There is minimal knowledge about the impact of large-scale epidemics on community mental health, particularly during the acute phase. This gap in knowledge means we are critically ill-equipped to support communities as they face the unprecedented COVID-19 pandemic. This study aimed to provide data urgently needed to inform government policy and resource allocation now and in other future crises. The study was the first to survey a representative sample from the Australian population at the early acute phase of the COVID-19 pandemic. Depression, anxiety, and psychological wellbeing were measured with well-validated scales (PHQ-9, GAD-7, WHO-5). Using linear regression, we tested for associations between mental health and exposure to COVID-19, impacts of COVID-19 on work and social functioning, and socio-demographic factors. Depression and anxiety symptoms were substantively elevated relative to usual population data, including for individuals with no existing mental health diagnosis. Exposure to COVID-19 had minimal association with mental health outcomes. Recent exposure to the Australian bushfires was also unrelated to depression and anxiety, although bushfire smoke exposure correlated with reduced psychological wellbeing. In contrast, pandemic-induced impairments in work and social functioning were strongly associated with elevated depression and anxiety symptoms, as well as decreased psychological wellbeing. Financial distress due to the pandemic, rather than job loss per se , was also a key correlate of poorer mental health. These findings suggest that minimizing disruption to work and social functioning, and increasing access to mental health services in the community, are important policy goals to minimize pandemic-related impacts on mental health and wellbeing. Innovative and creative strategies are needed to meet these community needs while continuing to enact vital public health strategies to control the spread of COVID-19.

BackgroundFollowing the partition of India in 1947, the Kashmir Valley has been subject to continual political insecurity and ongoing conflict, the region remains highly militarised. We conducted a representative cross-sectional population-based survey of adults to estimate the prevalence and predictors of anxiety, depression and post-traumatic stress disorder (PTSD) in the 10 districts of the Kashmir Valley.MethodsBetween October and December 2015, we interviewed 5519 out of 5600 invited participants, ≥18 years of age, randomly sampled using a probability proportional to size cluster sampling design. We estimated the prevalence of a probable psychological disorder using the Hopkins Symptom Checklist (HSCL-25) and the Harvard Trauma Questionnaire (HTQ-16). Both screening instruments had been culturally adapted and translated. Data were weighted to account for the sampling design and multivariate logistic regression analysis was conducted to identify risk factors for developing symptoms of psychological distress.FindingsThe estimated prevalence of mental distress in adults in the Kashmir Valley was 45% (95% CI 42.6 to 47.0). We identified 41% (95% CI 39.2 to 43.4) of adults with probable depression, 26% (95% CI 23.8 to 27.5) with probable anxiety and 19% (95% CI 17.5 to 21.2) with probable PTSD. The three disorders were associated with the following characteristics: being female, over 55 years of age, having had no formal education, living in a rural area and being widowed/divorced or separated. A dose–response association was found between the number of traumatic events experienced or witnessed and all three mental disorders.InterpretationThe implementation of mental health awareness programmes, interventions aimed at high risk groups and addressing trauma-related symptoms from all causes are needed in the Kashmir Valley.

Objective To determine the challenges met by, and needs of, the epidemiology emergency response workforce, with the aim of informing the development of a larger survey, by conducting key informant interviews of public health experts. Methods We defined our study population as public health experts with experience of epidemiology deployment. Using purposive sampling techniques, we applied random number sampling to shortlists of potential interviewees provided by key organizations to obtain 10 study participants; we identified three additional interviewees through snowballing. The same interviewer conducted all key informant interviews during May–August 2019. We thematically analysed de-identified transcripts using a qualitative data analysis computer software package. Findings Despite our interviewees having a wide range of organizational and field experience, common themes emerged. Interviewees reported a lack of clarity in the definition of an emergency response epidemiologist; the need for a broader range of skills; and inadequate leadership and mentoring in the field. Interviewees identified the lack of interpersonal skills (e.g. communication) and a lack of career progression options as limitations to the effectiveness of emergency response. Conclusion The epidemiology emergency response workforce is currently not achieving collective competence. The lack of a clear definition of the role must be addressed, and leadership is required to develop teams in which complementary skills are harmonized and those less experienced can be mentored. Epidemiology bodies must consider individual professional accreditation to ensure that the required skills are being achieved, as well as enabling continual professional development.

The present study aimed to culturally adapt, translate, and validate the Hopkins Symptom Checklist-25 (HSCL-25) and the Harvard Trauma Questionnaire-Posttraumatic Stress Symptoms Checklist (HTQ-16) prior to use in a cross-sectional mental health population survey in the Kashmir Valley. Cultural adaptation and translation of the HSCL-25 and the HTQ-16 employed multiple forms of transcultural validity check. The HSCL-25 and HTQ-16 were compared against a "gold standard" structured psychiatric interview, the Mini International Neuropsychiatric Interview (MINI). Interviews were conducted with 290 respondents recruited using consecutive sampling from general medical outpatient departments in five districts of the Kashmir Valley. Receiver operating characteristics (ROC) analysis was used to estimate the cut point with optimal discriminatory power based on sensitivity and specificity. Internal reliability of the HSCL-25 was high, Cronbach's alpha (α) = .92, intraclass correlation coefficient (ICC) = 0.75, with an estimated optimal cut point of 1.50, lower than the conventional cut point of 1.75. Separation of the instruments into subscales demonstrated a difference in the estimated cut point for the anxiety subscale and the depression subscale, 1.75 and 1.57, respectively. Too few respondents were diagnosed with posttraumatic stress disorder (PTSD) during structured psychiatric interview, and therefore the HTQ-16 could not be validated despite the fact that high internal reliability was demonstrated (α = .90). This study verified the importance of culturally adapting and validating screening instruments in particular contexts. The use of the conventional cut point of 1.75 would likely have misclassified depression in our survey, leading to an underestimate of this condition.

Background Rapid and effective emergency response to address health security relies on a competent and suitably trained local and international workforce. The COVID-19 pandemic has highlighted that the health security workforce needs to be well equipped to tackle current and future challenges. In this study, we explored whether training in applied epidemiology was meeting the current needs of the applied epidemiology workforce. Method We conducted a cross-sectional online survey that was available in English and French. We used purposive and snowballing sampling techniques to identify potential survey respondents. An online social media advertisement campaign was used to disseminate a REDCap survey link between October 2019 and February 2020 through field epidemiology networks. Survey questions included demographic details of participants, along with their technical background, level of formal education, topics studied during epidemiology training, and years of experience as an epidemiologist. We used Pearson Chi-squared (Chi2) to test the difference between categorical variables, and content analysis to evaluate responses to open-ended questions. Results In total, 282 people responded to the survey. Participants had a range of formal public health and epidemiology training backgrounds. Respondents applied epidemiology experience spanned almost 30 years, across 64 countries. Overall, 74% (n = 210) were alumni of Field Epidemiology Training Programs (FETP). Basic outbreak and surveillance training was well reported by respondents, however training in specialised techniques related to emergency response, communication, and leadership was less common. FETP graduates reported higher levels of formal training in all survey topics. Conclusion It is critical for the health security workforce to be well-trained and equipped with skills needed to ensure a rapid and effective response to acute public health events. Leadership, communication, interpersonal skills, and specialist training in emergency response are lacking in current training models. Our study has demonstrated that applied epidemiology workforce training must evolve to remain relevant to current and future public health challenges.