Search Results - "Rivas, Ariel"

Biologically grounded scientific methods: The challenges ahead for combating epidemics by Rivas, Ariel L., Hoogesteijn, Almira L.

“…•Scientific methods should be grounded in the field where they are applied.•Biomedicine has not developed methodological sciences as much as other…”
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COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities by Rivas, Ariel L., van Regenmortel, Marc H.V.

“…•A partial summary of the +130,000 articles published on COVID-19 was conducted.•Nine topics were singled out which may require additional interdisciplinary…”
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Toward interdisciplinary methods appropriate for optimal epidemic control by Rivas, Ariel L., van Regenmortel, Marc H.V.

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Visualizing the indefinable: three-dimensional complexity of 'infectious diseases' by Leitner, Gabriel, Blum, Shlomo E, Rivas, Ariel L

“…The words 'infection' and 'inflammation' lack specific definitions. Here, such words are not defined. Instead, the ability to visualize host-microbial…”
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Editorial: Interdisciplinary approaches in veterinary sciences after COVID-19 by Rivas, Ariel L, Smith, Stephen D

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Personalized, disease-stage specific, rapid identification of immunosuppression in sepsis by Pappa, Theodora, Rivas, Ariel L., Iandiorio, Michelle J., Hoogesteijn, Almira L., Fair, Jeanne M., Rojas Gil, Andrea Paola, Burriel, Angeliki R., Bagos, Pantelis G., Chatzipanagiotou, Stylianos, Ioannidis, Anastasios

“…Data overlapping of different biological conditions prevents personalized medical decision-making. For example, when the neutrophil percentages of surviving…”
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Data structuring may prevent ambiguity and improve personalized medical prognosis by Libertin, Claudia R., Kempaiah, Prakasha, Gupta, Yash, Fair, Jeanne M., van Regenmortel, Marc H.V., Antoniades, Athos, Rivas, Ariel L., Hoogesteijn, Almira L.

“…Topics expected to influence personalized medicine (PM), where medical decisions, practices, and treatments are tailored to the individual patient, are…”
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Beyond numbers: the informative patterns of immuno-staphylococcal dynamics by Rivas, Ariel L, Hoogesteijn, Almira L, Piccinini, Renata

“…To evaluate new drugs, the immune system should be considered. Here we evaluated a proof-of-concept that uncovers bacterial-leukocyte interactions. Analyzing…”
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Early network properties of the COVID-19 pandemic – The Chinese scenario by Rivas, Ariel L., Febles, José L., Smith, Stephen D., Hoogesteijn, Almira L., Tegos, George P., Fasina, Folorunso O., Hittner, James B.

“…•Classic epidemiological control programs assume that the population is homogeneously distributed in geographical areas also regarded to be…”
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Preventing Data Ambiguity in Infectious Diseases with Four-Dimensional and Personalized Evaluations by Iandiorio, Michelle J, Fair, Jeanne M, Chatzipanagiotou, Stylianos, Ioannidis, Anastasios, Trikka-Graphakos, Eleftheria, Charalampaki, Nikoletta, Sereti, Christina, Tegos, George P, Hoogesteijn, Almira L, Rivas, Ariel L

“…Diagnostic errors can occur, in infectious diseases, when anti-microbial immune responses involve several temporal scales. When responses span from nanosecond…”
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Multi-Cellular Immunological Interactions Associated With COVID-19 Infections by Verma, Jitender S, Libertin, Claudia R, Gupta, Yash, Khanna, Geetika, Kumar, Rohit, Arora, Balvinder S, Krishna, Loveneesh, Fasina, Folorunso O, Hittner, James B, Antoniades, Athos, van Regenmortel, Marc H V, Durvasula, Ravi, Kempaiah, Prakasha, Rivas, Ariel L

“…To rapidly prognosticate and generate hypotheses on pathogenesis, leukocyte multi-cellularity was evaluated in SARS-CoV-2 infected patients treated in India or…”
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Effects of intra-mammary bacterial infection with coagulase negative staphylococci and stage of lactation on shedding of epithelial cells and infiltration of leukocytes into milk: Comparison among cows, goats and sheep by Leitner, Gabriel, Merin, Uzi, Krifucks, Oleg, Blum, Shlomo, Rivas, Ariel L., Silanikove, Nissim

“…The effects of mammary gland bacterial infection and stage of lactation on leukocyte infiltration into the mammary gland were compared among cows, goats and…”
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The Third Cognitive Revolution: The consequences and possibilities for biomedical research by Hittner, James B, Hoogesteijn, Almira L, Fair, Jeanne M, van Regenmortel, Marc HV, Rivas, Ariel L

