were the only crops to show a significantly lower abundance of voles in comparison to wheat. The annual crops tested are unattractive to voles and due to the cultivation practices used, they do not even have enough weeds as food. As profitable crops they can be cultivated over sufficiently large areas to potentially prevent the spread of voles to surrounding crops, especially during outbreak years.

Response of parasitoid communities to insecticide application during a Lymantria dispar outbreak in mixed oak forests

Abstract In the temperate mixed oak forests of Central Europe, outbreaks of insects such as the spongy moth, Lymantria dispar, can cause severe defoliation and insecticide is sometimes applied for their control. Parasitoids, mainly Hymenoptera and Diptera, are among the most diverse and important natural enemies of caterpillars in these forests. However, due to their cryptic lifestyle and taxonomic difficulties, we lack knowledge on the impact of insecticide applications on complex host‐parasitoid networks. In a large‐scale field experiment, we tested the effect of spraying the lepidopteran‐specific insecticide Mimic (tebufenozide) on the abundance and community composition of both adult and larval parasitoids. We combined morphological identification, DNA barcoding and metabarcoding to identify parasitoids adult or inside caterpillars, both sampled by canopy fogging during an outbreak and two subsequent years. We analysed the abundance of parasitoids, community composition and network specialisation using statistical methods that account for sample incompleteness in host‐parasitoid data. For adult parasitoid assemblages, we found strong annual effects on abundance, with highest numbers of adult parasitoids occurring in the outbreak year, as well as on annual changes in community composition, but no effect linked to insecticide application. However, the abundance and species number of immature parasitoids revealed negative effects of insecticide application, while community composition was only affected by annual variation. Coverage‐based network analyses showed a reduction of taxonomic network diversity and network specialisation associated with insecticide application in the first 2 years. Synthesis and applications: This real‐world experiment shows that parasitoid populations respond immediately to large‐scale outbreaks but only limited to local disturbances. Results indicate that this group of natural enemies exhibits high mobility, enabling them to track host populations across large spatial scales. However, our observation of reduced network specialisation after insecticide application is a warning signal that ecosystem function, and consequently natural pest control services, may be impaired by human interference at the local stand scale.

Ongoing Excess Hospitalizations for Severe Pediatric Group A Streptococcal Disease in 2023-2024-A Single-Center Report.

A Europe-wide outbreak of invasive pediatric group A streptococcal infections (iGAS) began in fall 2022. Here, we report the evolution of GAS hospitalizations in children and adolescents during the second outbreak year in 2023-2024 at a tertiary center in Switzerland. Using prospective monitoring of all in-patient GAS cases below 16 years of age, including those with iGAS, we compared case frequencies and clinical characteristics in three time periods (2013-2020; 2022-2023; 2023-2024). Annual GAS hospitalizations increased from a median of 25 cases (range 11-28) in 2013-2020 to 89 and 63 cases, respectively, in 2022-2023 and 2023-2024. iGAS cases evolved similarly (2013-2020, 4 cases (3-8); 2022-2023, 32 cases; 2023-2024, 21 cases). The decline in cases from 2022-2023 to 2023-2024 included all types of GAS organ involvement, except suppurative infections in the head area, which remained largely unchanged (48 vs. 45 cases). Pleural empyema declined from 13 to 7 cases, possibly explained by a poor overlap of the GAS and influenza curves, respectively, in 2023-2024 compared to 2022-2023. These data document the prolongation of the GAS outbreak into its second winter season in 2023-2024.

RHDV2 outbreak reduces survival and juvenile recruitment, causing European rabbit population collapse

