Public Health Surveillance Systems Research Articles

Active Surveillance of Engineered Stone Workers Facilitates Early Identification of Silicosis: A Discussion of Surveillance of Occupational Lung Diseases.

Silicosis in workers exposed to respirable crystalline silica while fabricating engineered stone products is an emerging respiratory health issue. We describe silicosis in engineered stone workers in California and examine clinical features by the source of identification. Cases were identified passively using hospital-based patient discharge data or actively through outreach and medical testing following enforcement investigation. Outcomes were examined based on the source of case identification. We identified 18 cases diagnosed between 2006 and 2020. Cases identified passively compared to other identification methods were associated with lower percent predicted forced vital capacity (FVC) (P ≤ .01), forced expiratory volume in 1 s (FEV1) (P ≤ .01), and diffusing capacity of the lungs for carbon monoxide (DLCO) (P < .01) at the time of diagnosis and were more likely to be identified following death or lung transplant (P = .01). Our experience demonstrates delays in diagnosis and case identification when relying on passive surveillance methods. Enhanced public health surveillance systems can improve the early detection of occupational lung disease and inform future prevention policies.

Wastewater Surveillance for SARS-CoV-2 at Long-Term Care Facilities: Mixed Methods Evaluation.

Wastewater surveillance provided early indication of COVID-19 in US municipalities. Residents of long-term care facilities (LTCFs) experienced disproportionate morbidity and mortality early in the COVID-19 pandemic. We implemented LTCF building-level wastewater surveillance for SARS-CoV-2 at 6 facilities in Kentucky to provide early warning of SARS-CoV-2 in populations considered vulnerable. This study aims to evaluate the performance of wastewater surveillance for SARS-CoV-2 at LTCFs in Kentucky. We conducted a mixed methods evaluation of wastewater surveillance following Centers for Disease Control and Prevention (CDC) guidelines for evaluating public health surveillance systems. Evaluation steps in the CDC guidelines were engaging stakeholders, describing the surveillance system, focusing the evaluation design, gathering credible evidence, and generating conclusions and recommendations. We purposively recruited stakeholders for semistructured interviews and undertook thematic content analysis of interview data. We integrated wastewater, clinical testing, and process data to characterize or calculate 7 surveillance system performance attributes (simplicity, flexibility, data quality, sensitivity and positive predictive value [PPV], timeliness, representativeness, and stability). We conducted 8 stakeholder interviews. The surveillance system collected wastewater samples (N=811) 2 to 4 times weekly at 6 LTCFs in Kentucky from March 2021 to February 2022. Synthesis of credible evidence indicated variable surveillance performance. Regarding simplicity, surveillance implementation required moderate human resource and technical capacity. Regarding flexibility, the system efficiently adjusted surveillance frequency and demonstrated the ability to detect additional pathogens of interest. Regarding data quality, software identified errors in wastewater sample metadata entry (110/3120, 3.53% of fields), technicians identified polymerase chain reaction data issues (140/7734, 1.81% of reactions), and staff entered all data corrections into a log. Regarding sensitivity and PPV, using routine LTCF SARS-CoV-2 clinical testing results as the gold standard, a wastewater SARS-CoV-2 signal of >0 RNA copies/mL was 30.6% (95% CI 24.4%-36.8%) sensitive and 79.7% (95% CI 76.4%-82.9%) specific for a positive clinical test at the LTCF. The PPV of the wastewater signal was 34.8% (95% CI 27.9%-41.7%) at >0 RNA copies/mL and increased to 75% (95% CI 60%-90%) at >250 copies/mL. Regarding timeliness, stakeholders received surveillance data 24 to 72 hours after sample collection, with delayed reporting because of the lack of weekend laboratory staff. Regarding representativeness, stakeholders identified challenges delineating the population contributing to LTCF wastewater because of visitors, unknown staff toileting habits, and the use of adult briefs by some residents preventing their waste from entering the sewer system. Regarding stability, the reoccurring cost to conduct 1 day of wastewater surveillance at 1 facility was approximately US $144.50, which included transportation, labor, and materials expenses. The LTCF wastewater surveillance system demonstrated mixed performance per CDC criteria. Stakeholders found surveillance feasible and expressed optimism regarding its potential while also recognizing challenges in interpreting and acting on surveillance data.

