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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.

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In 2021, the U.S. Food and Drug Administration (FDA), Centers for Disease Control and Prevention (CDC), and state partners investigated a multi-state sample-initiated retrospective outbreak investigation (SIROI) consisting of a cluster of nine Salmonella Weltevreden illnesses associated with frozen, pre-cooked shrimp imported from India. Import surveillance testing identified Salmonella Weltevreden recovered from a cooked shrimp sample from Supplier B. In total, nine patients with clinical isolates highly related via whole genome sequencing were reported in four states with illness onset dates between February 26 and July 17, 2021. Epidemiologic data was gathered by state partners for seven patients, whom all reported exposure to shrimp. Five patients reported consuming shrimp cocktail from the same retailer. A traceback investigation for five of the six patients converged on Supplier B. This evidence demonstrated that the outbreak of Salmonella Weltevreden illnesses was caused by the consumption of cooked, ready-to-eat shrimp manufactured by Supplier B. At the time of the investigation, outbreak and recall information was shared with Indian competent authorities. In March 2022, a follow up inspection of Supplier B's facility in India was conducted, and insanitary conditions and practices were observed. This outbreak investigation highlighted the importance of multidisciplinary national and international public health partnerships. The lessons learned from this investigation should continue to inform investigational activities and food safety guidance for industry.

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Recent theoretical advances in the One Health approach have suggested that cancer pathologies should be given greater consideration, as cancers often render their hosts more vulnerable to infectious agents, which could turn them into super spreaders within ecosystems. Although biologically plausible, this hypothesis has not yet been validated experimentally. Using a community of cnidarians of the Hydra genus (Hydra oligactis, Hydra viridissima, Hydra vulgaris) and a commensal ciliate species (Kerona pediculus) that colonizes them, we tested whether tumoral polyps of H. oligactis, compared to healthy ones, played an amplifying role in the number of ciliates, potentially resulting in a higher likelihood of infection for other community members through spillovers. Our results indicate that K. pediculus has a higher proliferation rate on tumoral polyps of H. oligactis than on healthy ones, which results in the infestation of other hydras. However, the magnitude of the spillover differed between recipient species. This study provides to our knowledge the first elements of proof of concept that tumoral individuals in communities could act as super spreaders of symbionts within and between species, and thus affect biotic interactions and dynamics in ecosystems.

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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.

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Background: Foodborne and waterborne diseases and outbreaks are a neglected public health issue worldwide. In developing countries, diarrheal disease caused by foodborne and waterborne infections is a major cause of ill health. There is a lack of information on foodborne pathogens, their transmission routes, outbreaks, and related mortalities, due to the absence of a robust disease surveillance system and adequately equipped laboratories. Although hygiene practices are much better in Western countries, the widespread use of preserved and raw food items is a cause of concern. Consequently, the occurrence of foodborne diseases is not rare in these countries either. WHO has recently released the 'Global Strategy for Food Safety 2022-2030', addressing the emerging challenges, new technologies, and innovative approaches to strengthen food safety systems and enhance laboratory capacity for foodborne disease surveillance. Foodborne outbreaks are a huge challenge in India. Malnutrition, anemia, hookworm and enteric infections, are the predominant cryptic health conditions among children in rural and tribal areas, leading to severe consequences, including death, and posing a substantial threat to public health. Combating such events with adequate food safety and hygiene practices is achievable. Systematic collection of data can help to develop food safety policies that could reduce the burden of foodborne diseases. Objective: This review aims to examine the current situation of foodborne and waterborne diseases, identification of the factors contributing to their occurrence and outbreaks, and defining the gaps in control measures, challenges, and potential solutions in improving the public health system. Methods: Strengths, weaknesses, opportunities, and threats (SWOT) analysis was made based on the literature review of foodborne and waterborne infections to assess the current situation and to identify knowledge gaps. Finding: SWOT analysis showed the strength and gaps in the different national initiatives analogous to the global programs. Though, Integrated Disease Surveillance Programme (IDSP), Food Safety and Standards Authority of India (FSSAI), the core Government missions, independently generate substantial information, sporadic and outbreak cases of diarrhea still prevail in the country due to the absence of a systematic national surveillance system. Recently, many government initiatives have been made through Sustainable Development Goals (SDGs), G20 goals, etc. However, potential threats such as risk of zoonotic disease transmission to humans, emerging infections and antimicrobial resistance (AMR), and unauthorized activities in the food sector pose a big challenge in safeguarding the public health. Conclusion: Maintenance of global food safety requires a systematic analysis of present situations, identification of existing shortcomings, and targeted efforts toward prevention of infections. The ongoing G20 mission and the SDGs for 2030 represent significant strides in this direction. To have pathogen-free animals and supply of contamination-free raw foods is impractical, but, mitigating the prevalence of zoonotic diseases can be accomplished by rigorously enforcing hygiene standards throughout the food production chain. A crucial requirement at present is the implementation of integrated laboratory surveillance for foodborne and waterborne infections, as this will provide policymakers and stakeholders all the evidence based scientific information. This system will facilitate efforts in minimizing the risks associated with foodborne and waterborne infections.

