Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission DOI Creative Commons

Ruiwen Xiong,

Xiaolong Li

Geospatial health, Journal Year: 2023, Volume and Issue: 18(2)

Published: July 20, 2023

Environmental factors are known to affect outbreak patterns of infectious disease, but their impacts on the spread COVID-19 along with evolution this relationship over time intervals and in different regions unclear. This study utilized 3 years data cases continental United States from 2020 2022 corresponding weather data. We used regression analysis investigate mainland estimate changes these space time. Temperature exhibited a significant moderately strong negative correlation for most US while relative humidity precipitation experienced mixed relationships. By regressing temperature spreading rate waves, we found change can explain 20% spatial-temporal variation spreading, response between rate. The pandemic during 2020-2022 was characterized by seven transmission rates wave peaks concentrated periods. When repeating waves periods nine climate zones, evolve space, possibly due virus mutation, population susceptibility, social behavior, control measures. became weaker 6 9 zones beginning epidemic end 2022, suggesting that has increasingly adapted wider conditions.

Language: Английский

SARS-CoV-2 variant transition dynamics are associated with vaccination rates, number of co-circulating variants, and convalescent immunity DOI Creative Commons
Lauren J. Beesley, Kelly R. Moran, Kshitij Wagh

et al.

EBioMedicine, Journal Year: 2023, Volume and Issue: 91, P. 104534 - 104534

Published: March 31, 2023

Language: Английский

Citations

27
Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach DOI Creative Commons
Hongru Du, Ensheng Dong, Hamada S. Badr

et al.

EBioMedicine, Journal Year: 2023, Volume and Issue: 89, P. 104482 - 104482

Published: Feb. 22, 2023

Language: Английский

Citations

22
Genomic epidemiology of SARS-CoV-2 in Russia reveals recurring cross-border transmission throughout 2020 DOI Creative Commons
Alina D. Matsvay, Galya V. Klink, Ksenia R. Safina

et al.

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(5), P. e0285664 - e0285664

Published: May 16, 2023

In 2020, SARS-CoV-2 has spread rapidly across the globe, with most nations failing to prevent or substantially delay its introduction. While many countries have imposed some limitations on trans-border passenger traffic, effect of these measures global COVID-19 strains remains unclear. Here, we report an analysis 3206 whole-genome sequences samples from 78 regions Russia covering period before variants concern (between March and November 2020). We describe recurring imports multiple into throughout this period, giving rise 457 uniquely Russian transmission lineages, as well repeated cross-border transmissions local circulating out Russia. phylogenetically inferred rate was somewhat reduced during stringent border closure, it still remained high, that each led detectable within country. These results indicate partial closure had little variants, which helps explain rapid newly arising pandemic.

Language: Английский

Citations

12
Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries DOI Creative Commons
Lauren J. Beesley, Paolo Patelli, Kimberly Kaufeld

et al.

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(1), P. e0279894 - e0279894

Published: Jan. 5, 2023

The COVID-19 pandemic has highlighted a need for better understanding of countries' vulnerability and resilience to not only pandemics but also disasters, climate change, other systemic shocks. A comprehensive characterization can inform efforts improve infrastructure guide disaster response in the future. In this paper, we propose data-driven framework studying incident disasters across multiple dimensions society. To illustrate methodology, leverage rich data landscape surrounding characterize observed several countries (USA, Brazil, India, Sweden, New Zealand, Israel) as measured by impacts variety social, economic, political domains. We assess how responses outcomes (i.e., resilience) are associated with pre-pandemic characteristics or vulnerabilities, including (1) prior risk adverse due population density age (2) systems place that may impact ability respond crisis, health economic capacity. Our work demonstrates importance viewing multi-dimensional way, where country's resources related differ dramatically political, social This highlights key gaps our current about data-driven, context-specific assessments

Language: Английский

Citations

7
Investigating neighborhood adaptability using mobility networks: a case study of the COVID-19 pandemic DOI Creative Commons

Hasan Alp Boz,

Mohsen Bahrami, Selim Balcısoy

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 12, 2024

Abstract What predicts a neighborhood’s adaptability to essential public health policies and shelter-in-place regulations that prevent the harmful spread of COVID-19? To answer this question, we present novel application human mobility patterns behavior in network setting. We analyze 2 years data (January 2019 December 2020) from New York City construct weekly networks between census block groups based on aggregated point-of-interest visit patterns. Our results indicate neighborhoods’ socioeconomic geographic characteristics play significant role predicting their active policies. simulation outcomes reveal that, alongside factors such as race, education, income, geographical attributes neighborhoods, access amenities satisfy community needs are equally important neighborhood These findings offer valuable insights can enhance urban planning strategies, thereby aiding pandemic mitigation efforts fostering increased areas face exogenous shocks like COVID-19 pandemic.

