A Comparison of TSV Etch Metrology Techniques

International audienceWe use three metrology techniques, vertical scanning interferometry (VSI), confocal chromatic microscopy (CCM), and time domain optical coherence tomography (TD-OCT), for depth measurement of through-silicon vias (TSVs) of various cross sections and depths. The merits of these techniques are discussed and compared. Introduction While sales of semiconductor equipment broke a new record this year, many metrology needs should be addressed to support the development and production of electronic chips based on "More than Moore" scaling. Among these scaling approaches, 3D integration based on TSVs offers superior integration density and reduces interconnect length/latency. Measurements are needed to evaluate the depth uniformity of etched TSVs. Indeed, upon metal filling, geometrical variations of TSVs can affect Cu nails coplanarity and can warp the wafer, resulting in a low stacking yield. Measuring the depth of TSVs is an increasingly challenging task as the diameter of many TSVs has now shrunk to only a few microns

Risk maps for range expansion of the Lyme disease vector, Ixodes scapularis, in Canada now and with climate change

<p>Abstract</p> <p>Background</p> <p>Lyme disease is the commonest vector-borne zoonosis in the temperate world, and an emerging infectious disease in Canada due to expansion of the geographic range of the tick vector <it>Ixodes scapularis</it>. Studies suggest that climate change will accelerate Lyme disease emergence by enhancing climatic suitability for <it>I. scapularis</it>. Risk maps will help to meet the public health challenge of Lyme disease by allowing targeting of surveillance and intervention activities.</p> <p>Results</p> <p>A risk map for possible Lyme endemicity was created using a simple risk algorithm for occurrence of <it>I. scapularis </it>populations. The algorithm was calculated for each census sub-division in central and eastern Canada from interpolated output of a temperature-driven simulation model of <it>I. scapularis </it>populations and an index of tick immigration. The latter was calculated from estimates of tick dispersion distances by migratory birds and recent knowledge of the current geographic range of endemic <it>I. scapularis </it>populations. The index of tick immigration closely predicted passive surveillance data on <it>I. scapularis </it>occurrence, and the risk algorithm was a significant predictor of the occurrence of <it>I. scapularis </it>populations in a prospective field study. Risk maps for <it>I. scapularis </it>occurrence in Canada under future projected climate (in the 2020s, 2050s and 2080s) were produced using temperature output from the Canadian Coupled Global Climate Model 2 with greenhouse gas emission scenario enforcing '<it>A2</it>' of the Intergovernmental Panel on Climate Change.</p> <p>Conclusion</p> <p>We have prepared risk maps for the occurrence of <it>I. scapularis </it>in eastern and central Canada under current and future projected climate. Validation of the risk maps provides some confidence that they provide a useful first step in predicting the occurrence of <it>I. scapularis </it>populations, and directing public health objectives in minimizing risk from Lyme disease. Further field studies are needed, however, to continue validation and refinement of the risk maps.</p

Sentinel Surveillance Contributes to Tracking Lyme Disease Spatiotemporal Risk Trends in Southern Quebec, Canada

Lyme disease (LD) is a tick-borne disease which has been emerging in temperate areas in North America, Europe, and Asia. In Quebec, Canada, the number of human LD cases is increasing rapidly and thus surveillance of LD risk is a public health priority. In this study, we aimed to evaluate the ability of active sentinel surveillance to track spatiotemporal trends in LD risk. Using drag flannel data from 2015&ndash;2019, we calculated density of nymphal ticks (DON), an index of enzootic hazard, across the study region (southern Quebec). A Poisson regression model was used to explore the association between the enzootic hazard and LD risk (annual number of human cases) at the municipal level. Predictions from models were able to track both spatial and interannual variation in risk. Furthermore, a risk map produced by using model predictions closely matched the official risk map published by provincial public health authorities, which requires the use of complex criteria-based risk assessment. Our study shows that active sentinel surveillance in Quebec provides a sustainable system to follow spatiotemporal trends in LD risk. Such a network can support public health authorities in informing the public about LD risk within their region or municipality and this method could be extended to support Lyme disease risk assessment at the national level in Canada

The impact of syphilis, HIV-1, and HIV-2 on pregnancy outcome in Bissau, Guinea-Bissau.