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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.

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Introduction: Community-level changes in population mobility can dramatically change the trajectory of any directly-transmitted infectious disease, by modifying where and between whom contact occurs. This was highlighted throughout the COVID-19 pandemic, where community response and nonpharmaceutical interventions changed the trajectory of SARS-CoV-2 spread, sometimes in unpredictable ways. Population-level changes in mobility also occur seasonally and during other significant events, such as hurricanes or earthquakes. To effectively predict the spread of future emerging directly-transmitted diseases, we should better understand how the spatial spread of infectious disease changes seasonally, and when communities are actively responding to local disease outbreaks and travel restrictions. Methods: Here, we use population mobility data from Virginia spanning Aug 2019-March 2023 to simulate the spread of a hypothetical directly-transmitted disease under the population mobility patterns from various months. By comparing the spread of disease based on where the outbreak begins and the mobility patterns used, we determine the highest-risk areas and periods, and elucidate how seasonal and pandemic-era mobility patterns could change the trajectory of disease transmission. Results and discussion: Through this analysis, we determine that while urban areas were at highest risk pre-pandemic, the heterogeneous nature of community response induced by SARS-CoV-2 cases meant that when outbreaks were occurring across Virginia, rural areas became relatively higher risk. Further, the months of September and January led to counties with large student populations to become particularly at risk, as population flows in and out of these counties were greatly increased with students returning to school.

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Recent cholera outbreaks in many countries in the Middle East and North Africa (MENA) region have raised public health concerns and focused attention on the genus Vibrio. However, the epidemiology of Vibrio species in humans, water, and seafood is often anecdotal in this region. In this review, we screened the literature and provided a comprehensive assessment of the distribution and antibiotic resistance properties of Vibrio species in different clinical and environmental samples in the region. This review will contribute to understanding closely the real burden of Vibrio species and the spread of antibiotic-resistant strains in the MENA region. The overall objective is to engage epidemiologists, sanitarians and public health stakeholders to address this problem under the One-health ethos.

The Vibrio genus contains many bacterial species normally found in freshwater, estuaries and marine environments. Some of these species can be transmitted by water and food and can make people severely ill. For instance, some groups of the bacterium Vibrio cholerae (serogroups O1 and O139) can cause serious watery diarrhea called cholera. Other pathogenic Vibrio bacteria can cause other types of infections such as gastroenteritis and wound infections. Some of these bacteria are becoming increasingly resistant to antibiotics, which will threaten and complicate therapy. This review discusses the occurrence and antibiotic resistance of different important Vibrio species in the Middle East and North Africa (MENA) region.

