Infectious Disease Threats Research Articles

Usefulness of aircraft and airport wastewater for monitoring multiple pathogens including SARS-CoV-2 variants.

As global travel resumed in coronavirus disease 2019 (COVID-19) endemicity, the potential of aircraft wastewater monitoring to provide early warning of disease trends for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants and other infectious diseases, particularly at international air travel hubs, was recognized. We therefore assessed and compared the feasibility of testing wastewater from inbound aircraft and airport terminals for 18 pathogens including SARS-CoV-2 in Singapore, a popular travel hub in Asia. Wastewater samples collected from inbound medium- and long-haul flights and airport terminals were tested for SARS-CoV-2. Next Generation Sequencing was carried out on positive samples to identify SARS-CoV-2 variants. Airport and aircraft samples were further tested for 17 other pathogens through quantitative reverse transcription polymerase chain reaction. The proportion of SARS-CoV-2-positive samples and the average virus load was higher for wastewater samples from aircraft as compared with airport terminals. Cross-correlation analyses indicated that viral load trends from airport wastewater led local COVID-19 case trends by 2-5 days. A total of 10 variants (44 sub-lineages) were successfully identified from aircraft wastewater and airport terminals, and four variants of interest and one variant under monitoring were detected in aircraft and airport wastewater 18-31days prior to detection in local clinical cases. The detection of five respiratory and four enteric viruses in aircraft wastewater samples further underscores the potential to expand aircraft wastewater to monitoring pathogens beyond SARS-CoV-2. Our findings demonstrate the feasibility of aircraft wastewater testing for monitoring infectious diseases threats, potentially detecting signals before clinical cases are reported. The triangulation of similar datapoints from aircraft wastewater of international travel nodes could therefore serve as a useful early warning system for global health threats.

Data-Driven Face Mask Detection and Alert System Utilizing Haar Cascade Classifier

The COVID-19 pandemic has brought to light the pivotal role of face masks in curbing the transmission of contagious illnesses. As societies strive to uphold mask mandates in public areas, there has been a surge of interest in automated face mask detection systems. This study presents a novel data-centric methodology for crafting a reliable face mask detection and notification system leveraging the Haar cascade classifier. Our approach hinges on a meticulously curated dataset comprising images of individuals both with and without masks. Through the adept utilization of feature extraction techniques and machine learning algorithms, our system learns to discern masked faces from their unmasked counterparts in real-time scenarios. The experimental outcomes of our study attest to the efficacy of our proposed system, showcasing commendable accuracy in detecting face masks. This substantiates its viability for deployment across diverse public settings, bolstering the arsenal of public health safety measures. The seamless integration of our system stands poised to fortify efforts aimed at safeguarding community well-being amidst the persistent threat of infectious diseases. Key words: Data, Mask , Deep Learning, Hybrid.

When do we need multiple infectious disease models? Agreement between projection rank and magnitude in a multi-model setting

Mathematical models are useful for public health planning and response to infectious disease threats. However, different models can provide differing results, which can hamper decision making if not synthesized appropriately. To address this challenge, multi-model hubs convene independent modeling groups to generate ensembles, known to provide more accurate predictions of future outcomes. Yet, these hubs are resource intensive, and how many models are sufficient in a hub is not known. Here, we compare the benefit of predictions from multiple models in different contexts: (1) decision settings that depend on predictions of quantitative outcomes (e.g., hospital capacity planning), where assessments of the benefits of multi-model ensembles have largely focused; and (2) decisions settings that require the ranking of alternative epidemic scenarios (e.g., comparing outcomes under multiple possible interventions and biological uncertainties). We develop a mathematical framework to mimic a multi-model prediction setting, and use this framework to quantify how frequently predictions from different models agree. We further explore multi-model agreement using real-world, empirical data from 14 rounds of U.S. COVID-19 Scenario Modeling Hub projections. Our results suggest that the value of multiple models could be different in different decision contexts, and if only a few models are available, focusing on the rank of alternative epidemic scenarios could be more robust than focusing on quantitative outcomes. Although additional exploration of the sufficient number of models for different contexts is still needed, our results indicate that it may be possible to identify decision contexts where it is robust to rely on fewer models, a finding that can inform the use of modeling resources during future public health crises.

