Monophasic variant of Salmonella Typhimurium 4,[5],12:i:- outbreak: an investigation by the Competent Authority.

Foodborne diseases represent a significant public health issue, regarding both collective health and the economy, with implications for healthcare costs and agribusiness. This paper shows the description and results of the investigation of a Salmonella enterica subsp. enterica foodborne outbreak that occurred in the Marche Region (Italy) in 2022, which was linked to the consumption of a roasted pork product (porchetta). As part of the outbreak investigations discussed in this article, molecular analysis to evaluate the genomic correlation between clinical, food, and environmental origin strains was carried out. All Salmonella strains of different origins were serotyped as monophasic variant of Salmonella Typhimurium with an antibiotic-resistance pattern and an allelic profile such as to define the "cluster strain" allowing the correlation between clinical and food/environmental strains, definitively confirmed by whole genome sequencing analysis. Following the laboratory evidence, corrective measures at the porchetta processing plant and at the retail stores involved were carried out by the Local Animal Based Food Hygiene Service. The results of this study show that effective intervention is only possible if efficient data exchange, standardized procedures, and staff training are guaranteed. The latter aspect also concerns the food business operator, who must take appropriate measures to minimize the risk.

Co-creating a Mpox Elimination Campaign in the WHO European Region: The Central Role of Affected Communities.

Between May 2022 and September 2023, the World Health Organization (WHO) Regional Office for Europe engaged in a collaborative effort with affected communities to address the outbreak of mpox in the region. This concerted endeavor led to the development of a risk communication campaign specifically tailored to address the perceptions and needs of the target audience, thereby contributing to the control and the long-term goal of mpox elimination. Various community engagement interventions were implemented, including the establishment of an informal civil society organizations' working group to provide feedback on the WHO mpox campaign, webinars targeting event organizers, and roundtable discussions with country-level responders. The invaluable feedback garnered from the community was utilized to customize materials and extend outreach to groups that may have been overlooked in the initial response. This successful initiative underscored the immense potential of placing communities at the forefront of emergency response efforts, equipping them with the necessary resources, engagement, and empowerment. This offers 1 model of co-creation that can be applied to health emergencies. It is asserted that the pivotal role played by communities in this response should be recognized as a valuable lesson and incorporated into all emergency responses, ensuring sustained community involvement and empowerment throughout the entire emergency cycle.

Determinants of Citizens' Intention to Participate in Self-Led Contact Tracing: Cross-Sectional Online Questionnaire Study.

BACKGROUND: Contact tracing (CT) is a key intervention to contain outbreaks of communicable diseases. During large-scale outbreaks, public health services may lack the resources required to perform CT effectively. One way of mitigating this issue is to shift some of the tasks in CT normally performed by public health services to cases and their contacts, supported by digital tools. We refer to this as "self-led CT." However, while the effectiveness of the self-led CT inherently depends on the willingness and skills of citizens to participate, the determinants of citizens' intention to participate in self-led CT are not yet fully understood. OBJECTIVE: We aimed to identify determinants of Dutch citizens' intention to participate in self-led CT and assess their potential for behavioral change, so as to identify "behavior change targets," which may be used in the development and implementation of self-led CT to increase citizens' intention to participate. METHODS: In March 2022, we performed an online cross-sectional questionnaire study. The questionnaire was developed based on findings from a previous exploratory semistructured interview study and distributed among a Dutch consumer panel. Using all questionnaire items as potential predictors, we performed a random forest analysis to identify determinants of citizens' intention to participate in self-led CT. We then performed an Agglomerative Hierarchical Cluster Analysis to identify groups of related determinants that may be considered overarching behavior change targets. Finally, we used Confidence Interval-Based Estimation of Relevance and calculated the Potential for Change Indices to compare the potential for behavioral change of the selected individual determinants and determinant clusters. RESULTS: The questionnaire was completed by 3019 respondents. Our sample is representative of the Dutch population in terms of age, gender, educational level, and area of residence. Out of 3019 respondents, 2295 (76%) had a positive intention to participate in self-led CT. We identified 20 determinants of citizens' intention that we grouped into 9 clusters. In general, increasing citizens' trust in the digital tools developed for self-led CT has the highest potential to increase citizens' intention, followed by increasing the belief that using digital tools makes participating in self-led CT easier, reducing privacy-related concerns, and increasing citizens' willingness-and sense of responsibility-to cooperate in CT in general. CONCLUSIONS: Overall, Dutch citizens are positive toward participating in self-led CT. Our results provide directions for the development and implementation of self-led CT, which may be particularly useful in preparing for future, large-scale outbreaks.

