The spread of African swine fever (ASF) poses a grave threat to the global swine industry. Understanding transmission dynamics, such as through mechanistic modeling, is critical for designing effective control strategies. Articles were examined across multiple epidemiological and model characteristics. Model filiation was determined through creation of a neighbor-joined tree using phylogenetic software. Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented. The majority of models (18) were parameterized to the genotype II isolates currently circulating in Europe and Asia. Estimated transmission parameters varied widely as did parameter assumptions between models. Uncertainties on epidemiological and ecological parameters were usually accounted for to assess the impact on the modeled infection trajectory. Almost half of the studies stem from one of two models . We call for a diversification of modeling approaches through developing additional frameworks. All models but one are host specific to either domestic pigs or wild boar , despite the fact that spillover events between the domestic and wild compartments can play an important role in  outbreaks. The development of models incorporating this transmission is crucial. All compared control strategies were defined a priori, and future models should be built to identify optimal contributions across many control methods. Further, control strategies were examined in competition, opposed to how they would be synergistically implemented. For ASF models to effectively support decision-making , these limitations need to be addressed.
The spread of African swine fever (ASF) poses a grave threat to the global swine industry. Understanding transmission dynamics, such as through mechanistic modeling, is critical for designing effective control strategies. Articles were examined across multiple epidemiological and model characteristics. Model filiation was determined through creation of a neighbor-joined tree using phylogenetic software. Of 34 four articles qualifying for inclusion, four main modelling objectives were identified: estimating transmission parameters ( 11 studies), assessing determinants of transmission ( 7 ), examining consequences of hypothetical outbreaks ( 5 ), and assessing alternative control strategies ( 11) . Estimated transmission parameters varied widely as did parameter assumptions between models. Uncertainties on epidemiological and ecological parameters were usually accounted for to assess the impact on the modeled infection trajectory. Almost all models are host specific , being developed for either domestic pigs or wild boar despite the fact that spillover events between domestic pigs and wild boar are evidenced to play an important role in ASF outbreaks. The development of models incorporating such transmission routes is crucial. All compared control strategies were defined a priori, and future models should be built to identify optimal contributions across many control methods. Further, control strategies were examined in competition, opposed to how they would be synergistically implemented. While comparing strategies is beneficial for identifying a rank-order efficacy of control methods, this structure does not necessarily determine the most effective combination of all available strategies. In order for ASFV models to effectively support decision-making in controlling ASFV globally, these modelling limitations need to be addressed.
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, metapopulation (5), and individual-based (8) model frameworks were represented. The majority of models (18) were parameterized to the genotype II isolates currently circulating in Europe and Asia.
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half of the studies stem from one of two models . We call for a diversification of modeling approaches through developing additional frameworks. All models but one
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While comparing strategies is beneficial for identifying a rank-order efficacy of control methods, this structure does not necessarily determine the most effective combination of all available strategies. In order for ASFV
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in controlling ASFV globally, these modelling