Severe Disruption Research Articles

Combined effect of polystyrene nanoplastic and di-n-butyl phthalate on testicular health of male Swiss albino mice: analysis of sperm-related parameters and potential toxic effects.

Plastics, especially polystyrene nanoplastic particles (PSNPs), are known for their durability and absorption properties, allowing them to interact with environmental pollutants such as di-n-butyl phthalate (DBP). Previous research has highlighted the potential of these particles as carriers for various pollutants, emphasizing the need to understand their environmental impact comprehensively. This study focuses on the subchronic exposure of male Swiss albino mice to PSNP and DBP, aiming to investigate their reproductive toxicity between these pollutants in mammalian models. The primary objective of this study is to examine the reproductive toxicity resulting from simultaneous exposure to PSNP and DBP in male Swiss albino mice. The study aims to analyze sperm parameters, measure antioxidant enzyme activity, and conduct histopathological and morphometric examinations of the testis. By investigating the individual and combined effects of PSNP and DBP, the study seeks to gain insights into their impact on the reproductive profile of male mice, emphasizing potential synergistic interactions between these environmental pollutants. Male Swiss albino mice were subjected to subchronic exposure (60days) of PSNP (0.2mg/m, 50nm size) and DBP (900mg/kg bw), both individually and in combination. Various parameters, including sperm parameters, antioxidant enzyme activity, histopathological changes, and morphometric characteristics of the testis, were evaluated. The Johnsen scoring system and histomorphometric parameters were employed for a comprehensive assessment of spermatogenesis and testicular structure. The study revealed non-lethal effects within the tested doses of PSNP and DBP alone and in combination, showing reductions in body weight gain and testis weight compared to the control. Individual exposures and the combination group exhibited adverse effects on sperm parameters, with the combination exposure demonstrating more severe outcomes. Structural abnormalities, including vascular congestion, Leydig cell hyperplasia, and the extensive congestion in tunica albuginea along with both ST and Leydig cell damage, were observed in the testis, underscoring the reproductive toxicity potential of PSNP and DBP. The Johnsen scoring system and histomorphometric parameters confirmed these findings, providing interconnected results aligning with observed structural abnormalities. The study concludes that simultaneous exposure to PSNP and DBP induces reproductive toxicity in male Swiss albino mice. The combination of these environmental pollutants leads to more severe disruptions in sperm parameters, testicular structure, and antioxidant defense mechanisms compared to individual exposures. The findings emphasize the importance of understanding the interactive mechanisms between different environmental pollutants and their collective impact on male reproductive health. The use of the Johnsen scoring system and histomorphometric parameters provides a comprehensive evaluation of spermatogenesis and testicular structure, contributing valuable insights to the field of environmental toxicology.

Resilience of Japanese Multinational Enterprise Production Networks during the COVID-19 Pandemic

Abstract We use COVID-19 as an exogenous shock to analyze the impact of the COVID-19 pandemic on Japanese multinational affiliates’ performance, determining that the pandemic adversely impacted performance in general, but severe disruptions did not last longer than one year. The COVID-19 shock also affected global transaction networks, and affiliates’ total sales were severely affected by procurement challenges. Regarding heterogeneous effects, affiliates actively engaged in trade experienced worse conditions than local-oriented firms. Finally, we explore whether and which local backward linkages could mitigate such shocks, concluding that affiliates’ local procurement from companies beyond only Japanese firms could gain resilience.

Policies for type 2 diabetes and non-communicable disease management during the COVID-19 pandemic in Kenya and Tanzania: a desk review and views of decision-makers

BackgroundThe COVID-19 pandemic caused disruptions in care that adversely affected the management of non-communicable diseases (NCDs) globally. Countries have responded in various ways to support people with NCDs during the...

Did the COVID-19 pandemic affect levels of burnout, anxiety and depression among doctors and nurses in Bangladesh? A cross-sectional survey study

IntroductionCOVID-19 has caused severe disruption to clinical services in Bangladesh but the extent of this, and the impact on healthcare professionals is unclear. We aimed to assess the perceived levels...

