School Absenteeism Surveillance System Research Articles

Nursery school absenteeism surveillance system and infection control measures in nursery schools

IntroductionThe Nursery School Absenteeism Surveillance System (NSASSy), which includes 40% of all nursery schools in Japan, has a degree of effectiveness that is difficult to prove: nursery schools and areas without NSASSy cannot be evaluated for their incidence of infectious diseases as precisely as those with NSASSy. Instead, we examine nursery school countermeasures against infectious diseases by considering the endogeneity bias of NSASSy. MethodAfter sending questionnaires to 500 Tokyo metropolitan and nearby nursery schools in November 2022, we received their responses through the end of 2022. Questionnaires asked about infection control measures of nursery schools: (1) cooperation with public health centers; (2) cooperation with staff; (3) cooperation with children's parents; (4) precautions among children; (5) countermeasure systems; (6) precaution systems; (7) recording of health conditions of children; (8) usefulness of studying while students; and (9) usefulness of training at nursery schools. Ordered probit with inverse probability weighted adjustment was used as the estimation procedure. The explanatory variable was a dummy variable for using NSASSy. Probability in weight was estimated using the first-step probit for NSASSy. Explanatory variables were a dummy variable for publicly funded nursery schools and a dummy variable for local governments that had adopted NSASSy. ResultsWe analyzed 193 nursery schools. NSASSy was negative and associated significantly with (3) cooperation with children's parents and (7) recording of health conditions of children. These countermeasures were more likely to have been taken by NSASSy nursery schools.

Cost‐effectiveness analysis of (Nursery) School Absenteeism Surveillance System

Our earlier report reported that the (Nursery) School Absenteeism Surveillance System ((N)SASSy) can decrease numbers of patients. This study evaluates (N)SASSy's cost-effectiveness. A social perspective is taken for economic evaluation. For simplicity, 8,000yen is assumed for direct medical costs. We assume the home health care duration to be 6days, with 30000yen as the indirect opportunity cost of family nursing. Benefit-cost ratios are used as indicators of cost-effectiveness. By multiplying the disease burden per patient by the reduced number of patients, the (N)SASSy effect was estimated as 206.9 billion yen, with 95% confidence interval of [67.3,346.6] billion yen. The total cost attributable to (N)SASSy throughout Japan is expected to be 2.63 billion yen. The benefit-cost ratio is expected to be approximately 60. The estimated benefit-cost ratio is much higher than that for the routine immunization of children.

Methods for detecting seasonal influenza epidemics using a school absenteeism surveillance system

BackgroundSchool absenteeism data have been collected daily by the public health unit in Wellington-Dufferin-Guelph, Ontario since 2008. To date, a threshold-based approach has been implemented to raise alerts for community-wide and within-school illness outbreaks. We investigate several statistical modelling approaches to using school absenteeism for influenza surveillance at the regional level, and compare their performances using two metrics.MethodsDaily absenteeism percentages from elementary and secondary schools, and report dates for influenza cases, were obtained from Wellington-Dufferin-Guelph Public Health. Several absenteeism data aggregations were explored, including using the average across all schools or only using schools of one type. A 10% absence threshold, exponentially weighted moving average model, logistic regression with and without seasonality terms, day of week indicators, and random intercepts for school year, and generalized estimating equations were used as epidemic detection methods for seasonal influenza. In the regression models, absenteeism data with various lags were used as predictor variables, and missing values in the datasets used for parameter estimation were handled either by deletion or linear interpolation. The epidemic detection methods were compared using a false alarm rate (FAR) as well as a metric for alarm timeliness.ResultsAll model-based epidemic detection methods were found to decrease the FAR when compared to the 10% absence threshold. Regression models outperformed the exponentially weighted moving average model and including seasonality terms and a random intercept for school year generally resulted in fewer false alarms. The best-performing model, a seasonal logistic regression model with random intercept for school year and a day of week indicator where parameters were estimated using absenteeism data that had missing values linearly interpolated, produced a FAR of 0.299, compared to the pre-existing threshold method which at best gave a FAR of 0.827.ConclusionsSchool absenteeism can be a useful tool for alerting public health to upcoming influenza epidemics in Wellington-Dufferin-Guelph. Logistic regression with seasonality terms and a random intercept for school year was effective at maximizing true alarms while minimizing false alarms on historical data from this region.

