Trends in HIV Prevalence, Sexual Behavior, and Pre-Exposure Prophylaxis Willingness Among Transgender Women: An Analysis of Three Cross-Sectional Studies Conducted Mainly in Shenyang, China, 2014-2019.

Purpose: Although transgender women (TGW) bear the highest HIV burden worldwide, routine surveillance of this group is rare. We aimed to evaluate the trends in health characteristics of Chinese TGW. Methods: Three cross-sectional studies using snowball sampling were conducted in 2014, 2017, and 2019, primarily in Shenyang, China. A questionnaire and voluntary HIV testing were used to obtain information on background characteristics, sexual behaviors, pre-exposure prophylaxis (PrEP) willingness, and HIV status. Results: There were 220 respondents in 2014, 198 in 2017, and 247 in 2019 (average age 31.1±7.6 to 33.5±9.6 years). HIV prevalence significantly decreased from 29.5% (95% confidence interval [CI]: 25.3-38.4%) in 2014 to 19.4% (95% CI: 14.7-24.9%) in 2019 (p<0.05). The proportion of participants reporting condomless anal intercourse (CAI) with any partner fluctuated from 30.8% (95% CI: 25.1-36.1%) to 53.0% (95% CI: 45.8-60.1%). The proportion of participants willing to use PrEP decreased from 86.4% (95% CI: 81.1-90.6%) in 2014 to 62.8% (95% CI: 56.4-68.8%) in 2019. Factors significantly associated with HIV infection were CAI with any partner (multivariate odds ratio [ORm]: 3.58, 95% CI: 1.55-8.29 in 2017; ORm: 3.18, 95% CI: 1.56-6.46 in 2019) and PrEP willingness (ORm: 0.26, 95% CI: 0.12-0.58 in 2017). Conclusion: HIV prevalence and associated risk factors remain substantial among Chinese TGW. There is an urgent need to strengthen HIV surveillance in this population, and develop trans-friendly and effective interventions to minimize HIV prevalence and transmission.

[Continuous SARS-CoV-2 monitoring in day care centers: A qualitative interview study on the experiences of childcare workers and parents with different self-sampling methods in the home environment]. / Kontinuierliche Überwachung von SARS-CoV-2 Infektionen in Kindertagesstätten: eine qualitative Interviewstudie über die Erfahrungen von Betreuer*innen und Eltern mit verschiedenen Testverfahren im häuslichen Umfeld.

BACKGROUND: Since the beginning of the corona pandemic in Germany in January 2020, day care centres (DCC) have faced the challenge of reliably detecting cases of SARS-CoV-2 infection as early and reliably as possible in order to avoid major outbreaks and closures. Conducting regular virological screening tests for asymptomatic DCC children and childcare workers requires a high level of acceptance among participants and should be as easy as possible to implement. The present study aimed to evaluate childcare workers' and parents' attitudes and experiences regarding the acceptance and feasibility of various screening methods. This assessment was conducted using additional qualitative interviews designed for home-based screening in the context of a screening study in DCCs. METHOD: From May to July 2021, childcare workers and parents of children in nine DCCs in Wuerzburg independently carried out screening tests for SARS-CoV-2 at home twice a week as part of the "Würzburg Child Care Study in the COVID-19 Pandemic 2.0". The participants were offered two self-sampling methods (mouth-rinsing fluid for pooled PCR tests and/or nasal rapid antigen self-tests). Before and after the 12-week test phase, telephone interviews were conducted with a selected sample of childcare workers and parents in order to ascertain initial attitudes and further experiences with the two self-sampling methods and their implementation. The interviews were fully transcribed for analysis and subjected to a qualitative content analysis according to Kuckartz. RESULTS: Of the 1,026 eligible participants, 591 individuals, including 139 childcare workers and the parents of 452 children, agreed to take part in the screening tests. A total of 49 interviews were conducted with a specifically selected sample (20 before the start of the test, 29 after the end of the test). In the qualitative content analysis, three overarching topics emerged: 'aspects of the test performance', 'aspects of the perception of safety' and 'aspects of the testing in children'. Regardless of the fact that the various test methods and test features were perceived very differently, conducting the tests at home was found to be feasible. DISCUSSION: The differentiated insights into the participants' perspectives provide valuable information about factors that influence the acceptance of self-testing. These should be taken into account before such a measure is introduced in DCCs if necessary. CONCLUSION: The assessment of test procedures is strongly influenced by individual preferences. Test concepts should be implemented with as little time and organisational effort as possible in order to promote willingness to participate. Clear study information and quick feedback on test results can enhance the sense of security among parents and childcare workers.