Keeping distance! How infectious disease threat lowers consumers' attitudes toward densely displayed products

AbstractInfectious diseases have been posing frequent and significant threats to us. However, research on how disease threat affects consumer behavior, especially sensory responses, is still limited. In this study, drawing on the theory of compensatory consumption, we show that consumers under disease threat are less willing to buy products presented in a dense display. This is because disease threat activates a high‐density avoidance mindset, which is carried over to the way in which products are placed. Moreover, this effect is mitigated when diseases are noninfectious or when disinfectant products are displayed. A set of four studies, which adopt lab and field settings, using different manipulations and measures, provide convergent evidence for these effects. Specifically, Study 1 examines the main effect of disease threat on product display. Study 2 tests the mediating role of high‐density avoidance mindset as well as the moderating role of disease infectiousness. Study 3 proceeds to explore product type as the other boundary condition. Finally, Study 4 provides real world evidence through a field experiment. Furthermore, in these studies, five alternative explanations were ruled out to further clarify the psychological process. These findings offer valuable insights for retailers regarding product display strategies.

Diversity of selected toll-like receptor genes in cheetahs (Acinonyx jubatus) and African leopards (Panthera pardus pardus)

The anthropogenic impact on wildlife is ever increasing. With shrinking habitats, wild populations are being pushed to co-exist in proximity to humans leading to an increased threat of infectious diseases. Therefore, understanding the immune system of a species is key to assess its resilience in a changing environment. The innate immune system (IIS) is the body’s first line of defense against pathogens. High variability in IIS genes, like toll-like receptor (TLR) genes, appears to be associated with resistance to infectious diseases. However, few studies have investigated diversity in TLR genes in vulnerable species for conservation. Large predators are threatened globally including leopards and cheetahs, both listed as 'vulnerable' by IUCN. To examine IIS diversity in these sympatric species, we used next-generation-sequencing to compare selected TLR genes in African leopards and cheetahs. Despite differences, both species show some TLR haplotype similarity. Historic cheetahs from all subspecies exhibit greater genetic diversity than modern Southern African cheetahs. The diversity in investigated TLR genes is lower in modern Southern African cheetahs than in African leopards. Compared to historic cheetah data and other subspecies, a more recent population decline might explain the observed genetic impoverishment of TLR genes in modern Southern African cheetahs. However, this may not yet impact the health of this cheetah subspecies.

Cause for coercion: cause for concern?

In his 2000 book, From Chaos to Coercion: Detention and the Control of Tuberculosis, Richard Coker makes a number of important observations and arguments regarding the use of coercive public health measures in response to infectious disease threats. In particular, Coker argues that we have a tendency to neglect public health threats and then demand immediate action, which can leave policymakers with fewer effective options and may require (or may be perceived as requiring) more aggressive, coercive measures to achieve public health goals. While Coker makes a convincing case as to why we should find it ethically problematic when governments find themselves in this position and resort to coercion, left outstanding is the question of whether this should preclude governments and health authorities from using coercion if and when they do find themselves in this position. In this paper, I argue that, while we should consider it ethically objectionable when governments resort to coercion because they have neglected a public health threat, its causes, and other possible responses to that threat, this should not then necessarily rule out the use of coercion in such circumstances; that there are ethically objectionable antecedents for why coercion is being considered should not necessarily or automatically cause us to think coercion in such cases cannot be justified. I address an objection to this argument and draw several conclusions about how governments' use of coercion in public health should be evaluated.

Methods for the estimation of direct and indirect vaccination effects by combining data from individual- and cluster-randomized trials.

