Modelling and biological control of vector-borne diseases: the case of Malaria and Dengue

• Grant number: 19/22157-5
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2020
• End date: December 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Mathematics - Applied Mathematics
• Agreement: INRIA
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: Cláudia Pio Ferreira
• Grantee: Cláudia Pio Ferreira
• Principal researcher abroad: Pierre-Alexandre Jacques Bliman
• Institution abroad: Institut National de Recherche en Informatique et en Automatique (INRIA Paris), France
• Host Institution: Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
• Associated researchers: Abderrahman Iggidr ; Luis Manuel Lopes Neves de Almeida ; Mostafa Adimy ; Renato Mendes Coutinho ; Roberto André Kraenkel ; Sergio Muniz Oliva Filho
• Associated research grant: 18/24058-1 - Arboviroses: dynamics and vector control, AP.R

Abstract

Taking into account all the infectious disease spread worldwide, vector-borne diseases account for over 17%. For a huge part of them, no efficient vaccine is available, and control efforts must be done on the vector population. Focusing on dengue and malaria, two diseases transmitted by vector mosquito and which cause high morbidity and mortality around the world, this project aims to model disease transmission, its spread and control, in a context of climatic and environmental change. For this, the main drives of disease transmission will be addressed to understand which factors modulate the spatio-temporal patterns observed, especially in Brazil. Combining techniques of data analysis with mathematical models and control theory, the plan is to work on data analysis to define potential biotic and abiotic factors that drives malaria and dengue disease dynamics; to study and model the effects of seasonality on the spread of the diseases; to understand spatial aspects of the transmission through the setup of models capable to account for nonlocal and heterogeneous aspect; and to analyse alternative approaches of mosquito control, especially the biological control methods based on sterile mosquitoes or on infection by bacterium that reduces the vectorial capacity. (AU)

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE ALMEIDA, GABRIEL BERG; PRONUNCIATE, MICHELI; GROTTO, REJANE MARIA TOMMASINI; AZEVEDO PUGLIESI, EDMUR; GUIMARAES, RAUL BORGES; VILCHES, THOMAS NOGUEIRA; MENDES COUTINHO, RENATO; CATAO, RAFAEL DE CASTRO; FERREIRA, CLAUDIA PIO; FORTALEZA, CARLOS MAGNO CASTELO BRANCO. Two hundred days of COVID-19 in Sao Paulo State, Brazil. EPIDEMIOLOGY AND INFECTION, v. 148, DEC 2 2020. (18/24058-1, 19/22157-5)

BENEDITO, A. S.; FERREIRA, C. P.; ADIMY, M.. Modeling the dynamics of Wolbachia-infected and uninfected Aedes aegypti populations by delay differential equations. MATHEMATICAL MODELLING OF NATURAL PHENOMENA, v. 15, DEC 15 2020. (19/22157-5, 18/24058-1)

LOPES, LUIS E. S.; FERREIRA, CLAUDIA P.; OLIVA, SERGIO M.. Exploring the impact of temperature on the efficacy of replacing a wild Aedes aegypti population by a Wolbachia-carrying one. Applied Mathematical Modelling, v. 123, p. 14-pg., 2023-11-01. (20/10964-0, 19/22157-5)

CAMARGO, FELIPE DE A.; ADIMY, MOSTAFA; ESTEVA, LOURDES; METAYER, CLEMENCE; FERREIRA, CLAUDIA P.. Modeling the Relationship Between Antibody-Dependent Enhancement and Disease Severity in Secondary Dengue Infection. Bulletin of Mathematical Biology, v. 83, n. 8, AUG 2021. (19/22157-5, 19/23202-4)

FERREIRA, CLEUDIA P.; MARCONDES, DIEGO; MELO, MARIANA P.; OLIVA, SERGIO M.; PEIXOTO, CLEUDIA M.; PEIXOTO, PEDRO S.. A snapshot of a pandemic The interplay between social isolation and COVID-19 dynamics in Brazil. PATTERNS, v. 2, n. 10, OCT 8 2021. (19/22157-5, 16/18445-7)