Vaishnavi Thakar
Datos Biográficos
| ID | 1341270 |
|---|---|
| NOMBRE | Vaishnavi Thakar |
| NOMBRES | Vaishnavi |
| APELLIDO | Thakar |
| FIRMA | THAKAR V |
| AFILIACIONES | The University of Texas at Dallas |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 1 |
| OBRAS COMO AUTOR | 2 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2020 |
| ÍNDICE H | 1 |
Unfolding Events in Space and Time
The world witnessed the COVID-19 pandemic in 2020. The first case of COVID-19 in the United States of America (USA) was confirmed on 21 January 2020, in Snohomish County in Washington State (WA). Following this, a rapid explosion of COVID-19 cases was observed throughout WA and the USA. Lack of access to publicly available spatial data at finer scales has prevented scientists from implementing spatial analytical techniques to gain insights into t…
Spatial Autocorrelation and Qualitative Sampling
Hidden populations are defined as subsets of a larger population that are hard to target with traditional (e.g., random) sampling methods. For qualitative research, difficulties of achieving a good sample could include the time of day surveys are conducted, the safety of interviewers in areas with high crime rates, or the unwillingness of members in a hidden population to interact with researchers. Various chain-driven methods, such as snowball s…
Spatial Autocorrelation and Qualitative Sampling
Hidden populations are defined as subsets of a larger population that are hard to target with traditional (e.g., random) sampling methods. For qualitative research, difficulties of achieving a good sample could include the time of day surveys are conducted, the safety of interviewers in areas with high crime rates, or the unwillingness of members in a hidden population to interact with researchers. Various chain-driven methods, such as snowball s…
Spatial Autocorrelation and Qualitative Sampling
Hidden populations are defined as subsets of a larger population that are hard to target with traditional (e.g., random) sampling methods. For qualitative research, difficulties of achieving a good sample could include the time of day surveys are conducted, the safety of interviewers in areas with high crime rates, or the unwillingness of members in a hidden population to interact with researchers. Various chain-driven methods, such as snowball s…
Unfolding Events in Space and Time
The world witnessed the COVID-19 pandemic in 2020. The first case of COVID-19 in the United States of America (USA) was confirmed on 21 January 2020, in Snohomish County in Washington State (WA). Following this, a rapid explosion of COVID-19 cases was observed throughout WA and the USA. Lack of access to publicly available spatial data at finer scales has prevented scientists from implementing spatial analytical techniques to gain insights into t…
Computer Science (2 obras) · Data-Driven Disease Surveillance (2 obras) · Geography (2 obras) · Spatial analysis (2 obras) · 2019-20 coronavirus outbreak (1 obra) · Autocorrelation (1 obra) · Biology (1 obra) · Cartography (1 obra) · Census and Population Estimation (1 obra) · COVID-19 and healthcare impacts (1 obra)