Both individually and cluster randomized study designs have been used for vaccine trials to assess the effects of vaccine on reducing the risk of disease or infection. The choice between individually and cluster randomized designs is often driven by the target estimand of interest (eg, direct versus total), statistical power, and, importantly, logistic feasibility. To combat emerging infectious disease threats, especially when the number of events from one single trial may not be adequate to obtain vaccine effect estimates with a desired level of precision, it may be necessary to combine information across multiple trials. In this article, we propose a model formulation to estimate the direct, indirect, total, and overall vaccine effects combining data from trials with two types of study designs: individual-randomization and cluster-randomization, based on a Cox proportional hazards model, where the hazard of infection depends on both vaccine status of the individual as well as the vaccine status of the other individuals in the same cluster. We illustrate the use of the proposed model and assess the potential efficiency gain from combining data from multiple trials, compared to using data from each individual trial alone, through two simulation studies, one of which is designed based on a cholera vaccine trial previously carried out in Matlab, Bangladesh.

Unmasking nipah: India’s battle against an emerging pathogen

The emergence of the Nipah virus as an infectious disease threat necessitates a thorough examination of India's multifaceted response. This commentary delves into India's tenacious battle against the Nipah virus, offering a detailed exploration of its response efforts, key lessons, and an extensive set of future recommendations. As a zoonotic pathogen originating in fruit bats, the Nipah virus presents a profound challenge to healthcare systems, demanding a comprehensive and adaptable strategy.

Constitutive Activation of RpoH and the Addition of L-arabinose Influence Antibiotic Sensitivity of PHL628 E. coli.

Antibiotics are used to combat the ever-present threat of infectious diseases, but bacteria are continually evolving an assortment of defenses that enable their survival against even the most potent treatments. While the demand for novel antibiotic agents is high, the discovery of a new agent is exceedingly rare. We chose to focus on understanding how different signal transduction pathways in the gram-negative bacterium Escherichia coli (E. coli) influence the sensitivity of the organism to antibiotics from three different classes: tetracycline, chloramphenicol, and levofloxacin. Using the PHL628 strain of E. coli, we exogenously overexpressed two transcription factors, FliA and RpoH.I54N (a constitutively active mutant), to determine their influence on the minimum inhibitory concentration (MIC) and minimum duration of killing (MDK) concentration for each of the studied antibiotics. We hypothesized that activating these pathways, which upregulate genes that respond to specific stressors, could mitigate bacterial response to antibiotic treatment. We also compared the exogenous overexpression of the constitutively active RpoH mutant to thermal heat shock that has feedback loops maintained. While FliA overexpression had no impact on MIC or antibiotic tolerance, RpoH.I54N overexpression reduced the MIC for tetracycline and chloramphenicol but had no independent impact on antibiotic tolerance. Thermal heat shock alone also did not affect MIC or antibiotic tolerance. L-arabinose, the small molecule used to induce expression in our system, unexpectedly independently increased the MICs for tetracycline (>2-fold) and levofloxacin (3-fold). Additionally, the combination of thermal heat shock and arabinose provided a synergistic, 5-fold increase in MIC for chloramphenicol. Arabinose increased the tolerance, as assessed by MDK99, for chloramphenicol (2-fold) and levofloxacin (4-fold). These experiments highlight the potential of the RpoH pathway to modulate antibiotic sensitivity and the emerging implication of arabinose in enhanced MIC and antibiotic tolerance.

Salience of infectious diseases did not increase xenophobia during the COVID-19 pandemic.

Multiple proposals suggest that xenophobia increases when infectious disease threats are salient. The current longitudinal study tested this hypothesis by examining whether and how anti-immigrant sentiments varied in the Netherlands across four time points during the COVID-19 pandemic (May 2020, February 2021, October 2021 and June 2022 through Flycatcher.eu). The results revealed that (1) anti-immigrant sentiments were no higher in early assessments, when COVID-19 hospitalizations and deaths were high, than in later assessments, when COVID-19 hospitalizations were low, and (2) within-person changes in explicit disease concerns and disgust sensitivity did not relate to anti-immigrant sentiments, although stable individual differences in disgust sensitivity did. These findings suggest that anecdotal accounts of increased xenophobia during the pandemic did not generalize to the population sampled from here. They also suggest that not all increases in ecological pathogen threats and disease salience increase xenophobia.

CRISPR/Cas12a antifouling nanocomposite electrochemical biosensors enable amplification-free detection of Monkeypox virus in complex biological fluids.