Association of influenza outbreak in each nursery school and community in a ward in Tokyo, Japan

In nursery schools, influenza outbreaks have occurred every year. However, influenza characteristics of its diffusion among nursery schools, within each nursery school, and among classes of different ages in nursery schools remains unclear. This paper presents an examination of these matters using the Nursery School Absenteeism Surveillance System (NSASSy). All nursery schools in ward A in Tokyo introduced to the NSASSy in 2015. The study period was November 2015 through March 2016. The data of influenza patients were extracted from NSASSy. We examined four definitions of ‘starting date of community outbreak’ (SDCO) of influenza: 1) the first recorded day of influenza patients (SDCO1), 2) the last day of influenza patients recorded for two consecutive days (SDCO2), 3) three consecutive days (SDCO3), and 4) four consecutive days (SDCO4). We evaluated those four definitions by duration of the initial case at each nursery school from SDCO and evaluated the proportion of nursery schools at which the initial case occurred before SDCO. The average durations of initial cases at respective nursery schools from SDCO1–4 were 40.3, 26.3, 23.1 and 13.3 days. The respective proportions of nursery schools at which the initial case occurred before SDCO1–4 were 3.1%, 6.4%, 9.4% and 40.6%. Results demonstrate that SDCO3 is an appropriate definition of SDCO. Robustness checks for other areas, seasons, and population size constitute the next challenge for research in this area.

Association among (Nursery) School Absenteeism Surveillance System and Incidence of Infectious Diseases

Association among (Nursery) School Absenteeism Surveillance System and Incidence of Infectious Diseases

Infection Control in Nursery Schools and Schools Using a School Absenteeism Surveillance System.

Infection control in nursery schools and schools is important for community health and the health of children. In Japan, caregivers of children or students usually report the absence due to illness to their attending nurseries or schools, including symptoms and diagnosed diseases. The (Nursery) School Absenteeism Surveillance System, (N)SASSy, covers about 60% of schools and 40% of nurseries in Japan. In this paper, we evaluated the benefits of (N)SASSy as an infection control measure by a public health center. Mito Public Health Center (MPHC) covers 58 nurseries and 186 schools, as of May 2015, and called the nurseries and/or schools to confirm the situation, in case of aberration detected through (N)SASSy. The outcome was defined as the proportion of cluster avoidance by advice from MPHC. A cluster was identified, when the number of patients at the same facility with the same symptom or diagnosed disease was greater than ten during the prior seven days. During the study period (April 2015-March 2016), MPHC advised 85 times, and clusters were avoided 82 times (96.5%). The proportion of cluster avoidance was 100% for fever, enterohemorrhagic Escherichia coli infection, respiratory syncytial virus infection, or streptococcal pharyngitis infection. The proportion of cluster avoidance for diarrhea, vomiting or gastroenteritis infection, mumps, hand-foot-mouth disease (HFMD), and influenza was 78.8, 50.0, 20.0, and 6.7%, respectively. In conclusion, advice from a public health center given by phone based on information from (N)SASSy will be helpful for reducing the number of clusters of infectious diseases, except for HFMD and influenza.

Outbreak Information Delivery to Families with (Pre)School Children and Its Contribution

Background: Infection transmission among them occurs easily and sometimes causes outbreaks at facilities where children live in groups. Early response is necessary for infection control measures to avoid larger clusters. In Japan, (Nursery) School Absenteeism Surveillance System ((N)SASSy), which is a kind of school absenteeism surveillance, has activated since 2007 and covers about 60% of all schools and 40% of all nursery schools in 2017. Objective: The objective of the present paper is investigation and demonstration of how caregivers receive information related to infectious diseases in Japan and how (N)SASSy contributes health of children. Method: We randomly selected subjects with children by pre-fecture in October, 2017. The survey questionnaire asked background information and information about infectious diseases to maintain health in children. We regressed health concern variables on background information and information provision situation about community outbreaks using weighted logistic regression. Results: We received responses from 1172 people. Estimation results showed higher concern about a facility providing information about community outbreak. Caregivers whose children attend facilities provided about community outbreak or covered (N)SASSy significantly higher opportunity to arrange a schedule when a child has a high fever. Discussion: The obtained results demonstrated that activation in (N)SASSy affects the possibility of arranging a schedule when a child has a high fever. This capability might improve community health.

