{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T06:15:51Z","timestamp":1793254551030,"version":"4.5.0"},"reference-count":52,"publisher":"BMJ","issue":"9","license":[{"start":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T00:00:00Z","timestamp":1695168000000},"content-version":"unspecified","delay-in-days":19,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Mathematics for Public Health (MfPH) Emerging Infectious Diseases Modelling Initiative","award":["RGPID-560523-2020"],"award-info":[{"award-number":["RGPID-560523-2020"]}]},{"name":"Natural Sciences and Engineering Research Council of Canada through the Discovery Grant Program","award":["RGPID-560523-2020"],"award-info":[{"award-number":["RGPID-560523-2020"]}]},{"name":"Fonds de Recherche du Qu\u00e9bec Scholar Program","award":["#307932 and #309037 J1 in Artificial Intelligence"],"award-info":[{"award-number":["#307932 and #309037 J1 in Artificial Intelligence"]}]},{"name":"OMNI Emerging Infectious Disease Modelling Initiative","award":["RGPID-560520-2020"],"award-info":[{"award-number":["RGPID-560520-2020"]}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2023,8,25]]},"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>\n                      <jats:italic>Aedes<\/jats:italic>\n                      mosquitoes are the primary vectors for the spread of viruses like dengue (DENV), zika (ZIKV) and chikungunya (CHIKV), all of which affect humans. Those diseases contribute to global public health issues because of their great dispersion in rural and urban areas. Mathematical and statistical models have become helpful in understanding these diseases\u2019 epidemiological dynamics. However, modelling the complexity of a real phenomenon, such as a viral disease, should consider several factors. This scoping review aims to document, identify and classify the most important factors as well as the modelling strategies for the spread of DENV, ZIKV and CHIKV.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and analysis<\/jats:title>\n                    <jats:p>We will conduct searches in electronic bibliographic databases such as PubMed, MathSciNet and the Web of Science for full-text peer-reviewed articles written in English, French and Spanish. These articles should use mathematical and statistical modelling frameworks to study dengue, zika and chikungunya, and their cocirculation\/coinfection with other diseases, with a publication date between 1 January 2011 and 31 July 2023. Eligible studies should employ deterministic, stochastic or statistical modelling approaches, consider control measures and incorporate parameters\u2019 estimation or considering calibration\/validation approaches. We will exclude articles focusing on clinical\/laboratory experiments or theoretical articles that do not include any case study. Two reviewers specialised in zoonotic diseases and mathematical\/statistical modelling will independently screen and retain relevant studies. Data extraction will be performed using a structured form, and the findings of the study will be summarised through classification and descriptive analysis. Three scoping reviews will be published, each focusing on one disease and its cocirculation\/co-infection with other diseases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Ethics and dissemination<\/jats:title>\n                    <jats:p>This protocol is exempt from ethics approval because it is carried out on published manuscripts and without the participation of humans and\/or animals. The results will be disseminated through peer-reviewed publications and presentations in conferences.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2023-074385","type":"journal-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T01:47:10Z","timestamp":1695174430000},"page":"e074385","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":7,"title":["Modelling the transmission of dengue, zika and chikungunya: a scoping review protocol"],"prefix":"10.1136","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2788-178X","authenticated-orcid":false,"given":"Jhoana P","family":"Romero-Leiton","sequence":"first","affiliation":[{"name":"Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6707-3536","authenticated-orcid":false,"given":"Kamal Raj","family":"Acharya","sequence":"additional","affiliation":[{"name":"D\u00e9partement de m\u00e9decine sociale et pr\u00e9ventive, \u00c9cole de Sant\u00e9 Publique, University of Montreal, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jane Elizabeth","family":"Parmley","sequence":"additional","affiliation":[{"name":"Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Arino","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bouchra","family":"Nasri","sequence":"additional","affiliation":[{"name":"D\u00e9partement de m\u00e9decine sociale et pr\u00e9ventive, \u00c9cole de Sant\u00e9 Publique, University of Montreal, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2023,9,19]]},"reference":[{"key":"2025121411335960000_13.9.e074385.1","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1186\/s12942-022-00317-0","article-title":"Climate-driven mosquito-borne viral suitability index: measuring risk transmission of dengue, chikungunya and Zika in Mexico","volume":"21","author":"Carreto","year":"2022","journal-title":"Int J Health Geogr"},{"key":"2025121411335960000_13.9.e074385.2","doi-asserted-by":"crossref","unstructured":"Heesterbeek H , Anderson RM , Andreasen V , et al . 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