The escalating global threat of infectious diseases, including monkeypox virus (MPXV), necessitates advancements in point-of-care diagnostics, moving beyond the constraints of conventional methods tethered to centralized laboratories. Here, we introduce multiple CRISPR RNA (crRNA)-based biosensors that can directly detect MPXV within 35 minutes without pre-amplification, leveraging the enhanced sensitivity and antifouling attributes of the BSA-based nanocomposite. Multiple crRNAs, strategically targeting diverse regions of the F3L gene of MPXV, are designed and combined to amplify Cas12a activation and its collateral cleavage of reporter probes. Notably, our electrochemical sensors exhibit the detection limit of 669 fM F3L gene without amplification, which is approximately a 15-fold improvement compared to fluorescence detection. This sensor also shows negligible changes in peak current after exposure to complex biological fluids, such as whole blood and serum, maintaining its sensitivity at 682 fM. This sensitivity is nearly identical to the conditions when only the F3L gene was present in PBS. In summary, our CRISPR-based electrochemical biosensors can be utilized as a high-performance diagnostic tool in resource-limited settings, representing a transformative leap forward in point-of-care testing. Beyond infectious diseases, the implications of this technology extend to various molecular diagnostics, establishing itself as a rapid, accurate, and versatile platform for detection of target analytes.

New Research Studies Future Treatments on Marburg Virus

Marburg virus disease (MVD), formerly known as Marburg haemorrhagic fever, is a severe, often fatal illness in humans. The virus causes severe viral haemorrhagic fever in humans. The identification of the natural reservoir of this virus should also foster the development health measures and prevention campaigns to the population to reduce the apparition and emergence of potential outbreaks of hemorrhagic fever. The emergence of Marburg virus (MARV) in Guinea and Ghana triggered the assembly of the MARV vaccine “MARVAC” consortium representing leaders in the field of vaccine research and development aiming to facilitate a rapid response to this infectious disease threat. While much is being investigated to devise a vaccine, it is important to educate Health Care Workers (HCWs) and close contacts facing the illness

One Health approach and zoonotic diseases in Indonesia: Urgency of implementation and challenges.

The urgency of implementing the One Health approach to overcome zoonotic diseases cannot be overstated. By recognizing the interconnectedness of human health, animal health, and the environment, we can effectively prevent and respond to emerging infectious disease threats. This review article provides information on the importance of generating research on zoonotic diseases, especially in Indonesia, where research is still relatively scarce. The Indonesian government has taken steps to implement the One Health by establishing the One Health Coordinating Unit and the National Zoonosis Committee; however, implementation has not been optimal. The urgency and challenges are focused on critical implementation aspects in the community. The urgency of implementing One Health includes that Indonesia has experienced several outbreaks of zoonotic diseases; high environmental degradation; and the antimicrobial resistance issue in Indonesia has increased. The challenges faced in implementing One Health are overcoming fragmentation due to incohesive communication between important sectors, securing funding and resource investment, aligning policies to eliminate regulation barriers, capacity building to increase awareness and professionals, and addressing critical socioeconomic factors. By prioritizing implementing the One Health approach and addressing existing challenges, Indonesia can build a more resilient and integrated system to protect the well-being of all species, protect ecosystems, and prevent the devastating effects of zoonotic diseases on global health. In this review, we present the urgency of One Health implementation and its challenges comprehensively.

Dihydrobenzoimidazothiazoles as novel anti-infective agents: Synthesis, biological evaluation and docking studies