Brucellosis outbreak in a remote village in northwestern Tajikistan in 2023: a matched case-control study.

Background: A sharp increase in reported brucellosis incidence was observed in northwestern Tajikistan (from 1.0/100,000 people in January-May 2022 to 32.7/100,000 in January-May 2023). Most (82%) cases were from the same remote mountainous village (population = 10,712). The aim of this study was to identify risk factors for brucellosis infection and mitigate disease risk. Methods: Using a case-control design, we conducted face-to-face interviews and collected blood samples during May-June 2023. Fifty-seven cases and 114 controls were recruited. Cases were the first person in a household diagnosed with brucellosis during February-June 2023 with positive serum agglutination test and antibody titers ≥1/160 from blood samples. Two controls were selected for each case (neighbors from different households matched by age and sex). Controls testing positive were excluded and replaced. We conducted conditional multivariable logistic regression to calculate adjusted odds ratio (AOR) and 95% confidence intervals (CI). Results: Among the 87 brucellosis patients reported, 57 (66%) agreed to participate and didn't have secondary cases in the household. Of the 57 cases, 68% were 15-44 years old, and 44% were male. Cases peaked in May 2023. Common symptoms were joint pain (95%), fever (84%), weakness (72%), and night sweats (65%). Of selected controls, 13% tested positive and were excluded. All cases and 94% of controls owned livestock (mostly cattle, sheep, or goats); no animals had not been vaccinated in the past 5 years. Brucellosis was associated with consumption of both homemade kaymak (clotted cream) and home-raised meat compared with neither (AOR: 59 [95%CI: 4.3-798], p < 0.01), home-raised meat but not kaymak compared with neither (AOR: 54 [4.0-731], p < 0.01), and involvement in animal slaughter compared with no involvement (AOR: 36 [2.8-461], p < 0.01). Conclusion: Contact with unvaccinated livestock or consumption of their products was a key contributor to this outbreak in a remote village of Tajikistan. With 13% of controls testing positive, true incidence was likely greater than reported. Following our investigation, a brucellosis awareness education campaign and animal vaccination campaigns were carried out in the region and only one case was reported in September 2023.

Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study.

BACKGROUND: During the peak of the winter 2020-2021 surge, the number of weekly reported COVID-19 outbreaks in Washington State was 231; the majority occurred in high-priority settings such as workplaces, community settings, and schools. The Washington State Department of Health used automated address matching to identify clusters at health care facilities. No other systematic, statewide outbreak detection methods were in place. This was a gap given the high volume of cases, which delayed investigations and decreased data completeness, potentially leading to undetected outbreaks. We initiated statewide cluster detection using SaTScan, implementing a space-time permutation model to identify COVID-19 clusters for investigation. OBJECTIVE: To improve outbreak detection, the Washington State Department of Health initiated a systematic cluster detection model to identify timely and actionable COVID-19 clusters for local health jurisdiction (LHJ) investigation and resource prioritization. This report details the model's implementation and the assessment of the tool's effectiveness. METHODS: In total, 6 LHJs participated in a pilot to test model parameters including analysis type, geographic aggregation, cluster radius, and data lag. Parameters were determined through heuristic criteria to detect clusters early when they are smaller, making interventions more feasible. This study reviews all clusters detected after statewide implementation from July 17 to December 17, 2021. The clusters were analyzed by LHJ population and disease incidence. Clusters were compared with reported outbreaks. RESULTS: A weekly, LHJ-specific retrospective space-time permutation model identified 2874 new clusters during this period. While the weekly analysis included case data from the prior 3 weeks, 58.25% (n=1674) of all clusters identified were timely-having occurred within 1 week of the analysis and early enough for intervention to prevent further transmission. There were 2874 reported outbreaks during this same period. Of those, 363 (12.63%) matched to at least one SaTScan cluster. The most frequent settings among reported and matched outbreaks were schools and youth programs (n=825, 28.71% and n=108, 29.8%), workplaces (n=617, 21.46% and n=56, 15%), and long-term care facilities (n=541, 18.82% and n=99, 27.3%). Settings with the highest percentage of clusters that matched outbreaks were community settings (16/72, 22%) and congregate housing (44/212, 20.8%). The model identified approximately one-third (119/363, 32.8%) of matched outbreaks before cases were associated with the outbreak event in our surveillance system. CONCLUSIONS: Our goal was to routinely and systematically identify timely and actionable COVID-19 clusters statewide. Regardless of population or incidence, the model identified reasonably sized, timely clusters statewide, meeting the objective. Among some high-priority settings subject to public health interventions throughout the pandemic, such as schools and community settings, the model identified clusters that were matched to reported outbreaks. In workplaces, another high-priority setting, results suggest the model might be able to identify outbreaks sooner than existing outbreak detection methods.