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Background: The time-varying reproduction number R is a critical variable for situational awareness during infectious disease outbreaks; however, delays between infection and reporting of cases hinder its accurate estimation in real-time. A number of nowcasting methods, leveraging available information on data consolidation delays, have been proposed to mitigate this problem. Methods: In this work, we retrospectively validate the use of a nowcasting algorithm during 18 months of the COVID-19 pandemic in Italy by quantitatively assessing its performance against standard methods for the estimation of R. Results: Nowcasting significantly reduced the median lag in the estimation of R from 13 to 8 days, while concurrently enhancing accuracy. Furthermore, it allowed the detection of periods of epidemic growth with a lead of between 6 and 23 days. Conclusions: Nowcasting augments epidemic awareness, empowering better informed public health responses.

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This study seeks to address the critical knowledge gap surrounding the acute phase of Chagas disease in Colombia, with a specific focus on cases reported in 2019. The acute phase of Chagas disease is a pivotal period for intervention, yet it remains poorly understood, particularly in regions where oral transmission is presumed to be a significant factor. By analyzing these recent cases, our research aims to provide a deeper understanding of the dynamics of Chagas disease during its acute phase in Colombia in 2019. This understanding is essential not only for improving disease management and treatment strategies but also for enhancing public health responses to this neglected tropical disease. In particular, our study highlights the importance of identifying and addressing the unique challenges posed by oral transmission routes, which have been increasingly recognized within Colombia's Chagas disease landscape.

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Public health disease surveillance can guide a range of decisions related to the protection of populations. Economic analysis can be used to assess how surveillance for specific diseases can substitute for or complement other public health interventions and how to structure surveillance most efficiently. Assessing the value and costs of different disease surveillance options as part of broader disease prevention and control efforts is important for both using available resources efficiently to protect populations and communicating the need for additional resources as appropriate.

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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.

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Campylobacter spp. are leading bacterial gastroenteritis pathogens. Infections are largely underreported, and the burden of outbreaks may be underestimated. Current strategies of testing as few as one isolate per sample can affect attribution of cases to epidemiologically important sources with high Campylobacter diversity, such as chicken meat. Multiple culture method combinations were utilized to recover and sequence Campylobacter from 45 retail chicken samples purchased across Norwich, UK, selecting up to 48 isolates per sample. Simulations based on resampling were used to assess the impact of Campylobacter sequence type (ST) diversity on outbreak detection. Campylobacter was recovered from 39 samples (87%), although only one sample was positive through all broth, temperature, and plate combinations. Three species were identified (Campylobacter jejuni, Campylobacter coli, and Campylobacter lari), and 33% of samples contained two species. Positive samples contained 1-8 STs. Simulation revealed that up to 87 isolates per sample would be required to detect 95% of the observed ST diversity, and 26 isolates would be required for the average probability of detecting a random theoretical outbreak ST to reach 95%. An optimized culture approach and selecting multiple isolates per sample are essential for more complete Campylobacter recovery to support outbreak investigation and source attribution.

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Prevalence and characteristics of extended-spectrum ß-lactamase (ESBL)-producing pathogenic Escherichia coli from foodborne diarrheal patients were studied. Analysis of 495 E. coli isolates revealed that 80 isolates were ESBL-producing pathogenic E. coli, and enteroaggregative E. coli and enterotoxigenic E. coli were two of the most prevalent pathotypes. In silico Clermont phylo-typing of the 80 ESBL-producing E. coli showed that phylogroup A (49/80) and D (22/80) were the predominant phylogroups. The average nucleotide identity analysis of ESBL-producing E. coli disclosed that they could be grouped into two phylogenetic groups; 25 A and 55 B groups. All strains, except one, harbored the blaCTX-M gene. All CTX-M-15 type ESBL-producing strains also carried qnrS, a plasmid-mediated quinolone resistance gene (PMQR). These results suggest that the diversity of ESBL-producing E. coli is high and that co-existence of blaCTX-M-15 and qnrS genes is widespread, highlighting their high risk of antibiotic-resistance spreading in infectious disease outbreaks. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-024-01549-5.