Established Definitions of Super-Critical Operational Modes as Automotive System Requirements

This paper introduces and elaborates on Super-Critical Operational Modes (SCOMs) within automotive systems. In the landscape of increasingly software-centric automotive functionalities, SCOMs are pivotal for maneuvering through severe operational disruptions while ensuring vehicle safety and longevity. Distinctly diverging from the traditional focus on normal operational modes and isolated component failures, this research accentuates the imperative need for a systematic understanding and mitigation of SCOMs. A nuanced classification system is proposed for SCOMs: Type I (Mild), Type II (Moderate), and Type III (Severe) intensities, each distinguished by their respective intensity levels, impacts, and recovery complexities. Particularly for Type III SCOMs, an innovative approach rooted in automatic diagnostics, analysis, and internal system restructuring is advocated, thereby obviating the need for external intervention. This framework provides invaluable insights for practitioners, enabling the identification, analysis, and autonomous response to SCOMs, thereby fostering the development of resilient, self-sustaining, and safe automotive systems.

Pathophysiological, immunological, and inflammatory features of long COVID.

The COVID-19 pandemic continues to cause severe global disruption, resulting in significant excess mortality, overwhelming healthcare systems, and imposing substantial social and economic burdens on nations. While most of the attention and therapeutic efforts have concentrated on the acute phase of the disease, a notable proportion of survivors experience persistent symptoms post-infection clearance. This diverse set of symptoms, loosely categorized as long COVID, presents a potential additional public health crisis. It is estimated that 1 in 5 COVID-19 survivors exhibit clinical manifestations consistent with long COVID. Despite this prevalence, the mechanisms and pathophysiology of long COVID remain poorly understood. Alarmingly, evidence suggests that a significant proportion of cases within this clinical condition develop debilitating or disabling symptoms. Hence, urgent priority should be given to further studies on this condition to equip global public health systems for its management. This review provides an overview of available information on this emerging clinical condition, focusing on the affected individuals' epidemiology, pathophysiological mechanisms, and immunological and inflammatory profiles.

A Specific Pattern of Routine Cerebrospinal Fluid Parameters Might Help to Identify Cases of West Nile Virus Neuroinvasive Disease.

Viral meningitis/encephalitis (ME) is a rare but potentially harmful disease. The prompt identification of the respective virus is important to guide not only treatment but also potential public health countermeasures. However, in about 40% of cases, no virus is identified despite an extensive diagnostic workup. The aim of the present study was to analyze demographic, seasonal, and routine cerebrospinal fluid (CSF) parameters in cases of viral ME and assess their utility for the prediction of the causative virus. Demographic data, season, and routine CSF parameters (total leucocytes, CSF cell differentiation, age-adjusted CSF/serum albumin ratio, and total immunoglobulin ratios) were retrospectively assessed in cases of viral ME. In total, 156 cases of acute viral ME (74 female, median age 40.0 years) were treated at a tertiary-care hospital in Germany. Specific viral infections were detected in 93 (59.6%) cases. Of these, 14 (9.0%) cases were caused by herpes simplex virus (HSV), 36 (23.1%) by varicella-zoster virus (VZV), 27 (17.3%) by enteroviruses, 9 (5.8%) by West Nile virus (WNV), and 7 (4.5%) by other specific viruses. Additionally, 64 (41.0%) cases of ME of unknown viral etiology were diagnosed. Cases of WNV ME were older, predominantly male, showed a severe disruption of the blood-CSF-barrier, a high proportion of neutrophils in CSF, and an intrathecal total immunoglobulin M synthesis in the first CSF sample. In a multinominal logistic regression analysis, the accuracy of these CSF parameters together with age and seasonality was best for the prediction of WNV (87.5%), followed by unknown viral etiology (66.7%), VZV (61.8%), and enteroviruses (51.9%). Cases with WNV ME showed a specific pattern of routine CSF parameters and demographic data that allowed for their identification with good accuracy. These findings might help to guide the diagnostic workup in cases with viral ME, in particular allowing the timely identification of cases with ME due to WNV.

Disruptions, Redundancy Strategies, and Performance of Small Firms: Evidence from Uganda

