A comparison of passive surveillance and active cluster-based surveillance for dengue fever in southern coastal Ecuador.

BACKGROUND: Dengue is a major emerging infectious disease, endemic throughout the tropics and subtropics, with approximately 2.5 billion people at risk globally. Active (AS) and passive surveillance (PS), when combined, can improve our understanding of dengue's complex disease dynamics to guide effective, targeted public health interventions. The objective of this study was to compare findings from the Ministry of Health (MoH) PS to a prospective AS arbovirus research study in Machala, Ecuador in 2014 and 2015. METHODS: Dengue cases in the PS system were compared to laboratory confirmed acute dengue illness cases that entered the AS study during the study period. Variables of interest included age class and sex. Outbreak detection curves by epidemiologic week, overall cumulative incidence and age-specific incidence proportions were calculated. Descriptive statistics were tabulated for all variables of interest. Chi-square tests were performed to compare demographic characteristics between the AS and PS data sets in 2014 and 2015. RESULTS: 177 and 245 cases were identified from 1/1/2014 to 12/31/2015 by PS and AS, respectively; nine cases appeared in both systems. AS identified a greater number of laboratory-confirmed cases in 2014, accounting for more than 60% of dengue cases in the study area. In 2015, the opposite trend was observed with PS identifying 60% of the dengue cases in the study area. Peak transmission time in laboratory confirmed dengue illness, as noted by AS and PS was similar in 2014, whereas earlier detection (7 weeks) was observed by AS in 2015. Younger patients were more frequently identified by PS, while older patients were identified more frequently by AS. The cumulative incidence proportion for laboratory confirmed dengue illness reported via PS to the MoH was 4.12 cases per 10,000 residents in 2014, and 2.21 cases per 10,000 residents in 2015. CONCLUSIONS: Each surveillance system captured distinct demographic subgroups within the Machala population, possibly due to differences in healthcare seeking behaviors, access to care, emerging threats of other viruses transmitted by the same mosquito vector and/or differences in clinical presentation. Integrating AS with pre-existing PS can aid in identifying additional cases in previously underdiagnosed subpopulations, improving our understanding of disease dynamics, and facilitating the implementation of timely public health interventions.

Risk of Serious Bacterial Infection in Infants Aged ≤60 Days Presenting to Emergency Departments with a History of Fever Only.

OBJECTIVE: To compare the risk of serious bacterial infection between infants aged ≤60 days who are febrile in the emergency department (ED) and those who have only a history of fever and are afebrile on arrival to the ED. STUDY DESIGN: In this secondary analysis of a multicenter prospective study using data collected between December 2008 and May 2013, we compared the rate of serious bacterial infection (urinary tract infection [UTI], bacteremia, and/or bacterial meningitis) between infants who have a history of fever but are afebrile on arrival to the ED and those with fever documented in the ED (rectal temperature ≥38.0 °C) using relative risk (RR) with 95% CI. Stratified analyses were performed for age (≤28 and 29-60 days) and serious bacterial infection type. Infants born prematurely and those with a clinical focal infection or serious illness were excluded. RESULTS: A total of 3825 infants (mean age, 35.2 days; 56.9% male) were included. Of the 1233 (32.2%) who were afebrile in the ED, 108 (8.8%) had a serious bacterial infection (UTI, n = 94 [7.6%]; bacteremia, n = 19 [1.5%]; bacterial meningitis, n = 8 [0.6%]). Of the 2592 infants (67.8%) who were febrile in the ED, 331 (12.8%) had a serious bacterial infection (UTI, n = 285 [11.0%]; bacteremia, n = 61 [2.4%]; bacterial meningitis, n = 17 [0.7%]). The RR for serious bacterial infection for afebrile vs febrile infants was 0.68 (95% CI, 0.56-0.84). A lower risk of serious bacterial infection was also seen among afebrile vs febrile infants aged ≤28 days (RR, 0.69; 95% CI, 0.52-0.93) and age 29-60 days (RR, 0.67; 95% CI, 0.50-0.89). CONCLUSIONS: The prevalence of serious bacterial infection is lower in infants aged ≤60 days with a history of fever compared with those who are febrile on arrival to the ED. The small risk reduction in this group is unlikely to alter decision making.

Risk of Bacterial Coinfections in Febrile Infants 60 Days Old and Younger with Documented Viral Infections.

OBJECTIVE: To determine the risk of serious bacterial infections (SBIs) in young febrile infants with and without viral infections. STUDY DESIGN: Planned secondary analyses of a prospective observational study of febrile infants 60 days of age or younger evaluated at 1 of 26 emergency departments who did not have clinical sepsis or an identifiable site of bacterial infection. We compared patient demographics, clinical, and laboratory findings, and prevalence of SBIs between virus-positive and virus-negative infants. RESULTS: Of the 4778 enrolled infants, 2945 (61.6%) had viral testing performed, of whom 1200 (48.1%) were virus positive; 44 of the 1200 had SBIs (3.7%; 95% CI, 2.7%-4.9%). Of the 1745 virus-negative infants, 222 had SBIs (12.7%; 95% CI, 11.2%-14.4%). Rates of specific SBIs in the virus-positive group vs the virus-negative group were: UTIs (33 of 1200 [2.8%; 95% CI, 1.9%-3.8%] vs 186 of 1745 [10.7%; 95% CI, 9.2%-12.2%]) and bacteremia (9 of 1199 [0.8%; 95% CI, 0.3%-1.4%] vs 50 of 1743 [2.9%; 95% CI, 2.1%-3.8%]). The rate of bacterial meningitis tended to be lower in the virus-positive group (0.4%) than in the viral-negative group (0.8%); the difference was not statistically significant. Negative viral status (aOR, 3.2; 95% CI, 2.3-4.6), was significantly associated with SBI in multivariable analysis. CONCLUSIONS: Febrile infants ≤60 days of age with viral infections are at significantly lower, but non-negligible risk for SBIs, including bacteremia and bacterial meningitis.

The impact of pediatric trauma in the Amish community.

OBJECTIVE: To describe the epidemiology of trauma in Amish children and to determine differences in treatment and outcome related to injury mechanism. STUDY DESIGN: In this retrospective review, data were collected on all Amish children with trauma requiring hospital admission. Demographic, interventional, and outcome data were collected. Categorical outcomes were compared by using chi-square, logistic regression, or Fisher exact test; continuous outcomes were compared with analysis of variance. RESULTS: A total of 135 trauma admissions were studied. There was a significant difference of proportion of injury by month (P < .01). The most common mechanisms of injury were falls (39%), buggy versus motor vehicle accidents (MVA; 16%), and animal injuries (14%). A total of 41% of patients required operative procedures, and 50% of subjects required intensive care. Animal injuries and buggy versus MVA were significantly associated with a requirement for surgery, increased length of stay, and increased severity (all P < .01). The overall mortality rate was 3%. There were significant associations between mechanism of injury and outcome scores (P < .05) and hospital charges (P < .05). CONCLUSIONS: The spectrum of traumatic injuries is unique among Amish children. These injuries contribute significantly to morbidity and mortality and impose a large monetary burden on the Amish community. Education may decrease the incidence of these events.