“…Graphical Abstract The Third Cognitive Revolution poses particular challenges for biomedical research to adopt new knowledge. Interdisciplinary education at…”
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Where and when to vaccinate? Interdisciplinary design and evaluation of the 2018 Tanzanian anti-rabies campaign by Fasina, Folorunso O., Mtui-Malamsha, Niwael, Mahiti, Gladys R., Sallu, Raphael, OleNeselle, Moses, Rubegwa, Bachana, Makonnen, Yilma J., Kafeero, Fred, Ruheta, Martin, Nonga, Hezron E., Swai, Emmanuel, Makungu, Selemani, Killewo, Japhet, Otieno, Edward G., Lupindu, Athumani M., Komba, Erick, Mdegela, Robinson, Assenga, Justine K., Bernard, Jubilate, Hussein, Mohamed, Marandu, Walter, Warioba, James, Kaaya, Eliona, Masanja, Pius, Francis, Gundelinda, Kessy, Violet M., Savy, Janique, Choyo, Hija, Ochieng, Justus, Hoogesteijn, Almira L., Fasina, Margaret M., Rivas, Ariel L.

“…•A two-phase vaccination against rabies was designed and executed in northern Tanzania, in 2018, which included geo-epidemiological and economic…”
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Decoding Immuno-Competence: A Novel Analysis of Complete Blood Cell Count Data in COVID-19 Outcomes by Kempaiah, Prakasha, Libertin, Claudia R, Chitale, Rohit A, Naeyma, Islam, Pleqi, Vasili, Sheele, Johnathan M, Iandiorio, Michelle J, Hoogesteijn, Almira L, Caulfield, Thomas R, Rivas, Ariel L

“…While 'immuno-competence' is a well-known term, it lacks an operational definition. To address this omission, this study explored whether the temporal and…”
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Connecting network properties of rapidly disseminating epizoonotics by Rivas, Ariel L, Fasina, Folorunso O, Hoogesteyn, Almira L, Konah, Steven N, Febles, José L, Perkins, Douglas J, Hyman, James M, Fair, Jeanne M, Hittner, James B, Smith, Steven D

“…To effectively control the geographical dissemination of infectious diseases, their properties need to be determined. To test that rapid microbial dispersal…”
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Assessing the Dynamics and Complexity of Disease Pathogenicity Using 4-Dimensional Immunological Data by Rivas, Ariel L, Hoogesteijn, Almira L, Antoniades, Athos, Tomazou, Marios, Buranda, Tione, Perkins, Douglas J, Fair, Jeanne M, Durvasula, Ravi, Fasina, Folorunso O, Tegos, George P, van Regenmortel, Marc H V

“…Investigating disease pathogenesis and personalized prognostics are major biomedical needs. Because patients sharing the same diagnosis can experience…”
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From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets by Satashia, Parthkumar H., Franco, Pablo Moreno, Rivas, Ariel L., Isha, Shahin, Hanson, Abby, Narra, Sai Abhishek, Singh, Kawaljeet, Jenkins, Anna, Bhattacharyya, Anirban, Guru, Pramod, Chaudhary, Sanjay, Kiley, Sean, Shapiro, Anna, Martin, Archer, Thomas, Mathew, Sareyyupoglu, Basar, Libertin, Claudia R., Sanghavi, Devang K.

“…BackgroundThe COVID-19 pandemic intensified the use of scarce resources, including extracorporeal membrane oxygenation (ECMO) and mechanical ventilation (MV)…”
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Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia by Rivas, Ariel L, Smith, Stephen D, Basiladze, V, Chaligava, Tengiz, Malania, Lile, Burjanadze, Irma, Chichinadze, Tamar, Suknidze, Nikoloz, Bolashvili, Nana, Hoogesteijn, Almira L, Gilbertson, Kendra, Bertram, Jonathan H, Fair, Jeanne Marie, Webb, Colleen T, Imnadze, Paata, Kosoy, Michael

“…Control of zoonosis can benefit from geo-referenced procedures. Focusing on brucellosis, here the ability of two methods to distinguish disease dissemination…”
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Ecological and Epidemiological Findings Associated with Zoonotic Rabies Outbreaks and Control in Moshi, Tanzania, 2017-2018 by Mtui-Malamsha, Niwael, Sallu, Raphael, Mahiti, Gladys R, Mohamed, Hussein, OleNeselle, Moses, Rubegwa, Bachana, Swai, Emmanuel S, Makungu, Selemani, Otieno, Edward G, Lupindu, Athuman M, Komba, Erick, Mdegela, Robinson, Assenga, Justine A, Bernard, Jubilate, Marandu, Walter, Warioba, James, Makondo, Zacharia, Chang'a, Jelly, Mramba, Furaha, Nonga, Hezron, Killewo, Japhet, Kafeero, Fred, Makonnen, Yilma J, Rivas, Ariel L, Fasina, Folorunso O

“…Approximately 1500 people die annually due to rabies in the United Republic of Tanzania. Moshi, in the Kilimanjaro Region, reported sporadic cases of human…”
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