BACKGROUND: Syphilis remains a major cause of fetal loss and neonatal mortality in sub-Saharan Africa. Guinea-Bissau is the epicenter of the HIV-2 epidemic, and little is known about the impact of HIV-2 on pregnancy. GOAL: To understand better the impact of maternal syphilis and HIV-2 on the outcomes of pregnancy in Bissau, Guinea-Bissau. STUDY DESIGN: Using a case-control design, maternal syphilis and HIV-2 seropositive results were examined in relation to adverse outcomes of pregnancy. From June 1997 to April 1998, women presenting to the Simao Mendes hospital of Bissau for a delivery or a spontaneous abortion were invited to participate in the study, and 1341 women were enrolled. The 743 control subjects were women who had delivered a term neonate with a birthweight greater than 2500 g that survived the first 28 days of life. The cases were classified into five groups of mothers according to the outcome of pregnancy: stillbirths (n = 185), spontaneous abortions (n = 89), premature deliveries (n = 256), small-for-gestation-age babies (n = 55), and neonatal deaths (n = 13). RESULTS: Among the control subjects, the prevalences of serologic syphilis and HIV infection were 3.9% and 7.9%, respectively. Positive syphilis serology results together with a rapid plasma reagin titer of 1:16 or more were associated with delivery of a stillborn (adjusted odds ratio [AOR], 6.05) and premature delivery (AOR, 2.98). In Bissau, the population-attributable risk fraction of syphilis was 7.2% (95% CI, 2.2-11.9%) for stillbirths and only 2.4% (95% CI, 0-5.8%) for premature deliveries. Spontaneous abortions, delivery of a small-for-gestation-age baby, and neonatal deaths were not associated with positive syphilis serology results. None of these pregnancy outcomes was significantly associated with HIV-2 infection. CONCLUSIONS: The effect of syphilis on the outcome of pregnancy in West Africa is similar to that reported from other parts of Africa. However, because the prevalence of positive syphilis serology results is relatively low, the impact of screening for syphilis on the outcome of pregnancy is likely to be relatively modest. The findings from this study confirm the absence of association between HIV-2 and an adverse pregnancy outcome

Adaptation and Evaluation of a Multi-Criteria Decision Analysis Model for Lyme Disease Prevention

<div><p>Designing preventive programs relevant to vector-borne diseases such as Lyme disease (LD) can be complex given the need to include multiple issues and perspectives into prioritizing public health actions. A multi-criteria decision aid (MCDA) model was previously used to rank interventions for LD prevention in Quebec, Canada, where the disease is emerging. The aim of the current study was to adapt and evaluate the decision model constructed in Quebec under a different epidemiological context, in Switzerland, where LD has been endemic for the last thirty years. The model adaptation was undertaken with a group of Swiss stakeholders using a participatory approach. The PROMETHEE method was used for multi-criteria analysis. Key elements and results of the MCDA model are described and contrasted with the Quebec model. All criteria and most interventions of the MCDA model developed for LD prevention in Quebec were directly transferable to the Swiss context. Four new decision criteria were added, and the list of proposed interventions was modified. Based on the overall group ranking, interventions targeting human populations were prioritized in the Swiss model, with the top ranked action being the implementation of a large communication campaign. The addition of criteria did not significantly alter the intervention rankings, but increased the capacity of the model to discriminate between highest and lowest ranked interventions. The current study suggests that beyond the specificity of the MCDA models developed for Quebec and Switzerland, their general structure captures the fundamental and common issues that characterize the complexity of vector-borne disease prevention. These results should encourage public health organizations to adapt, use and share MCDA models as an effective and functional approach to enable the integration of multiple perspectives and considerations in the prevention and control of complex public health issues such as Lyme disease or other vector-borne and zoonotic diseases.</p></div

Composition of the Swiss stakeholder group.

<p>Composition of the Swiss stakeholder group.</p