AbstractInfectious diseases can cause considerable mortality in vertebrate populations, especially when a new pathogen emerges. Quantifying the impact of diseases on wild populations and dissecting the underlying mechanisms requires longitudinal individual monitoring combining demographic and epidemiologic data. Such longitudinal population studies are rare. Rabbit hemorrhagic disease (RHD) is one of the main causes of the decline in European wild rabbit (Oryctolagus cuniculus) populations. A new genotype of RHD virus (RHDV), called RHDV2 or GI.2, emerged in 2010, posing a new threat to previously weakened populations, particularly as this virus can infect individuals already immune to classical RHDV strains. Taking advantage of intensive monitoring from 2009 to 2014 by physical captures and microchip detections of a semi‐captive population of rabbits, we finely assessed the demographic impact of an initial RHDV2 outbreak that occurred in the population and identified the most affected demographic parameters. A multi‐event modeling analysis revealed decreased survival in both juveniles and adults in 2011 and 2012, suggesting an RHDV2 outbreak for two consecutive years. The short‐term survival benefit of vaccination against classical RHDV strains only during these years, and the recovery of carcasses with RHDV2 detection, supported this hypothesis. Variations in population vaccination coverage also explain the difference in adult survival between the two years of the outbreak. And the transient protective effect of vaccination could explain the prolonged duration of the outbreak. A brief episode of myxomatosis in 2011 seems to have had only a limited impact on the population. During outbreak years, in individuals not recently vaccinated, monthly juvenile survival crashed (0.55), and annual adult survival was three times lower than in normal years (0.21 vs. 0.69). The combination of successive juvenile and adult survival estimates for unvaccinated rabbits during the outbreak years resulted in a very low recruitment rate in the breeding population. Finally, RHDV2 outbreaks appear to have caused mortalities comparable to those caused by older classical RHDV strains and may have a strong demographic impact on wild populations of European rabbit. This work highlights the importance of long‐term observational and experimental studies to better understand the impact of epidemics on animal populations.

Transboundary migration of Loxostege sticticalis (Lepidoptera: Crambidae) among China, Russia and Mongolia.

The beet webworm, Loxostege sticticalis, a worldwide pest of many crops, performs a seasonal migration, causing periodic outbreaks in Asia, Europe and North America. Although long-distance migration is well documented in China, patterns of transboundary migration among China, Russia and Mongolia are largely unknown. We performed a phase analysis of L. sticticalis periodic outbreaks among three countries based on 30 years of historical population data, analyzed the wind systems during migration over boundary regions, and traced the migratory routes in a case study of outbreaks in 2008 by trajectory simulation. Highly synchronized outbreak years of L. sticticalis were observed between China and Mongolia, China and eastern Siberia, China and western Siberia, Mongolia and eastern Siberia, eastern Siberia and western Siberia from 1978 to 2008, indicating possible transboundary migration between these regions. Winds at 300-600 m altitude, where adult migration usually occurs, also showed a high probability of northwestern winds in Haila'er (China), Chita (Russia) and Choybalsan (Mongolia), favoring successful adult migration from these areas to northern and northeastern China. Back trajectory analysis further showed that the first-generation adults that caused the severe outbreak of second-generation larvae in 2008 originated from eastern Siberia, eastern Mongolia, and the boundary regions of China-Russia and China-Mongolia. Our findings demonstrated that the source of L. sticticalis outbreaks in northern China was closely related to the outbreaks in Siberia and Mongolia via long-distance transboundary windborne migration. This information will help guide international monitoring and management strategies against this notorious pest. © 2024 Society of Chemical Industry.

Twenty-five years of Nipah outbreaks in Southeast Asia: A persistent threat to global health

ObjectivesNipah virus (NiV), a bat-borne zoonotic pathogen, poses persistent threats to global public health due to severe clinical manifestation and high case fatality rate (CFR). A critical examination of NiV outbreaks is essential for refining strategies and mitigating the impact of future infections. In this study, we provide a concise update on global NiV outbreaks that occurred during the past 25 years. MethodsIn this geospatial study, we conducted an in-depth examination of the epidemiological characteristics of human NiV cases and deaths from 1998 to 2024 through multiple analyses of public data and official reports. ResultsNiV emerged in 1998 in Malaysia during an outbreak among pig farmers. Since then, NiV outbreaks have been documented in five countries of South and Southeast Asia (Bangladesh, India, Malaysia, Philippines, and Singapore). As of May 2024, there have been 754 confirmed human NiV cases with 435 deaths (CFR: 58%) reported in these five countries. Bangladesh records the highest incidence (341 cases and 241 deaths; CFR: 71%) followed by Malaysia (283 cases and 109 deaths; CFR: 39%), India (102 cases and 74 deaths; CFR: 73%), the Philippines (17 cases and nine deaths; CFR: 53%), and Singapore (11 cases and one death; CFR: 9%). ConclusionsThe clinical outcomes of NiV have been underscoring constant global public health threats as no effective therapies and vaccines are available. Strong global understandings, with an eye on developing vaccines and therapeutics, are required to minimize clinical outcomes and future threats of NiV.

