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researcher

J. Aparicio

6 papers hereh-index 15948 citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • q-bio.PE5
  • stat.AP1
same name
  • J. Aparicio — 3 papers, h 7
  • J. Aparicio — 2 papers, h 34
  • J. Aparicio — 2 papers, h 10
  • J. Aparicio — 1 paper, h 13
  • J. Aparicio — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedRoss-Macdonald Models: Which one should we use?

12 citations · 12 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

q-bio.PE2022

Modelling macroparasitic diseases dynamics

Gonzalo Maximiliano Lopez, Juan Pablo Aparicio

In this work we present a general framework for the modeling of the transmission dynamics of macroparasites which do not reproduce within the host like Ascaris lumbricoides, Trichu…

q-bio.PE2022

Meteorological indicators of dengue epidemics in non-endemic Northwest Argentina

Javier Armando Gutierrez, Karina Laneri, Juan Pablo Aparicio +1

In the last two decades dengue cases increased significantly throughout the world. In several regions dengue re-emerged, particularly in Latin America, where dengue cases not only…

q-bio.PE2022

General model of sex distribution, mating probability and egg production for macroparasites with polygamous mating system

Gonzalo Maximiliano Lopez, Juan Pablo Aparicio

The reproductive habits of helminths are important for the study of the dynamics of their transmission. For populations of parasites distributed by Poisson or negative binomial mod…

stat.AP2022

Simple models for macro-parasite distributions in hosts

Gonzalo Maximiliano Lopez, Juan Pablo Aparicio

Negative binomial distribution is the most used distribution to model macro-parasite burden in hosts. However reliable maximum likelihood parameter estimation from data is far from…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.