This data management and statistical core is created to serve the needs of each project within this malaria research center. In this core, we will establish a robust, secure, and comprehensive data management system to serve all projects and study sites of this center. All research personnel within this center will be familiarized with the data collection and processing procedures for standardization of the data format. The data management system will include security features such as double data entry, date and time stamping of all data records with electronic signatures, audit trails to track Changes made to data and documents, quality assurance procedures, and a reporting system for summary information and error reports. Data generated from all projects will be maintained safely on three servers in China, Thailand and UC Irvine to provide secure and timely sharing among investigators of this center. A dedicated team of biostatisticians will provide biostatistical support at each step of research design, data processing and statistical analyses, and assist with the writing of manuscripts. This team will also provide training in biostatistics, software and GIS to participating scientists to help bolster their biostatistical capacity.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19AI089672-05
Application #
8691671
Study Section
Special Emphasis Panel (ZAI1-AWA-M)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
5
Fiscal Year
2014
Total Cost
$369,895
Indirect Cost
$43,603
Name
Pennsylvania State University
Department
Type
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
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Liu, Huaie; Feng, Guohua; Zeng, Weilin et al. (2016) A more appropriate white blood cell count for estimating malaria parasite density in Plasmodium vivax patients in northeastern Myanmar. Acta Trop 156:152-6
Zhu, Xiaotong; Zhao, Zhenjun; Feng, Yonghui et al. (2016) Genetic diversity of the Plasmodium falciparum apical membrane antigen I gene in parasite population from the China-Myanmar border area. Infect Genet Evol 39:155-62
Wang, Qinghui; Zhao, Zhenjun; Zhang, Xuexing et al. (2016) Naturally Acquired Antibody Responses to Plasmodium vivax and Plasmodium falciparum Merozoite Surface Protein 1 (MSP1) C-Terminal 19 kDa Domains in an Area of Unstable Malaria Transmission in Southeast Asia. PLoS One 11:e0151900
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Ménard, Didier; Khim, Nimol; Beghain, Johann et al. (2016) A Worldwide Map of Plasmodium falciparum K13-Propeller Polymorphisms. N Engl J Med 374:2453-64
Hu, Yue; Zhou, Guofa; Ruan, Yonghua et al. (2016) Seasonal dynamics and microgeographical spatial heterogeneity of malaria along the China-Myanmar border. Acta Trop 157:12-9
Guo, Suqin; Zhang, Wei; He, Lishan et al. (2016) Rapid evaluation of artesunate quality with a specific monoclonal antibody-based lateral flow dipstick. Anal Bioanal Chem 408:6003-8
Xu, Xin; Zhou, Guofa; Wang, Ying et al. (2016) Microgeographic Heterogeneity of Border Malaria During Elimination Phase, Yunnan Province, China, 2011-2013. Emerg Infect Dis 22:1363-70
Guo, Suqin; He, Lishan; Tisch, Daniel J et al. (2016) Pilot testing of dipsticks as point-of-care assays for rapid diagnosis of poor-quality artemisinin drugs in endemic settings. Trop Med Health 44:15

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