Finding safer, more powerful and more effective molecules is urgently needed given the rising threat of infectious diseases. Benzoimidazothiazole are a novel class of small molecules that have not been studied on a variety of pharmacological targets. In this report, we discussed novel dihydrobenzo-imidazothiazole scaffold as promising anti-infective agents. Commercially available 1,3-cyclohexane-diones (1a–h) were brominated before being condensed with thiourea to produce 2-amino-5,6-dihydrobenzo[d]thiazol-7(4H)-ones (3a–h) in excellent yields. Compounds 3a-h were cyclized with 2‑bromo-1-(5-chlorothiophen-2-yl)ethan-1-one (4) to produce 2-(5-chlorothiophen-2-yl)-6,7-dihydrobenzo[d]Imidazo [2,1-b]thiazol-8(5H)-ones (5a-h). When synthetic analogues 3a-h and 5a-h were examined for biological activity, they showed effective inhibition against the tested antiviral and antibacterial strains. Two analogues, 3h (CC50: >300 µM, IC50= 8.3 µM, SI = >36) and 5h (CC50: >300 µM, IC50= 4.1 µM, SI = >73) had high levels of virus-inhibiting action when tested against the pandemic influenza virus A/Puerto Rico/8/34 (H1N1) in MDCK cells with favorable toxicity profile. Among the substances tested against bacterial strains, 3d inhibited Typhi, Subtills, and Mutans bacteria with MICs of 0.78 µM and E. coli with MICs of 1.56 µM against standard streptomycin (MIC:1.56 µM). The novel analogues' physiochemical and molecular docking tests revealed promising pharmacological profiles for further structural optimization and drug development.

Managing the threat of infectious disease in fisheries and aquaculture using structured decision making

Fisheries and aquaculture provide food and economic security, especially in the developing world, but both face challenges from infectious disease. Here, we consider management of disease issues from a structured decision‐making perspective to examine how infectious disease can threaten seafood production and influence management decisions. For both wild fisheries and aquaculture, disease‐management objectives generally aim to mitigate the severity and economic burden of outbreaks. General management strategies include manipulating host densities, reducing system connectivity, conserving or improving habitat, and implementing direct treatments or some other biological interventions. To inform decisions, mathematical models can be used to explore disease dynamics and to forecast the potential effectiveness of alternative management actions. Developing and implementing disease‐management strategies also involve considering uncertainties and balancing competing stakeholder interests and risk tolerances. We conclude by outlining several steps for applying structured decision making that are broadly useful to decision makers facing issues related to disease.

Protocol for the Mpox Prospective Observational Cohort Study (MPOCS) Among Individuals with mpox in Canada

In mid-2022, a global mpox epidemic emerged that was concentrated in gay, bisexual and other men who have sex with men, prompting the WHO to declare a public health emergency of international concern. Shortly after cases were first identified in Canada, we established the Mpox Prospective Observational Cohort Study (MPOCS) to characterize clinical, psychosocial, epidemiologic and virologic characteristics of this re-emerging infection. Community members were engaged in identifying research priorities, creating participant-facing materials, and forming a community advisory board. This article outlines the MPOCS study protocol. Although cases of mpox in Canada have rapidly declined, our research procedures may serve as a template for rapidly studying emerging infectious disease threats in the future, particularly among sexual networks.

The bibliometric landscape of infectious disease research in Panama (1990-2019).

This work aims to analyze the landscape of scientific publications on subjects related to One Health and infectious diseases in Panama. The research questions are: How does the One Health research landscape look like in Panama? Are historical research efforts aligned with the One Health concept? What infectious diseases have received more attention from the local scientific community since 1990? Boolean searches on the Web of Science, SCOPUS and PubMed were undertaken to evaluate the main trends of publications related to One Health and infectious disease research in the country of Panama, between 1990 and 2019. 4546 publications were identified since 1990, including 3564 peer-reviewed articles interconnected with One Health related descriptors, and 211 articles focused particularly on infectious diseases. A pattern of exponential growth in the number of publications with various contributions from Panamanian institutions was observed. The rate of multidisciplinary research was moderate, whereas those of interinstitutional and intersectoral research ranged from low to very low. Research efforts have centered largely on protozoan, neglected and arthropod-borne diseases with a strong emphasis on malaria, Chagas and leishmaniasis. Panama has scientific capabilities on One Health to tackle future infectious disease threats, but the official collaboration schemes and strategic investment to develop further competencies need to be conciliated with modern times, aka the pandemics era. The main proposition here, addressed to the government of Panama, is to launch a One Health regional center to promote multidisciplinary, interinstitutional and intersectoral research activities in Panama and beyond.