Providing Infectious Disease Information to Child-Rearing Families and Its Evaluation

Background: Earlier study without actual trial indicated that caregivers needed delivery of information about outbreak situations independently of their job status. This report describes, for about two months in winter, actual delivery outbreak information to families with preschool children. The study objective was to confirm the usefulness of this information delivery. Method: Participants receiving outbreak information were recruited from the Child Care Support Service in a ward in Tokyo, Japan. Outbreak information was obtained from the Nursery School Absenteeism Surveillance System (NSASSy) covering approximately 40% of all nursery schools in Japan, prescription surveillance and other resources. Delivery of outbreak information started in December 2017 and ceased at the end of February in 2018. After the delivery period, a questionnaire survey was administered to participants. Results: For this area, NSASSy showed the most dominant disease was influenza, with 707 patients, followed by group A streptococcal pharyngitis with 98 patients. The outbreak peak was inferred to be as Monday, 22 January, and it was announced by e-mail on 23 January. Of the 202 persons joined this trial, 60 participants responded to the questionnaire survey after the delivery period. Of those respondents, 98% wanted delivery of that information to continue. Conclusion: We found that almost all respondents confirmed usefulness of the information about infectious diseases which was delivered.

Predicting Influenza Outbreak in One Nursery and in the Community Using the Nursery and School Absenteeism Surveillance System

Predicting Influenza Outbreak in One Nursery and in the Community Using the Nursery and School Absenteeism Surveillance System

Outbreak of Human Metapneumovirus in Ibaraki, Japan and Its Descriptive Epidemiology

Introduction: The Infection Control Law in Japan does not cover monitoring of human metapneumovirus (HMPV). Therefore, its epidemiology is not well known. However, rapid diagnostic testing for this virus has been reimbursed by public health insurance in Japan since 2014. One case of acute encephalitis caused by HMPV was reported in April 2017 in Ibaraki. All schools in Ibaraki prefecture started to participate in the (Nursery) School Absenteeism Surveillance System ((N)SASSy) in 2009. All nursery schools started to use it in 2012. Methods: We specifically examine its seasonality and incidence by age. The study period extends from October 1, 2014 through May 31, 2017. Results: In total, (N)SASSy received 187 cases during the period. Spring and early summer were apparently the high season. The highest incidence was 36 cases in April 2015. The incidence among zero and one year olds was higher in 2017 than in the same season among 2014-2016. The necessary effort to download data from (N)SASSy, show these figures, and confirm the situation and background was a few minutes. Discussion: Rapid diagnostic testing for HMPV elucidated its epidemiology for the first time. Moreover, timely information sharing through (N)SASSy led the Ibaraki prefectural office to publish a reminder in July 2017 about the HMPV outbreak situation and to encourage precautions against it by nursery schools.

Enhanced Surveillance for National (Handicapped) Sports Games in Wakayama, Japan 2015

Introduction: We undertook enhanced surveillance of the 2015 Kinokuni Wakayama National Sports Games (70th National Sports Games) and the Kinokuni Wakayama Handicapped Sports Games (15th National Handicapped Sports Games) held in Wakayama prefecture in 2015, for which this paper presented operational details and an evaluation. Methods: Enhanced surveillance conducted involved (Nursery) School Absenteeism Surveillance system ((N)SASSy), Prescription Surveillance, and Ambulance Transfer Surveillance from 30 August through 9 November. We evaluated those surveillances on all days including weekends, integrated the results as a daily report, and published it on the web. Results: We found no cluster or cases requiring more tracing and investigation except for suspected cases of rubella in (N)SASSy. Moreover, no moderate aberration was found for two consecutive days for the same area and symptom. Conclusion: Our experience with this enhanced surveillance presents important lessons for countermeasures by local governments for mass gatherings or politically important events.