Nationwide Trends in Hospitalizations for Atrial Fibrillation and Flutter in the United States before and during the Outbreak of the COVID-19 Pandemic.

Background/Objectives: Atrial fibrillation (AF) and flutter (AFL) are the most common cardiac arrhythmias worldwide. Cardiovascular complications are a common manifestation of acute and post-acute COVID-19 infection. We aimed to analyze the nationwide trends in clinical characteristics and outcomes of patients hospitalized for AF/AFL before and during the COVID-19 outbreak in the U.S. Methods: This study is a retrospective analysis of patients, aged 18 and older, hospitalized for AF/AFL in the U.S. between 2016 and 2020. We drew data from the National Inpatient Sample (NIS) database. Baseline sociodemographic and clinical data, as well as outcomes including stroke, acute coronary syndrome (ACS), and mortality, were analyzed. Multivariable analysis was performed to identify independent associations between the different clinical and demographic characteristics and the composite endpoint of Mortality/ACS/Stroke. Results: An estimated total of 2,163,699 hospitalizations for AF/AFL were identified. The hospitalization volume between 2016 and 2019 was stable, averaging 465,176 a year, followed by a significant drop to 302,995 in 2020. Patients' median age was 72 years (IQR 62-80), 50.9% were male, and 81.5% were white. The composite endpoint steadily increased from 6.5% in 2016 to 11.8% in 2020 (Ptrend < 0.001). In a multivariable regression analysis, age > 75 (OR: 1.35; 95% CI 1.304-1.399, p < 0.001), ischemic heart disease (OR: 1.466; 95% CI: 1.451-1.481; p < 0.001), and chronic kidney disease (OR: 1.635; 95% CI: 1.616-1.653; p < 0.001) were associated with the composite endpoint. COVID-19 was associated with the composite endpoint outcome in the year 2020 (OR: 1.147; 95% CI: 1.037-1.265; p = 0.007). Conclusions: Hospitalization for AF/AFL dropped significantly during the first year of the COVID-19 pandemic outbreak, possibly due to patients' avoidance of hospital visits. The composite endpoint of Mortality/ACS/Stroke uptrended significantly during the study period. COVID-19 was shown to be independently associated with the adverse composite outcome Mortality/ACS/Stroke.

Evaluating the Interaction of Emerging Diseases on White-Tailed Deer Populations Using an Agent-Based Modeling Approach.

Disease co-occurrence in wildlife populations is common yet understudied. In the case of disease-caused mortality, the mortality attributed to one disease has the potential to buffer populations against subsequent alternative disease outbreaks by reducing populations and thus contacts needed to sustain disease transmission. However, substantial disease-driven population declines may also prevent populations from recovering, leading to localized extinctions. Hemorrhagic disease (HD), a vector-transmitted, viral disease in white-tailed deer (WTD), similar to chronic wasting disease (CWD), a prion disease, has increased in frequency and distribution in the United States. However, unlike CWD, which progresses slowly, HD can cause mortality only days after infection. Hemorrhagic disease outbreaks can result in substantial localized mortality events in WTD near vector habitats such as wetlands and may reduce local deer densities and consequent CWD transmission. The objective of our study was to evaluate the potential for HD outbreaks to buffer CWD risk where the diseases co-occur. Using an agent-based modeling approach, we found that frequent, intense HD outbreaks have the potential to mitigate CWD risk, especially if those outbreaks occur shortly after CWD introduction. However, HD outbreaks that do not result in substantial WTD mortality are unlikely to impact CWD or WTD population dynamics. Severe HD outbreaks may reduce CWD cases and could present an opportunity for managers to boost CWD control initiatives in a post-HD outbreak year.

Investigation of COVID-19 transmission during the first community outbreak in a remote island population, Falkland Islands, April to June 2022.

