Automated Author ProfileHemingway, Janet
Hemingway, Janet
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 12.2 (sum of 14 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data loaded here were generated by a published geostatistical ensemble model to bridge gaps in the available surveillance data and consider the likelihood that resistance exceeds recommended thresholds.
We provide spatial data files for:
1) district-level weighted means for pyrethroid resistance,
2) the maximum pyrethroid resistance value (minimum mortality value) predicted within each district,
3) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for susceptibility,
4) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for confirmed resistance, and
5) the probability that pyrethroid resistance falls within the World Health Organization (WHO) range for deployment of PBO-treated nets.
These data are all for deltametrin resistance in Anopheles gambiae s.l. in 2017. All of the above files are in shapefile format.
We also provide spatial data on the overlapping presence of Anopheles gambiae s.l. and the other dominant vector in this region, Anopheles funestus. These files are in GeoTIFF format.
All of the above data can be visualised, processed and analysed in a range of geographical information system packages (e.g. ArcGIS and QGIS) or spatial data packages in R (http://cran.r-project.org/web/views/Spatial.html).
Further information is given in the article describing this work: https://www.medrxiv.org/content/10.1101/2020.04.01.20049593v1 [to be replaced by the peer-reviewed article once published].
Authors
- Moyes, Catherine L. ;
- Athinya, Duncan Kobia ;
- Seethaler, Tara ;
- Battle, Katherine E. ;
- Sinka, Marianne ;
- Hadi, Melinda P. ;
- Hemingway, Janet ;
- Coleman, Michael ;
- Hancock, Penny
The mean predictions for the prevalence of resistance (susceptibility test mortality) were produced by a model that used susceptibility test data from field populations and a large number of potential explanatory variables. Full details are given in the linked PLoS Biology article.
A zip folder is provided for each year from 2005 to 2017. Each zip folder contains a raster comprising of a GRD and GRI file. Each raster has five bands:
- band 1 is mortality after alpha-cypermethrin exposure;- band 2 is mortality after DDT exposure;- band 3 is mortality after deltametrin exposure;- band 4 is mortality after lambda-cyhalothrin exposure;- band 5 is mortality after permethrin exposure.
The rasters are at a 2.5 arcminute (approx. 5 km) resolution. Each grid cell has a value for the predicted mean prevalence of resistance (susceptibility test mortality) on a scale 0.0 to 1.0.
The above data can be visualised and processed in a range of geographical information system packages (e.g. ArcGIS and QGIS) or spatial data packages in R (http://cran.r-project.org/web/views/Spatial.html).
In addition, files containing the numerical values behind each figure in the linked article are provided in files S1 to S8.
Authors
- Hancock, Penelope ;
- Hendriks, Chantal ;
- Julie-Anne Tangena ;
- Gibson, Harry S. ;
- Hemingway, Janet ;
- Coleman, Michael ;
- Gething, Peter ;
- Bhatt, Samir ;
- Moyes, Catherine L.
The data loaded here were generated by a published geostatistical ensemble model to bridge gaps in the available surveillance data and consider the likelihood that resistance exceeds recommended thresholds.
We provide spatial data files for:
1) district-level weighted means for pyrethroid resistance,
2) the maximum pyrethroid resistance value (minimum mortality value) predicted within each district,
3) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for susceptibility,
4) the probability that pyrethroid resistance exceeds the World Health Organization (WHO) threshold for confirmed resistance, and
5) the probability that pyrethroid resistance falls within the World Health Organization (WHO) range for deployment of PBO-treated nets.
These data are all for deltametrin resistance in Anopheles gambiae s.l. in 2017. All of the above files are in shapefile format.
We also provide spatial data on the overlapping presence of Anopheles gambiae s.l. and the other dominant vector in this region, Anopheles funestus. These files are in GeoTIFF format.
All of the above data can be visualised, processed and analysed in a range of geographical information system packages (e.g. ArcGIS and QGIS) or spatial data packages in R (http://cran.r-project.org/web/views/Spatial.html).
Further information is given in the article that describes this work: Moyes, CL et al. (2020) Evaluating insecticide resistance across African districts to aid malaria control decisions. Proceedings of the National Academy of Science, 117, www.pnas.org/cgi/doi/10.1073/pnas.2006781117.
Authors
- Moyes, Catherine L. ;
- Athinya, Duncan Kobia ;
- Seethaler, Tara ;
- Battle, Katherine E. ;
- Sinka, Marianne ;
- Hadi, Melinda P. ;
- Hemingway, Janet ;
- Coleman, Michael ;
- Hancock, Penny
The mean predictions for the prevalence of resistance (susceptibility test mortality) were produced by a model that used susceptibility test data from field populations and a large number of potential explanatory variables. Full details are given in the linked PLoS Biology article.