We study the impact of firm-specific business disruptions on the performance of small emerging market firms and test the effectiveness of building in redundancies to buffer against disruptions. Managerial disruptions result in the absence of the entrepreneur-owner, whereas operational disruptions lead to a shortage of critical resources, for example, inventory or electricity. We propose the use of relational redundancy—that is, the availability of a trusted and capable person with whom the entrepreneur-owner has an existing relationship, who can manage the business in his or her absence—to recover from managerial disruptions. We also examine whether resource redundancy—for example, maintaining safety stock or electricity backup—helps recover from operational disruptions. In the absence of publicly available data, we hand-built a panel data set by interviewing 646 randomly selected small firms over four time periods in Kampala, Uganda. We find that disruptions are highly prevalent and have a statistically and economically significant effect on firm performance. When a firm faces multiple exogenous and severe disruptions in a six-month period, its monthly sales decrease by 13.8% (p = 0.013), and its sales growth decreases by 18.8 percentage points (p = 0.070). Importantly, we find that both managerial and resource redundancies can help firms build resilience against the negative impact of disruptions. In some cases, firms with high levels of redundancy are able to completely overcome the negative effect of disruptions on sales and sales growth. We discuss implications for entrepreneurs, policymakers, and large multinationals that buy from or sell to small emerging market firms. This paper was accepted by Charles Corbett, operations management. Funding: This research was supported by grants from: Deloitte Institute for Innovation and Entrepreneurship (DIIE), the John A. and Cynthia Fry Gunn Faculty Scholar award, London Business School, Stanford Graduate School of Business, Stanford Institute for Innovation in Developing Economies (SEED), and STARS Foundation. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.4978 .

Pharmaceutical retail supply chain responses to the COVID-19 pandemic

AbstractIn the wake of the COVID-19 pandemic, the importance of resilient supply chain and operations management in the pharmaceutical industry has intensified. A particular challenge has been the timely adaptation to rapid fluctuations in the business environment to cope with disruptions and ensure the adequate supply of medical equipment and pharmaceuticals. In this study, we perform a simulation-based analysis of pandemic-triggered impacts on pharmaceutical supply chains in Germany with the aim of examining supply chain response to the COVID-19 pandemic. To accomplish this, we build a digital supply chain model using a hybrid approach that combines case study analysis and discrete-event simulation implemented in anyLogistix. Based on the results, we propose a specific response action plan for the pharmaceutical industry that can be deployed in response to severe disruptions and pandemic-like crises. We also offer a resilience framework for the post-pandemic environment as a guideline for strategic decision-making.

Herbal Approach in Premenstrual Syndrome – A Review

Premenstrual Syndrome (PMS) is a common phenomenon experienced by many women in the days leading up to their menstrual cycle. The physical and emotional symptoms can range from mild discomfort to severe disruptions in daily life. While conventional treatments exist, an increasing number of individuals are turning to herbal approaches to find relief from PMS symptoms such as Chaste Tree (Vitex agnus-castus), Evening Primrose Oil (Oenothera biennis), Dong Quai (Angelica sinensis), Ginger (Zingiber officinale), In addition to herbal remedies, lifestyle and dietary adjustments play a crucial role in managing PMS. A diet rich in whole foods, particularly fruits, vegetables, and whole grains, can contribute to overall well-being. Regular exercise has been shown to reduce PMS symptoms by promoting circulation and releasing endorphins, the body's natural mood elevators. The herbal approach to managing PMS offers a natural and holistic alternative for women seeking relief from the challenges of premenstrual syndrome. While individual responses to herbal remedies may vary, many women find comfort and support in the wisdom of nature.

Vaginal candida infection is associated with host molecular signatures of neutrophil activation in the adjacent ectocervical mucosa in Kenyan sex workers

AbstractProblemOvergrowth of candida species in the human vaginal mucosa causes inflammation, which could render the mucosal barrier more susceptible to HIV infection. Here, we investigated whether this condition also affects the ectocervical mucosa, a potential site of HIV entry, in women at high risk of HIV infection.Method of studyRetrospective medical data and ectocervical tissue samples were obtained from a cohort of Kenyan sex workers. Among 108 women, seven had signs of vaginal candida infection by wet smear microscopy and/or the presence of characteristic discharge. Women lacking these two criteria served as controls. Host transcriptomic profiling and quantitative in situ image analysis of epithelial barrier markers and CD4+ cell distribution were performed.ResultsThe candida group had 162 differentially expressed genes out of 15 435 genes as compared with the control group. Among these 162 genes, 147 were upregulated and 15 were downregulated. Gene expression pathway analysis indicated associations with an upregulated inflammatory response, defined primarily by markers of neutrophil activation. Transcription factor analysis revealed upregulation of pathways related to RELA/REL/NFKB1, JUN and STAT1 in the candida group. In situ image analysis of ectocervical tissue samples showed no differences between groups in terms of epithelial height, expression of epithelial junction proteins (E‐cadherin, claudin‐1, zonula occludens 1, and desmoglein‐1), or epithelial CD4+ cell distribution.ConclusionsVaginal candida infection was associated with inflammation and neutrophil infiltration, but not with severe epithelial disruption or CD4+ cell infiltration, in the ectocervical mucosa.

