Objective: A Dengue outbreak was reported in Dongfen town Jianou county, Fujian province on September 19, 2014. The goal of this project was to explore the role of syndromic surveillance program in the practice of early detection on disease outbreak through the case mentioned above.
Methods: The authors retrospectively collected data related to Outpatient log and Pharmacy drug use in Dongfen township hospital through the electronic information system of the hospital from August to November, 2014. All the abnormal events were recorded, according to related data on fever and drug use. Description of fever, syndromic characteristics, correlation and Linear regression analyses were conducted, using the surveillance data on fever syndrome and drug use from the pharmacy.
Results: A total of 1 102 cases with fever and 2 437 fever-related clinic visits were reported which showing an increased number of 19.6, 10.2 times respectively, when compared to the same period of the previous year in which men accounted for 45.3% (499/1 102) and female accounted for 54.7% (603/1 102). Age groups presented an atypical type " M" type. 5 and 10 year olds groups formed the largest proportion, accounted for 11.5% (127/1 102) of the total number os the patients. The correlation coefficient ranged from 0.85 to 0.97 (P<0.05). Data from the syndromic surveillance program showed an " outbreak" was occured in August 23, 2014.
Conclusions: Compared to routine surveillance program, the syndromic surveillance program could detect the appearence of an outbreak, a month or even more earlier. The role of syndromic surveillance program needs to be further explored.
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http://dx.doi.org/10.3760/cma.j.issn.0254-6450.2016.04.018 | DOI Listing |
J Travel Med
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National Reference Center for Arboviruses, Inserm-IRBA, Marseille, France.
Cad Saude Publica
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Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brasil.
Syndromic surveillance using primary health care (PHC) data is a valuable tool for early outbreak detection, as demonstrated by the potential to identify COVID-19 outbreaks. However, the potential of such an early warning system in the post-COVID-19 era remains largely unexplored. We analyzed PHC encounter counter of respiratory complaints registered in the database of the Brazilian Unified National Health System from October 2022 to July 2023.
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January 2025
Beijing Center for Disease Prevention and Control, Beijing, China.
Listeriosis is a relatively rare but severe foodborne disease, which has significant public health concern of persons with underlying conditions and pregnant women. This study aimed to estimate the morbidity, mortality, and fatality rates of listeriosis over a 10-year period and clarify the epidemiological features of the pathogen in Beijing, China, based on voluntary reporting of sentinel surveillance. A total of 228 listeriosis cases were reported with annual morbidity rate of 1.
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Global Immunization Division, United States Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
Background/objectives: Congenital rubella syndrome (CRS) is a constellation of serious multi-organ birth defects following rubella virus infection during early pregnancy. Countries in which rubella vaccination has not yet been introduced can have a high burden of this disease. Data on CRS burden and epidemiology are needed to guide the introduction of a rubella vaccine and monitor progress for rubella elimination, but the multi-system nature of CRS manifestations and required specialized testing creates a challenge for conducting CRS surveillance in developing settings such as Sudan.
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December 2024
Animal Production and Health Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Wagramer Strasse 5, P.O. Box 100, 1400 Vienna, Austria.
Abortion is one of the major causes of economic losses in livestock production worldwide. Because several factors can lead to abortion in cattle, sheep and goats, laboratory diagnosis, including the molecular detection of pathogens causing abortion, is often necessary. Bacterial zoonotic diseases such as brucellosis, coxiellosis, leptospirosis, and listeriosis have been implicated in livestock abortion, but they are under diagnosed and under-reported in most developing countries, including Botswana.
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