After 2 years of no community outbreaks of COVID-19, the Falkland Islands (FI) reported their first community case in April 2022. Because of high vaccine coverage (88% of entire population), no specific control measures were instigated, and cases spread rapidly. We undertook a retrospective cohort study to determine the extent of transmission and the effectiveness of COVID-19 vaccine in a population with limited natural immunity. We extracted data on age, sex, and vulnerability for the FI registered population from a patient information system and linked to COVID-19 case line-list and vaccination datasets. Cases were individuals with positive SARS-CoV-2 PCRs or Lateral Flow Devices (LFDs), from 26 April to 30 June 2022. Univariable analyses compared case risk factors to non-cases. Relative vaccine effectiveness was calculated using Poisson regression with robust error variance, comparing against individuals with vaccination more than the 20 weeks prior to the outbreak. Models were adjusted for age, sex, extreme vulnerability, and previous infection. Of the 3,343 registered population, 44% (n = 1,467) were cases, with no COVID-19 hospitalisations or deaths. In univariable analysis, being female (RR 1.12, p = 0.004) and under 18 years (RR 1.70, p<0.001) were associated with increased COVID-19 risk. Relative vaccine effectiveness was 39.0% (95% CI, 1.03 to 62.5) and 33.0% (95% CI, 8.3 to 51.0) 1 to 9 weeks after receiving 2nd and 1st boosters respectively. We showed widespread transmission in a small island population with limited natural immunity, disproportionately affecting children and women, indicative of transmission in educational and household settings. Despite limited natural immunity, our findings suggested that vaccination was effective protecting against severe disease and booster doses provided additional short-term protection against infection. We would recommend optimizing coverage with boosters of vaccine in remote island populations such as FI. Follow-up would be needed to assess duration of protection after booster vaccination.

Trends of fear and anger on YouTube during the initial stage of the COVID-19 outbreak in South Korea

BackgroundThe COVID-19 pandemic has been the most widespread and threatening health crisis experienced by the Korean society. Faced with an unprecedented threat to survival, society has been gripped by social fear and anger, questioning the culpability of this pandemic. This study explored the correlation between social cognitions and negative emotions and their changes in response to the severe events stemming from the COVID-19 pandemic in South Korea.MethodsThe analysis was based on a cognitive-emotional model that links fear and anger to the social causes that trigger them and used discursive content from comments posted on YouTube’s COVID-19-related videos. A total of 182,915 comments from 1,200 videos were collected between January and December 2020. We performed data analyses and visualizations using R, Netminer 4.0, and Gephi software and calculated Pearson’s correlation coefficients between emotions.ResultsYouTube videos were analyzed for keywords indicating cognitive assessments of major events related to COVID-19 and keywords indicating negative emotions. Eight topics were identified through topic modeling: causes and risks, perceptions of China, media and information, infection prevention rules, economic activity, school and infection, political leaders, and religion, politics, and infection. The correlation coefficient between fear and anger was 0.462 (p < .001), indicating a moderate linear relationship between the two emotions. Fear was the highest from January to March in the first year of the COVID-19 outbreak, while anger occurred before and after the outbreak, with fluctuations in both emotions during this period.ConclusionsThis study confirmed that social cognitions and negative emotions are intertwined in response to major events related to the COVID-19 pandemic, with each emotion varying individually rather than being ambiguously mixed. These findings could aid in developing social cognition-emotion-based public health strategies through education and communication during future pandemic outbreaks.

The macroeconomic impact of a dengue outbreak: Case studies from Thailand and Brazil.

