Effectiveness of Seasonal Malaria Chemoprevention in children under 10 years of age in Senegal: a stepped-wedge cluster-randomized trial

This study was done to determine the effectiveness of Seasonal Malaria Chemoprevention in Senegalese children up to 10 years of age using a stepped-wedge design. Outcomes included mortality, malaria cases treated as outpatients, severe malaria, and the prevalence of parasitaemia and anaemia, and adverse drug reactions. 54 health posts were randomized. 9 started implementation of SMC in 2008, 18 in 2009, and a further 18 in 2010, with 9 remaining as controls. In the first year of implementation SMC was delivered to children aged 3-59 months, the age range was then extended for the latter two years of the study to include children up to 10 years of age

inSCALE Baseline Cross-Sectional Survey Uganda

A data collection containing information on 6,501 children under 5 years of age in West Uganda. Data was collected during May - August 2011 as part of a baseline survey prior to implementation of the inSCALE c-RCT in the site. Dataset variables cover socioeconomic and demographic characteristics of households, symptoms of the most recent illness episode for the children during the two weeks preceding the survey, care seeking behaviour, treatments received and details of all self-reported out-of-pocket costs associated with care seeking for the episode of illness. Three datasets are made available: [1] The ‘inSCALE_baseline’ master table covers 1 child per row, and [2] a ‘inSCALE_long_baseline’ table with 1 illness condition per row (if child had more than one illness defined, one row is created for each illness) (5057 - only sick children included hence lower total), and [3] 'inSCALE_baseline_extra_cost' table containing additional data on household direct and indirect costs of care seeking collected in the baseline survey

A Universal Gauge for Thermal Conductivity of Silicon Nanowires With Different Cross Sectional Geometries

By using molecular dynamics simulations, we study thermal conductivity of silicon nanowires (SiNWs) with different cross sectional geometries. It is found that thermal conductivity decreases monotonically with the increase of surface-to-volume ratio (SVR). More interestingly, a simple universal linear dependence of thermal conductivity on SVR is observed for SiNWs with modest cross sectional area (larger than 20 nm^2), regardless of the cross sectional geometry. As a result, among different shaped SiNWs with the same cross sectional area, the one with triangular cross section has the lowest thermal conductivity. Our study provides not only a universal gauge for thermal conductivity among different cross sectional geometries, but also a designing guidance to tune thermal conductivity by geometry.Comment: 22 pages, 6 figure

The Cross Sectional Dependence Puzzle

The analysis of unit roots and cointegration in panel data is becoming a growing research area. A number of issues have been raised in the literature (see Phillips and Moon 1999 and 2000, Banerjee 2000, Maddala and Wu 1999). The aim of the present paper is to contribute to the issue of cross sectional dependence in non-stationary panel data. We review some of the most recent econometric techniques proposed by the literature to dealing with cross sectional dependence and notice a sort of puzzle. We extend the bootstrap methodology proposed by Maddala and Wu (1999) and apply the resulting test to test for PPP. We find no evidence favouring PPP. Finally, we use Monte Carlo simulation to analyse the size distortion of the bootstrap test presented in this paper. The proposed test presents size distortion only when T = 100.

Outliers in Cross-Sectional Regression

The robustness of the results coming from an econometric application depends to a great extent on the quality of the sampling information. This statement is a general rule that becomes especially relevant in a spatial context where data usually have lots of irregularities. The purpose of our paper is to examine more closely this question paying attention to one point in particular, namely outliers. The presence of outliers in the sample may be useful, for example in order to break some multicollinearity relations but they may also result in other inconsistencies. The main aspect of our work is that we resolve the discussion in a spatial context, looking closely into the behaviour shown, under several unfavourable conditions, by the most outstanding misspecification tests. For this purpose, we plan and solve a Monte Carlo simulation. The conclusions point to the fact that these statistics react in a different way to the problems posed.

Changing antimalarial drug resistance patterns identified by surveillance at three sites in Uganda.

: We assessed Plasmodium falciparum drug resistance markers in parasites collected in 2012, 2013, and 2015 at 3 sites in Uganda. The prevalence and frequency of parasites with mutations in putative transporters previously associated with resistance to aminoquinolines, but increased sensitivity to lumefantrine (pfcrt 76T; pfmdr1 86Y and 1246Y), decreased markedly at all sites. Antifolate resistance mutations were common, with apparent emergence of mutations (pfdhfr 164L; pfdhps 581G) associated with high-level resistance. K13 mutations linked to artemisinin resistance were uncommon and did not increase over time. Changing malaria treatment practices have been accompanied by profound changes in markers of resistance.<br/

Consumption Risk and Cross-Sectional Returns

This paper evaluates the central insight of the Consumption Capital Asset Pricing Model (C-CAPM) that an asset's expected return is determined by its equilibrium risk to consumption. Rather that measure the risk of a portfolio by the contemporaneous covariance of its return and consumption growth -- as done in the previous literature on the C-CAPM and the pattern of cross-sectional returns -- we measure the risk of a portfolio by its ultimate consumption risk defined as the covariance of its return and consumption growth over the quarter of the return and many following quarters. While contemporaneous consumption risk has little predictive power for explaining the pattern of average returns across the Fama and French (25) portfolios, ultimate consumption risk is highly statistically significant in explaining average returns and explains a large fraction of the variation in average returns. Aditionally, estimates of the average risk-free real rate of interest and the coefficient of relative risk aversion of the representative household based on ultimate consumption risk are more reasonable than those obtained using contemporaneous consumption risk.