Impact of different genetic mutations on granulocyte development and G-CSF responsiveness in congenital neutropenia

AbstractCongenital neutropenia (CN) is a genetic disorder characterized by persistent or intermittent low peripheral neutrophil counts, thus increasing susceptibility to bacterial and fungal infections. Various forms of CN, caused by distinct genetic mutations, exhibit differential responses to granulocyte colony–stimulating factor (G-CSF) therapy, with the underlying mechanisms not fully understood. This study presents an in-depth comparative analysis of clinical and immunological features in 5 CN patient groups (severe congenital neutropenia [SCN]1, SCN3, cyclic neutropenia [CyN], warts, hypogammaglobulinaemia, infections and myelokathexis [WHIM], and Shwachman-Bodian-Diamond Syndrome [SBDS]) associated with mutations in ELANE, HAX1, CXCR4, and SBDS genes. Our analysis led to the identification of 11 novel mutations in ELANE and 1 each in HAX1, CXCR4, and G6PC3 genes. Investigating bone marrow (BM) granulopoiesis and blood absolute neutrophil count after G-CSF treatment, we found that SCN1 and SCN3 presented with severe early-stage disruption between the promyelocyte and myelocyte, leading to a poor response to G-CSF. In contrast, CyN, affected at the late polymorphonuclear stage of neutrophil development, showed a strong G-CSF response. WHIM, displaying normal neutrophil development, responded robustly to G-CSF, whereas SBDS, with moderate disruption from the early myeloblast stage, exhibited a moderate response. Notably, SCN1 uniquely impeded neutrophil development, whereas SCN3, CyN, WHIM, and SBDS also affected eosinophils and basophils. In addition, SCN1, SCN3, and CyN presented with elevated serum immunoglobulins, increased BM plasma cells, and higher A Proliferation-Inducing Ligand levels. Our study reveals a strong correlation between the stage and severity of granulocyte development disruption and the efficacy of G-CSF therapy.

Commensal antimicrobial resistance mediates microbiome resilience to antibiotic disruption.

Despite their therapeutic benefits, antibiotics exert collateral damage on the microbiome and promote antimicrobial resistance. However, the mechanisms governing microbiome recovery from antibiotics are poorly understood. Treatment of Mycobacterium tuberculosis, the world's most common infection, represents the longest antimicrobial exposure in humans. Here, we investigate gut microbiome dynamics over 20 months of multidrug-resistant tuberculosis (TB) and 6 months of drug-sensitive TB treatment in humans. We find that gut microbiome dynamics and TB clearance are shared predictive cofactors of the resolution of TB-driven inflammation. The initial severe taxonomic and functional microbiome disruption, pathobiont domination, and enhancement of antibiotic resistance that initially accompanied long-term antibiotics were countered by later recovery of commensals. This resilience was driven by the competing evolution of antimicrobial resistance mutations in pathobionts and commensals, with commensal strains with resistance mutations reestablishing dominance. Fecal-microbiota transplantation of the antibiotic-resistant commensal microbiome in mice recapitulated resistance to further antibiotic disruption. These findings demonstrate that antimicrobial resistance mutations in commensals can have paradoxically beneficial effects by promoting microbiome resilience to antimicrobials and identify microbiome dynamics as a predictor of disease resolution in antibiotic therapy of a chronic infection.

Climate Change and Institutional Resilience in Arctic Environmental Governance

This article highlights recent successes and failures in efforts to manage Arctic marine living resources to improve our understanding of institutional resilience—that is, the ability of cooperative institutions to maintain their performance despite severe disruptions to their operating environments. Rising ocean temperatures and other impacts of climate change may alter the spatial distribution of fish stocks, including their relative attachment to exclusive economic zones and their availability on the high seas. As evident in the examined Arctic cases, which involve the world’s largest stocks of cod, herring and mackerel, such changes may complicate core resource management tasks, including the regulatory task of reaching an agreement among user states on quotas and other restraints that align with scientific advice. The cross-case variance in regulatory resilience to climate-related and other changes in cooperative circumstances sheds light on general propositions regarding the drivers and inhibitors of institutional resilience, including institutional characteristics and the severity of the political challenges posed by changing circumstances.

The potential role of the orexin system in premenstrual syndrome.