Clinical and Genomic Epidemiology of Coxsackievirus A21 and Enterovirus D68 in Homeless Shelters, King County, Washington, USA, 2019-2021.

Congregate homeless shelters are disproportionately affected by infectious disease outbreaks. We describe enterovirus epidemiology across 23 adult and family shelters in King County, Washington, USA, during October 2019-May 2021, by using repeated cross-sectional respiratory illness and environmental surveillance and viral genome sequencing. Among 3,281 participants >3 months of age, we identified coxsackievirus A21 (CVA21) in 39 adult residents (3.0% [95% CI 1.9%-4.8%] detection) across 7 shelters during October 2019-February 2020. We identified enterovirus D68 (EV-D68) in 5 adult residents in 2 shelters during October-November 2019. Of 812 environmental samples, 1 was EV-D68-positive and 5 were CVA21-positive. Other enteroviruses detected among residents, but not in environmental samples, included coxsackievirus A6/A4 in 3 children. No enteroviruses were detected during April 2020-May 2021. Phylogenetically clustered CVA21 and EV-D68 cases occurred in some shelters. Some shelters also hosted multiple CVA21 lineages.

Epidemiological and clinical features of a large blastomycosis outbreak at a paper mill in Michigan.

BACKGROUND: Blastomycosis is an environmentally acquired fungal infection that can result in severe pulmonary illness and high hospitalization rates. In 2023, a blastomycosis outbreak was detected among workers at a paper mill in Delta County, Michigan. METHODS: We included patients with clinical and laboratory evidence of blastomycosis who had spent ≥40 hours in Delta County since September 1, 2022 and had illness onset December 1, 2022-July 1, 2023. We assessed epidemiological and clinical features of patients and evaluated factors associated with hospitalization. We performed whole-genome sequencing to characterize genetic relatedness of clinical isolates from eight patients. RESULTS: In total, 131 patients were identified; all had worked at or visited the mill. Sixteen patients (12%) were hospitalized; one died. Compared with non-hospitalized patients, more hospitalized patients had diabetes (p=0.03) and urine antigen titers above the lower limit of quantification (p<0.001). Hospitalized patients were also more likely to have had ≥1 healthcare visits before receiving a blastomycosis diagnostic test (p=0.02) and to have been treated with antibiotics prior to antifungal prescription (p=0.001). All sequenced isolates were identified as Blastomyces gilchristii and clustered into a distinct outbreak cluster. CONCLUSIONS: This was the largest documented blastomycosis outbreak in the United States. Epidemiologic evidence indicated exposures occurred at or near the mill, and genomic findings suggested a common exposure source. Patients with diabetes may have increased risk for hospitalization, and elevated urine antigen titers could indicate greater disease severity. Early suspicion of blastomycosis may prompt earlier diagnosis and treatment, potentially reducing unnecessary antibiotic prescriptions and improving patient outcomes.

Mutated Adenovirus Attacks in West Bengal, India: Risk Evaluation of Multi-Country Outbreaks and Mitigation Strategies.

