INTRODUCTION: Pediatric tuberculosis (TB) cases are sentinel events for Mycobacterium tuberculosis transmission in communities because children, by definition, must have been infected relatively recently. However, these events are not consistently identified by genotype-dependent surveillance alerting methods because many pediatric TB cases are not culture-positive, a prerequisite for genotyping. METHODS: We developed 3 potential indicators of ongoing TB transmission based on identifying counties in the United States with relatively high pediatric (aged <15 years) TB incidence: (1) a case proportion indicator: an above-average proportion of pediatric TB cases among all TB cases; (2) a case rate indicator: an above-average pediatric TB case rate; and (3) a statistical model indicator: a statistical model based on a significant increase in pediatric TB cases from the previous 8-quarter moving average. RESULTS: Of the 249 US counties reporting ≥2 pediatric TB cases during 2009-2017, 240 and 249 counties were identified by the case proportion and case rate indicators, respectively. The statistical model indicator identified 40 counties with a significant increase in the number of pediatric TB cases. We compared results from the 3 indicators with an independently generated list of 91 likely transmission events involving ≥2 pediatric cases (ie, known TB outbreaks or case clusters with reported epidemiologic links). All counties with likely transmission events involving multiple pediatric cases were identified by ≥1 indicator; 23 were identified by all 3 indicators. PRACTICE IMPLICATIONS: This retrospective analysis demonstrates the feasibility of using routine TB surveillance data to identify counties where ongoing TB transmission might be occurring, even in the absence of available genotyping data.

We previously reported use of genotype surveillance data to predict outbreaks among incident tuberculosis clusters. We propose a method to detect possible outbreaks among endemic tuberculosis clusters. We detected 15 possible outbreaks, of which 10 had epidemiologic data or whole-genome sequencing results. Eight outbreaks were corroborated.

Purpose The number of fetal deaths in the United States each year exceeds that of infant deaths. High quality fetal death certificate data are necessary for states to effectively address preventable fetal deaths. We evaluated completeness of detection of fetal deaths among Wyoming residents that occur out-of-state, quality of cause-of-death data, and timeliness of Wyoming fetal death certificate registration during 2006-2013. Description The numbers of out-of-state fetal deaths among Wyoming residents recorded by Wyoming surveillance and reported by the National Vital Statistics System were compared. Quality of cause-of-death data was assessed by calculating percentage of fetal death certificates completed in Wyoming with ill-defined, unknown, or missing cause-of-death entries. Timeliness was determined using the time between the fetal death and filing of the fetal death certificate with the Wyoming Department of Health Vital Statistics Service. Assessment Wyoming surveillance detected none of the 76 out-of-state fetal deaths among Wyoming residents reported by the National Vital Statistics System. Among 263 fetal death certificates completed in Wyoming and collected by Wyoming surveillance, 108 (41%) contained ill-defined, unknown, or missing cause-of-death entries. Median duration between the fetal death and filing with the Wyoming Vital Statistics Service was 33 days. Conclusion Wyoming fetal mortality surveillance is limited by failure to register out-of-state fetal deaths among residents, poor quality of cause-of-death data, and lack of timeliness. Strategies to improve surveillance include automating interjurisdictional sharing of fetal death data, certifier education, and electronic fetal death registration.