Descriptive Epidemiology for <i>Mycoplasma pneumoniae</i> Infection Using (Nursery) School Absenteeism Surveillance System, and Proposal for Countermeasures

Objective: We present descriptive epidemiology of Mycoplasma infection using the (Nursery) School Absenteeism Surveillance System ((N)SASSy) in addition to national official sentinel surveillance for infectious diseases (NOSSID). It is expected to be helpful for early detection and response to outbreak of Mycoplasma infection and also to be useful for antimicrobial resistance measures. Method: The study period was 2010-2014 seasons. The study area was the whole of Ibaraki prefecture, Japan. NOSSID reports the number of patients with Mycoplasma pneumonia from 13 sentinel hospitals. We compare the number of patients and the incidence rate of NOSSID with the same information in (N)SASSy. Result: In NOSSID, the largest number of patients by age was 27 patients of one year old in 2012. (N)SASSy showed that the incidence rate in the elementary schools is high in 2011 and 2012. Especially, the second grade students were the highest. Discussion: Even though Mycoplasma infection is well known as a pediatric disease, we showed that second grade was the highest in incidence at first. Because (N)SASSy is timely and real-time information collection, evaluation and sharing countermeasures with (nursery) schools, public health centers, and physicians are useful for students and nursery school children, and communities. Conclusion: Because mycoplasma infection is common pediatric infectious diseases and because some patients rarely develop severe infections, we must prevent larger outbreaks. (N)SASSy can provide timely intervention at the initial phase of outbreak by monitoring situations in (nursery) schools and comparing data to baseline information.

A Smart Card-Based Electronic School Absenteeism System for Influenza-Like Illness Surveillance in Hong Kong: Design, Implementation, and Feasibility Assessment.

BackgroundSchool-aged children have the highest incidence of respiratory virus infections each year, and transmission of respiratory viruses such as influenza virus can be a major concern in school settings. School absenteeism data have been employed as a component of influenza surveillance systems in some locations. Data timeliness and system acceptance remain as key determinants affecting the usefulness of a prospective surveillance system.ObjectiveThe aim of this study was to assess the feasibility of implementing an electronic school absenteeism surveillance system using smart card–based technology for influenza-like illness (ILI) surveillance among a representative network of local primary and secondary schools in Hong Kong.MethodsWe designed and implemented a surveillance system according to the Protocol for a Standardized information infrastructure for Pandemic and Emerging infectious disease Response (PROSPER). We employed an existing smart card–based education and school administration platform for data capture, customized the user interface, and used additional back end systems built for other downstream surveillance steps. We invited local schools to participate and collected absenteeism data by the implemented system. We compared temporal trend of the absenteeism data with data from existing community sentinel and laboratory surveillance data.ResultsWe designed and implemented an ILI surveillance system utilizing smart card–based attendance tracking approach for data capture. We implemented the surveillance system in a total of 107 schools (including 66 primary schools and 41 secondary schools), covering a total of 75,052 children. The system successfully captured information on absences for 2 consecutive academic years (2012-2013 and 2013-2014). The absenteeism data we collected from the system reflected ILI activity in the community, with an upsurge in disease activity detected up to 1 to 2 weeks preceding other existing surveillance systems.ConclusionsWe designed and implemented a novel smart card technology–based school absenteeism surveillance system. Our study demonstrated the feasibility of building a large-scale surveillance system riding on a routinely adopted data collection approach and the use of simple system enhancement to minimize workload implication and enhance system acceptability. Data from this system have potential value in supplementing existing sentinel influenza surveillance for situational awareness of influenza activity in the community.

