Literature DB >> 17546901

Climatic variables and transmission of falciparum malaria in New Halfa, eastern Sudan.

Y E Himeidan1, E E Hamid, L Thalib, M I Elbashir, I Adam.   

Abstract

The study investigated the role of climatic variables and irrigated agricultural on the seasonality of malaria transmission in New Halfa, eastern Sudan. A time-series analysis was performed using monthly climatic variables, monthly water available for irrigation of crops and monthly slide positive rate of malaria during the period 1986-2002. Cases of malaria were reported every month of the year with a mean of 13.0/100 persons/month (95% CI: 11.9-14.2), and bimodal annual pattern in autumn and winter seasons. Rainfall was the significant climatic variable in the transmission of the disease, whereas heavy rainfall was found to initiate epidemics. Temperature, relative humidity and irrigation water were not significant factors.

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Year:  2007        PMID: 17546901

Source DB:  PubMed          Journal:  East Mediterr Health J        ISSN: 1020-3397            Impact factor:   1.628


  11 in total

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6.  Pattern of malaria transmission along the Rahad River basin, Eastern Sudan.

Authors:  Yousif E Himeidan; Mervet M Elzaki; Eliningaya J Kweka; Muntaser Ibrahim; Ibrahim M Elhassan
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7.  'A bite before bed': exposure to malaria vectors outside the times of net use in the highlands of western Kenya.

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8.  Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis.

Authors:  Ravi Chandra Pavan Kumar Srimath-Tirumula-Peddinti; Nageswara Rao Reddy Neelapu; Naresh Sidagam
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9.  Efficacies of DHA-PPQ and AS/SP in patients with uncomplicated Plasmodium falciparum malaria in an area of an unstable seasonal transmission in Sudan.

Authors:  Abdelrahim O Mohamed; Muzamil M Abdel Hamid; Omer S Mohamed; Nuha S Elkando; Abdelmaroof Suliman; Mariam A Adam; Fahad Awad Ali Elnour; Elfatih M Malik
Journal:  Malar J       Date:  2017-04-20       Impact factor: 2.979

10.  Multi-step polynomial regression method to model and forecast malaria incidence.

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Journal:  PLoS One       Date:  2009-03-06       Impact factor: 3.240

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