Public Health Behavior Change Communication Strategies in Accelerating the Reduction of Stunting in North Minahasa Regency

Communication Strategy for Community Health Behavior Change in Accelerating Stunting Reduction in North Minahasa Regency, through aspects (1) Announcing: socialization and counseling to pregnant women and parents who have children under 5 years old through lectures, presentations and questions and answers. (2) Motivating: Pay attention to nutritional intake, Conduct regular health checks for pregnant women and toddlers, Overcome the problem of children having difficulty eating by providing variants in food, Maintain environmental sanitation, provide education to pregnant and lactating women in the "Hope of the Lover of the Heart" program, Carry out complete vaccination of babies born as recommended. (3) Educating: Education on proper and nutritious eating patterns with the "Fill the Plate" program in a Canteen. Parenting education Education risks the threat of infectious diseases if not using sanitation and clean water. (4) Information Dissemination (Informing): Directly by means of socialization with verbal communication, also using paflet media, posters and videos. (5) Supporting decision making: Supported by the PPKB Office, Health Office, Social Service, PMD, Food Office, Disdukcapil, Private Sector, TP-PKK, TNI. Communication Strategy for Public Health Behavior Change in Accelerating Stunting Reduction contributes to increasing public knowledge and sustainable social strengthening through efforts to accelerate stunting reduction.

Emerging infectious diseases, focus on infection prevention, environmental survival and germicide susceptibility: SARS-CoV-2, Mpox, and Candida auris

BackgroundNew and emerging infectious diseases continue to represent a public health threat. Emerging infectious disease threats include pathogens increasing in range (eg, Mpox), zoonotic microbes jumping species lines to cause sustained infections in humans via person-to-person transmission (SARS-CoV-2) and multidrug-resistant pathogens (eg, Candida auris). Materials and MethodsWe searched the published English literature and reviewed the selected articles on SARS-CoV-2, Mpox, and Candida auris with a focus on environmental survival, contamination of the patient's hospital environment, susceptibility of the pathogen to antiseptics and disinfectants and infection prevention recommendations. ResultsAll three pathogens (ie, SARS-CoV-2, Mpox, and Candida auris) can survive on surfaces for minutes to hours and for Mpox and C auris for days. Currently available antiseptics (eg, 70%-90% alcohol hand hygiene products) are active against SARS-CoV-2, Mpox and C auris. The U.S Environmental Protection Agency provides separate lists of surface disinfectants active against SARS-CoV-2, Mpox, and C auris. DiscussionThe risk of environment-to-patient transmission of SARS-CoV-2, Mpox and Candida auris, is very low, low-moderate and high, respectively. In the absence of appropriate patient isolation and use of personal protection equipment, the risk of patient-to-health care provider transmission of SARS-CoV-2, Mpox, and C auris is high, moderate and low, respectively. ConclusionsAppropriate patient isolation, use of personal protective equipment by health care personnel, hand hygiene, and surface disinfection can protect patients and health care personnel from acquiring SARS-CoV-2, Mpox, and C auris from infected patients.

Infectious disease control: from health security strengthening to health systems improvement at global level

Since the twenty first century, the outbreaks of global infectious diseases have caused several public health emergencies of international concern, imposing an enormous impact on population health, the economy, and social development. The COVID-19 pandemic has once again exposed deficiencies in existing global health systems, emergency management, and disease surveillance, and highlighted the importance of developing effective evaluation tools. This article outlines current challenges emerging from infectious disease control from the perspective of global health, elucidated through influenza, malaria, tuberculosis, and neglected tropical diseases. The discordance among government actors and absent data sharing platforms or tools has led to unfulfilled targets in health system resilience and a capacity gap in infectious disease response. The current situation calls for urgent action to tackle these threats of global infectious diseases with joined forces through more in-depth international cooperation and breaking governance barriers from the purview of global health. Overall, a systematic redesign should be considered to enhance the resilience of health systems, which warrants a great need to sustain capacity-building efforts in emergency preparedness and response and raises an emerging concern of data integration in the concept of One Health that aims to address shared health threats at the human-animal-environment interface.