Enhanced Public Health Surveillance for the Sixth Worldwide Uchinanchu Festival Conducted by the Okinawa Prefectural Government, Japan

Objective: The Okinawa prefectural government conducted enhanced surveillance for the Sixth Worldwide Uchinanchu Festival, with participation of more than 5300 visitors from abroad, many of whom were Okinawan or of Okinawan descent, for early detection of Zika virus disease and other potential public health threat outbreaks. Method: Enhanced surveillance conducted from 12 October through 13 November involved four surveillance systems, (Nursery) School Absenteeism Surveillance system ((N)SASSy), Prescription Surveillance (PS), and Official Syndromic Surveillance (OSS), each of them operates routinely, in addition to case-based and sentinel surveillance under the Infectious Diseases Control Law as Official National Surveillance of Infectious Diseases (ONSID). This enhanced surveillance was conducted for analysis and evaluation, with intensive information sharing among concerned parties. Result: We performed the enhanced surveillance for 33 days from 12 October through 13 November. Information from enhanced surveillance was analyzed and evaluated, and eventually summarized as a daily report. There has been one rubella case at an elementary school in Okinawa City on 20 October and a measles case at an elementary school in Uruma City on 2 November. Those two cases were registered into (N)SASSy on a timely basis. The public health center investigated them quickly, and the measles case was denied later because symptoms did not satisfy with case definition. Discussion: We regard enhanced surveillance as useful to confirm events that might demand a public health response. Moreover, the related including public health centers or medical institutions confirmed the situation as valuable for the administrative structure. However, because almost all (nursery) schools or pharmacies are closed during successive holidays, outbreaks that occur on such days cannot be recognized on a timely basis. More sensitive surveillance for such days, with better preparations for ambulance transfer and at emergency departments in hospitals remains as a challenge for future work.

Model-Based Comprehensive Analysis of School Closure Policies for Mitigating Influenza Epidemics and Pandemics.

School closure policies are among the non-pharmaceutical measures taken into consideration to mitigate influenza epidemics and pandemics spread. However, a systematic review of the effectiveness of alternative closure policies has yet to emerge. Here we perform a model-based analysis of four types of school closure, ranging from the nationwide closure of all schools at the same time to reactive gradual closure, starting from class-by-class, then grades and finally the whole school. We consider policies based on triggers that are feasible to monitor, such as school absenteeism and national ILI surveillance system. We found that, under specific constraints on the average number of weeks lost per student, reactive school-by-school, gradual, and county-wide closure give comparable outcomes in terms of optimal infection attack rate reduction, peak incidence reduction or peak delay. Optimal implementations generally require short closures of one week each; this duration is long enough to break the transmission chain without leading to unnecessarily long periods of class interruption. Moreover, we found that gradual and county closures may be slightly more easily applicable in practice as they are less sensitive to the value of the excess absenteeism threshold triggering the start of the intervention. These findings suggest that policy makers could consider school closure policies more diffusely as response strategy to influenza epidemics and pandemics, and the fact that some countries already have some experience of gradual or regional closures for seasonal influenza outbreaks demonstrates that logistic and feasibility challenges of school closure strategies can be to some extent overcome.

Early detection and response for measles and rubella cases through the (Nursery) School Absenteeism Surveillance System in Ibaraki Prefecture.

