Update README.md

README.md

@@ -4,7 +4,7 @@ Mosquito movement plays an important role in malaria transmission dynamics and v
 The idea of micro-simulation was described by the late Richard Carter (Carter, 2002)^[Carter R (2002) Spatial simulation of malaria transmission and its control by malaria transmission blocking vaccination. International Journal for Parasitology 32: 1617–1624. doi:10.1016/S0020-7519(02)00190-X].  
 
 This software implements *behavioral state models,* which are a natural complement to micro-simulation. The basic premise is that mosquitoes are typically *searching* for a resource, not wandering around aimlessly. 
-Over their lives, mosquito behaviors are determined by a physiological state and its associated behavioral algorithms. 
+Over their lives, mosquito behaviors are determined by a physiological state and its associated behavioral algorithm(s). 
 The search algorithms have evolved to accomplish a task that increases a mosquito's fitness. To survive and lay eggs, mosquitoes must find resources: mates, vertebrate hosts to blood feed, aquatic habitats to lay eggs, and sugar sources for energy. Other states could include a resting period, such as the post-prandial rest to concentrate a blood meal. 
 Behavioral state models for mosquitoes are a type of compartmental model where mosquito populations are sub-divided by their physiological / behavioral states, and changes in behavioral states can occur as a result of successfully blood feeding, egg laying, sugar feeding, mating, and resting. 
 These behavioral states are different than the Ross-Macdonald model's states that represent infection status for parasite transmission dynamics: uninfected, infected but not yet infective, and infective. By considering *both* the physiological/behavioral state and infection states, it might be possible to understand how local features of malaria transmission could be the result mosquito behavioral ecology and the heterogeneous distribution of resources, an idea pioneered by Arnaud Le Menach, *et al.* (2005)^[Le Menach A, McKenzie FE, Flahault A, Smith DL (2005) The unexpected importance of mosquito oviposition behaviour for malaria: Non-productive larval habitats can be sources for malaria transmission. Malar J. 4: 23, doi:10.1186/1475-2875-4-23].
@@ -14,7 +14,7 @@ The point sets in these micro-simulation models thus represent the locations of
 The first paper to combine *micro-simulation* with *behavioral state modeling* was an agent based model published by Weidong Gu and Robert J Novak (2009 a,^[Gu W,  Novak RJ (2009). Agent-based modelling of mosquito foraging behaviour for malaria control, Trans R Soc Trop Med Hyg 103: 1105–1112, https://doi.org/10.1016/j.trstmh.2009.01.006] b^[Gu W, Novak RJ (2009). Predicting the impact of insecticide-treated bed nets on malaria transmission: the devil is in the detail. Malar J 8:256, https://doi.org/10.1186/1475-2875-8-256]).
 A rigorous mathematical framework to describe mosquito behavioral state micro-simulation was developed by Alex Perkins, *et al.*, (2013)^[Perkins TA, Scott TW, Le Menach A, Smith DL (2013). Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission. PLoS Comput Biol 9:e1003327, https://doi.org/10.1371/journal.pcbi.1003540]. An individual-based model, 
 called MBITES (Mosquito Bout-based and Individual-based Transmission Ecology Simulator), 
-was developed by Sean Wu, *et al.* (2020)^[Wu SL, Sánchez C HM, Henry JM, Citron DT, ... (2020). Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology. PLoS Comput Biol 16:e1007446, doi:10.1371/journal.pcbi.1007446]. 
+was developed by Sean L Wu, *et al.* (2020)^[Wu SL, *et al.*, (2020). Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology. PLoS Comput Biol 16:e1007446, doi:10.1371/journal.pcbi.1007446]. 
 This list of papers is by no means exhaustive, and a systematic review of such models is needed.
 
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@@ -26,9 +26,10 @@ In searching for resources, the wind speed and direction are major concerns that
 Mosquito movement and mosquito population dynamics are thus determined by wind, behavior, and the distribution of resources.
 Mosquitoes are moving among resource point sets distributed on landscapes, so while standard approaches based on the mathematics of *diffusion* might seem reasonable (for example, see Lutambi ML, *et al*, 2013)^[Lutambi ML, *et al.* (2013).
 Mathematical modelling of mosquito dispersal in a heterogeneous environment.
-Mathematical Biosciences 241:198-216, https://doi.org/10.1016/j.mbs.2012.11.013], the underlying mathematics governing aggregate movement patterns of mosquito populations are related to both search and to the co-distribution of resources.
+Mathematical Biosciences 241:198-216, https://doi.org/10.1016/j.mbs.2012.11.013], the underlying mathematics governing aggregate movement patterns of mosquito populations are related to both search and to the co-distribution of resources. 
+The emerging patterns are highly structured and complex. 
 This is not to say that diffusion-based models are not *useful,* but that we might learn something new by describing and analyzing mosquito movement in models that are highly realistic. 
-*Spatial Dynamics of Malaria Transmission,* for example, introduces a meta-population model for mosquito spatial ecology, where the patch-based diffusion model is motivated by the ideas of *search* and heterogeneous resource availability (Wu SL, *et al.*, 2023)^[Wu SL, *et al.* (2023) Spatial dynamics of malaria transmission. PLoS Comput Biol 19(6): e1010684. https://doi.org/10.1371/journal.pcbi.1010684].
+*Spatial Dynamics of Malaria Transmission,* for example, introduces a meta-population model for mosquito spatial ecology, where the patch-based diffusion model is motivated by the ideas of *search* and heterogeneous resource availability (Wu SL, *et al.*, 2023)^[Wu SL, *et al.* (2023) Spatial dynamics of malaria transmission. PLoS Comput Biol 19(6): e1010684. https://doi.org/10.1371/journal.pcbi.1010684]; the approach was motivated by MBITES (Wu SL, *et al.*, 2020)^[Sean L Wu, *et al.* (2020). Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology. PLoS Comput Biol 16:e1007446, doi:10.1371/journal.pcbi.1007446]
 
 It is challenging to set up, simulate, analyze, and visualize the outputs of micro-simulation models. This software, `motrap.micro`, was developed lower the human costs of model development with the hope of encouraging new research. 
 We hope this software can be used to advance our understanding of mosquito spatial ecology and the spatial dynamics of malaria and other mosquito-transmitted diseases. There are several promising areas of research: understanding intervention *coverage* as a spatial concept; the *effect sizes* understood spatially, especially in relation to coverage when those interventions *repel* mosquitoes from an area; spatial *area effects* of vector control; mosquito spatial dynamics; *spatial targeting* for malaria control; sampling mosquito populations and the robustness of the metrics used to measure mosquito bionomic parameters; theory to support *larval source management;* the spread of genetically modified mosquitoes and effect sizes; and finally, the fundamental concept of a mosquito *niche.*