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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A validated agent-based model to study the spatial and temporal heterogeneities of malaria incidence in the rainforest environment
|
|---|---|
| Published in |
Malaria Journal, December 2015
|
| DOI | 10.1186/s12936-015-1030-7 |
| Pubmed ID | |
| Authors |
Francesco Pizzitutti, William Pan, Alisson Barbieri, J Jaime Miranda, Beth Feingold, Gilvan R. Guedes, Javiera Alarcon-Valenzuela, Carlos F. Mena |
| Abstract |
The Amazon environment has been exposed in the last decades to radical changes that have been accompanied by a remarkable rise of both Plasmodium falciparum and Plasmodium vivax malaria. The malaria transmission process is highly influenced by factors such as spatial and temporal heterogeneities of the environment and individual-based characteristics of mosquitoes and humans populations. All these determinant factors can be simulated effectively trough agent-based models. This paper presents a validated agent-based model of local-scale malaria transmission. The model reproduces the environment of a typical riverine village in the northern Peruvian Amazon, where the malaria transmission is highly seasonal and apparently associated with flooding of large areas caused by the neighbouring river. Agents representing humans, mosquitoes and the two species of Plasmodium (P. falciparum and P. vivax) are simulated in a spatially explicit representation of the environment around the village. The model environment includes: climate, people houses positions and elevation. A representation of changes in the mosquito breeding areas extension caused by the river flooding is also included in the simulation environment. A calibration process was carried out to reproduce the variations of the malaria monthly incidence over a period of 3 years. The calibrated model is also able to reproduce the spatial heterogeneities of local scale malaria transmission. A "what if" eradication strategy scenario is proposed: if the mosquito breeding sites are eliminated through mosquito larva habitat management in a buffer area extended at least 200 m around the village, the malaria transmission is eradicated from the village. The use of agent-based models can reproduce effectively the spatiotemporal variations of the malaria transmission in a low endemicity environment dominated by river floodings like in the Amazon. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Madagascar | 1 | <1% |
| Unknown | 98 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 23% |
| Researcher | 21 | 20% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Student > Bachelor | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 26 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 15% |
| Agricultural and Biological Sciences | 13 | 12% |
| Social Sciences | 8 | 8% |
| Environmental Science | 8 | 8% |
| Computer Science | 5 | 5% |
| Other | 27 | 26% |
| Unknown | 28 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2016.
All research outputs
#6,964,092
of 22,836,570 outputs
Outputs from Malaria Journal
#2,139
of 5,572 outputs
Outputs of similar age
#110,995
of 390,618 outputs
Outputs of similar age from Malaria Journal
#54
of 152 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,572 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 390,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.