China ; epidemiology ; Communicable Disease Control ; statistics & numerical data ; Communicable Diseases ; epidemiology ; Disease Outbreaks ; Humans

Disease Outbreaks ; prevention & control ; statistics & numerical data ; Humans ; Severe Acute Respiratory Syndrome ; epidemiology ; Singapore ; epidemiology

Chickenpox ; prevention & control ; China ; Disease Outbreaks ; prevention & control ; Humans ; Schools ; Vaccination ; statistics & numerical data

OBJECTIVETo understand the threshold of Breteau Index (BI) on Dengue fever outbreak in Guangzhou.

METHODSDengue cases from Guangzhou during 2006 to 2012 in the National Infectious Disease Report and Management System were collected and described. Receiver-operating characteristic (ROC) curve was used to judge the threshold of BI on the outbreaks of Dengue fever.

RESULTSA total of 1 038 local cases were reported from 2006 to 2012 in Guangzhou city, with a total of 71 outbreaks and 259 sporadic episodes. Data from the ROC curve analysis showed that the highest Youden index that BI predicting Dengue fever outbreaks or sporadic were 6.4 and 9.5, respectively. When using BI = 6.4 in predicting the sporadic case of Dengue, sensitivity and specificity were 67.8% , 79.1% , respectively. When using BI = 9.5 in predicting the outbreaks of Dengue, sensitivity and specificity were 81.7%, 90.9%, respectively.

CONCLUSIONBoth BI = 5.0 and BI = 9.5 showed effects on predicting the nature of sporadic or outbreak on Dengue, suggesting that the threshold need to be monitored, according to the purpose of control and availability of manpower, in order to get better sensitivity and specificity.

China ; epidemiology ; Dengue ; epidemiology ; Disease Outbreaks ; statistics & numerical data ; Humans ; ROC Curve ; Sensitivity and Specificity

COVID-19/virology* ; China ; Disease Outbreaks ; Health Personnel/statistics & numerical data* ; Humans ; SARS-CoV-2/pathogenicity*

INTRODUCTIONSingapore is a transition country in Southeast Asia that is both vulnerable and receptive to the introduction and re-introduction of imported communicable diseases.

MATERIALS AND METHODSFor a 10-year period between 1998 and 2007 we studied the trend, epidemiological characteristics, proportion of imported versus local transmission of malaria, viral hepatitis (hepatitis A and E), enteric fevers (typhoid and paratyphoid), cholera, chikungunya and SARS.

RESULTSOf a total of 4617 cases of the above selected diseases notified in Singapore, 3599 (78.0%) were imported. The majority of the imported cases originated from Southeast Asia and the Indian subcontinent. Malaria constituted the largest bulk (of which 95.9% of the 2126 reported cases were imported), followed by hepatitis A (57.1% of 1053 cases imported), typhoid (87.6% of 596 cases imported), paratyphoid (87.6% of 241 cases imported), and hepatitis E (68.8% of 231 cases imported). Furthermore, there were 14 cases of imported cholera, 6 cases of imported severe acute respiratory syndrome (SARS) and 13 cases of imported chikungunya.

CONCLUSIONThis study underlines that diseases such as malaria, viral hepatitis and enteric fever occur in Singapore mainly because of importation. The main origin of importation was South and Southeast Asia. The proportion of imported diseases in relation to overall passenger traffic has decreased over the past 10 years.

Communicable Diseases ; epidemiology ; etiology ; transmission ; Disease Outbreaks ; statistics & numerical data ; Female ; Humans ; Male ; Population Surveillance ; Singapore ; epidemiology ; Travel ; Young Adult