AIM: The human adenovirus (HAdV) is beginning to spread rapidly in children through human, surface and animal vectors. Around 12,000 cases were recognised in 2022 in West Bengal and a shocking number of cases arose throughout India and in other under-developed areas. This is going to be a big threat to public health since no vaccine, awareness or protocol policies were introduced. Early detection, immediate isolation and proper policy developments are the key factors in overcoming the situation. Therefore, we performed this rapid review and discussed probable mitigation strategies, updated research on vaccine development, and treatment strategies to control the outbreaks of mutated HAdV. DESIGN: This is a narrative review of publicly available information. METHODS: Here, we extracted updated information and data using the terms HAdV outbreaks, mutations, species, risks and prevention from Google Scholar and PubMed. We considered relevant articles that have discussed prevention strategies, ongoing research, and antiviral drugs for managing HAdV outbreaks. RESULTS: Early detection from throat swabs, isolation and symptomatic treatments are required to minimise viral infections. A massive test needs to be performed to find the affected people. The cases should be immediately isolated. It is recommended to treat high-touch surfaces with heat- or bleach-containing cleaners to prevent the spread of infection. Oxygen support and many broad-spectrum antivirals have been used to treat HAdV. Several studies showed antibody neutralisation and interactions between the natural killer cell receptor KIR3DS1 and HLA-F in infected cells, indicating possible therapeutic options in the future. HAdV-4 and HAdV-7 vaccines have been limitedly approved for administration to military personnel. CONCLUSION: Isolation, certain safety measures, broad-spectrum antiviral drugs and further research on new vaccines could be useful to prevent this virus from producing a worldwide pandemic. Also, the authorities should ensure the proper therapeutic interventions and nursing care facilities for the infected children. PATIENT OR PUBLIC CONTRIBUTION: Patient or public contribution was not relevant to our work.

Chlorine Inactivation of Elizabethkingia spp. in Water.

We performed chlorine inactivation experiments for Elizabethkingia anophelis and E. meningoseptica bacterial strains from clinical and environmental sources. Free chlorine concentration × contact time values <0.04 mg·min/L achieved 99.9% inactivation of Elizabethkingia species, indicating chlorine susceptibility. Measures to control biofilm producing pathogens in plumbing are needed to prevent Elizabethkingia bacterial infections.

Outbreak-associated Salmonella Baildon found in wastewater demonstrates how sewage monitoring can supplement traditional disease surveillance.

Non-typhoidal Salmonella is a common cause of gastroenteritis worldwide, but current non-typhoidal Salmonella surveillance is suboptimal. Here, we evaluated the utility of wastewater monitoring to enhance traditional surveillance for this foodborne pathogen. In June 2022, we tested raw sewage collected twice a week from two treatment plants in central Pennsylvania for non-typhoidal Salmonella and characterized isolates using whole-genome sequencing. We recovered 43 Salmonella isolates from wastewater samples, differentiated by genomic analysis into seven serovars: 16 Panama (37.2%), 9 Senftenberg (20.9%), 8 Baildon (18.6%), and 3 or fewer of four other serovars. We assessed genetic relatedness and epidemiologic links between these wastewater isolates with those from patients with salmonellosis. All S. Baildon isolates from wastewater were genetically similar to those associated with a known contemporaneous salmonellosis outbreak. S. Baildon from wastewater and 42 outbreak-related isolates in the national outbreak detection database had the same core genome multilocus sequence typing, and outbreak code differed by zero or one single polynucleotide polymorphism. One of the 42 outbreak-related isolates was obtained from a patient residing in the wastewater sample collection catchment area, which serves approximately 17000 people. S. Baildon is a rare serovar (reported in <1% cases nationally, over five years). Our study underscores the value of monitoring sewage from a defined population to supplement traditional surveillance methods for the evidence of Salmonella infections and to determine the extent of outbreaks.IMPORTANCEDuring the COVID-19 pandemic, monitoring for SARS-CoV-2 in wastewater was highly effective in identifying the variants of concern earlier than clinical surveillance methods. Here, we show that monitoring domestic sewage can also augment traditional reporting of foodborne illnesses to public health authorities. Our study detected multiple Salmonella enterica serovars in samples from two wastewater treatment plants in central Pennsylvania. Using whole-genome sequencing, we demonstrated that the isolates of variant S. Baildon clustered with those from a foodborne salmonellosis outbreak that occurred in a similar time frame. Cases were primarily from Pennsylvania, and one individual lived within the wastewater treatment catchment area. This study highlights the effectiveness of domestic sewage testing as a proactive public health strategy to track and respond to infectious disease outbreaks.

Molecular Aspects of the Monkeypox Virus and their Impact on the Virus's Change in Epidemiology.

