BackgroundThe 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.MethodsThis 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.ResultsA 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.ConclusionsThe 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.

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Though malaria control initiatives have markedly reduced malaria prevalence in recent decades, global eradication is far from actuality. Recent studies show that environmental and social heterogeneities in low-transmission settings have an increased weight in shaping malaria micro-epidemiology. New integrated and more localized control strategies should be developed and tested. Here we present a set of agent-based models designed to study the influence of local scale human movements on local scale malaria transmission in a typical Amazon environment, where malaria is transmission is low and strongly connected with seasonal riverine flooding. The agent-based simulations show that the overall malaria incidence is essentially not influenced by local scale human movements. In contrast, the locations of malaria high risk spatial hotspots heavily depend on human movements because simulated malaria hotspots are mainly centered on farms, were laborers work during the day. The agent-based models are then used to test the effectiveness of two different malaria control strategies both designed to reduce local scale malaria incidence by targeting hotspots. The first control scenario consists in treat against mosquito bites people that, during the simulation, enter at least once inside hotspots revealed considering the actual sites where human individuals were infected. The second scenario involves the treatment of people entering in hotspots calculated assuming that the infection sites of every infected individual is located in the household where the individual lives. Simulations show that both considered scenarios perform better in controlling malaria than a randomized treatment, although targeting household hotspots shows slightly better performance.

Like many other oceanic islands around the globe, environmental conditions, social circumstances and forces of globalization combine to challenge the sustainability of the Galapagos Archipelago of Ecuador. This paper describes a food-supply system in Galapagos that is mainly controlled by population growth, weak local agriculture, imports from mainland Ecuador and the influence of a growing tourism industry. We use system dynamics (SD) as a modeling technique in this paper to identify the main driving forces operating on the Galapagos food system to create a series of future scenarios and to examine the subsequent implications across the supply system structures. We model the supply side of the food system using secondary data collected from governmental and non-governmental sources. We find that the consumption profile of the local inhabitants of the Galapagos is on average higher than consumption in the Ecuadorian mainland. This fact, plus rapid growth of the local population fueled by the tourism industry, has created a decrease in per capita local food production and an increase on food import dependence that now, challenges the sustainability of the archipelago. Imports are the largest source of food in the archipelago. Approximately 75% of the agricultural food supply was transported from the mainland in 2017. Our model projects that this fraction will increase to 95% by 2037 with no changes in food policy. Moreover, any plan to increase tourism arrivals must be accompanied by a plan to address the subsistence needs of the new population that the tourism industry attracts. Policies to promote local agricultural growth should be central to the development strategy implemented in the Galapagos.