OBJECTIVES: Investigations into foodborne illness, potentially caused by Kudoa septempunctata, has been ongoing in Korea since 2015. However, epidemiological analysis reporting and positive K septempunctata detection in feces in Korea has been limited. The aim of this study was to provide epidemiologic data analysis of possible food poisoning caused by K septempunctata in Korea. METHODS: This study reviewed 16 Kudoa outbreak investigation reports, including suspected cases between 2015 and 2016 in Gyeonggi province, Korea. Suspected Kudoa foodborne illness outbreak was defined as “evidence of K septempunctata in at least one sample.” The time and place of outbreak, patient symptoms and Kudoa (+) detection rate in feces was analyzed. RESULTS: Kudoa foodborne illness outbreaks occurred in most patients in August (22.6%) and in most outbreaks in April (25%). The attack rate was 53.9% and the average attack rate in patients who had consumed olive flounder was 64.7%. The average incubation period was 4.3 hours per outbreak. Diarrhea was the most common symptom which was reported by 91.5% patients. The Kudoa (+) detection rate in feces was 69.2% of cases. CONCLUSION: Monthly distribution of Kudoa foodborne illness was different from previous studies. The Kudoa (+) detection rate in feces decreased rapidly between 25.5 and 28.5 hours of the time interval from food intake to epidemiologic survey. To identify effective period of time of investigation, we believe additional study with extended number of cases is necessary.
Diarrhea ; Disease Outbreaks* ; Eating ; Feces ; Flounder ; Foodborne Diseases ; Gyeonggi-do* ; Humans ; Korea* ; Myxozoa ; Olea ; Seafood* ; Statistics as Topic

INTRODUCTIONSingapore was substantially affected by three 20th Century pandemics. This study describes the course of the pandemics, and the preventive measures adopted.

MATERIALS AND METHODSWe reviewed and researched a wide range of material including peer-reviewed journal articles, Ministry of Health reports, Straits Settlements reports and newspaper articles. Monthly mortality data were obtained from various official sources in Singapore.

RESULTSThe 1918 epidemic in Singapore occurred in 2 waves--June to July, and October to November--resulting in up to 3500 deaths. The 1957 epidemic occurred in May, and resulted in widespread morbidity, with 77,000 outpatient attendances in government clinics alone. The 1968 epidemic occurred in August and lasted a few weeks, with outpatient attendances increasing by more than 65%. The preventive measures instituted by the Singapore government during the pandemics included the closure of schools, promulgation of public health messages, setting up of influenza treatment centres, and screening at ports. Students, businessmen and healthcare workers were all severely affected by the pandemics.

CONCLUSIONSTropical cities should be prepared in case of a future pandemic. Some of the preventive measures used in previous pandemics may be applicable during the next pandemic.

Disease Outbreaks ; history ; statistics & numerical data ; History, 20th Century ; Humans ; Influenza, Human ; epidemiology ; history ; mortality ; Public Health ; history ; Singapore ; epidemiology

Google Flu Trends (GFT) was the first application of big data in the public health field. GFT was open online in 2009 and attracted worldwide attention immediately. However, GFT failed catching the 2009 pandemic H1N1 and kept overestimating the intensity of influenza-like illness in the 2012-2014 season in the United States. GFT model has been updated for three times since 2009, making its prediction bias controlled. Here, we summarized the mechanism GFT worked, the strategy GFT used to update, and its influence on public health.
Disease Outbreaks ; Humans ; Influenza A Virus, H1N1 Subtype ; Influenza, Human ; Internet ; Population Surveillance ; Public Health ; Statistics as Topic ; United States

We conducted an epidemiologic study to understand temporal and spatial patterns of hemorrhagic fever with renal syndrome (HFRS) in the Republic of Korea (ROK). We estimated the incidence among civilians in endemic areas through the active surveillance system during the major epidemic periods, from September to December, between 1996 and 1998. We also estimated the prevalence among Korean military personnel from 1995 to 1998. In addition, we assessed seroprevalence, subclinical infection rate, and vaccination rates in both civilians and military personnel. The incidence in civilians ranged from 2.1 to 6.6 per 100, 000 person-months. The annual prevalence in the military personnel was 40-64 per 100, 000 military populations, and remained generally constant throughout the study period with seasonal variation. This is the prospective epidemiologic data set on HFRS in the ROK since the inactivated Hantaan virus vaccine was licensed for use in the late 1990s. These results will be invaluable in establishing a national immunization program against HFRS.
Vaccination/statistics & numerical data ; Seroepidemiologic Studies ; Seasons ; Population Surveillance ; Military Personnel ; Korea ; Incidence ; Humans ; Hemorrhagic Fever with Renal Syndrome/*epidemiology/prevention & control ; Disease Outbreaks/*statistics & numerical data