OBJECTIVE: Monkeypox is a viral zoonotic disease endemic to West and Central Africa; it has been reported in more countries during the last decade than in the previous 40 years. In 2022 a multinational outbreak occurred. This change in the epidemiology of the virus may represent an evolutionary adaptation. The purpose of this study is to analyze the molecular aspects of Monkeypox virus (MPXV) disease that may explain the latter's change in epidemiology during the 2022 outbreak. METHODS: From July 2022 through December 2022, the period of the outbreak, a narrative review was conducted on the available literature, with a total of 271 articles published in the MEDLINE/PubMed and LILACS databases being examined. The chosen articles were organized using the search and reference manager Mendeley Desktop 1.19.4. Duplicates and articles that did not meet the study's objective were eliminated, resulting in the selection of 49 articles for the present review. DISCUSSION: MPXV resurgence poses challenges due to waning immunity and changing epidemiological patterns. Recent outbreaks show different transmission routes, affecting new demographics. Genomic evolution, vaccination history, and potential new animal reservoirs complicate containment efforts. Continued surveillance and vaccination are crucial for control. CONCLUSIONS: It seems possible that MPXV has (re-)emerged to occupy the ecological niche left by the smallpox virus. Mutations of the apolipoprotein B mRNA editing enzyme, catalytic subunit 3G motif, in MPXV clade IIb since 2017 may explain the epidemiological change that has occurred in recent years. This pattern could be due to sustained transmission in a new host or a new route of infection.

Epidemiology of sporadic and outbreak-associated hepatitis A infections in Ontario, Canada: A descriptive summary, 2015-2022.

Background: Hepatitis A is a disease of public health significance that typically causes acute, self-limiting infection. Understanding the risk factors and demographics associated with individual infections and outbreaks can guide public health communication and interventions. Objective: To assess the number of hepatitis A cases and outbreaks in Ontario from January 1, 2015, to November 22, 2022, and to identify common risk factors associated with sporadic and outbreak-associated infections in Ontario. Methods: Confirmed and probable hepatitis A cases reported between January 1, 2015, and November 22, 2022, were extracted from the Ontario electronic reporting system. Descriptive analyses were used to summarize and compare risk factors reported by sporadic and outbreak-associated hepatitis A cases. Annual rates of infection for individual public health units were calculated using annual population estimates for Ontario health regions. Results: During the study period, 938 cases of hepatitis A were reported in Ontario (an average annual rate of 0.9 cases per 100,000 population), with 31.3% (n=294) of cases linked to one of 18 unique outbreaks of hepatitis A. Four of 13 local outbreaks were associated with elementary school settings. Reported risk factors differed between sporadic cases (predominantly travel-related) and cases linked to known outbreaks (anal-oral contact, illicit drug use, diapering/assisting in toileting, close contact with a case). Rates of sporadic infection differed across public health units in Ontario over the study period. Conclusion: Public health interventions that aim to increase awareness of hepatitis A risk factors and increase vaccine uptake among those at increased risk of exposure could help to reduce the incidence of both locally acquired and travel-related sporadic infections and outbreaks.

Temporal Trends in Outbreaks of Chandipura Viral Infection in India: A Systematic Review.

Chandipura virus (CHPV) has emerged as a significant cause of acute encephalitis in India, especially affecting pediatric populations. This study aimed to analyze the temporal trends, clinical characteristics, and epidemiological features of CHPV infections reported in outbreaks across India. A comprehensive literature search on CHPV cases was conducted using Google Scholar, PubMed, and the Cochrane Library. Original research studies on laboratory-confirmed clinical cases of CHPV infections, available as full-text articles, were included. Data on outbreak characteristics, clinical presentations, diagnostics, and epidemiological factors were extracted and analyzed. Six studies met the inclusion criteria. The review revealed a geographical expansion of CHPV outbreaks across India over time, with a consistent seasonal pattern (May to September) coinciding with the monsoon season. CHPV predominantly affects children under 15 years of age, presenting with rapid-onset encephalitis characterized by high fever, altered consciousness, and seizures. Case fatality rates were alarmingly high, ranging from 28.6% to 78.3% within the first 48 hours of symptom onset. Diagnostic approaches evolved over the study period, with increasing use of molecular techniques. Entomological investigations consistently identified sandflies, particularly Phlebotomus argentipes, as potential vectors, though their precise role in transmission remains to be fully elucidated. CHPV is an emerging public health threat, especially for children under 15 years. Early diagnosis is crucial, as CHPV is associated with high mortality within the first 24-48 hours of symptom onset. Challenges include limited long-term follow-up data, potential underreporting of mild cases, and gaps in understanding transmission dynamics.

