Hannah R Meredith
Biographic Data
| ID | 9066575 |
|---|---|
| NAME | Hannah R Meredith |
| GIVEN NAMES | Hannah R |
| FAMILY NAME | Meredith |
| SIGNATURE | MEREDITH H R |
| AFFILIATIONS | Duke Institute for Health Innovation |
| ORCID | 0000-0002-5315-7568 |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya
While many studies have characterized mobility patterns and disease dynamics of settled populations, few have focused on more mobile populations. Highly mobile groups are often at higher disease risk due to their regular movement that may increase the variability of their environments, reduce their access to health care, and limit the number of intervention strategies suitable for their lifestyles. Quantifying the movements and their associated d…
Plasmodium falciparum importation does not sustain malaria transmission in a semi-arid region of Kenya
Human movement impacts the spread and transmission of infectious diseases. Recently, a large reservoir of Plasmodium falciparum malaria was identified in a semi-arid region of northwestern Kenya historically considered unsuitable for malaria transmission. Understanding the sources and patterns of transmission attributable to human movement would aid in designing and targeting interventions to decrease the unexpectedly high malaria burden in the r…
The Incubation Period of Coronavirus Disease 2019 (Covid-19) From Publicly Reported Confirmed Cases
BACKGROUND: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities. OBJECTIVE: To estimate the length of the incubation period of COVID-19 a…
The use of mobile phone data to inform analysis of Covid-19 pandemic epidemiology
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of the use of mobile phone data in outbreak response. Mobile phone data have been proposed to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of spatiotemporal spread, and to support contact tracing efforts. While these data may be an important part of COVID-19 response, their use must be considered alongside a careful underst…
No prominent works on this page.
The Incubation Period of Coronavirus Disease 2019 (Covid-19) From Publicly Reported Confirmed Cases
BACKGROUND: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities. OBJECTIVE: To estimate the length of the incubation period of COVID-19 a…
The use of mobile phone data to inform analysis of Covid-19 pandemic epidemiology
The ongoing coronavirus disease 2019 (COVID-19) pandemic has heightened discussion of the use of mobile phone data in outbreak response. Mobile phone data have been proposed to monitor effectiveness of non-pharmaceutical interventions, to assess potential drivers of spatiotemporal spread, and to support contact tracing efforts. While these data may be an important part of COVID-19 response, their use must be considered alongside a careful underst…
Plasmodium falciparum importation does not sustain malaria transmission in a semi-arid region of Kenya
Human movement impacts the spread and transmission of infectious diseases. Recently, a large reservoir of Plasmodium falciparum malaria was identified in a semi-arid region of northwestern Kenya historically considered unsuitable for malaria transmission. Understanding the sources and patterns of transmission attributable to human movement would aid in designing and targeting interventions to decrease the unexpectedly high malaria burden in the r…
Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya
While many studies have characterized mobility patterns and disease dynamics of settled populations, few have focused on more mobile populations. Highly mobile groups are often at higher disease risk due to their regular movement that may increase the variability of their environments, reduce their access to health care, and limit the number of intervention strategies suitable for their lifestyles. Quantifying the movements and their associated d…
Medicine (4 works) · COVID-19 epidemiological studies (3 works) · Biology (2 works) · Computer Science (2 works) · Coronavirus disease 2019 (COVID-19) (2 works) · Disease (2 works) · Environmental health (2 works) · Epidemiology (2 works) · Geography (2 works) · Infectious disease (medical specialty) (2 works)