Middle East and North African Health Informatics Association (MENAHIA): Technological initiatives for ‘One Health’

MENAHIA (Middle East and North African Health Informatics Association) is the International Medical Informatics Association chapter dedicated to the Middle East and North Africa region. This region is rapidly growing in terms of the use of health informatics or what has been recently coined “digital health”. Human health is highly affected by the health of the environment, animal health, food, nutrition, climate change, and many other factors that are beyond the biological or genetic structure of human beings. The impact of animal health and the health of the environment on people's health is an old phenomenon but recent reemerging and appearance of diseases have clearly demonstrated the link between these. The Novel Coronavirus disease (COVID-19) that almost all of us have been suffering from is an example of this.A number of countries in the region have already shown the depth and the work that they do to integrate the concept of ‘One Health’ in the public health surveillance system as they have described the work that has been done to capture data from databases other than those dealing with human beings. The examples that were provided to monitor the health of animals, agriculture, environmental health, climate change, and man-made and natural disasters are just examples of what countries have been registering in their databases and informing the health authorities of these changes and emerging trends.

Evaluation of Ebola virus disease surveillance system capability to promptly detect a new outbreak in Liberia

IntroductionLiberia was heavily affected by the 2014–2016 Ebola virus disease (EVD) outbreak. With substantial investments in interventions to combat future outbreaks, it is hoped that Liberia is well prepared for...

Toward a One Health Surveillance System in Cuba: Co-Productive Stakeholder Engagement

Abstract We advocate for a holistic approach to building resilience against health hazards in Cuba by improving cross-sectoral and transdisciplinary collaboration. As a step in this direction, we conducted participatory workshops to design two One Health Surveillance Systems (OHSS): (i) for Influenza viruses with zoonotic/pandemic potential and (ii) for Antimicrobial Resistance (AMR). We engaged multiple stakeholders and used a Constellation Analysis (CA) tool to identify and visualize the elements of the ongoing veterinary and public health surveillance systems that are currently in place for AMR and Influenza. The stakeholders also delivered innovative insights regarding their views on the future OHSS. The participatory workshops consisted of four stages: (1) description of the case studies and their impact in Cuba; (2) validation of pre-designed CAs; (3) focus group discussions about the future OHSS; and (4) listing and discussing essential action points to develop and implement an OHSS. The workshops encompassed several group discussions and plenary sessions. The discussions were guided by a set of questions and supported by the CA tool. In both studies, we found that the transdisciplinary approach of the CA was suitable for encouraging group and plenary discussions. Stakeholder engagement is essential for the co-production of viable solutions to address complex health problems. Overall, this case illustrates how transdisciplinary research enables rapid co-production of knowledge among stakeholders that can inform both policy and practice. Information © The Authors 2023

Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019

ObjectivesWe evaluated the malaria surveillance system in Adaklu District of the Volta Region of Ghana to determine if the system was meeting its objectives and assessed its usefulness and attributes. Study designDescriptive cross-sectional design was used in evaluating the surveillance system. MethodsWe interviewed stakeholders using a semi-structured questionnaire on case detection and reporting. We assessed the system attributes using the Centers for Disease Control and Prevention updated guidelines for evaluating public health surveillance systems. We extracted and reviewed malaria surveillance data from the District Health Management Information System 2. Summary statistics and direct content analysis were performed on quantitative and qualitative data respectively. ResultsOf the 80,441 suspected malaria cases recorded in Adaklu District from 2014 to 2018, 47,917 (59.6%) cases were confirmed. The system was meeting its objective of detecting malaria cases and monitoring trends in the population however, the system missed an epidemic in August 2016. Data generated from the surveillance system is used by the NMCP to aid in the distribution of logistics such as LLINs, RDT test kits, and track malaria control progress in the district. Staff at all levels were able to detect, confirm, treat and report malaria. All sub-districts/health facilities reported to the district and reports were all accurate and timely. The predictive value positive was 62.9%. ConclusionsThe malaria surveillance system in Adaklu District was useful and meeting its set objective of monitoring trends of malaria in the population. It was simple, flexible, acceptable and representative; however, the system was not detecting epidemics. The District Health Management Team should set alert and epidemic thresholds to help detect promptly epidemics of malaria in the district.

Congenital hypothyroidism in Bogotá, Colombia: acurrent description (2015-2021).