Longitudinal screening adherence in the Australian National Bowel Cancer Screening Program from 2006 to 2022.

OBJECTIVE: Australia's National Bowel Cancer Screening Program (NBCSP) offers two-yearly screening to 50-74-year-olds for the prevention and early detection of colorectal cancer (CRC). Internationally, detailed reporting of participation across multiple screening rounds - also known as longitudinal adherence - is becoming more common, but remains limited in Australia. We described the longitudinal screening adherence of individuals by age and sex invited to the NBCSP at least once, and quantified longitudinal adherence among individuals who received four NBCSP invitations. METHODS: We obtained aggregate national data for individuals who received at least one NBCSP invitation between 1 August 2006 and 31 March 2022. We described screening adherence patterns including longitudinal adherence among individuals who received four invitations, and evaluated prior longitudinal adherence and adherence at most recent invitation as predictors of future participation. RESULTS: Over the study period, 8.5 million individuals were invited to screen in the NBCSP; 51.9% of these individuals screened at least once. Of the >2.5 million individuals who received four invitations, 23.3% consistently screened, 38.3% never screened, and 38.3% inconsistently screened. The longitudinal adherence at the fourth invitation round for individuals who previously returned none, one, two, or three of their previous three invitations was 9.5%, 37.4%, 70.1% and 88.8%, respectively. Both longitudinal adherence and adherence at the most recent invitation were significant predictors of future participation. CONCLUSION: Our study is the first detailed report of longitudinal adherence to the NBCSP in >2 screening rounds. These insights into long-term behaviours can inform planning for interventions to improve screening participation.

Piloting wastewater-based surveillance of norovirus in England.

Wastewater-based epidemiology (WBE) gained widespread use as a tool for supporting clinical disease surveillance during the COVID-19 pandemic. There is now significant interest in the continued development of WBE for other pathogens of clinical significance. In this study, approximately 3,200 samples of wastewater from across England, previously collected for quantification of SARS-CoV-2, were re-analysed for the quantification of norovirus genogroup I (GI) and II (GII). Overall, GI and GII were detected in 93% and 98% of samples respectively, and at least one of the genogroups was detected in 99% of samples. GI was found at significantly lower concentrations than GII, but the proportion of each genogroup varied over time, with GI becoming more prevalent than GII in some areas towards the end of the study period (May 2021 - March 2022). Using relative strength indices (RSI), it was possible to study the trends of each genogroup, and total norovirus over time. Increases in norovirus levels appeared to coincide with the removal of COVID-19 related lockdown restrictions within England. Local Moran's I analyses indicated several localised outbreaks of both GI and GII across England, notably the possible GI outbreak in the north of England in early 2022. Comparisons of national average norovirus concentrations in wastewater against concomitant norovirus reported case numbers showed a significant linear relationship. This highlights the potential for wastewater-based monitoring of norovirus as a valuable approach to support surveillance of norovirus in communities.

A survey of the representativeness and usefulness of wastewater-based surveillance systems in 10 countries across Europe in 2023.

Wastewater-based surveillance (WBS) has become a widespread method to monitor transmission of SARS-CoV-2 and other human pathogens in Europe. We conducted a survey about WBS systems' objectives, approaches, representativeness and usefulness in 10 invited European countries in 2023, i.e. Austria, Belgium, Denmark, Finland, Greece, Hungary, Italy, Luxembourg, the Netherlands and Norway. All countries completed the study questionnaire about their SARS-CoV-2 WBS systems, and shared information about WBS of other pathogens as deemed relevant. SARS-CoV-2 WBS systems primarily monitored national and subnational trends (population coverage: 25-99%), and a majority (8/10) also tracked variant distribution. Nine of 10 countries reported that their SARS-CoV-2 WBS systems were representative of their population and all countries remarked that the findings were valuable for public health decision-making. Results were shared with relevant public health authorities and published via dedicated websites and/or dashboards. WBS systems of other pathogens were mostly in the early stages, with some countries implementing pilots. Notable exceptions were the well-established poliovirus surveillance systems in Finland, Italy and the Netherlands. This study brings understanding the diverse landscape of WBS in Europe, offering insights for future developments and collaborations. Furthermore, it highlights the need for further integration of WBS into other European surveillance systems.