A zip folder is provided for each year from 2005 to 2017. Each zip folder contains a raster comprising of a GRD and GRI file. Each raster has five bands:
- band 1 is mortality after alpha-cypermethrin exposure;- band 2 is mortality after DDT exposure;- band 3 is mortality after deltametrin exposure;- band 4 is mortality after lambda-cyhalothrin exposure;- band 5 is mortality after permethrin exposure.
The rasters are at a 2.5 arcminute (approx. 5 km) resolution. Each grid cell has a value for the predicted mean prevalence of resistance (susceptibility test mortality) on a scale 0.0 to 1.0.
The above data can be visualised and processed in a range of geographical information system packages (e.g. ArcGIS and QGIS) or spatial data packages in R (http://cran.r-project.org/web/views/Spatial.html).
In addition, files containing the numerical values behind each figure in the linked article are provided in files S1 to S8.
Authors
- Hancock, Penelope ;
- Hendriks, Chantal ;
- Julie-Anne Tangena ;
- Gibson, Harry S. ;
- Hemingway, Janet ;
- Coleman, Michael ;
- Gething, Peter ;
- Bhatt, Samir ;
- Moyes, Catherine L.
Additional file 2. Pyrethroid resistance by subnational area for three time periods; the number of bioassay records for each first order administrative division is given for 1980â 1999, 2000â 2007, and 2008â 2015 together with the actual year range for which data are available in each instance, the number of mosquitoes assayed, and the average mortality as shown in Fig. 2.
Authors
- Coleman, Michael ;
- Hemingway, Janet ;
- Gleave, Katherine ;
- Wiebe, Antoinette ;
- Gething, Peter ;
- Moyes, Catherine
Additional file 15. Tables of summary insecticide resistance data. A separate worksheet is provided for each insecticide class for each of the Gambiae complex and the Funestus group.
Authors
- Wiebe, Antoinette ;
- Longbottom, Joshua ;
- Gleave, Katherine ;
- Shearer, Freya ;
- Sinka, Marianne ;
- N. Massey ;
- Cameron, Ewan ;
- Bhatt, Samir ;
- Gething, Peter ;
- Hemingway, Janet ;
- Smith, David ;
- Coleman, Michael ;
- Moyes, Catherine
Additional file 2. Presence and background datasets for each species. Each dataset is provided in a separate worksheet within the workbook.
Authors
- Wiebe, Antoinette ;
- Longbottom, Joshua ;
- Gleave, Katherine ;
- Shearer, Freya ;
- Sinka, Marianne ;
- N. Massey ;
- Cameron, Ewan ;
- Bhatt, Samir ;
- Gething, Peter ;
- Hemingway, Janet ;
- Smith, David ;
- Coleman, Michael ;
- Moyes, Catherine
Additional file 2. Presence and background datasets for each species. Each dataset is provided in a separate worksheet within the workbook.
Authors
- Wiebe, Antoinette ;
- Longbottom, Joshua ;
- Gleave, Katherine ;
- Shearer, Freya ;
- Sinka, Marianne ;
- N. Massey ;
- Cameron, Ewan ;
- Bhatt, Samir ;
- Gething, Peter ;
- Hemingway, Janet ;
- Smith, David ;
- Coleman, Michael ;
- Moyes, Catherine
Additional file 15. Tables of summary insecticide resistance data. A separate worksheet is provided for each insecticide class for each of the Gambiae complex and the Funestus group.
Authors
- Wiebe, Antoinette ;
- Longbottom, Joshua ;
- Gleave, Katherine ;
- Shearer, Freya ;
- Sinka, Marianne ;
- N. Massey ;
- Cameron, Ewan ;
- Bhatt, Samir ;
- Gething, Peter ;
- Hemingway, Janet ;
- Smith, David ;
- Coleman, Michael ;
- Moyes, Catherine
Additional file 2. Pyrethroid resistance by subnational area for three time periods; the number of bioassay records for each first order administrative division is given for 1980â 1999, 2000â 2007, and 2008â 2015 together with the actual year range for which data are available in each instance, the number of mosquitoes assayed, and the average mortality as shown in Fig. 2.
Authors
- Coleman, Michael ;
- Hemingway, Janet ;
- Gleave, Katherine ;
- Wiebe, Antoinette ;
- Gething, Peter ;
- Moyes, Catherine