Dengue is spreading in (sub)tropical areas, and half of the global population is at risk. The macroeconomic impact of dengue extends beyond healthcare costs. This study evaluated the impact of dengue on gross domestic product (GDP) based on approaches tailored to two dengue-endemic countries, Thailand and Brazil, from the tourism and workforce perspectives, respectively. Because the tourism industry is a critical economic sector for Thailand, lost tourism revenues were estimated to analyze the impact of a dengue outbreak. An input-output model estimated that the direct effects (on international tourism) and indirect effects (on suppliers) of dengue on tourism reduced overall GDP by 1.43 billion US dollars (USD) (0.26%) in the outbreak year 2019. The induced effect (reduced employee income/spending) reduced Thailand's GDP by 375 million USD (0.07%). Overall, lost tourism revenues reduced Thailand's GDP by an estimated 1.81 billion USD (0.33%) in 2019 (3% of annual tourism revenue). An inoperability input-output model was used to analyze the effect of workforce absenteeism on GDP due to a dengue outbreak in Brazil. This model calculates the number of lost workdays associated with ambulatory and hospitalized dengue. Input was collected from state-level epidemiological and economic data for 2019. An estimated 22.4 million workdays were lost in the employed population; 39% associated with the informal sector. Lost workdays due to dengue reduced Brazil's GDP by 876 million USD (0.05%). The economic costs of dengue outbreaks far surpass the direct medical costs. Dengue reduces overall GDP and inflicts national economic losses. With a high proportion of the population lacking formal employment in both countries and low income being a barrier to seeking care, dengue also poses an equity challenge. A combination of public health measures, like vector control and vaccination, against dengue is recommended to mitigate the broader economic impact of dengue.

The Impact of SARS-CoV-2 on the Mental Health of Patients with Primary Immune Deficiency and Their Parents

: Since the start of the Coronavirus disease (COVID-19) pandemic, people have had to cope with significant mental pressure regarding this mysterious infection. The rapid spread of syndrome coronavirus 2 (SARS-CoV-2) worldwide has led to immense anxiety and depression among people, especially in the immunocompromised population and their close relatives. This study aims to evaluate the mental health of patients with primary immune deficiency (PID) and their mothers during the first year of the COVID-19 outbreak. A cross-sectional study was conducted from September 2020 to March 2021 among pediatric patients with PID and their family members. Thirty PID patients and their mothers were investigated using the Zung Self-Rating Anxiety Scale and Beck Anxiety Inventory (BAI), respectively. The results showed that mothers of younger PID patients experienced higher levels of anxiety (P-value = 0.019). Additionally, PID patients who did not comply with quarantine measures had significantly higher anxiety levels (P-value = 0.02). The results indicate mild to moderate anxiety in PID patients aged 12.1 ± 1.46 years during the first year of the COVID-19 outbreak. Furthermore, there was mild anxiety observed in mothers of PID patients. Non-compliance with quarantine measures significantly contributed to higher anxiety scores in both groups, emphasizing the importance of staying home and adhering to restricted social interactions to improve mental health.

Experiences of the first two pandemic years (2020 and 2021) in regards of the alteration of violent suicide attempts compared to 2016-2021. Presenting demographic features. Research made at Dr. Manninger Jenő National Traumatology Center, Hungary

IntroductionDuring the pandemic years in Hungary the completed suicide rates hasrisen significantly. Suicide rates had been decreasing until 2019 since 1986. In 2019, 1550 people dead by completed suicide, in 2020 this number increased to 1705, in 2021,1561 cases were registered. Violent suicide attempts represent the majority of completed suicides.ObjectivesIn our study we were analysing the number of alteration of violent suicide attempts between 2016-2021, focusing on the trend in the first two years of the pandemic outbreak. 228 inpatients (65,4% male, 34,6% female) gone under medical treatment due to violent suicide attempts between 2016-2021 at Dr. Manninger Jenő National Traumatology Center, Budapest, Hungary.MethodsWe used an interrupted time-series analysis with Prais-Winsten regression, controlling autoagressive and seasonal effects, to estimate the effect of the pandemic years on the violent suicide attempt rates in our sample. Demographic features, risk factors for suicidal behaviours, motivation and methods were analysed by Chi-square test and cross tabulation.ResultsComparing to the previous years, in the first two pandemic years significantly has risen the number of inpatients treated because of violent suicide attempts. After the rapid change in 2020, decreasing numbers could be observed in 2021.ConclusionsAnalyzing the numbers of violent suicide attempts between 2016 and 2021, an increase inthe number of attempts was observed during the first two pandemic years. Detailed demographic data and potential risk factors are also to be presented in the lecture.Disclosure of InterestNone Declared

Repercussões do isolamento social decorrente da pandemia da COVID-19 sobre sinais e sintomas de idosos com doença de Parkinson: revisão integrativa