Linking Maternal and Child Health Data to Enhance Public Health Surveillance and Implement Sustainable Interventions.

Our initiative aims to enhance the public health informatics infrastructure for surveillance of maternal and child health (MCH) using data captured from electronic health records (EHRs), public health information systems, and administrative health data. Our work includes development, validation, and application of linkage algorithms across records for mothers and children; integration of data across myriad sources; design of routine surveillance reports; and design of longitudinal studies to examine determinants and outcomes in MCH populations. Our work is conducted in partnership with governmental public health agencies, health care providers, academic institutions, and community-based organizations. Future work will build on the enhanced informatics infrastructure to draw from additional public health data sources and/or expand surveillance efforts to include prioritized MCH outcomes. We will further translate knowledge gained from surveillance into action, working with our partners to improve and sustain better MCH equitably in our population.

Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms.

Effectively identifying deviations in real-world medical time-series data is a critical endeavor, essential for early surveillance of disease outbreaks. This paper demonstrates the integration of time-series anomaly detection techniques to develop surveillance systems for disease outbreaks. Utilizing data from Sweden's telephone counseling service (1177), we first illustrate the trends in physical and mental symptoms recorded as contact reasons, offering valuable insights for outbreak detection. Subsequently, an advanced anomaly detection technique is applied incrementally to these time-series symptoms as univariate and multivariate approaches to assess the effectiveness of a machine learning-based method on early detection of the COVID-19 outbreak.

A GIS software-based method to identify public health data belonging to address-defined communities.

OBJECTIVE: This communication presents the results of defining a tribal health jurisdiction by a combination of tribal affiliation and case address. METHODS: Through a county-tribal partnership, GIS software and custom code were used to extract tribal data from county data by identifying reservation addresses in county extracts of COVID-19 case records from December 30, 2019, to December 31, 2022 (n = 374,653) and COVID-19 vaccination records from December 1, 2020, to April 18, 2023 (n = 2,355,058). RESULTS: The tool identified 1.91 times as many case records and 3.76 times as many vaccination records as filtering by tribal affiliation alone. DISCUSSION AND CONCLUSION: This method of identifying communities by patient address, in combination with tribal affiliation and enrollment, can help tribal health jurisdictions attain equitable access to public health data, when done in partnership with a data sharing agreement. This methodology has potential applications for other populations underrepresented in public health and clinical research.

Assessing real world vaccine effectiveness: A review of Scotland's approach to monitoring human papillomavirus (HPV) vaccine impact on HPV infection and cervical disease.

High-risk human papillomavirus (HPV) infections can progress to cervical cancer which is the fourth most common cancer in women globally. In Scotland, the incidence of cervical cancer has a strong socioeconomic deprivation gradient disproportionately affecting women from more deprived areas. An HPV vaccination programme was initiated in Scotland in 2008 targeting girls aged 12-13 years with a catch-up campaign running for the first three years for girls aged up to 18 years. The programme has evolved over the last 16 years with changes in the type of vaccine, dosing schedules and the extension of the programme to boys and gay, bisexual and other men who have sex with men. Vaccine uptake in Scotland has historically been high but has gradually decreased over time and disparities exist in women from more deprived areas of Scotland. The ability to link national immunisation and screening databases in Scotland has allowed direct monitoring of the impact of the HPV vaccine on virological and histological outcomes. Analyses of this linked data have demonstrated real-world evidence of high vaccine effectiveness against HPV infection, cervical disease, and cervical cancer with evidence of herd immunity in unvaccinated women. Continued monitoring is crucial to assess the duration of protection, the impact of vaccine and dosing schedules changes and the emergence of potential type replacement. With the World Health Organisation's aim to eliminate cervical cancer as a public health problem by the next century addressing the inequalities in cervical cancer incidence will be crucial. This will require targeted interventions for women most at risk of cervical cancer to ensure elimination is achieved timely for all women in Scotland.

Impact of the COVID-19 Pandemic on Influenza Hospital Admissions and Deaths in Wales: Descriptive National Time Series Analysis.

