Predictors of mass psychogenic illness in a junior secondary school in rural Botswana: A case control study.

Background: In March 2019, students at Lempu Secondary School in Kweneng District, Botswana displayed symptoms including headache, abnormal leg movements and difficulty walking. Within days, 133 students were admitted to Scottish Livingstone Hospital where mass psychogenic illness (MPI) was diagnosed. Aim: To identify predictors of this illness. Setting: Kweneng West District, Botswana. Methods: This was a case control study using interviewer-administered questionnaires. Cases were students who displayed MPI symptoms from the 2nd of March to the time of the interviews or who were admitted with MPI diagnosis. Analysis was restricted to female students. Logistic regression was used to generate odds ratios. A p value of < 0.05 was considered to demonstrate significant association between variables. Results: Interviews were conducted with 142 cases and 202 controls. The median age was 15 years. Most of the cases (95.8%) were boarding girls. Residence in school campus (AOR 13.2), history of evaluation by psychologist and/or social worker (AOR 2.6), history of traumatic events (AOR 1.8), contact with sick peers (AOR 2.3) and contact with spiritual healer (AOR 2.0) were independent predictors of MPI. Additionally, perception of adequate security in the dormitories (AOR 0.3) and perception of poor lighting (AOR 6.8) were significant predictors of MPI amongst boarding girls. Conclusion: The outbreak in Lempu Community Junior Secondary School (CJSS) was typical of mass psychogenic illness affecting mainly boarding girls and was associated with psychological and environmental risk factors. Changing the boarding environment and continuous psychological support are key to preventing future outbreaks. Interventions should also target the identified risk factors.

Opioid use disorder treatment in rural settings: The primary care perspective.

Despite the efficacy of medications for treating opioid use disorder (OUD), they are underutilized, especially in rural areas. Our objectives were to determine the association between primary care practitioners (PCPs) rurality and concerns for patient substance use, and to identify factors associated with PCP comfort treating OUD, focusing on barriers to treatment. We developed a web-based survey completed by 116 adult-serving PCPs located in Vermont's rural and non-rural counties between April-August 2020. The instrument included PCP-identified concerns for substance use among patients, barriers to treating patients with OUD, and current level of comfort treating patients with OUD. On a scale from 0 to 10, rural PCPs reported higher concern for heroin (mean difference; Mdiff = 1.38, 95% CI: 0.13 to 2.63), fentanyl (Mdiff = 1.52, 95% CI: 0.29 to 2.74), and methamphetamine (Mdiff = 1.61, 95% CI: 0.33 to 2.90) use among patients compared to non-rural PCPs, and practitioners in both settings expressed high concern regarding their patients' use of tobacco (7.6 out of 10) and alcohol (7.0 out of 10). There was no difference in reported comfort in treating patients with OUD among rural vs. non-rural PCPs (Mdiff = 0.65, 95%CI: 0.17 to 1.46; P = 0.119), controlling for higher comfort among male PCPs and those waivered to prescribe buprenorphine (Ps < 0.05). Lack of training/experience and medication diversion were PCP-identified barriers associated with less comfort treating OUD patients, while time constraints was associated with more comfort (Ps < 0.05). Taken together, these data highlight important areas for dissemination of evidence-based training, support, and resources to expand OUD treatment capacity in rural communities.

Spatial clustering of Aedes aegypti related to breeding container characteristics in Coastal Ecuador: implications for dengue control.

Mosquito management within households remains central to the control of dengue virus transmission. An important factor in these management decisions is the spatial clustering of Aedes aegypti. We measured spatial clustering of Ae. aegypti in the town of Borbón, Ecuador and assessed what characteristics of breeding containers influenced the clustering. We used logistic regression to assess the spatial extent of that clustering. We found strong evidence for juvenile mosquito clustering within 20 m and for adult mosquito clustering within 10 m, and stronger clustering associations for containers ≥ 40 L than those < 40 L. Aedes aegypti clusters persisted after adjusting for various container characteristics, suggesting that patterns are likely attributable to short dispersal distances rather than shared characteristics of containers in cluster areas. These findings have implications for targeting Ae. aegypti control efforts.