Quantifying the impact of decay in bed-net efficacy on malaria transmission.
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Identifying sources, pathways and risk drivers in ecosystems of Japanese Encephalitis in an epidemic-prone north Indian districtWhere have all the mosquito nets gone? Spatial modelling reveals mosquito net distributions across Tanzania do not target optimal Anopheles mosquito habitats.Insecticide-Treated Net Campaign and Malaria Transmission in Western Kenya: 2003-2015.Optimal insecticide-treated bed-net coverage and malaria treatment in a malaria-HIV co-infection model.Modeling the Impact of Bed-Net Use and Treatment on Malaria Transmission Dynamics.A climate-based malaria model with the use of bed nets.Modelling the effect of bednet coverage on malaria transmission in South Sudan.Dynamic modelling of personal protection control strategies for vector-borne disease limits the role of diversity amplification
P2860
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P2860
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@ast
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@en
type
label
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@ast
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@en
prefLabel
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@ast
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@en
P2860
P1476
Quantifying the impact of decay in bed-net efficacy on malaria transmission.
@en
P2093
Jemal Mohammed-Awel
Ruijun Zhao
P2860
P304
P356
10.1016/J.JTBI.2014.08.018
P407
P577
2014-08-23T00:00:00Z