Congenital hypothyroidism (CH) is a decrease in thyroid hormone function in newborns, being one of theleading causes of neurological deficits and long-term metabolic complications. This study aims to determine the prevalence and characteristics of CH cases in Bogotá, Colombia, between 2015 and 2021, as notified through the mandatory report to the Public Health Surveillance System (PHSS). A retrospective cross-sectional study was conducted. All live births (LB) with a weight≥500 g, diagnosed with CH with or without goiter (ICD-10 codes E030 and E031, respectively) in Bogotá during 2015-2021 were analyzed. For a total of 201 cases, the prevalence rate was 3.29cases per 10,000 LB. 92.54 % were classified as isolated cases of CH, 4.48 % syndromic, and 2.98 % polymalformated. A total of 16.92 % was small for gestational age. The mean gestational age was 37.38weeks (SD 2.76), 26.87 % were preterm births. Among the mothers, 8.96 % suffered from pregnancy-related or chronic diseases, the most common being hypertensive disorders of pregnancy and pre-existant hypothyroidism (without clarity concerning etiology). Atotalof 66.67 % of cases did not receive treatment after diagnosis. Treatment was established by an average age of27days after birth (SD 36.02) and 17days after case notification to the PHSS (SD 36.13). Observed prevalence is similar to the rate reported by health authorities in Colombia but inferior to reports from high-income countries, highlighting the importance of improvements in the Colombian LB's screening program. Time to diagnosis and treatment was observed to be prolonged, suggesting that new pathways are required for timely CH treatment.

Monitoring SARS-CoV-2 variants in wastewater of Dhaka City, Bangladesh: approach to complement public health surveillance systems

BackgroundWastewater-based epidemiological surveillance has been considered a powerful tool for early detection and monitoring of the dynamics of SARS-CoV-2 and its lineages circulating in a community. This study is aimed to investigate the complexity of SARS-CoV-2 infection dynamics in Dhaka city by examining its genetic variants in wastewater. Also, the study seeks to determine a connection between the SARS-CoV-2 variations detected in clinical testing and those found in wastewater samples.ResultsOut of 504 samples tested in RT-qPCR, 185 (36.7%) tested positive for SARS-CoV-2 viral RNA. The median log10 concentration of SARS-CoV-2 N gene copies/Liter of wastewater (gc/L) was 5.2, and the median log10 concentration of ORF1ab was 4.9. To further reveal the genetic diversity of SARS-CoV-2, ten samples with ORF1ab real-time RT-PCR cycle threshold (Ct) values ranging from 28.78 to 32.13 were subjected to whole genome sequencing using nanopore technology. According to clade classification, sequences from wastewater samples were grouped into 4 clades: 20A, 20B, 21A, 21J, and the Pango lineage, B.1, B.1.1, B.1.1.25, and B.1.617.2, with coverage ranging from 94.2 to 99.8%. Of them, 70% belonged to clade 20B, followed by 10% to clade 20A, 21A, and 21J. Lineage B.1.1.25 was predominant in Bangladesh and phylogenetically related to the sequences from India, the USA, Canada, the UK, and Italy. The Delta variant (B.1.617.2) was first identified in clinical samples at the beginning of May 2021. In contrast, we found that it was circulating in the community and was detected in wastewater in September 2020.ConclusionEnvironmental surveillance is useful for monitoring temporal and spatial trends of existing and emerging infectious diseases and supports evidence-based public health measures. The findings of this study supported the use of wastewater-based epidemiology and provided the baseline data for the dynamics of SARS-CoV-2 variants in the wastewater environment in Dhaka, Bangladesh.

THE RED FLAG OF EMERGENCY USE AUTHORIZATION (EUA)

The Emergency Use Authorization (EUA) policy, a representative biodefense policy, was legislated in the United States in 2001 based on lessons learned from Amerithrax, whereas Korea's EUA policy was based on lessons learned from the Middle East Respiratory Syndrome outbreak in 2015. Due to these divergent origins, the U.S. EUA's homeland security objectives were specialized to deal with highly pathogenic biological agents that could be exploited for bioterrorism, whereas the Korean EUA pursues disease containment purposes to strengthen mass‐testing practices. During the early phase of the COVID‐19 pandemic, the U.S. EUA revealed limitations in its integration with public health surveillance, laboratory partnerships, and insurance systems, which hampered the rapid expansion of testing capacities. Thereafter, once the limitations of the EUA were circumvented, the testing capacity of the United States began to catch up with that of South Korea, and later skyrocketed after solving these issues.

