The search process: Integrating the investigation and identification of missing and unidentified persons.

The effective search for the missing and identification of persons, alive or dead, are core components in the prevention and in resolving the issue of Missing Persons. Despite the growing literature on this topic, there is still a lack of publications describing the Search as a process that includes different phases inherently composed of forensic investigative and identification principles for both living and deceased missing persons. This paper is the result of discussions between the Forensic Unit of the International Committee of the Red Cross (ICRC) and members of its external Forensic Advisory Board. It aims to present the Search process as an overarching concept that includes the investigation and identification phases of the missing in any state (dead or alive), in any scenario (with or without bodies), with an integrated, multidisciplinary, and multiagency approach for implementation by all actors involved in the investigation and identification phases of missing persons.

Improving the Policy Utility of Cause of Death Statistics in Sri Lanka: An Empirical Investigation of Causes of Out-of-Hospital Deaths Using Automated Verbal Autopsy Methods.

Background: Setting public health policies and effectively monitoring the impact of health interventions requires accurate, timely and complete cause of death (CoD) data for populations. In Sri Lanka, almost half of all deaths occur outside hospitals, with questionable diagnostic accuracy, thus limiting their information content for policy. Objectives: To ascertain whether SmartVA is applicable in improving the specificity of cause of death data for out-of-hospital deaths in Sri Lanka, and hence enhance the value of these routinely collected data for informing public policy debates. Methods: SmartVA was applied to 2610 VAs collected between January 2017 and March 2019 in 22 health-unit-areas clustered in six districts. Around 350 community-health-workers and 50 supervisory-staffs were trained. The resulting distribution of Cause-Specific-Mortality-Fractions (CSMFs) was compared to data from the Registrar-General's-Department (RGD) for out-of-hospital deaths for the same areas, and to the Global-Burden-of-Disease (GBD) estimates for Sri Lanka. Results: Using SmartVA, for only 15% of deaths could a specific-cause not be assigned, compared with around 40% of out-of-hospital deaths currently assigned garbage codes with "very high" or "high" severity. Stroke (M: 31.6%, F: 35.4%), Ischaemic Heart Disease (M: 13.5%, F: 13.0%) and Chronic Respiratory Diseases (M: 15.4%, F: 10.8%) were identified as the three leading causes of home deaths, consistent with the ranking of GBD-Study for Sri Lanka for all deaths, but with a notably higher CSMF for stroke. Conclusions: SmartVA showed greater diagnostic specificity, applicability, acceptability in the Sri Lankan context. Policy formulation in Sri Lanka would benefit substantially with national-wide implementation of VAs.

Survey on postmortem screening and management of COVID-19 related deaths.

The COVID-19 pandemic is associated with a high case fatality rate in some countries even thought the majority of cases are asymptomatic. Scientific studies on this novel virus is limited and there is uncertainty regarding the best practices for death investigations both in terms of detection of the disease as well as autopsy safety. An online survey was conducted to identify how different institutions responded to the screening and management of dead bodies during the early phase of the pandemic from January to May. A questionnaire was developed using Google Forms and data was collected from 14 different forensic and pathological institutions in 9 countries. None of the institutions had performed any screening prior to March. Four institutions stated that screening was done routinely. In total, 322 cases had been screened using RT-PCR, out of which 40 positive cases were detected among four institutions. The commonest types of samples obtained were nasopharyngeal and oropharyngeal swabs which also had the highest rates of positivity followed by tracheal swab. Blood, swabs from cut surfaces of lung and lung tissue also gave positive results in some cases. Majority of the positive cases were > 65 years with a history suggestive of respiratory infection and were clinically suspected to have COVID-19 before death. Except for one institution which performed limited dissections, standard autopsies were conducted on all positive cases. Disposal of bodies involved the use of sealed body bags and labelling as COVID positive. Funeral rites were restricted and none of the institutions advocated cremation. There were no reports of disease transmission to those who handled COVID positive bodies.

Dental age estimation using radiographs: Towards the best method for Sri Lankan children.

Research supports the need for regionally and ethnically specific validated data as the reference base for age estimation techniques. This retrospective study evaluated the accuracy of three dental age estimation methods; Demirjian et al. (1973), Willems et al. (2001), and Blenkin and Evans (2010), for use in Sri Lanka for medico-legal purposes. Panoramic radiographs of 688 Sri Lankan children ranging in age from 8.00 to 16.99 years were used to determine their appropriateness to a Sri Lankan population. The mean age and standard deviations (±SD) were calculated separately for males and females of each age group. Paired t-test and mean absolute errors (MAE) were calculated to compare the calculated dental age (DA) with the chronological age (CA) across the nine age groups. The results revealed the mean CA of the entire sample was 12.38 ± 2.68 years, while the mean DA calculated using the Blenkin and Evans method was 11.83 ± 2.20 years, using the Demirjian et al. method was 12.57 ± 2.53 years, and using the Willems et al. method was 11.99 ± 2.43 years. The Demirjian et al. method consistently overestimated the age of males except in the 2 groups aged over 15 years, whereas the Blenkin and Evans method consistently underestimated the age except for the 11.00-12.99 age range. The method of Willems et al. produced DA quite close to CA up until 12.99 years of age, and then underestimated the age for all higher age groups. In females, the Demirjian et al. method consistently overestimated the age up until 13.99 years and then underestimated the higher age groups, while the Willems et al. method underestimated the age in all age groups except 10.00-10.99 years. The Blenkin and Evans method also consistently underestimated the age except in the 10.00-10.99 and 12.00-12.99-year age groups. The percentages of either overestimation or underestimation calculated for ±0.5 years of the true age were 41.0% for the Blenkin and Evans method, 42.8% for the Demirjian et al. method and 49.1% for the Willems et al. method. In conclusion, while all three methods could be applicable in the estimation of dental age for medico-legal purposes, the Willems et al. method appears to be more appropriate in overall measures for the Sri Lankan reference sample, up to the age of 12.99 years.