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. Author manuscript; available in PMC: 2025 Sep 18.
Published in final edited form as: Anim Behav. 2024 Apr 1;211:147–161. doi: 10.1016/j.anbehav.2024.03.002

Table A1.

Model specifications

Question Model
Did the hurricane and social status influence the prevalence and intensity of parasite infections? prev_coli ~ age*hurricane + rank*age + sex + season
prev_coli ~ age + hurricane + rank + sex + season (main effect)
prev_strong ~ age + hurricane + rank + sex + season
prev_trichu ~ age + hurricane + rank + sex + season
int_proto ~ age + hurricane + rank + sex + season
Did the number of weak connections an individual had predict infection risk? prev_coli ~ weak_groom + sex + age + social status
prev_strong ~ weak_groom + sex + age + social status
prev_trichu ~ weak_groom + age + sex + social status
prev_coli ~ weak_prox + sex + age + social status
prev_strong ~ weak_prox + sex + age + social status
prev_trichu ~ weak_prox + age + sex + social status
Did the frequency of interaction with strong partners predict infection risk? prev_coli ~ groom_str + sex + age + social status
prev_strong ~ groom_str + sex + age + social status
prev_trichu ~ groom_str + age + sex + social status

prev_coli = presence/absence of Balantidium coli, prev_strong = presence/absence of Strongyloides fuelleborni, prev_trichu = presence/absence of Trichuris trichiura, hurricane = sampled before or after the hurricane Maria, sex = an individual’s sex, age = animal’s age when sampled, season = sampled collected during the wet or rainy season, int_prot = intensity of protozoan infection (B. coli), social status = rank of an animal relative to all same-sex members of its group, weak_groom = number of weak grooming connections, weak_prox = number of weak proximity connections, groom_str = strength to strong grooming partners.