T Alex Perkins
Biographic Data
| ID | 5082283 |
|---|---|
| NAME | T Alex Perkins |
| GIVEN NAMES | T Alex |
| FAMILY NAME | Perkins |
| SIGNATURE | PERKINS T A |
| AFFILIATIONS | University of Notre Dame |
| ORCID | 0000-0002-7518-4014 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Does ignoring transmission dynamics lead to underestimation of the impact of interventions against mosquito-borne disease
New vector-control technologies to fight mosquito-borne diseases are urgently needed, the adoption of which depends on efficacy estimates from large-scale cluster-randomised trials (CRTs). The release of Wolbachia -infected mosquitoes is one promising strategy to curb dengue virus (DENV) transmission, and a recent CRT reported impressive reductions in dengue incidence following the release of these mosquitoes. Such trials can be affected by multi…
Aggregated mobility data could help fight Covid-19
Introduction to the article: As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding the effectiveness of public messaging and large-scale social distancing interventions is critical. The research and public health response communities can and should use population mobility data collected by private companies, with appropriate legal, organizational, and computational safeguards in place. When aggregated, these data can help ref…
Mapping global variation in human mobility
The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We q…
Mapping global variation in human mobility
The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We q…
Aggregated mobility data could help fight Covid-19
Introduction to the article: As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding the effectiveness of public messaging and large-scale social distancing interventions is critical. The research and public health response communities can and should use population mobility data collected by private companies, with appropriate legal, organizational, and computational safeguards in place. When aggregated, these data can help ref…
Mapping global variation in human mobility
The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We q…
Does ignoring transmission dynamics lead to underestimation of the impact of interventions against mosquito-borne disease
New vector-control technologies to fight mosquito-borne diseases are urgently needed, the adoption of which depends on efficacy estimates from large-scale cluster-randomised trials (CRTs). The release of Wolbachia -infected mosquitoes is one promising strategy to curb dengue virus (DENV) transmission, and a recent CRT reported impressive reductions in dengue incidence following the release of these mosquitoes. Such trials can be affected by multi…
Medicine (3 works) · Business (2 works) · Computer Science (2 works) · Disease (2 works) · Environmental health (2 works) · Nursing (2 works) · Psychological intervention (2 works) · Public health (2 works) · 2019-20 coronavirus outbreak (1 work) · Biology (1 work)