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Table 2. Descriptions of regions used (with corresponding country in parenthesis), the corresponding Map code in Fig 1, and the dominant attributed shark species for that region.

Table 2 Descriptions of regions used (with corresponding country in parenthesis), the corresponding Map code in Fig 1, and the dominant attributed shark species for that region.

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Table 1. Fatal and non-fatal outcomes of shark attacks by country from 1960-2015. Non-fatal outcomes globally represented 85% of attacks.
Table 1. Fatal and non-fatal outcomes of shark attacks by country from 1960-2015. Non-fatal outcomes globally represented 85% of attacks.
Fig 1. World map of countries (and regions) included in our analysis. Countries (n = 14) included are shown in blue, while regions are represented by numbers (n = 7) and are areas within the USA, the Republic of South Africa, or Australia.
Fig 1. World map of countries (and regions) included in our analysis. Countries (n = 14) included are shown in blue, while regions are represented by numbers (n = 7) and are areas within the USA, the Republic of South Africa, or Australia.
Fig 2. Shark attack rate (attacks per million people) from 1960-2015 for the 14 countries with the most shark attacks during this time. Black dots indicate annual rates, the black line represents the temporal trend, and the gray region indicates uncertainty (95% credible region) around the trend.
Fig 2. Shark attack rate (attacks per million people) from 1960-2015 for the 14 countries with the most shark attacks during this time. Black dots indicate annual rates, the black line represents the temporal trend, and the gray region indicates uncertainty (95% credible region) around the trend.
Fig 3. Annual probabilities of an increase in shark attack rate from 1960-2015 for the 14 countries with the most shark attacks during this time.
Fig 3. Annual probabilities of an increase in shark attack rate from 1960-2015 for the 14 countries with the most shark attacks during this time.
Fig 4. Shark attack rate (attacks per million people) from 1970-2015 for 7 regions in countries with the most attacks during this time. Black dots indicate a1 rates, the black line represents the temporal trend, and the gray region indicates uncertainty (95% credible region) around the trend.
Fig 4. Shark attack rate (attacks per million people) from 1970-2015 for 7 regions in countries with the most attacks during this time. Black dots indicate a1 rates, the black line represents the temporal trend, and the gray region indicates uncertainty (95% credible region) around the trend.
Fig 5. Annual probabilities of an increase in shark attacks rate from 1970-2015 for 7 regions in countries with the most attacks during this time.
Fig 5. Annual probabilities of an increase in shark attacks rate from 1970-2015 for 7 regions in countries with the most attacks during this time.
Fig 6. Proportion of shark attacks by victim activity over time from 1960-2015. (Diving includes Scuba diving, free diving and spearfishing; surfac includes any surface or top water activities; surfing include boogie boarding and body boarding; swimming includes wading.) The widths of the 5-yea periods are proportional to the sample size for the period, with thinner intervals indicating fewer samples (with 65 attacks for the period of 1975-1980 and 446 attacks for the period of 2010-2015, for reference).
Fig 6. Proportion of shark attacks by victim activity over time from 1960-2015. (Diving includes Scuba diving, free diving and spearfishing; surfac includes any surface or top water activities; surfing include boogie boarding and body boarding; swimming includes wading.) The widths of the 5-yea periods are proportional to the sample size for the period, with thinner intervals indicating fewer samples (with 65 attacks for the period of 1975-1980 and 446 attacks for the period of 2010-2015, for reference).
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Evolutionary BiologyScience PolicyEcologyShark Attacks
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