Vector-borne disease risk indexes in spatially structured populations.
There are economic and physical limitations when applying prevention and control strategies for urban vector borne diseases. Consequently, there are increasing concerns and interest in designing efficient strategies and regulations that health agencies can follow in order to reduce the imminent impa...
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ftdoajarticles:oai:doaj.org/article:0a7bbbd35dcd48caad3c61374fb4520b 2023-05-15T15:15:35+02:00 Vector-borne disease risk indexes in spatially structured populations. Jorge Velázquez-Castro Andrés Anzo-Hernández Beatriz Bonilla-Capilla Moisés Soto-Bajo Andrés Fraguela-Collar 2018-02-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0006234 https://doaj.org/article/0a7bbbd35dcd48caad3c61374fb4520b EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC5825167?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0006234 https://doaj.org/article/0a7bbbd35dcd48caad3c61374fb4520b PLoS Neglected Tropical Diseases, Vol 12, Iss 2, p e0006234 (2018) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2018 ftdoajarticles https://doi.org/10.1371/journal.pntd.0006234 2022-12-31T01:39:01Z There are economic and physical limitations when applying prevention and control strategies for urban vector borne diseases. Consequently, there are increasing concerns and interest in designing efficient strategies and regulations that health agencies can follow in order to reduce the imminent impact of viruses like Dengue, Zika and Chikungunya. That includes fumigation, abatization, reducing the hatcheries, picking up trash, information campaigns. A basic question that arise when designing control strategies is about which and where these ones should focus. In other words, one would like to know whether preventing the contagion or decrease vector population, and in which area of the city, is more efficient. In this work, we propose risk indexes based on the idea of secondary cases from patch to patch. Thus, they take into account human mobility and indicate which patch has more chance to be a corridor for the spread of the disease and which is more vulnerable, i.e. more likely to have cases?. They can also indicate the neighborhood where hatchery control will reduce more the number of potential cases. In order to illustrate the usefulness of these indexes, we run a set of numerical simulations in a mathematical model that takes into account the urban mobility and the differences in population density among the areas of a city. If we label by i a particular neighborhood, the transmission risk index (TRi) measures the potential secondary cases caused by a host in that neighborhood. The vector transmission risk index (VTRi) measures the potential secondary cases caused by a vector. Finally, the vulnerability risk index (VRi) measures the potential secondary cases in the neighborhood. Transmission indexes can be used to give geographical priority to some neighborhoods when applying prevention and control measures. On the other hand, the vulnerability index can be useful to implement monitoring campaigns or public health investment. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 12 2 e0006234 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
spellingShingle |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Jorge Velázquez-Castro Andrés Anzo-Hernández Beatriz Bonilla-Capilla Moisés Soto-Bajo Andrés Fraguela-Collar Vector-borne disease risk indexes in spatially structured populations. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
There are economic and physical limitations when applying prevention and control strategies for urban vector borne diseases. Consequently, there are increasing concerns and interest in designing efficient strategies and regulations that health agencies can follow in order to reduce the imminent impact of viruses like Dengue, Zika and Chikungunya. That includes fumigation, abatization, reducing the hatcheries, picking up trash, information campaigns. A basic question that arise when designing control strategies is about which and where these ones should focus. In other words, one would like to know whether preventing the contagion or decrease vector population, and in which area of the city, is more efficient. In this work, we propose risk indexes based on the idea of secondary cases from patch to patch. Thus, they take into account human mobility and indicate which patch has more chance to be a corridor for the spread of the disease and which is more vulnerable, i.e. more likely to have cases?. They can also indicate the neighborhood where hatchery control will reduce more the number of potential cases. In order to illustrate the usefulness of these indexes, we run a set of numerical simulations in a mathematical model that takes into account the urban mobility and the differences in population density among the areas of a city. If we label by i a particular neighborhood, the transmission risk index (TRi) measures the potential secondary cases caused by a host in that neighborhood. The vector transmission risk index (VTRi) measures the potential secondary cases caused by a vector. Finally, the vulnerability risk index (VRi) measures the potential secondary cases in the neighborhood. Transmission indexes can be used to give geographical priority to some neighborhoods when applying prevention and control measures. On the other hand, the vulnerability index can be useful to implement monitoring campaigns or public health investment. |
format |
Article in Journal/Newspaper |
author |
Jorge Velázquez-Castro Andrés Anzo-Hernández Beatriz Bonilla-Capilla Moisés Soto-Bajo Andrés Fraguela-Collar |
author_facet |
Jorge Velázquez-Castro Andrés Anzo-Hernández Beatriz Bonilla-Capilla Moisés Soto-Bajo Andrés Fraguela-Collar |
author_sort |
Jorge Velázquez-Castro |
title |
Vector-borne disease risk indexes in spatially structured populations. |
title_short |
Vector-borne disease risk indexes in spatially structured populations. |
title_full |
Vector-borne disease risk indexes in spatially structured populations. |
title_fullStr |
Vector-borne disease risk indexes in spatially structured populations. |
title_full_unstemmed |
Vector-borne disease risk indexes in spatially structured populations. |
title_sort |
vector-borne disease risk indexes in spatially structured populations. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2018 |
url |
https://doi.org/10.1371/journal.pntd.0006234 https://doaj.org/article/0a7bbbd35dcd48caad3c61374fb4520b |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 12, Iss 2, p e0006234 (2018) |
op_relation |
http://europepmc.org/articles/PMC5825167?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0006234 https://doaj.org/article/0a7bbbd35dcd48caad3c61374fb4520b |
op_doi |
https://doi.org/10.1371/journal.pntd.0006234 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
12 |
container_issue |
2 |
container_start_page |
e0006234 |
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1766345957940658176 |