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Mendeley readers
| Title |
The temporal lagged association between meteorological factors and malaria in 30 counties in south-west China: a multilevel distributed lag non-linear analysis
|
|---|---|
| Published in |
Malaria Journal, February 2014
|
| DOI | 10.1186/1475-2875-13-57 |
| Pubmed ID | |
| Authors |
Xing Zhao, Fei Chen, Zijian Feng, Xiaosong Li, Xiao-Hua Zhou |
| Abstract |
The association between malaria and meteorological factors is complex due to the lagged and non-linear pattern. Without fully considering these characteristics, existing studies usually concluded inconsistent findings. Investigating the lagged correlation pattern between malaria and climatic variables may improve the understanding of the association and generate possible better prediction models. This is especially beneficial to the south-west China, which is a high-incidence area in China. |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Ethiopia | 1 | 1% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 82 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 12 | 14% |
| Student > Doctoral Student | 10 | 12% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Other | 15 | 17% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 17% |
| Environmental Science | 13 | 15% |
| Agricultural and Biological Sciences | 11 | 13% |
| Computer Science | 7 | 8% |
| Nursing and Health Professions | 5 | 6% |
| Other | 18 | 21% |
| Unknown | 17 | 20% |