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X Demographics
Mendeley readers
| Title |
Effects of climatic and social factors on dengue incidence in Mexican municipalities in the state of Veracruz
|
|---|---|
| Published in |
Salud Pública de México, January 2017
|
| DOI | 10.21149/8414 |
| Pubmed ID | |
| Authors |
Grea Litai Moreno-Banda, Horacio Riojas-Rodríguez, Magali Hurtado-Díaz, Rogelio Danis-Lozano, Stephen Joel Rothenberg |
| Abstract |
To assess links between the social variables and longer-term El Niño-Southern Oscillation (ENSO) related weather conditions as they relate to the week-to-week changes in dengue incidence at a regional level. We collected data from 10 municipalities of the Olmeca region in México, over a 10 year period (January 1995 to December 2005). Negative binomial models with distributed lags were adjusted to look for associations between changes in the weekly incidence rate of dengue fever and climate variability. Our results show that it takes approximately six weeks for sea surface temperatures (SST -34) to affect dengue incidence adjusted by weather and social variables. Such models could be used as early as two months in advance to provide information to decision makers about potential epidemics. Elucidating the effect of climatic variability and social variables, could assist in the development of accurate early warning systems for epidemics like dengue, Chikungunya and Zika. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 105 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 18% |
| Student > Master | 18 | 17% |
| Other | 9 | 8% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Other | 23 | 21% |
| Unknown | 21 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 15% |
| Medicine and Dentistry | 14 | 13% |
| Social Sciences | 8 | 7% |
| Nursing and Health Professions | 6 | 6% |
| Environmental Science | 6 | 6% |
| Other | 31 | 29% |
| Unknown | 26 | 24% |