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 JBM  Vol.7 No.12 , December 2019
Outbreak Information Delivery to Families with (Pre)School Children and Its Contribution
Abstract: 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.
Cite this paper: Sugawara, T. , Ohkusa, Y. and Nohora, M. (2019) Outbreak Information Delivery to Families with (Pre)School Children and Its Contribution. Journal of Biosciences and Medicines, 7, 31-43. doi: 10.4236/jbm.2019.712004.
References

[1]   Nohara, M. and Kato, I. (2011) Child Raising Support for Working Parents: A Follow-Up Study at a Daycare Facility. Journal of Tokyo Women’s Medical University, 81, 408-415. (In Japanese)

[2]   Nohara, M., Kurita, J., Sugawara, T., et al. (2018) Does Family with Children Need Information of Infectious Disease? Journal of Biosciences and Medicines, 6, 53-63.
https://doi.org/10.4236/jbm.2018.612005

[3]   Nohora, M., Kurita, J., Sugawara, T., et al. (2019) Providing Infectious Disease Information to Child-Rearing Families and Its Evaluation. Health, 11, 1135-1146.
https://doi.org/10.4236/health.2019.119087

[4]   Shimatani, N., Sugishita, Y., Sugawara, T., et al. (2015) Enhanced Surveillance for the Sports Festival in Tokyo 2013: Preparation for the Tokyo 2020 Olympic and Paralympic Games. Japanese Journal of Infectious Diseases, 68, 288-295.
https://doi.org/10.7883/yoken.JJID.2014.233

[5]   Matsumoto, K., Hirayama, C., Sakuma, Y., et al. (2016) Case Study of Early Detection and Intervention of Infectious Disease Outbreaks in an Institution Using Nursery School Absenteeism Surveillance Systems ((N)SASSy) of the Public Health Center. Nihon Koshu Eisei Zasshi, 63, 325-331. (In Japanese)

[6]   Watanabe, M., Kurita, J., Takagi, T., et al. (2016) Early Detection and Response for Measles and Rubella Cases through the (Nursery) School Absenteeism Surveillance System in Ibaraki Prefecture. Nihon Koshu Eisei Zasshi, 63, 209-214. (In Japanese)

[7]   Sugawara, T., Fujimoto, T., Ohkusa, Y., et al. (2012) The Possibility of Outbreak Control by Real-Time Surveillance with PCR Method Performed Immediately—A Case Study of Hand Foot and Mouth Disease Outbreak in a Day Care Facility for Children. Kansenshōgaku Zasshi, 86, 405-410. (In Japanese)
https://doi.org/10.11150/kansenshogakuzasshi.86.405

[8]   Matsumoto, K., Sugawara, T. and Ohkusa, Y. (2015) The Influenza Outbreak in 2014/2015 Season, in Sumida Ward, through the (Nursery) School Absenteeism Surveillance System. Kansenshōgaku Zasshi, 89, 748-749. (In Japanese)
https://doi.org/10.11150/kansenshogakuzasshi.89.748

[9]   Kurita, J., Nagasu, N., Sakurai, N., et al. (2019) Descriptive Epidemiology for Mycoplasma pneumoniae Infection Using (Nursery) School Absenteeism Surveillance System, and Proposal for Countermeasures. Journal of Biosciences and Medicines, 6, 33-42.
https://doi.org/10.4236/jbm.2018.610005

[10]   Kurita, J., Nagasu, N., Nagata, N., et al. (2018) Outbreak of Human Metapneumovirus in Ibaraki, Japan and Its Descriptive Epidemiology. Health, 10, 749-757.
https://doi.org/10.4236/health.2018.106057

[11]   Kurita, J., Nagasu, N., Sugawara, T. and Ohkusa, Y. (2019) Infection Control in Nursery Schools and Schools Using a School Absenteeism Surveillance System. Tohoku Journal of Experimental Medicine, 247, 173-178.
https://doi.org/10.1620/tjem.247.173

[12]   Kurita, J., Sugawara, T., Matsumoto, K., et al. (2018) Association among (Nursery) School Absenteeism Surveillance System and Incidence of Infectious Diseases. School Health, 14, 21-27.
https://doi.org/10.1111/ped.14023

[13]   Besculides, M., Heffernan, R., Mostashari, F., et al. (2005) Evaluation of School Absenteeism Data for Early Outbreak Detection, New York City. BMC Public Health, 5, 105.
https://doi.org/10.1186/1471-2458-5-105

[14]   Schmidt, W.P., Pebody, R. and Mangtani, P. (2010) School Absence Data for Influenza Surveillance: A Pilot Study in the United Kingdom. Eurosurveillance, 15, pii: 19467.

[15]   Cheng, C.K., Cowling, B.J., Lau, E.H., et al. (2012) Electronic School Absenteeism Monitoring and Influenza Surveillance, Hong Kong. Emerging Infectious Disease, 18, 885-887.
https://doi.org/10.3201/eid1805.111796

[16]   Kom Mogto, C.A., De Serres, G., Douville Fradet, M., et al. (2012) School Absenteeism as an Adjunct Surveillance Indicator: Experience during the Second Wave of the 2009 H1N1 Pandemic in Quebec, Canada. PLoS ONE, 7, e34084.
https://doi.org/10.1371/journal.pone.0034084

[17]   Cheng, C.K.Y., Channarith, H. and Cowling, B.J. (2013) Potential Use of School Absenteeism Record for Disease Surveillance in Developing Countries, Case Study in Rural Cambodia. PLoS ONE, 8, e76859.
https://doi.org/10.1371/journal.pone.0076859

[18]   Fan, Y., Yang, M., Jiang, H., et al. (2014) Estimating the Effectiveness of Early Control Measures through School Absenteeism Surveillance in Observed Outbreaks at Rural Schools in Hubei, China. PLoS ONE, 9, e106856.
https://doi.org/10.1371/journal.pone.0106856

[19]   Aldridge, R.W., Hayward, A.C., Field, N., et al. (2016) Are School Absences Correlated with Influenza Surveillance Data in England? Results from Decipher My Data: A Research Project Conducted through Scientific Engagement with Schools. PLoS ONE, 11, e0146964.
https://doi.org/10.1371/journal.pone.0146964

[20]   Xu, W., Chen, T., Dong, X., et al. (2017) Outbreak Detection and Evaluation of a School-Based Influenza-Like-Illness Syndromic Surveillance in Tianjin, China. PLoS ONE, 12, e0184527.
https://doi.org/10.1371/journal.pone.0184527

 
 
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