<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="Research Article" dtd-version="1.0"><front><journal-meta><journal-id journal-id-type="pmc">srjms</journal-id><journal-id journal-id-type="pubmed">SRJMS</journal-id><journal-id journal-id-type="publisher">SRJMS</journal-id><issn>2788-9483</issn></journal-meta><article-meta><article-id pub-id-type="doi">https://doi.org/10.47310/srjms.2022.v02i01.005</article-id><title-group><article-title>Mathematical Modeling and Its Applicability from Natural Disasters to Human Health</article-title></title-group><contrib-group><contrib contrib-type="author"><name><given-names>RicardoOsés</given-names><surname>Rodríguez</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>Rigoberto</given-names><surname>Fimia-Duarte</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>Daviddel Valle</given-names><surname>Laveaga</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>MeylinOtero</given-names><surname>Martin</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>NancyRuiz</given-names><surname>Cabrera</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>YaniraZaita</given-names><surname>Ferrer</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>José</given-names><surname>Iannacone</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>FrankM. Wilford</given-names><surname>González</surname></name></contrib></contrib-group><aff-id id="aff-a" /><abstract>Earthquakes and cyclones are two of the most destructive natural events, with the greatest consequences for both vector organism populations and human health. The objective of the research was to demonstrate how hurricanes and earthquakes can be predicted by mathematical modeling. The study was carried out based on the forecast of the atmospheric pressure variable, with a series of data, from 1977 to 2016 (tropical cyclones), while, in the case of earthquakes, we relied on the data series of Haiti (magnitude 6 or more), and which have occurred in this country (2000 to 2011), and thus achieve a forecast until the year 2096. The methodology used in the research was the Regressive Objective Regression (ROR). It was shown that the forecast coincided with what occurred during the passage of Hurricane Irma, except for a difference of three days and six hours. Good models were obtained for both longitude and latitude, as well as for month, day, hour, magnitude and depth for earthquakes of magnitude 6 or more. In Haiti it should be similar to the way it is presented in the rest of the world. It was possible to predict the occurrence of earthquakes in that country up to the year 2096. It is concluded that the prediction one and 11 years in advance of the trihourly atmospheric pressure is an important tool to foresee the impact of hurricanes in Cuba, as well as its direct relation with the diffusion and presentation of infectious entities of viral and parasitic etiology. In relation to earthquakes, it is possible to use the 11-year solar cycle to predict earthquakes, and the next one should occur in Haiti in the year 2031, month July, day 14, hour 9.20, minute 25.1, Latitude 36.60, Longitude 133.00, Depth 71.14, Magnitude 6.7 on the Richter scale.&amp;nbsp;</abstract></article-meta></front><body /><back /></article>