Background: The COVID-19 pandemic and the ensuing implementation of control measures caused widespread societal disruption. These disruptions may also have affected community transmission and seasonal circulation patterns of endemic respiratory viruses. Objective: We aimed to investigate the impact of COVID-19-related disruption on influenza-related emergency hospital admissions and deaths in Wales in the first 2 years of the pandemic. Methods: A descriptive analysis of influenza activity was conducted using anonymized pathology, hospitalization, and mortality data from the Secure Anonymised Information Linkage Databank in Wales. The annual incidence of emergency hospitalizations and deaths with influenza-specific diagnosis codes between January 1, 2015, and December 31, 2021, was estimated. Case definitions of emergency hospitalization and death required laboratory confirmation with a polymerase chain reaction test. Trends of admissions and deaths were analyzed monthly and yearly. We conducted 2 sensitivity analyses by extending case definitions to include acute respiratory illnesses with a positive influenza test and by limiting admissions to those with influenza as the primary diagnosis. We also examined yearly influenza testing trends to understand changes in testing behavior during the pandemic. Results: We studied a population of 3,235,883 Welsh residents in 2020 with a median age of 42.5 (IQR 22.9-61.0) years. Influenza testing in Wales increased notably in the last 2 months of 2020, and particularly in 2021 to 39,720 per 100,000 people, compared to the prepandemic levels (1343 in 2019). The percentage of influenza admissions matched to an influenza polymerase chain reaction test increased from 74.8% (1890/2526) in 2019 to 85.2% (98/115) in 2021. However, admissions with a positive test per 100,000 population decreased from 17.0 in 2019 to 2.7 and 0.6 in 2020 and 2021, respectively. Similarly, deaths due to influenza with a positive influenza test per 100,000 population decreased from 0.4 in 2019 to 0.0 in 2020 and 2021. Sensitivity analyses showed similar patterns of decreasing influenza admissions and deaths in the first 2 years of the COVID-19 pandemic. Conclusions: Nonpharmaceutical interventions to control COVID-19 were associated with a substantial reduction in the transmission of the influenza virus, with associated substantial reductions in hospital cases and deaths observed. Beyond the pandemic context, consideration should be given to the role of nonpharmaceutical community-driven interventions to reduce the burden of influenza.

BacSPaD: A Robust Bacterial Strains' Pathogenicity Resource Based on Integrated and Curated Genomic Metadata.

The vast array of omics data in microbiology presents significant opportunities for studying bacterial pathogenesis and creating computational tools for predicting pathogenic potential. However, the field lacks a comprehensive, curated resource that catalogs bacterial strains and their ability to cause human infections. Current methods for identifying pathogenicity determinants often introduce biases and miss critical aspects of bacterial pathogenesis. In response to this gap, we introduce BacSPaD (Bacterial Strains' Pathogenicity Database), a thoroughly curated database focusing on pathogenicity annotations for a wide range of high-quality, complete bacterial genomes. Our rule-based annotation workflow combines metadata from trusted sources with automated keyword matching, extensive manual curation, and detailed literature review. Our analysis classified 5502 genomes as pathogenic to humans (HP) and 490 as non-pathogenic to humans (NHP), encompassing 532 species, 193 genera, and 96 families. Statistical analysis demonstrated a significant but moderate correlation between virulence factors and HP classification, highlighting the complexity of bacterial pathogenicity and the need for ongoing research. This resource is poised to enhance our understanding of bacterial pathogenicity mechanisms and aid in the development of predictive models. To improve accessibility and provide key visualization statistics, we developed a user-friendly web interface.

Advancing Public Health Surveillance: Integrating Modeling and GIS in the Wastewater-Based Epidemiology of Viruses, a Narrative Review.