Language: Английский

Citations

2
Non-linear effects of meteorological factors on COVID-19: An analysis of 440 counties in the americas DOI Creative Commons
Hao Zhang, Jian Wang,

Zhong Liang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31160 - e31160

Published: May 1, 2024

In the last three years, COVID-19 has caused significant harm to both human health and economic stability. Analyzing causes mechanisms of theoretical practical implications for its prevention mitigation. The role meteorological factors in transmission is crucial, yet their relationship remains a subject intense debate.

Language: Английский

Citations

2
The epidemiology and impact of persistent Campylobacter infections on childhood growth among children 0–24 months of age in resource-limited settings DOI Creative Commons
Francesca Schiaffino, Josh M. Colston, Maribel Paredes Olórtegui

et al.

EClinicalMedicine, Journal Year: 2024, Volume and Issue: 76, P. 102841 - 102841

Published: Sept. 28, 2024

Language: Английский

Citations

2
Evolving Drivers of Brazilian SARS‐CoV‐2 Transmission: A Spatiotemporally Disaggregated Time Series Analysis of Meteorology, Policy, and Human Mobility DOI Creative Commons
Gaige Hunter Kerr, Hamada S. Badr, Alisson Flávio Barbieri

et al.

GeoHealth, Journal Year: 2023, Volume and Issue: 7(3)

Published: March 1, 2023

Abstract Brazil has been severely affected by the COVID‐19 pandemic. Temperature and humidity have purported as drivers of SARS‐CoV‐2 transmission, but no consensus reached in literature regarding relative roles meteorology, governmental policy, mobility on transmission Brazil. We compiled data Brazil's 26 states one federal district from June 2020 to August 2021. Associations between these variables time‐varying reproductive number ( R t ) were examined using generalized additive models fit entire 15‐month period several shorter, 3‐month periods. Accumulated local effects variable importance metrics calculated analyze relationship input . found that is strongly influenced unmeasured sources between‐state heterogeneity near‐recent trajectory Increased temperature generally was associated with decreased increased specific transmission. However, impacts varied direction, magnitude, significance across our study period. This time variance could explain inconsistencies published date. While meteorology weakly modulates daily or seasonal weather variations alone will not stave off future surges cases Investigating how environmental factors disease control interventions may vary should be a deliberate consideration research

Language: Английский

Citations

6
Effects of hydrometeorological and other factors on SARS-CoV-2 reproduction number in three contiguous countries of tropical Andean South America: a spatiotemporally disaggregated time series analysis DOI Creative Commons
Josh M. Colston, Patrick Hinson, Nhat-Lan H. Nguyen

et al.

IJID Regions, Journal Year: 2022, Volume and Issue: 6, P. 29 - 41

Published: Nov. 20, 2022

The COVID-19 pandemic has caused societal disruption globally, and South America been hit harder than other lower-income regions. This study modeled the effects of six weather variables on district-level SARS-CoV-2 reproduction numbers (

Language: Английский

Citations

8
Preventable COVID-19 cases and deaths by alternative vaccination and non-pharmacological intervention policies in Brazil DOI Creative Commons
Samantha Rodrigues de Araújo, João Flávio de Freitas Almeida, Lásara Fabrícia Rodrigues

et al.

Revista Brasileira de Epidemiologia, Journal Year: 2023, Volume and Issue: 26

Published: Jan. 1, 2023

ABSTRACT Objective: This work aimed to estimate the avoidable COVID-19 cases and deaths with anticipation of vaccination, additional doses, effective non-pharmacological interventions in Brazil. Methods: We developed a susceptible-exposed-infectious-recovered-susceptible model based on epidemiological indicators morbidity mortality derived from data obtained Health Information System Ministry The number was estimated for different scenarios vaccination programs states Brazil (from March 8, 2020, June 5, 2022). Results: model-based showed that 40 days anticipation, vaccine higher level nonpharmacological would reduce delay pandemic peak. country have 17,121,749 fewer 391,647 Conclusion: results suggest if 80% Brazilian population had been vaccinated by May 2021, 59.83% avoided

Language: Английский

Citations

4