COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities

Rivas, Ariel L.; Regenmortel, M.H.V. Van

doi:10.1016/j.ymeth.2021.05.014

Cited by 5 publications

(4 citation statements)

References 114 publications

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“…Several investigations have focused on the prediction of the epidemic trend of COVID-19 ( 18 – 21 ), but there are few reports of countries that report high-resolution, geo-epidemiological data. Aggregate (at the level of states- or country-wide) data of epidemics can be irrelevant when the local levels are not factored in the absence of geo-epidemiological data ( 22 ).…”

Section: Discussionmentioning

confidence: 99%

“…As an argument, only knowing the infection rate of a state as large as Texas, in the USA, or countries as extended as Russia and Chile do not facilitate cost-effective, site-specific and control measures. In contrast, it was analyzing actual geo-temporal-epidemiological data that it was discovered that many epidemics (including COVID-19) disseminate through preexisting connecting structures (e.g., road networks, airlines transports) ( 22 , 27 ).…”

Section: Discussionmentioning

confidence: 99%

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Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective

Vallée

2022

Front. Public Health

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The spread of the COVID-19 pandemic has shown great heterogeneity between regions of countries, e. g., in the United States of America (USA). With the growing of the worldwide COVID-19 pandemic, there is a need to better highlight the variability in the trajectory of this disease in different worldwide geographic areas. Indeed, the epidemic trends across areas can display completely different evolution at a given time. Geo-epidemiological analyses using data, that are publicly available, could be a major topic to help governments and public administrations to implement health policies. Geo-epidemiological analyses could provide a basis for the implementation of relevant public health policies. With the COVID-19 pandemic, geo-epidemiological analyses can be readily utilized by policy interventions and USA public health authorities to highlight geographic areas of particular concern and enhance the allocation of resources.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective

Vallée

2022

Front. Public Health

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“…Geo-epidemiological analyses of epidemics is an approach by which one compares data of epidemics across different geographical regions and populations, preferably at high geographical resolution, and in the process helps to identify environmental and socio-economic factors that govern the detected patterns and shape prevention, resource-planning, policy making, funding, healthcare considerations, and therapeutic intervention [ 3 , 4 ]. Geo-epidemiological analyses allow comparison of epidemiological data of epidemics through a geographical and population prism and can improve the local and global health policies [ 5 – 7 ].…”

Section: Introductionmentioning

confidence: 99%

Geo-epidemiological approach of the COVID-19 pandemic in France and in Europe for public health policies

Vallée

2023

J Public Health Pol

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The spread of the COVID-19 pandemic has shown great heterogeneity between countries that merits investigation. There is a need to better highlight the variability in the pandemic trajectories in different geographic areas. By using openly available data from ‘GitHub’ COVID-19 dataset for Europe and from the official dataset of France for the period 2020 to 2021, I present the three COVID-19 waves in France and Europe in maps. The epidemic trends across areas display different evolutions for different time periods. National and European public health authorities will be able to improve allocation of resources for more effective public health measures based on geo-epidemiological analyses. Supplementary Information The online version contains supplementary material available at 10.1057/s41271-023-00402-z.

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“…One specific question that decision-makers need to answer is where, exactly, interventions may lead to less costly, earlier and/or more beneficial results ( 7 ). To develop geo-referenced, decision-making oriented analyses, inter/transdisciplinary approaches have been recommended ( 8 ). Such approaches may consider bio-geographical and dynamical data that may feed models meant to interrupt disease transmission and/or be cost-effective ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia

Rivas,

Smith,

Basiladze

et al. 2023

Front. Vet. Sci.

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IntroductionControl of zoonosis can benefit from geo-referenced procedures. Focusing on brucellosis, here the ability of two methods to distinguish disease dissemination patterns and promote cost-effective interventions was compared.MethodGeographical data on bovine, ovine and human brucellosis reported in the country of Georgia between 2014 and 2019 were investigated with (i) the Hot Spot (HS) analysis and (ii) a bio-geographical (BG) alternative.ResultsMore than one fourth of all sites reported cases affecting two or more species. While ruminant cases displayed different patterns over time, most human cases described similar geo-temporal features, which were associated with the route used by migrant shepherds. Other human cases showed heterogeneous patterns. The BG approach identified small areas with a case density twice as high as the HS method. The BG method also identified, in 2018, a 2.6–2.99 higher case density in zoonotic (human and non-human) sites than in non-zoonotic sites (which only reported cases affecting a single species) –a finding that, if corroborated, could support cost-effective policy-making.DiscussionThree dissemination hypotheses were supported by the data: (i) human cases induced by sheep-related contacts; (ii) human cases probably mediated by contaminated milk or meat; and (iii) cattle and sheep that infected one another. This proof-of-concept provided a preliminary validation for a method that may support cost-effective interventions oriented to control zoonoses. To expand these findings, additional studies on zoonosis-related decision-making are recommended.

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COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities

Cited by 5 publications

References 114 publications

Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective

Heterogeneity of the COVID-19 Pandemic in the United States of America: A Geo-Epidemiological Perspective

Geo-epidemiological approach of the COVID-19 pandemic in France and in Europe for public health policies

Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia

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