This review article will present a comprehensive examination of the use of modeling, spatial analysis, and geographic information systems (GIS) in the surveillance of viruses in wastewater. With the advent of global health challenges like the COVID-19 pandemic, wastewater surveillance has emerged as a crucial tool for the early detection and management of viral outbreaks. This review will explore the application of various modeling techniques that enable the prediction and understanding of virus concentrations and spread patterns in wastewater systems. It highlights the role of spatial analysis in mapping the geographic distribution of viral loads, providing insights into the dynamics of virus transmission within communities. The integration of GIS in wastewater surveillance will be explored, emphasizing the utility of such systems in visualizing data, enhancing sampling site selection, and ensuring equitable monitoring across diverse populations. The review will also discuss the innovative combination of GIS with remote sensing data and predictive modeling, offering a multi-faceted approach to understand virus spread. Challenges such as data quality, privacy concerns, and the necessity for interdisciplinary collaboration will be addressed. This review concludes by underscoring the transformative potential of these analytical tools in public health, advocating for continued research and innovation to strengthen preparedness and response strategies for future viral threats. This article aims to provide a foundational understanding for researchers and public health officials, fostering advancements in the field of wastewater-based epidemiology.

Administratively reported fetal alcohol spectrum disorders in commercially- and Medicaid-insured samples of children in the United States, 2015 - 2021.

BACKGROUND: Fetal alcohol spectrum disorders (FASDs) are lifelong conditions that can occur in a person with prenatal alcohol exposure. Although studies using intensive, in-person assessments of children in selected communities have found higher estimates of children with FASDs than studies of healthcare claims data, claims-based studies provide more current information about individuals with recognized FASDs from diverse populations. We estimated the proportion of children with administratively reported FASDs in two large healthcare claims databases. METHODS: We analyzed Merative™ MarketScan® commercial and Medicaid claims databases, that include nationwide data from employer-sponsored health plans and from Medicaid programs in 8-10 states, respectively. For each database, we estimated the proportion of children aged 0-17 years with administratively reported FASDs, identified by one inpatient or two outpatient codes for prenatal alcohol exposure or fetal alcohol syndrome during the entire seven-year period from 2015 to 2021 and during each year. RESULTS: During 2015-2021, 1.2 per 10,000 commercially-insured and 6.1 per 10,000 Medicaid-insured children had an administratively reported FASD; estimates varied by sex, geography, and other available demographics. Among commercially-insured children, 0.5 per 10,000 in 2015 and 0.6 per 10,000 children in 2021 had an administratively reported FASD; among Medicaid-insured, 1.2 per 10,000 in 2015 and 2.1 per 10,000 children in 2021 had an administratively reported FASD. CONCLUSIONS: Although an underestimate of the true population of children with FASDs, patterns in administratively reported FASDs by demographics were consistent with previous studies. Healthcare claims studies can provide timely, ongoing information about children with recognized FASDs to complement in-persons studies.

Clinical Significance, Species Distribution, and Temporal Trends of Nontuberculous Mycobacteria, Denmark, 1991-2022.

Nontuberculous mycobacteria (NTM) are emerging as notable causative agents of opportunistic infections. To examine clinical significance, species distribution, and temporal trends of NTM in Denmark, we performed a nationwide register-based study of all unique persons with NTM isolated in the country during 1991-2022. We categorized patients as having definite disease, possible disease, or isolation by using a previously validated method. The incidence of pulmonary NTM increased throughout the study period, in contrast to earlier findings. Mycobacterium malmoense, M. kansasii, M. szulgai, and M. avium complex were the most clinically significant species based on microbiologic findings; M. avium dominated in incidence. This study shows the need for surveillance for an emerging infection that is not notifiable in most countries, provides evidence to support clinical decision-making, and highlights the importance of not considering NTM as a single entity.

Opportunities for Enhanced Public Health Surveillance via Molecular Detection and Sequencing of Diverse Respiratory Viruses From Self-collected SARS-CoV-2 Antigen Test Swabs.

We sequenced and genotyped severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza, adenovirus, and respiratory syncytial virus, among other pathogens, from residual anterior nasal swabs self-collected for rapid SARS-CoV-2 antigen testing at the US Naval Academy. This is a key proof-of-concept for an acute respiratory infection surveillance approach, which could leverage prevalent SARS-CoV-2 antigen self-testing.

Clinical effects of non-pharmaceutical interventions for COVID-19 on other nationally notifiable infectious diseases in South Korea.

