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71 points while the minimal detectable change was 7.51 points. Eighty-three percent of the predefined construct validity correlational hypotheses were supported by the results of the study justifying the construct validity of the 15-item LEFS-Ar.Conclusion The 15-item LEFS-Ar demonstrated evidence supporting its internal consistency, test-retest reliability and construct validity as a measure of lower extremity function in Arabic-speaking patients with lower extremity musculoskeletal disorders.Implications for RehabilitationThe 15-item LEFS-Ar demonstrated evidence supporting its internal consistency, test-retest reliability and construct validity as a measure of lower extremity function in patients with lower extremity musculoskeletal disorders.The 15-item LEFS-Ar can be used to measure lower extremity function in Arabic-speaking patients with lower extremity musculoskeletal disorders.Introduction Idiosyncratic, drug-induced liver injury (IDILI) continues to plague patients and restrict the use of drugs that are pharmacologically effective. Mechanisms of IDILI are incompletely understood, and a better understanding would reduce speculation and could help to identify safer drug candidates preclinically. Animal models have the potential to enhance knowledge of mechanisms of IDILI.Areas covered Numerous hypotheses have emerged to explain IDILI pathogenesis, many of which center on the roles of the innate and/or adaptive immune systems. Animal models based on these hypotheses are reviewed in the context of their contributions to understanding of IDILI and their limitations.Expert opinion Animal models of IDILI based on an activated adaptive immune system have to date failed to reproduce major liver injury that is of most concern clinically. The only models that have so far resulted in pronounced liver injury are based on the multiple determinant hypothesis or the inflammatory stress hypothesis. The liver pathogenesis in IDILI animal models involves various leukocytes and immune mediators such as cytokines. Insights from animal models are changing the way we view IDILI pathogenesis and are leading to better approaches to preclinical prediction of IDILI potential of new drug candidates.Public health emergencies in the United States have been complex, frequent, and increasingly costly in the past decade, at times overwhelming government agencies that are primarily resourced for routine, nonemergency health functions. check details Emergencies are not always predictable, and adequate resources are not always available to prepare staff in advance for emergency response roles and to mobilize them quickly when a new threat emerges. Additionally, real-world data that connect preparedness levels to response outcomes may be difficult to obtain, further limiting continuous quality improvement efforts by public health officials. In this article, we apply the Ready, Willing, and Able (RWA) framework to identify areas for improvement related to organizational and staff readiness, willingness, and ability to respond during a public health emergency. We share emergency response deployment, training, and personnel data collected as part of emergency response activations (2008 to 2018) at the Centers for Disease Control and Prevention to illustrate how the framework may be applied at government agencies to improve response processes and effectiveness. Additionally, we propose potential metrics aligned with the framework constructs that may help emergency managers consistently assess agency preparedness and, over time, be incorporated into broader standardized measurement methods. We conclude that the RWA framework is a practical tool that can complement other preparedness approaches currently in use at government public health agencies.On February 22, 2017, Hospital X-Kampala and US CDC-Kenya reported to the Uganda Ministry of Health a respiratory illness in a 46-year-old expatriate of Company A. The patient, Mr. A, was evacuated from Uganda to Kenya and died. He had recently been exposed to dromedary camels (MERS-CoV) and wild birds with influenza A (H5N6). We investigated the cause of illness, transmission, and recommended control. We defined a suspected case of severe acute respiratory illness (SARI) as acute onset of fever (≥38°C) with sore throat or cough and at least one of the following headache, lethargy, or difficulty in breathing. In addition, we looked at cases with onset between February 1 and March 31 in a person with a history of contact with Mr. A, his family, or other Company A employees. A confirmed case was defined as a suspected case with laboratory confirmation of the same pathogen detected in Mr. A. Influenza-like illness was defined as onset of fever (≥38°C) and cough or sore throat in a Uganda contact, and as fever (≥38°C) and cough lasting less than 10 days in a Kenya contact. We collected Mr. A's exposure and clinical history, searched for cases, and traced contacts. Specimens from the index case were tested for complete blood count, liver function tests, plasma chemistry, Influenza A(H1N1)pdm09, and MERS-CoV. Robust field epidemiology, laboratory capacity, and cross-border communication enabled investigation.Uganda's proximity to the tenth Ebola virus disease (EVD) outbreak in the Democratic Republic of the Congo (DRC) presents a high risk of cross-border EVD transmission. Uganda conducted preparedness and risk-mapping activities to strengthen capacity to prevent EVD importation and spread from cross-border transmission. We adapted the World Health Organization (WHO) EVD Consolidated Preparedness Checklist to assess preparedness in 11 International Health Regulations domains at the district level, health facilities, and points of entry; the US Centers for Disease Control and Prevention (CDC) Border Health Capacity Discussion Guide to describe public health capacity; and the CDC Population Connectivity Across Borders tool kit to characterize movement and connectivity patterns. We identified 40 ground crossings (13 official, 27 unofficial), 80 health facilities, and more than 500 locations in 12 high-risk districts along the DRC border with increased connectivity to the EVD epicenter. The team also identified routes and congregation hubs, including origins and destinations for cross-border travelers to specified locations.