Premenstrual syndrome (PMS) occurs recurrently during the luteal phase of a woman's menstrual cycle and disappears after menstruation ends. It is characterized by abnormal changes in both the body and mood, and in certain cases, severe disruptions in daily life and even suicidal tendencies. Current drugs for treating PMS, such as selective serotonin reuptake inhibitors, do not yield satisfactory results. Orexin, a neuropeptide produced in the lateral hypothalamus, is garnering attention in the treatment of neurological disorders and is believed to modulate the symptoms of PMS. This paper reviews the advancements in research on sleep disturbances, mood changes, and cognitive impairment caused by PMS, and suggests potential pathways for orexin to address these symptoms. Furthermore, it delves into the role of orexin in the molecular mechanisms underlying PMS. Orexin regulates steroid hormones, and the cyclic fluctuations of estrogen and progesterone play a crucial role in the pathogenesis of PMS. Additionally, orexin also modulates the gamma-aminobutyric acid (GABA) system and the inflammatory response involved in coordinating the mechanism of PMS. Unraveling the role of orexin in the pathogenesis of PMS will not only aid in understanding the etiology of PMS but also hold implications for orexin as a novel target for treating PMS.

Atmospheric ozone destruction and the end-Permian crisis: Evidence from multiple sulfur isotopes

The end-Permian mass extinction (EPME) is considered the largest biotic crisis of the Phanerozoic. To explain the worldwide destruction and mutation of land plants, previous work has emphasized the role of enhanced UV irradiation linked to volcanism-induced disruption of the ozone shield. However, direct evidence for a link between volcanic SO2 emission and stratospheric ozone deterioration is missing. Previous bulk analysis (i.e., SF6 method) found no Mass-Independent Fractionation of sulfur isotopes (MIF-S, noted Δ33S). However, possible grain scale sulfur isotope anomaly can be easily overlooked during bulk analysis. To detect possible sulfur isotope anomaly in grain scale, we applied in-situ multiple sulfur isotope analysis of the sulfide using secondary ion mass spectrometry (SIMS). We found a marked positive shift (higher than +0.30‰ and up to +0.94‰) just before the end-Permian extinction in the Meishan section. Modelling shows that these positive Δ33S anomalies cannot be explained by Mass Dependent Fractionation (MDF) processes alone, rather by UV-induced photolysis of volcanic SO2. The formation and preservation of MIF-S anomalies in the atmosphere and subsequent transport to the oceans require intense and prolonged irradiation of the Earth's surface with solar UV, thus fingerprinting severe disruption of the atmospheric ozone balance at the onset of Earth's largest mass extinction.

Development of a Web-based calculator to estimate DALY and Productivity Losses due to COVID-19

ObjectivesEver since the emergence of COVID-19, health and the economy worldwide have witnessed a severe disruption, with infection spreading rapidly, covering 231 countries as of May 07, 2023. Policymakers and Governments have been working to offer tailored interventions to the most vulnerable cohorts. Given this background, the paper involves description towards developing a Web-based Calculator to compute various estimates that quantify health economic impacts as these are much helpful than just mortality and simpler measures. MethodsThe computations required to determine the estimates and the variables involved have been picked based on the observations and literature. The manuscript presents the significance of the estimates, a description of the Calculator developed, followed by validation. The values estimated using Calculator were validated against those computed using formulas for the state of West Bengal, India. ResultsThe results indicated that the Calculator is able to produce near accurate results with the highest error percentage witnessed for Cost of Productivity Lost due to Absenteeism as 0.946%. Error percentages for Disability-Adjusted Life Years was 0.175, and less than 0.1 for all other estimates. ConclusionsThis could prove to be an effective tool for the policymakers and practitioners to identify the long-term impacts and the most vulnerable cohorts and devise targeted interventions. Additionally, these tools will allow the policymakers and governments to save time in compute these estimates in the future.

The Federal Reserve's Interest Rate Increases and Their Effect on the U.S. and Global Economies under the Covid-19 Pandemic

This paper delves into the successive Fed rate hikes that began in March 2022 and their far-reaching impact on the domestic and global economy. The paper primarily examines the reasons behind these rate hikes, focusing on their response to the problems caused by the COVID-19 pandemic, particularly unemployment and inflation trends. The pandemic triggered widespread lockdowns, leading to severe supply chain disruptions and economic downturns. During this period, unemployment rates rose sharply and reached historic levels. Central banks worldwide had adopted loose monetary policies to stabilize economies in the short term. However, this also raised the risk of persistent inflation. Fiscal stimulus, intermittent interest rate cuts, and a raft of bailouts, such as the CARES Act, have added complexity to the economic landscape, affecting various sectors and necessitating higher interest rates to restore pre-pandemic stability. Disruptions in global supply chains played a key role in stoking inflationary pressures, eroding consumer purchasing powers, and highlighting the urgency for the US Federal Reserve to intervene by adjusting interest rates. Assessing the impact of these rate hikes on stocks shows a resilient market that remained optimistic about the U.S. economic recovery. In addition, the study outlines the impact of these rate hikes on foreign exchange markets, international capital flows, emerging markets, trade dynamics, and global competitiveness.