Optimising Clinical Epidemiology in Disease Outbreaks: Analysis of ISARIC-WHO COVID-19 Case Report Form Utilisation.

Standardised forms for capturing clinical data promote consistency in data collection and analysis across research sites, enabling faster, higher-quality evidence generation. ISARIC and the World Health Organization have developed case report forms (CRFs) for the clinical characterisation of several infectious disease outbreaks. To improve the design and quality of future forms, we analysed the inclusion and completion rates of the 243 fields on the ISARIC-WHO COVID-19 CRF. Data from 42 diverse collaborations, covering 1886 hospitals and 950,064 patients, were analysed. A mean of 129.6 fields (53%) were included in the adapted CRFs implemented across the sites. Consistent patterns of field inclusion and completion aligned with globally recognised research priorities in outbreaks of novel infectious diseases. Outcome status was the most highly included (95.2%) and completed (89.8%) field, followed by admission demographics (79.1% and 91.6%), comorbidities (77.9% and 79.0%), signs and symptoms (68.9% and 78.4%), and vitals (70.3% and 69.1%). Mean field completion was higher in severe patients (70.2%) than in all patients (61.6%). The results reveal how clinical characterisation CRFs can be streamlined to reduce data collection time, including the modularisation of CRFs, to offer a choice of data volume collection and the separation of critical care interventions. This data-driven approach to designing CRFs enhances the efficiency of data collection to inform patient care and public health response.

Infectious diseases risk framing in Bulgarian media during early COVID-19 pandemic and the Ebola crisis.

Introduction: Social forces, in conjunction with biological variables, play a crucial role in shaping the overall health of a community, particularly in the context of infectious disease outbreaks. Mass media calibrates risk perception among the public. The present study's aims are to review risk framings in the Bulgarian National Television in the early stages of the COVID-19 pandemic and to compare results with the communication strategies employed when Ebola was exported outside of Africa. The research seeks to provide a quantitative and qualitative understanding of how the media communicated risk during the two crises. It also aims to determine the extent to which messages altered based on the distinct epidemiological characteristics of the two epidemics. Methods: We used interdisciplinary analysis, combining methods from the social sciences and epidemiology. It is based on a controlled study of media content comparing the share and presentation of information on infections during two different outbreaks caused by newly emerging pathogens (in 2014 and 2020), as well as during periods with no specific concern for novel public health threats (JAN 2019 and OCT-NOV 2019). A content analysis was carried out. Results: The findings of the study indicate that during the Ebola crisis, medical frames were used in 92 % of the cases, whereas the majority of the analyzed media coverage of COVID-19 focused on the socio-political frame (97 %). During control periods, the extent of coverage using a medical framework varies between 100 and 86 %. In terms of geographic coverage, the presentation of content followed the principle of proximity. In non-emergency circumstances, clinical practitioners are often preferred candidates for interviews. However, during health crises, the media tends to highlight individuals holding administrative positions and authoritative functions. Conclusion: The present research confirms the hypothesis that public health emergencies increase the volume of infectious disease content on the news. The most frequently selected speaker categories should be briefed timely on outbreak developments in order to feed the media with accurate information.

Outbreak of Vibrio cholerae, Mayotte, France, April to July 2024.

On 22 April 2024, a locally-acquired case of cholera was confirmed in Mayotte. Subsequently, local transmission resulted in eight outbreak clusters with 221 notified cases in densely populated neighbourhoods with limited or no access to drinking water. The last case was detected on 12 July. A case-area targeted intervention strategy was applied to contain the outbreak. However, improving access to drinking water and basic sanitation is crucial to prevent further exposure.

Temporal patterns in coral disease prevalences at Thudufushi Island, Maldives, 2010-2022.