Objective: To review the literature on the consequences of social isolation resulting from the COVID-19 pandemic on motor and non-motor signs and symptoms of elderly people with Parkinson's disease (PD). Method: This is an integrative review with a search in the following databases: PUBMED, LILACS and SCOPUS with filter for publications (November 2019), being proportional to the beginning of the COVID-19 outbreak (year 2020). Studies available in Portuguese, English or Spanish were included, with the elderly population (≥60 years) with PD, which assessed social isolation resulting from the pandemic as exposure and motor and/or non-motor symptoms of PD as an outcome. Studies that did not answer the guiding question and that did not comply with the proposed criteria were excluded. To analyze the methodological quality and the level of evidenced articles, the Critical Appraisal Skill Program and Agency for Health care and Research and Quality instruments were applied. To summarize the motor and non-motor signs and symptoms that worsened during social isolation, a coding criterion inspired by previous studies was used. Results: The final sample resulted in 8 articles. Elderly PD patients faced worsening motor symptoms, especially tremor and rigidity, and non-motor symptoms such as anxiety, depression, and fatigue. Conclusion: Social isolation resulting from the COVID-19 pandemic may have worsened the motor and non-motor symptoms of elderly people with Parkinson's disease. Therefore, it is important to implement multidisciplinary interventions, with a different perspective and care from the rehabilitation team in order to prevent biopsychosocial problems.

Detection and classification of Brandt’s vole burrow clusters utilizing GF-2 satellite imagery and faster R-CNN model

Most small rodent populations worldwide exhibit fascinating population dynamics, capturing the attention of numerous scholars due to their multiyear cyclic fluctuations in population size and the astonishing amplitude of these fluctuations. Hulunbuir steppe stands as a crucial global hub for livestock production, yet in recent decades, the area has faced recurring challenges from steppes rodent invasions, with Brandt’s vole (Lasiopodomys brandtii, BV) being particularly rampant among them. They not only exhibit seasonal reproduction but also strong social behavior, and are generally considered pests, especially during population outbreak years. Prior studies suggest that BV population outbreaks tend to occur across a wider geographic area, and a strong indicator for identifying rodent outbreaks is recognizing their burrow clusters (burrow systems). Hence, this paper conducts target object detection of BV burrow clusters in the typical steppes of Hulunbuir using two GF-2 satellite images from 2021 (the year of the BV outbreak). This task is accomplished by incorporating the Faster R-CNN model in combination with three detection approaches: object-based image classification (OBIC), based on vegetation index classification (BVIC), and based on texture classification (BTC). The results indicate that OBIC demonstrated the highest robustness in BV burrow cluster detection, achieving an average AP of 63.80% and an F1 score of 0.722 across the two images. BTC exhibited the second-highest level of accuracy, achieving an average AP of 55.95% and an F1 score of 0.6660. Moreover, this approach displayed a strong performance in BV burrow clusters localization. In contrast, BVIC achieved the lowest level of accuracy among the three methods, with an average AP of only 29.45% and an F1 score of 0.4370. Overall, this study demonstrates the crucial role of utilizing high-resolution satellite imagery combined with DL-based object detection techniques in effectively monitoring and managing the potential outbreaks of steppe rodent pests across larger spatial extents.

Re-Fining Citrus Leaf and Fruit Spot Disease Control Options in Northern Uganda

Citrus leaf and fruit spot disease, caused by Pseudocercospora angolensis has, since 2010, come about as the most dreadful disease of citrus in Northern Uganda. Over the last few years, feedback from citrus farmers has helped in re-fining management strategies. In the first years of citrus leaf and fruit spot disease outbreak in Northern Uganda, chemical treatment was promoted as part of a control package, in addition to the destruction of heavily diseased plants and buckthorn to remove inoculum. Buck horning and destruction of diseased plants is labour-intensive and time-consuming, especially when many infected citrus trees have to be taken out, or buck horned. Research findings indicate citrus leaf and fruit spot disease fungus can be weakened with fungicide sprays to the extent that even when disease symptoms are present on leaves, it does not automatically lead to infection of fruits. This gave rise to a new control strategy where only infected plants in an orchard are pruned, and all the citrus trees in the orchard are treated with fungicides. The pruning of visibly infected plants in an orchard will lessen the inoculum load, and the fungicide sprays will stop pathogen replication. This method is not labour intensive and takes less time when equated to severe buck horning of all the trees in the orchard. However, pruning and fungicide treatment need to move together with the control of new infections that can happen via unrestricted entry during harvesting

Characterization of infectious laryngotracheitis virus isolated from commercial layer chickens in Bangladesh during the year 2021-2022.

