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Following the large outbreak of Zika virus in the Western Hemisphere, many infants have been born with congenital Zika virus infection. It is important to describe the functional outcomes seen with congenital infections to allow for their recognition and appropriate interventions. We evaluated 120 children conceived during the 2015–2016 Zika virus outbreak in Paraíba, Brazil, who were approximately 24 months old, to assess functional outcomes. All children met either anthropometric criteria or laboratory criteria suggestive of possible congenital Zika virus infection. We collected results of previous medical evaluations, interviewed parents, and performed physical examinations and functional assessments, for example, the Hammersmith Infant Neurological Examination (HINE). We compared patterns of neurologic outcomes and developmental delay at age 24 months by whether children met anthropometric or laboratory criteria, or both. Among children meeting both criteria, 60% (26/43) were multiply affected (had severe motor impairment, severe developmental delay, and suboptimal HINE scores), compared with 5% (3/57) meeting only laboratory criteria and none (0/20) meeting only anthropometric criteria. Of the remaining 91 children, 49% (45) had developmental delay, with more severe delay seen in children meeting both criteria. Although children meeting physical and laboratory criteria for potential congenital Zika virus infection were more severely affected, we did identify several children with notable adverse neurologic outcomes and developmental delay with no physical findings but potential laboratory evidence of Zika virus infection. Given this, all children who were potentially exposed in utero to Zika virus should be monitored in early childhood for deficits to allow for early intervention.

This article describes novel methods of applying the Ages and Stages Questionnaire-3rd edition (ASQ-3) to assess and quantify developmental delay among children following the 2015-2016 Zika virus outbreak in Brazil. Many of the children with Zika virus infection were expected to have severe developmental delay. However, administering the ASQ-3 to caregivers of these children according to standard protocol would have screened for the overall presence of delay but not the severity of delay. We adopted an amended protocol for administration of the ASQ-3 to quantify the developmental functioning of children severely affected by Zika virus infection in this investigation. Protocols for administering the ASQ-3 among this population were drafted in consultation with developmental measurement experts and are presented here. Specific developmental estimates are discussed, including developmental age equivalents, developmental quotients, and developmental quotient z scores. The calculations of these estimates are presented with examples in the context of the 2015-2016 Zika virus outbreak and associated microcephaly among prenatally infected children from 2 states in northeastern Brazil. Potential applications of these methods for estimating developmental ability among similar pediatric populations are discussed.

On January 13, 2018, at 8:07 a.m. Hawaii Standard Time, an errant emergency alert was sent to persons in Hawaii. An employee at the Hawaii Emergency Management Agency (EMA) sent the errant alert via the Wireless Emergency Alert (WEA) system and the Emergency Alert System (EAS) during a ballistic missile preparedness drill, advising persons to seek shelter from an incoming ballistic missile. WEA delivers location-based warnings to wireless carrier systems, and EAS sends alerts via television and radio (1). After 38 minutes, at 8:45 a.m., Hawaii EMA retracted the alert via WEA and EAS (2). To understand the impact of the alert, social media responses to the errant message were analyzed. Data were extracted from Twitter* using a Boolean search for tweets (Twitter postings) posted on January 13 regarding the false alert. Tweets were analyzed during two 38-minute periods: 1) early (8:07-8:45 a.m.), the elapsed time the errant alert circulated until the correction was issued and 2) late (8:46-9:24 a.m.), the same amount of elapsed time after issuance of the correction. A total of 5,880 tweets during the early period and 8,650 tweets during the late period met the search criteria. Four themes emerged during the early period: information processing, information sharing, authentication, and emotional reaction. During the late period, information sharing and emotional reaction themes persisted; denunciation, insufficient knowledge to act, and mistrust of authority also emerged as themes. Understanding public interpretation, sharing, and reaction to social media messages related to emergencies can inform development and dissemination of accurate public health messages to save lives during a crisis.

The unique characteristics of children dictate the need for school-based all-hazards response plans during natural disasters, emerging infectious diseases, and terrorism (1-3). Schools are a critical community institution serving a vulnerable population that must be accounted for in public health preparedness plans; prepared schools are adopting policies and plans for crisis preparedness, response, and recovery (2-4). The importance of having such plans in place is underscored by the development of a new Healthy People 2020 objective (PREP-5) to "increase the percentage of school districts that require schools to include specific topics in their crisis preparedness, response, and recovery plans" (5). Because decisions about such plans are usually made at the school district level, it is important to examine district-level policies and practices. Although previous reports have provided national estimates of the percentage of districts with policies and practices in place (6), these estimates have not been analyzed by U.S. Census region* and urbanicity.(†) Using data from the 2012 School Health Policies and Practices Study (SHPPS), this report examines policies and practices related to school district preparedness, response, and recovery. In general, districts in the Midwest were less likely to require schools to include specific topics in their crisis preparedness plans than districts in the Northeast and South. Urban districts tended to be more likely than nonurban districts to require specific topics in school preparedness plans. Southern districts tended to be more likely than districts in other regions to engage with partners when developing plans. No differences in district collaboration (with the exception of local fire department engagement) were observed by level of urbanicity. School-based preparedness planning needs to be coordinated with interdisciplinary community partners to achieve Healthy People 2020 PREP-5 objectives for this vulnerable population.

Respondent-driven sampling (RDS) has become increasingly popular for sampling hidden populations, including injecting drug users (IDU). However, RDS data are unique and require specialized analysis techniques, many of which remain underdeveloped. RDS sample size estimation requires knowing design effect (DE), which can only be calculated post hoc. Few studies have analyzed RDS DE using real world empirical data. We analyze estimated DE from 43 samples of IDU collected using a standardized protocol. We find the previous recommendation that sample size be at least doubled, consistent with DE = 2, underestimates true DE and recommend researchers use DE = 4 as an alternate estimate when calculating sample size. A formula for calculating sample size for RDS studies among IDU is presented. Researchers faced with limited resources may wish to accept slightly higher standard errors to keep sample size requirements low. Our results highlight dangers of ignoring sampling design in analysis.

In 2002, 329 cases of West Nile illness were reported in Louisiana, including 204 cases of West Nile meningoencephalitis and 125 cases of West Nile fever. Clinical presentation of meningoencephalitis or of West Nile fever was confirmed serologically. There were 24 deaths. Age group distribution showed predominance among persons aged 45 years or older. The epidemic curve, based on date of diagnosis, showed numerous foci progressing in successive waves. The first cases occurred in mid-June. A peak was reached by the first week of August, after which the epidemic progressively subsided.