Urgensi Penerapan Teknologi Informasi Pada Sistem Surveilans Kesehatan Masyarakat

This editorial aims to describe the urgency and potential of applying information technology to public health surveillance systems. Health surveillance is closely related to the information generated and will be used for planning, implementation, and evaluation of public health efforts. This information must arrive on time to those who need it and can be utilized to prevent and control public health problems. It is necessary to apply information technology in the surveillance system to increase efficiency and productivity without eliminating the key role of humans. The application of information technology can also be a solution to the limitations of the surveillance system, especially in the timeliness of reports, the lack of routine publication of surveillance profiles, the lack of data analysis carried out, and the lack of analytical capabilities.

Estimating Prevalence of Bereavement, Its Contribution to Risk for Binge Drinking, and Other High-Risk Health States in a State Population Survey, 2019 Georgia Behavioral Risk Factor Surveillance Survey.

Binge drinking is a pattern of alcohol abuse. Its prevalence and associated risk factors are not well documented. Heavy drinking, on the other hand, has a well-documented association with bereavement. This report uses a cross-sectional, population-based survey to estimate prevalence of bingeing and its association with new bereavement. Bingeing is defined as 4 or more drinks (women) or 5 or more drinks (men) in a 2-4-h setting. For the first time in 2019, the Georgia Behavioral Risk Factor Surveillance Survey (BRFSS) included a bereavement item: 'Have you experienced the death of a family member or close friend in the years 2018 or 2019?' Georgia BRFSS is a complex sampling survey administered annually. It is designed to represent the 8.1 million people aged 18 years and older in the U.S. state of Georgia. Alcohol consumption patterns are routinely measured in the common core. In 2019, the state added a new item probing for bereavement in the prior 24 months predating the COVID-19 pandemic. Imputation and weighting techniques were applied to yield the population prevalence rates of new bereavement, bingeing, and their co-occurrence with other high-risk health behaviors and outcomes. Multivariate models, adjusted for age, gender, and race, were used to estimate the risk for other unhealthy behaviors posed by the co-occurrence of bereavement and bingeing. In Georgia, bereavement (45.8%), and alcohol consumption (48.8%) are common. Bereavement and alcohol use co-occurred among 1,796,817 people (45% of all drinkers) with a subset of 608,282 persons reporting bereavement combined with bingeing. The most common types of bereavement were death of a friend/neighbor (30.7%) or three plus deaths (31.8%). While bingeing is a known risk to public health, its co-occurrence with recent bereavement is a new observation. Public health surveillance systems need to monitor this co-occurrence to protect both individual and societal health. In a time of global bereavement, documenting its influence on binge drinking can support the work towards Sustainable Development Goal #3-Good health and Well-Being.

Metagenomic next-generation sequencing to characterize potential etiologies of non-malarial fever in a cohort living in a high malaria burden area of Uganda.

Causes of non-malarial fevers in sub-Saharan Africa remain understudied. We hypothesized that metagenomic next-generation sequencing (mNGS), which allows for broad genomic-level detection of infectious agents in a biological sample, can systematically identify potential causes of non-malarial fevers. The 212 participants in this study were of all ages and were enrolled in a longitudinal malaria cohort in eastern Uganda. Between December 2020 and August 2021, respiratory swabs and plasma samples were collected at 313 study visits where participants presented with fever and were negative for malaria by microscopy. Samples were analyzed using CZ ID, a web-based platform for microbial detection in mNGS data. Overall, viral pathogens were detected at 123 of 313 visits (39%). SARS-CoV-2 was detected at 11 visits, from which full viral genomes were recovered from nine. Other prevalent viruses included Influenza A (14 visits), RSV (12 visits), and three of the four strains of seasonal coronaviruses (6 visits). Notably, 11 influenza cases occurred between May and July 2021, coinciding with when the Delta variant of SARS-CoV-2 was circulating in this population. The primary limitation of this study is that we were unable to estimate the contribution of bacterial microbes to non-malarial fevers, due to the difficulty of distinguishing bacterial microbes that were pathogenic from those that were commensal or contaminants. These results revealed the co-circulation of multiple viral pathogens likely associated with fever in the cohort during this time period. This study illustrates the utility of mNGS in elucidating the multiple potential causes of non-malarial febrile illness. A better understanding of the pathogen landscape in different settings and age groups could aid in informing diagnostics, case management, and public health surveillance systems.