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PURPOSE: State and local public health departments (LHDs) are encouraged to collaborate with community-based organizations (CBOs) to enhance communication and promote protective practices with communities made vulnerable during emergencies, but there is little evidence-based understanding of practical approaches to fostering collaboration in this context. This research focuses on how collaboration enhances LHD capacity for effective communication for people with limited English proficiency (LEP) during infectious disease outbreaks specifically and strategies to facilitate productive LHD-CBO collaboration. DESIGN: Qualitative, telephone interviews, conducted March-October 2021. SETTING: Rural and urban jurisdictions with Chinese-speaking or Spanish-speaking populations across the United States. PARTICIPANTS: 36 LHD and 31 CBO staff working on outreach to Chinese and Spanish speakers during COVID-19. METHOD: Interviews were audio-recorded, transcribed verbatim, and analyzed using a team-based, codebook approach to thematic analysis. RESULTS: During COVID-19, CBOs extended LHD capacity to develop and disseminate effective communication, meaning communication that is rapidly in-language, culturally resonant, locally relevant, and trusted. Practical strategies to enable and sustain effective collaboration were needed to address operational dimensions (eg, material and administrative) and relational dimensions (eg, promoting trust and respect). CONCLUSION: Policies and financing to support LHD-CBO collaborations are critical to improving communication with people with LEP and addressing long-standing inequities in outcomes during outbreaks.

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BACKGROUND: Infectious disease outbreaks are an ongoing public health concern, requiring extensive resources to prevent and manage. Invasive Meningococcal Disease (IMD) is a severe outcome of infection with Neisseria meningitidis bacteria, which can be carried and transmitted asymptomatically. IMD is not completely vaccine-preventable, presenting an ongoing risk of outbreak development. This review provides a retrospective assessment of public health management of IMD outbreaks. METHODS: A systematic search was performed in PubMed and EMBASE. English-language studies reporting on IMD outbreaks and associated public health response were considered eligible. Reporting on key characteristics including outbreak size, duration, location, and public health response were assessed against Strengthening the Reporting of Observational studies in Epidemiology guidelines. A summary of lessons learned and author recommendations for each article were also discussed. RESULTS: 39 eligible studies were identified, describing 35 outbreaks in seven regions. Responses to outbreaks were mostly reactive, involving whole communities over prioritising those at highest risk of transmission. Recent responses identified a need for more proactive and targeted controls. Reporting was inconsistent, with key characteristics such as outbreak size, duration, or response absent or incompletely described. CONCLUSION: There is a need for clear, comprehensive reporting on IMD outbreaks and their public health response to inform policy and practice for subsequent outbreaks of IMD and other infectious diseases.

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OBJECTIVE: Digital technologies have improved the performance of surveillance systems through early detection of outbreaks and epidemic control. The aim of this study is to introduce an outbreak detection web application called OBDETECTOR (Outbreak Detector), which as a professional web application has the ability to process weekly or daily reported data from disease surveillance systems and facilitates the early detection of disease outbreaks. RESULTS: OBDETECTOR generates a histogram that exhibits the trend of infection within a time range selected by the user. The output comprises red triangles and plus signs, where the former denotes outbreak days determined by the algorithm applied to the data, and the latter represents days identified as outbreaks by the researcher. The graph also displays threshold values and its symbols enable researchers to compute evaluation criteria for outbreak detection algorithms, including sensitivity and specificity. OBDETECTOR allows users to modify algorithm parameters based on their research objectives immediately after loading data. The implementation of automatic web applications results in immediate reporting, precise analysis, and prompt alert notification. Moreover, Public Health authorities and other stakeholders of surveillance can benefit from the widespread accessibility and user-friendliness of these tools, enhancing their knowledge and skills for better engagement in surveillance programs.