Solving the mysteries of Lahore smog: the fifth season in the country

South Asian smog is an annually recurring air pollution event that is characterized by high concentrations of air pollutants, low visibility, and severe socio-economic disruptions. It is most frequently observed across the north-western parts of the Indo-Gangetic Plains (IGP). Since 2016, it has become so frequent and pervasive that they are colloquially referred to as “the fifth season” in the region. During this season populations residing in this area including cities such as Lahore, Amritsar, Faisalabad, Multan, Delhi etc. are exposed to hazardous levels of air pollution. This study attempts to understand the reasons for the recent increase in the intensity and frequency of intense air pollution episodes by utilizing ground-based and satellite observations. Time-series analysis, seasonal and annual variations in PM2.5 and AOD were carried out. Satellite data of UVAAI, CO, and fire count were used to determine the fire incidences and aerosol characterization. The results indicate that during the last decade, there has been an increase in air pollution sources while crop residue burning, and motor vehicles have greatly contributed to the increased frequency and intensity of such events. The meteorological and topographical data analysis revealed that the IGP provides ample cloud-condensation nuclei and optimum conditions for the accumulations of pollutants, especially in the post-monsoon and winter periods. The Mann-Kendall test was performed to confirm the annual and seasonal trends of PM2.5. The major cities of South Asia such as Lahore, Delhi, Kathmandu, and Dhaka have recently shown a decreasing trend with respect to annual AOD. However, an increase has been observed for the period of post-monsoon especially for cities of Lahore and Delhi. To distinguish potential sources of air pollutants during extreme smog episodes in the region, Analytical Hierarchy Process (AHP) was conducted to estimate the most contributing factors to the annual smog episodes. According to the data, the transboundary pollution resulting from open-field agriculture fires has been assigned moderate importance over vehicular emissions. A HYSPLIT trajectory model coupled with ground observations and satellite data shows that the agricultural fires do have a profound impact on the air quality of the region. It highlights the importance of transboundary pollution and cooperation among cities, regions, and countries across the shared airshed of the Indo-Gangetic Plains.

Resilience – and collapse – of local food systems in conflict affected areas; reflections from Burkina Faso

Armed conflicts are among the major disruptions affecting local food systems in low- and middle-income countries, having devastating effects on populations’ food security. The understanding of the mechanisms linking conflicts to food insecurity is limited, however, by a lack of data on how these conflicts affect the different actors of local food systems. In this study, we aim to address this gap, using empirical data from the northeast region of Burkina Faso where an active conflict is occurring. The objective is to document and analyze the impacts of that conflict on the functioning of the local food system and more specifically on the resilience of the traders that operate from Sebba, the capital of the Yagha province. The analysis reveals, first, the magnitude of the disruption. On average, these local food traders experienced a 40%-50% contraction in their activities compared to the situation prior to the conflict. Not all operators are affected with the same intensity, however. Transporters appeared to be impacted more severely than retailers/vendors. Econometric models are then used to explore the socio-economic characteristics of these different actors. The analysis shows that, contrarily to what is often observed with farmers, the level of assets did not seem to contribute significantly to traders’ resilience. Instead, having recently relocated to Sebba appears more important to ensure the level of adaptability needed to respond to the rapidly deteriorating situation. The analysis also reveals that the resilience of the “positive deviants” (those operators who did better than the rest of the group) materialized essentially through their capacity to buffer more effectively shocks’ impacts but it did not spare them from facing drastic contractions in their trade business. Eventually, the resilience of those positive deviants was not sufficient to maintain the resilience of the whole system. It ensues a catastrophic drop in the quantity of food traded (up to 50% for certain products), leading to the collapse of the system and a 10-fold increase in the food insecurity of the local population. The paper concludes by weighing the usefulness of the concept of resilience in the context of severe disruptions of the food systems (such as armed conflicts), emphasizes the risk that an unconditional promotion/adoption of that concept may reduce our ability to anticipate or even to envision collapse scenarios. On the brighter side, our analysis demonstrates that collecting specific information about the food system operators can help predict, and possibly prevent, such collapses.