Infectious laryngotracheitis virus (ILTV) is responsible for causing infectious laryngotracheitis (ILT), which is a rapidly spreading and extremely transmissible disease in chickens. The current research aims to isolate and characterize ILTV from layer chickens in Bangladesh. A total of 345 samples (trachea, larynx, and lungs) were collected from ILT-suspected dead and sick layer chickens of 32 ILT-suspected farms in three different outbreak districts (Gazipur, Tangail, and Mymensingh) of Bangladesh during the outbreak year 2021-2022. Rapid detection kits examined the samples for avian influenza virus (AIV) and Newcastle disease virus (NDV). ILTV-specific primers were used to screen 72 NDV- and AIV-negative samples by polymerase chain reaction (PCR). Using chorioallantoic membrane (CAM), the study isolated the ILT virus from 9 to 10-day-old seronegative embryonated chicken eggs (ECEs) using selected PCR-positive samples. The virus was confirmed using nucleotide sequencing, agar gel immunodiffusion test (AGIDT), viral neutralization test (VNT), and pathogenicity evaluations using mortality index for chicken embryos (MICEs) and intra-tracheal pathogenicity index (ITPI). The results indicated that among the PCR-positive 10 samples, only two (Alim_ILT_1001 and Alim_ILT_1,000) were found positive using ECEs. There were two field isolates of ILTVs, as shown by the amplicon size of the ICP4 gene-based PCR. A phylogenetic study of the ICP4 gene revealed that the recent isolates have a close similarity with the ILTV isolates of Turkey, Bangladesh, and Australia. AGIDT revealed strong precipitation lines due to ILTV-specific antibodies reacting with field viruses, while VNT neutralized both isolates with conventional ILTV antibodies. The pathogenicity testing indicated that Alim_ILT_1001 had MICE and ITPI values of 0.77 and 0.63, whereas Alim_ILT_1,000 had 0.71 and 0.57. Both the ILTV isolates have similarities with the isolates of Turkey, Bangladesh, and Australia, and they are highly virulent for chickens.

AN INVISIBLE TERROR OUTSIDE: THE ANXIETY OF UNCERTAINTY, PANIC AND ISOLATION IN RUMAAN ALAM’S LEAVE THE WORLD BEHIND

Today humanity is going through a period of great upheavals and rapid changes in every sphere of life, including the environment, that inevitably lead to general destabilisation and disruptions. In the latest novel by Rumaan Alam, apocalyptic Leave the World Behind (2020), a crisis appears to reshape our closest bonds and forge new ones. This story of an invisible terror deals with cataclysmic but mysterious events that shut down the communication networks we over-rely on, and sees an almost overwhelming sense of uncertainty, panic and increasing anxiety. Isolated in the remote holiday house with the Vermont stone kitchen tops and night-lit swimming pool, a couple of New Yorkers and their teenage children are looking forward to taking a rest from the routines of city life when catastrophe strikes. In addition to the major theme of the threat of human extinction, Leave the World Behind explores the relationship between class and race and the complexities of parenthood and solitude during an unspecified disaster. Those issues are included in the context of the global problem of anthropogenic impacts on the environment. At the same time, Alam demonstrates how habituation to the ongoing crises in the modern world, including social-ecological transformations, affects the understanding of a severe situation people are facing and ways to prevent it: they have increasing tolerance for the absurd. The suspenseful, provocative and prescient book, Leave the World Behind, captures the generalised panic of 2020, the year of a global outbreak of coronavirus. As a kind of end-of-the-world fiction, the novel is full of moments of exquisite recognition and reappraising of our attitudes the article discusses.