Device-associated infections in neonatal care units in a middle-income country, 2016–2018

ObjectiveDescribe the device-associated infections in the NICUs in Cali – Colombia, a middle-income country, between August 2016 to December 2018. MethodsObservational cross-sectional study evaluating reports of device-associated infections in 10 NICUs in Cali, Colombia, between August 2016 and December 2018. Socio-demographic and microbiological data were obtained from the National Public Health surveillance system, through a specialized notification sheet. The relationship of device-associated infections with several outcomes including birth weight, microorganisms, and mortality was evaluated using OR CI95%, using the logistic regression model. Data processing was performed using the statistical program STATA 16. Results226 device-associated infections were reported. The rate of infection with central line-associated bloodstream infections was 2.62 per 1000 days of device use and 2.32 per 1000 days for ventilator-associated pneumonia. This was higher in neonates under 1000 g; 4.59 and 4.10, respectively. 43.4% of the infections were due to gram-negative bacteria and 42.3% were due to gram-positive bacteria. Time from hospitalization to diagnosis of all device-associated infections had a median of 14 days. When compared by weight, infants with a weight lower than 1000 g had a greater chance of death (OR 3.61; 95% CI 1.53–8.49, p = 0.03). Infection by gram-negative bacteria was associated with a greater chance of dying (OR 3.06 CI 95 1.33–7.06, p = 0.008). ConclusionsThese results highlight the need to maintain epidemiological surveillance processes in neonatal intensive care units, especially when medical devices are used.

English

The severe acute respiratory syndrome coronavirus-2 is a highly communicable disease that emerged in the twilight of 2019 in Wuhan, China but rapidly spread globally, resulting in a pandemic. Given its novelty, scientific information about its origin, biology, spread and preventive measures trickled over time, which could have been responsible for the successful global spread. In this paper, relevant literature related to the spread of the disease was reviewed. A list of factors associated with the successful spread among the human population was documented and the challenges with public health surveillance systems and the lessons learnt were highlighted. Key words: Covid-19, coronavirus-2 (SARS-CoV-2 virus), pandemic, surveillance, zoonosis.

Overview and Methods for the Youth Risk Behavior Surveillance System — United States, 2021

The Youth Risk Behavior Surveillance System (YRBSS) is the largest public health surveillance system in the United States, monitoring a broad range of health-related behaviors among high school students. The system includes a nationally representative Youth Risk Behavior Survey (YRBS) and separate school-based YRBSs conducted by states, tribes, territories, and local school districts. In 2021, these surveys were conducted during the COVID-19 pandemic. The pandemic underscored the importance of data in understanding changes in youth risk behaviors and addressing the multifaceted public health needs of youths. This overview report describes 2021 YRBSS survey methodology, including sampling, data collection procedures, response rates, data processing, weighting, and analyses. The 2021 YRBS participation map, survey response rates, and a detailed examination of student demographic characteristics are included in this report. During 2021, in addition to the national YRBS, a total of 78 surveys were administered to high school students across the United States, representing the national population, 45 states, two tribal governments, three territories, and 28 local school districts. YRBSS data from 2021 provided the first opportunity since the onset of the COVID-19 pandemic to compare youth health behaviors using long-term public health surveillance. Approximately half of all student respondents represented racial and ethnic minority groups, and approximately one in four identified as lesbian, gay, bisexual, questioning, or other (a sexual identity other than heterosexual) (LGBQ+). These findings reflect shifts in youth demographics, with increased percentages of racial and ethnic minority and LGBQ+ youths compared with previous YRBSS cycles. Educators, parents, local decision makers, and other partners use YRBSS data to monitor health behavior trends, guide school health programs, and develop local and state policy. These and future data can be used in developing health equity strategies to address long-term disparities so that all youths can thrive in safe and supportive environments. This overview and methods report is one of 11 featured in this MMWR supplement. Each report is based on data collected using methods presented in this overview. A full description of YRBSS results and downloadable data are available (https://www.cdc.gov/healthyyouth/data/yrbs/index.htm).

