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  1. Article ; Online: The importance of community engagement on COVID-19 vaccination strategy

    Agastya Mondal

    EClinicalMedicine, Vol 32, Iss , Pp 100754- (2021)

    Lessons from two California pilot programs

    2021  

    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The importance of community engagement on COVID-19 vaccination strategy: Lessons from two California pilot programs.

    Mondal, Agastya

    EClinicalMedicine

    2021  Volume 32, Page(s) 100754

    Language English
    Publishing date 2021-02-11
    Publishing country England
    Document type Journal Article
    ISSN 2589-5370
    ISSN (online) 2589-5370
    DOI 10.1016/j.eclinm.2021.100754
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: MGDrivE 3: A decoupled vector-human framework for epidemiological simulation of mosquito genetic control tools and their surveillance.

    Mondal, Agastya / C, Héctor M Sánchez / Marshall, John M

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Novel mosquito genetic control tools, such as CRISPR-based gene drives, hold great promise in reducing the global burden of vector-borne diseases. As these technologies advance through the research and development pipeline, there is a growing need for ... ...

    Abstract Novel mosquito genetic control tools, such as CRISPR-based gene drives, hold great promise in reducing the global burden of vector-borne diseases. As these technologies advance through the research and development pipeline, there is a growing need for modeling frameworks incorporating increasing levels of entomological and epidemiological detail in order to address questions regarding logistics and biosafety. Epidemiological predictions are becoming increasingly relevant to the development of target product profiles and the design of field trials and interventions, while entomological surveillance is becoming increasingly important to regulation and biosafety. We present MGDrivE 3 (Mosquito Gene Drive Explorer 3), a new version of a previously-developed framework, MGDrivE 2, that investigates the spatial population dynamics of mosquito genetic control systems and their epidemiological implications. The new framework incorporates three major developments: i) a decoupled sampling algorithm allowing the vector portion of the MGDrivE framework to be paired with a more detailed epidemiological framework, ii) a version of the Imperial College London malaria transmission model, which incorporates age structure, various forms of immunity, and human and vector interventions, and iii) a surveillance module that tracks mosquitoes captured by traps throughout the simulation. Example MGDrivE 3 simulations are presented demonstrating the application of the framework to a CRISPR-based homing gene drive linked to dual disease-refractory genes and their potential to interrupt local malaria transmission. Simulations are also presented demonstrating surveillance of such a system by a network of mosquito traps. MGDrivE 3 is freely available as an open-source R package on CRAN (https://cran.r-project.org/package=MGDrivE2) (version 2.1.0), and extensive examples and vignettes are provided. We intend the software to aid in understanding of human health impacts and biosafety of mosquito genetic control tools, and continue to iterate per feedback from the genetic control community.
    Language English
    Publishing date 2023-09-12
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.09.09.556958
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Eliminating Malaria Vectors with Precision Guided Sterile Males.

    Smidler, Andrea L / Apte, Reema A / Pai, James J / Chow, Martha L / Chen, Sanle / Mondal, Agastya / Sánchez C, Héctor M / Antoshechkin, Igor / Marshall, John M / Akbari, Omar S

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Controlling the principal African malaria vector, the ... ...

    Abstract Controlling the principal African malaria vector, the mosquito
    Language English
    Publishing date 2023-07-21
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.07.20.549947
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Dual effector population modification gene-drive strains of the African malaria mosquitoes,

    Carballar-Lejarazú, Rebeca / Dong, Yuemei / Pham, Thai Binh / Tushar, Taylor / Corder, Rodrigo M / Mondal, Agastya / Sánchez C, Héctor M / Lee, Hsu-Feng / Marshall, John M / Dimopoulos, George / James, Anthony A

    Proceedings of the National Academy of Sciences of the United States of America

    2023  Volume 120, Issue 29, Page(s) e2221118120

    Abstract: Proposed genetic approaches for reducing human malaria include population modification, which introduces genes into vector mosquitoes to reduce or prevent parasite transmission. We demonstrate the potential of Cas9/guide RNA (gRNA)-based gene-drive ... ...

    Abstract Proposed genetic approaches for reducing human malaria include population modification, which introduces genes into vector mosquitoes to reduce or prevent parasite transmission. We demonstrate the potential of Cas9/guide RNA (gRNA)-based gene-drive systems linked to dual antiparasite effector genes to spread rapidly through mosquito populations. Two strains have an autonomous gene-drive system coupled to dual anti-
    MeSH term(s) Animals ; Male ; Humans ; Anopheles/genetics ; Anopheles/parasitology ; Mosquito Vectors/genetics ; Malaria/prevention & control ; Plasmodium falciparum/genetics ; Sporozoites ; Malaria, Falciparum/parasitology
    Language English
    Publishing date 2023-07-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2221118120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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