Coral reefs are lately suffering a fast decline in biodiversity due to the coupled effect of climate change and disease outbreaks, which in recent decades have been reported with higher frequency and shorter intervals. Limited studies have been conducted on coral diseases in the Maldives resulting in the impossibility of assessing the temporal trend in their dynamics. In this context, we evaluated the change in the distribution, prevalence, and host range of 4 diseases, namely black band disease (BBD), brown band disease (BrB), skeletal eroding band (SEB) and white syndrome (WS), in the reef system around Thudufushi Island after an interval of 12 yr since the last assessment. In this period, the overall disease prevalence increased, except for BrB, with SEB showing the most severe increase in 2022 in comparison to 2010. The overall average prevalence of coral diseases is approximately 2%, indicating an increase of about 0.7% since 2010. Diseased coral colonies were found in all the investigated sites, with the east site being the most affected and SEB emerging as the most prevalent disease across all the investigated sites. The affected colonies belong to 13 genera, with Psammocora genus showing the highest overall mean disease prevalence. This study depicted a basic temporal trend in disease prevalence that confirms an increase in coral diseases in the region and calls for a dedicated national monitoring protocol to better understand and predict future coral disease dynamics at regional scales.

Integrating mental health and psychosocial support (MHPSS) into infectious disease outbreak response: Results of an expert consensus study.

Objectives: Outbreaks are associated with increased risk of anxiety disorders, depression, and severe mental conditions. Integrating mental health and psychosocial support (MHPSS) into outbreak response facilitates the delivery of holistic care to the affected community. As there is an increasing incidence of outbreaks globally, integrating MHPSS into preparedness and response plans is paramount to strengthen the capacity of existing health systems and respond to mental health and psychosocial needs. However, the attention given to MHPSS during outbreak response is critically low. The objectives of this study were to identify areas of MHPSS integration and explore the challenges that hinder the delivery of an integrated care during outbreak response. Methods: A participatory qualitative study was conducted to explore how MHPSS can be incorporated into outbreak preparedness and response plans as a cross-cutting intervention in the context of low- and middle-income countries. We brought together civil society representatives, key stakeholders, and public health experts to explore areas of MHPSS integration during outbreak response. Results: Systematic integration of MHPSS into outbreak response was perceived to be feasible. Study participants strongly agreed that MHPSS can be integrated into most of the outbreak response pillars including partner coordination, case management, infection prevention and control, staff health and well-being, and risk communication and community engagement. However, the effort requires multi-sectoral collaboration, political commitment, and adequate recognition in planning and financing. Conclusions: Despite complex challenges, integrating MHPSS into outbreak pillars is possible. Moreover, emphasis should be placed on cultural adaptation of MHPSS guidelines and strong leadership in coordinating MHPSS into outbreak planning and response.

A systematic review on Nipah virus: global molecular epidemiology and medical countermeasures development.

Nipah virus (NiV) is an emerging pathogen that causes encephalitis and a high mortality rate in infected subjects. This systematic review aimed to comprehensively analyze the global epidemiology and research advancements of NiV to identify the key knowledge gaps in the literature. Articles searched using literature databases, namely PubMed, Scopus, Web of Science, and Science Direct yielded 5,596 articles. After article screening, 97 articles were included in this systematic review, comprising 41 epidemiological studies and 56 research developments on NiV. The majority of the NiV epidemiological studies were conducted in Bangladesh, reflecting the country's significant burden of NiV outbreaks. The initial NiV outbreak was identified in Malaysia in 1998, with subsequent outbreaks reported in Bangladesh, India, and the Philippines. Transmission routes vary by country, primarily through pigs in Malaysia, consumption of date palm juice in Bangladesh, and human-to-human in India. However, the availability of NiV genome sequences remains limited, particularly from Malaysia and India. Mortality rates also vary according to the country, exceeding 70% in Bangladesh, India, and the Philippines, and less than 40% in Malaysia. Understanding these differences in mortality rate among countries is crucial for informing NiV epidemiology and enhancing outbreak prevention and management strategies. In terms of research developments, the majority of studies focused on vaccine development, followed by phylogenetic analysis and antiviral research. While many vaccines and antivirals have demonstrated complete protection in animal models, only two vaccines have progressed to clinical trials. Phylogenetic analyses have revealed distinct clades between NiV Malaysia, NiV Bangladesh, and NiV India, with proposals to classify NiV India as a separate strain from NiV Bangladesh. Taken together, comprehensive OneHealth approaches integrating disease surveillance and research are imperative for future NiV studies. Expanding the dataset of NiV genome sequences, particularly from Malaysia, Bangladesh, and India will be pivotal. These research efforts are essential for advancing our understanding of NiV pathogenicity and for developing robust diagnostic assays, vaccines and therapeutics necessary for effective preparedness and response to future NiV outbreaks.