Creating a clinical decision-making algorithm in order to build a one health knowledge repository to help support and improve the public health surveillance system

Creating a clinical decision-making algorithm in order to build a one health knowledge repository to help support and improve the public health surveillance system

Improving public health surveillance systems for acute post-streptococcal glomerulonephritis in Far North Queensland, Australia

Improving public health surveillance systems for acute post-streptococcal glomerulonephritis in Far North Queensland, Australia

Antibiotic consumption in secondary and tertiary hospitals in Colombia: national surveillance from 2018-2020.

To assess the compliance in secondary and tertiary level hospitals with monthly reporting of antibiotic consumption to the Colombian National Public Health Surveillance System (SIVIGILA-INS), and to describe reported antibiotic consumption during 2018-2020. This study involved a secondary analysis of antibiotic consumption data reported to SIVIGILA-INS. Frequency of hospital reporting was assessed and compared against expected reports, disaggregated by intensive care units (ICU)/non-ICU wards and geographical regions. Consumption was expressed as defined daily dose (DDD) per 100 occupied beds for seven antibiotics. More than 70% of hospitals reported antibiotic consumption at least once in each of the three years (79% in ICU and 71% in non-ICU wards). Of these, ICU monthly reporting was complete (12 monthly reports per year) for 59% in the period 2018-2019 but only 4% in 2020. Non-ICU reporting was complete for 52% in 2019 and for 2% in 2020. Most regions had an overall decrease in reporting in 2020. Analysis of antibiotic consumption showed an increase for piperacillin/tazobactam, ertapenem, and cefepime from 2019 to 2020. There were gaps in the consistency and frequency of reporting. Efforts are needed to improve compliance with monthly reporting, which declined in 2020, possibly due to the COVID-19 pandemic. Non-compliance on reporting and data quality issues should be addressed with the hospitals to enable valid interpretation of antibiotic consumption trends.

Overview of web-based public health surveillance system in Uttarakhand: Integrated health information platform under integrated disease surveillance programme

Overview of web-based public health surveillance system in Uttarakhand: Integrated health information platform under integrated disease surveillance programme - IJFCM- Print ISSN No: - 2394-6768 Online ISSN No:- 2394-6776 Article DOI No:- 10.18231/j.ijfcm.2023.001, Indian Journal of Forensic and Community Medicine-Indi

Comparative Performance Evaluation of the Public Health Surveillance Systems in 6 Gulf Cooperation Countries: Cross-sectional Study.

Evaluating public health surveillance systems is important to ensure that events of public health importance are appropriately monitored. Evaluation studies based on the Centers for Disease Control and Prevention (CDC) guidelines have been used to appraise surveillance systems globally. Previous evaluation studies undertaken in member countries of the Gulf Cooperation Council (GCC) were limited to specific illnesses within a single nation. We aimed to evaluate public health surveillance systems in GCC countries using CDC guidelines and recommend necessary improvements to enhance these systems. The CDC guidelines were used for evaluating the surveillance systems in GCC countries. A total of 6 representatives from GCC countries were asked to rate 43 indicators across the systems' level of usefulness, simplicity, flexibility, acceptability, sensitivity, predictive value positive, representativeness, data quality, stability, and timeliness. Descriptive data analysis and univariate linear regression analysis were performed. All surveillance systems in the GCC covered communicable diseases, and approximately two-thirds (4/6, 67%, 95% CI 29.9%-90.3%) of them covered health care-associated infections. The mean global score was 147 (SD 13.27). The United Arab Emirates scored the highest in the global score with a rating of 167 (83.5%, 95% CI 77.7%-88.0%), and Oman obtained the highest scores for usefulness, simplicity, and flexibility. Strong correlations were observed between the global score and the level of usefulness, flexibility, acceptability, representativeness, and timeliness, and a negative correlation was observed between stability and timeliness score. Disease coverage was the most substantial predictor of the GCC surveillance global score. GCC surveillance systems are performing optimally and have shown beneficial outcomes. GCC countries must use the lessons learned from the success of the systems of the United Arab Emirates and Oman. To maintain GCC surveillance systems so that they are viable and adaptable to future potential health risks, measures including centralized information exchange, deployment of emerging technologies, and system architecture reform are necessary.