Background/Aims: This study aimed to assess the impact of non-pharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic on nationally notifiable infectious diseases (NNIDs) in South Korea. Methods: Long-term data on seven NNIDs from 2018 to 2021 were analyzed to identify trends and change points using a change point detection technique. The timings of the NPI implementations were compared to the identified change points to determine their association. Results: Varicella, mumps, and scarlet fever showed a significant decrease in incidence following the implementation of NPIs during the COVID-19 pandemic. These diseases, which are primarily transmitted through respiratory droplets, demonstrated a clear response to NPIs. However, carbapenem-resistant Enterobacterales (CRE) showed an increasing trend unrelated to the timing of NPI implementation, suggesting the complex nature of controlling healthcare-associated infections. Hepatitis A, hepatitis C, and scrub typhus did not show significant changes associated with NPIs, likely due to their non-respiratory route of transmission. Conclusions: NPIs effectively controlled NNIDs, particularly those transmitted through respiratory infections. However, the impact varied depending on the disease. Understanding the effectiveness and limitations of NPIs is crucial for developing comprehensive public health strategies during infectious disease outbreaks.

Public Health Surveillance of Pediatric Polio in Pakistan: A Cohort Study.

Background and objective Polio continues to be endemic in Pakistan despite substantial international efforts to combat it, which presents a serious public health concern. Strategies for eradicating polio depend on understanding the dynamics of pediatric polio transmission and the efficacy of surveillance. This research study aimed to critically evaluate the public health surveillance system for pediatric polio in Pakistan and propose recommendations for improvement. Methodology This study was conducted from June 2020 to July 2023 in three well-known hospitals in different areas of Pakistan and involved 26 patients. Reviews of medical records, interviews, and surveillance report analysis were all part of the data collection process. Descriptive statistics, chi-square tests, and logistic regression analysis were performed using SPSS Statistics version 27.0 (IBM Corp., Armonk, NY) with the statistical significance set at p<0.05. Results The highest incidence of polio was observed in children aged 13-24 months (nine patients, 34.62%), with males accounting for 14 cases (53.85%) and urban residents 16 cases (61.54%). Vaccination status significantly influences disease incidence (p<0.001), with two patients (7.69%) unvaccinated, 10 patients (38.46%) partially vaccinated, and 14 patients (53.85%) fully vaccinated. Paralysis was the predominant symptom in 16 patients (61.54%). Recovery outcomes varied, with eight patients (31%) fully recovering, 12 patients (46%) showing partial improvement, and six patients (23%) experiencing chronic motor impairments. Effective surveillance depends on timely reporting [odds ratio (OR): 2.15, p<0.001] and healthcare worker training (OR: 1.67, p<0.001), highlighting crucial aspects of polio management strategies. Conclusions Based on our findings, vaccination status significantly impacts polio occurrence, with a notable proportion found in partially vaccinated or unvaccinated children. Paralysis remains the primary symptom, with varied recovery outcomes, including chronic motor impairments in some cases. This study underscores Pakistan's ongoing challenges with pediatric polio, highlighting the crucial need for improved vaccination, surveillance, and rehabilitation efforts.

Validation of an acute respiratory infection phenotyping algorithm to support robust computerised medical record-based respiratory sentinel surveillance, England, 2023.

IntroductionRespiratory sentinel surveillance systems leveraging computerised medical records (CMR) use phenotyping algorithms to identify cases of interest, such as acute respiratory infection (ARI). The Oxford-Royal College of General Practitioners Research and Surveillance Centre (RSC) is the English primary care-based sentinel surveillance network.AimThis study describes and validates the RSC's new ARI phenotyping algorithm.MethodsWe developed the phenotyping algorithm using a framework aligned with international interoperability standards. We validated our algorithm by comparing ARI events identified during the 2022/23 influenza season in England through use of both old and new algorithms. We compared clinical codes commonly used for recording ARI.ResultsThe new algorithm identified an additional 860,039 cases and excluded 52,258, resulting in a net increase of 807,781 cases (33.84%) of ARI compared to the old algorithm, with totals of 3,194,224 cases versus 2,386,443 cases. Of the 860,039 newly identified cases, the majority (63.7%) were due to identification of symptom codes suggestive of an ARI diagnosis not detected by the old algorithm. The 52,258 cases incorrectly identified by the old algorithm were due to inadvertent identification of chronic, recurrent, non-infectious and other non-ARI disease.ConclusionWe developed a new ARI phenotyping algorithm that more accurately identifies cases of ARI from the CMR. This will benefit public health by providing more accurate surveillance reports to public health authorities. This new algorithm can serve as a blueprint for other CMR-based surveillance systems wishing to develop similar phenotyping algorithms.