146 research outputs found
Community-based malaria screening and treatment for pregnant women receiving standard intermittent preventive treatment with sulfadoxine-pyrimethamine: a multicentre (The Gambia, Burkina Faso and Benin) cluster randomised controlled trial
Background We investigated whether adding community scheduled malaria screening and treatment (CSST) with artemether-lumefantrine by community health workers (CHWs) to standard intermittent preventive treatment in pregnancy with sulfadoxine-pyrimethamine (IPTp-SP) would improve maternal and infant health. Methods In this 2-arm cluster-randomized, controlled trial, villages in Burkina Faso, The Gambia, and Benin were randomized to receive CSST plus IPTp-SP or IPTp-SP alone. CHWs in the intervention arm performed monthly CSST during pregnancy. At each contact, filter paper and blood slides were collected, and at delivery, a placental biopsy was collected. Primary and secondary endpoints were the prevalence of placental malaria, maternal anemia, maternal peripheral infection, low birth weight, antenatal clinic (ANC) attendance, and IPTp-SP coverage. Results Malaria infection was detected at least once for 3.8% women in The Gambia, 16.9% in Benin, and 31.6% in Burkina Faso. There was no difference between study arms in terms of placenta malaria after adjusting for birth season, parity, and IPTp-SP doses (adjusted odds ratio, 1.06 [95% confidence interval, .78–1.44]; P = .72). No difference between the study arms was found for peripheral maternal infection, anemia, and adverse pregnancy outcomes. ANC attendance was significantly higher in the intervention arm in Burkina Faso but not in The Gambia and Benin. Increasing number of IPTp-SP doses was associated with a significantly lower risk of placenta malaria, anemia at delivery, and low birth weight. Conclusions Adding CSST to existing IPTp-SP strategies did not reduce malaria in pregnancy. Increasing the number of IPTp-SP doses given during pregnancy is a priority. Clinical Trials Registration NCT01941264; ISRCTN37259296
Leading nucleon and inelasticity in hadron-nucleus interactions
We present in this paper a calculation of the average proton-nucleus ine-
lasticity. Using an Iterative Leading Particle Model and the Glauber model, we
relate the leading particle distribution in nucleon-nucleus interactions with
the respective one in nucleon-proton collisions. To describe the leading
particle distribution in nucleon-proton collisions, we use the Regge-Mueller
formalism. To appear in Journal of Physics G.Comment: 11 pages, 2 figure
Constraints on growth index parameters from current and future observations
We use current and future simulated data of the growth rate of large scale
structure in combination with data from supernova, BAO, and CMB surface
measurements, in order to put constraints on the growth index parameters. We
use a recently proposed parameterization of the growth index that interpolates
between a constant value at high redshifts and a form that accounts for
redshift dependencies at small redshifts. We also suggest here another
exponential parameterization with a similar behaviour. The redshift dependent
parametrizations provide a sub-percent precision level to the numerical growth
function, for the full redshift range. Using these redshift parameterizations
or a constant growth index, we find that current available data from galaxy
redshift distortions and Lyman-alpha forests is unable to put significant
constraints on any of the growth parameters. For example both CDM and
flat DGP are allowed by current growth data. We use an MCMC analysis to study
constraints from future growth data, and simulate pessimistic and moderate
scenarios for the uncertainties. In both scenarios, the redshift
parameterizations discussed are able to provide significant constraints and
rule out models when incorrectly assumed in the analysis. The values taken by
the constant part of the parameterizations as well as the redshift slopes are
all found to significantly rule out an incorrect background. We also find that,
for our pessimistic scenario, an assumed constant growth index over the full
redshift range is unable to rule out incorrect models in all cases. This is due
to the fact that the slope acts as a second discriminator at smaller redshifts
and therefore provide a significant test to identify the underlying gravity
theory.Comment: 13 pages, 5 figures, matches JCAP accepted versio
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