Objectives In Ibaraki Prefecture, all (nursery) schools have joined the (Nursery) School Absenteeism Surveillance System (hereafter denoted as (N)SASSy), which is operated by the Japan School Health Association to monitor the prevalence of infectious diseases, the early detection and response for outbreaks, and prevention of large outbreaks. Prefectural government officers also utilize it as a control measure for infectious diseases. In particular, when cases of measles or rubella are registered, (N)SASSy sends e-mails automatically to prefectural government officers to activate control measures. This paper summarizes administrative responses by prefectural government officers for measles or rubella cases using (N)SASSy and discusses the future challenges.Methods We summarized registration, detection, and first response data for measles or rubella cases in (N)SASSy and compared the number of detected and reported cases enforced by the Infectious Diseases Control Law from January 1, 2013 to December 31, 2014.Results The public health center questioned hospitals/clinics and (nursery) schools about all registered measles or rubella cases in (N)SASSy on the same day to check the entered information. In the past 2 years, there were 5 measles and 56 rubella cases in 2013 and 1 measles and 19 rubella cases in 2014 registered with (N)SASSy. All cases were checked and investigated by the public health center. Of all cases detected by (N)SASSy, 7 rubella cases in 2013 and 1 rubella case in 2014 were reported based on the law. No measles cases were reported in the 2 years. The results of investigations and laboratory tests were given as feedback to the (nursery) schools. If the case did not case definition determined by the law, we changed the status in (N)SASSy to suspected or discarded cases.Conclusion Since (N)SASSy assists prefectural government officers with earlier detection of and response for infectious diseases, it definitely contributes to infection control. Immediate feedback of the laboratory test results to the (nursery) schools was also useful to confirm cases of measles or rubella. As data entry in (nursery) schools is needed for stable operation and utilization of (N)SASSy, it is important that workshops for (N)SASSy are held for (nursery) school teachers every year to maintain accuracy. Our future challenges include the coordination among (nursery) schools, hospitals/clinics, and prefectural government and their applications for infection control.

Case study of early detection and intervention of infectious disease outbreaks in an institution using Nursery School Absenteeism Surveillance Systems (NSASSy) of the Public Health Center.

Objectives Detecting outbreaks early and then activating countermeasures based on such information is extremely important for infection control at childcare facilities. The Sumida ward began operating the Nursery School Absenteeism Surveillance System (NSASSy) in August 2013, and has since conducted real-time monitoring at nursery schools. The Public Health Center can detect outbreaks early and support appropriate intervention. This paper describes the experiences of Sumida Public Health Center related to early detection and intervention since the initiation of the system.Methods In this study, we investigated infectious disease outbreaks detected at 62 nursery schools in the Sumida ward, which were equipped with NSASSy from early November 2013 through late March 2015. We classified the information sources of the detected outbreak and responses of the public health center. The sources were (1) direct contact from some nursery schools, (2) messages from public officers with jurisdiction over nursery schools, (3) automatic detection by NSASSy, and (4) manual detection by public health center officers using NSASSy. The responses made by the health center were described and classified into 11 categories including verification of outbreak and advice for caregivers.Results The number of outbreaks detected by the aforementioned four information sources was zero, 25, 15, and 7 events, respectively, during the first 5 months after beginning NSASSy. These numbers became 5, 7, 53, and 25 events, respectively, during the subsequent 12 months. The number of outbreaks detected increased by 47% during the first 5 months, and by 87% in the following 12 months. The responses were primarily confirming the situation and offering advice to caregivers.Conclusion The Sumida Public Health Center ward could achieve early detection with automatic or manual detection of NSASSy. This system recently has become an important detection resource, and has contributed greatly to early detection. Because the Public Health Center can use it to achieve real-time monitoring, they can recognize emergent situations and intervene earlier, and thereby give feedback to the nursery schools. The system can contribute to providing effective countermeasures in these settings.

Utilization Level of the School Absenteeism Surveillance System and Training Course for the School Nurses

Utilization Level of the School Absenteeism Surveillance System and Training Course for the School Nurses

Evaluation of an Electronic Smart-Card Based School Absenteeism Surveillance System

We evaluated the performance of an electronic smart-card based school absenteeism surveillance system which was initiated in 2008 in Hong Kong. The result demonstrated the feasibility and potential benefit of employing electronic school absenteeism data as captured automatically by a smart card system as an alternative data stream for monitoring influenza activities, and flexibility in establishing surveillance for emerging diseases. The increasing popularity of usage of smart card technology in various community settings might also represent potentially timely and cost-effective opportunities for innovative surveillance systems.

The Influenza Outbreak in 2014/2015 Season, in Sumida Ward, through the (Nursery) School Absenteeism Surveillance System

The Influenza Outbreak in 2014/2015 Season, in Sumida Ward, through the (Nursery) School Absenteeism Surveillance System