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BACKGROUND: Outbreaks of emerging multidrug-resistant organisms (eMDROs), including carbapenem-resistant Enterobacterales, carbapenem-resistant Acinetobacter baumannii, and Candida auris, have been reported among severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients. We describe eMDRO clusters in SARS-CoV-2 units and associated infection control (IC) practices early in the SARS-CoV-2 pandemic. METHODS: We conducted a retrospective survey of a convenience sample of health departments in 11 states to describe clusters of eMDROs that began before November 1, 2020 and involved SARS-CoV-2 units. Cluster characteristics and IC practices during the cluster period were assessed using a standardized outbreak report form, and descriptive analyses were performed. RESULTS: Overall, 18 eMDRO clusters (10 carbapenem-resistant Enterobacterales, 6 C auris, 1 carbapenem-resistant Pseudomonas aeruginosa, and 1 carbapenem-resistant A baumannii) in 18 health care facilities involving 397 patients were reported from 10 states. During the cluster period, 60% of facilities reported a shortage of isolation gowns, 69% extended use of gowns, and 67% reported difficulty obtaining preferred disinfectants. Reduced frequency of hand hygiene audits was reported in 85% of acute care hospitals during the cluster period compared with before the pandemic. CONCLUSIONS: Changes in IC practices and supply shortages were identified in facilities with eMDRO outbreaks during the SARS-CoV-2 pandemic and might have contributed to eMDRO transmission.

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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.

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Care home residents are vulnerable to severe outcomes from infections such as COVID-19 and influenza. However, measures to control outbreaks, such as care home closures to visitors and new admissions, have a detrimental impact on their quality of life. Many infections and outbreaks could be prevented but the first step is to measure them reliably. This is challenging in care homes due to the lack of data and research infrastructure. During the pandemic, the VIVALDI study measured COVID-19 infections in residents and staff by partnering with care providers and using routinely collected data. This study aims to establish sentinel surveillance and a research database to enable observational and future interventional studies in care homes. The project has been co-produced with care providers, staff, residents, relatives, and researchers. The study (October 2023 to March 2025) will explore the feasibility of establishing a network of 500-1500 care homes for older adults in England that is underpinned by a linked data platform. No data will be collected from staff. The cohort will be created by regularly extracting resident identifiers from Digital Social Care Records (DSCR), followed by pseudonymisation and linkage to routinely collected datasets. Following extensive consultation, we decided not to seek informed consent from residents for data collection, but they can 'opt out' of the study. Our goal is to be inclusive, and it is challenging to give every resident the opportunity to 'opt in' due to cognitive impairment and the requirement for consultees. The project, and all requests to use the data will be overseen by relatives, residents, staff, and care providers. The study has been approved by the Health Research Authority Confidentiality Advisory Group (23/CAG/0134&0135) and the South-West Frenchay Research Ethics Committee (23/SW/0105). It is funded by the UK Health Security Agency.

Infections like flu or COVID-19 are common in care homes and infected residents can become seriously unwell. When infections spread, the measures that are often used to stop outbreaks, like care home closures to visitors and new admissions, can have a detrimental impact on residents. The first step to solving this problem is being able to measure how often infections and outbreaks happen, and how this varies across care homes. This is currently difficult because there are no systems to collect data from care home residents. During the COVID-19 pandemic, care homes worked with researchers and Government to deliver a research study called VIVALDI which measured COVID-19 infections in residents and staff and monitored what happened to them. This pilot study builds on what we learned in the pandemic and aims to reduce the impact of common infections on residents. We will set up a network of 500-1500 care homes for older adults in England that are interested in research. By collecting limited data (NHS numbers) from residents in these homes and linking to other datasets already held in the secure NHS environment, we can measure the extent of infections in residents. We are not collecting data from staff, and any residents in the datasets cannot be identified. We will also create an anonymous database (names, dates of birth, NHS numbers removed), which researchers can use to find new ways to prevent infection in care homes. This will be stored securely by the research team. If the project is successful, and residents and relatives support it, we hope this approach can be used permanently to monitor infections in care homes. The study has been designed in partnership with care providers, experienced care staff, policymakers, academics, and residents and their relatives, who will also oversee the study and all research outputs.