Automated Author Profile

Laman, Moses

Current S-Index

4.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

14.7%

Average FAIR Score per dataset

Total Citations

6

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data for: Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea

This is the complete data for the study entitled 'Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea'. The Excel spreadsheet contains tabs with self-explanatory labels. The complete data set can be found under the 'data' tab.

Authors

  • Karl, Stephan ;
  • Arndt, Leandra ;
  • Orbán, Ágnes ;
  • Ibam, Clemencia ;
  • Lufele, Elvin ;
  • Timinao, Lincoln ;
  • Lorry, Lina ;
  • Butykai, Ádám ;
  • Kaman, Peter ;
  • Molnar, Andrea Petra ;
  • Krohns, Stephan ;
  • Nate, Elma ;
  • Kucsera, István ;
  • Orosz, Erika ;
  • Brioni R. Moore ;
  • LEANNE ROBINSON ;
  • Laman, Moses ;
  • Kézsmárki, István
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.13078181January 2020

Data for: Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea

This is the complete data for the study entitled 'Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea'. The Excel spreadsheet contains tabs with self-explanatory labels. The complete data set can be found under the 'data' tab.

Authors

  • Karl, Stephan ;
  • Arndt, Leandra ;
  • Orbán, Ágnes ;
  • Ibam, Clemencia ;
  • Lufele, Elvin ;
  • Timinao, Lincoln ;
  • Lorry, Lina ;
  • Butykai, Ádám ;
  • Kaman, Peter ;
  • Molnar, Andrea Petra ;
  • Krohns, Stephan ;
  • Nate, Elma ;
  • Kucsera, István ;
  • Orosz, Erika ;
  • Brioni R. Moore ;
  • LEANNE ROBINSON ;
  • Laman, Moses ;
  • Kézsmárki, István
2 Citations0 Mentions13% FAIR1.3 Dataset Index
10.6084/m9.figshare.13078181.v1January 2020

MOESM1 of Differential impact of malaria control interventions on P. falciparum and P. vivax infections in young Papua New Guinean children

Additional file 1: Table S1. Bivariate associations between risk factors and the prevalence, molFOB and clinical incidence. Estimates of bivariate associations calculated via generalised estimating equation (GEE) models for prevalence and molecular force of blood-stage (molFOB) infections and negative binomial regression model used for clinical malaria episodes. Recent antimalarial use was not tested in the model for clinical malaria episodes due to aggregated clinical data. aAge in years at enrolment was used for clinical malaria incidence while at the start of interval was used for molFOB. bComparison group; For multilevel variables, comparison group estimates are presented as odds or incidence rate. PCR: Polymerase chain reaction assay; LM: light microscopy; OR: odds ratio; CI95: 95% confidence interval; IRR: incidence rate ratio.

Authors

  • Ome-Kaius, Maria ;
  • Kattenberg, Johanna ;
  • Zaloumis, Sophie ;
  • Siba, Matthew ;
  • Benson Kiniboro ;
  • Shadrach Jally ;
  • Razook, Zahra ;
  • Mantila, Daisy ;
  • Sui, Desmond ;
  • Ginny, Jason ;
  • Rosanas-Urgell, Anna ;
  • Karl, Stephan ;
  • Obadia, Thomas ;
  • Barry, Alyssa ;
  • Rogerson, Stephen ;
  • Laman, Moses ;
  • Tisch, Daniel ;
  • Felger, Ingrid ;
  • Kazura, James ;
  • Mueller, Ivo ;
  • Robinson, Leanne
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.11341004January 2019

MOESM1 of Differential impact of malaria control interventions on P. falciparum and P. vivax infections in young Papua New Guinean children

Additional file 1: Table S1. Bivariate associations between risk factors and the prevalence, molFOB and clinical incidence. Estimates of bivariate associations calculated via generalised estimating equation (GEE) models for prevalence and molecular force of blood-stage (molFOB) infections and negative binomial regression model used for clinical malaria episodes. Recent antimalarial use was not tested in the model for clinical malaria episodes due to aggregated clinical data. aAge in years at enrolment was used for clinical malaria incidence while at the start of interval was used for molFOB. bComparison group; For multilevel variables, comparison group estimates are presented as odds or incidence rate. PCR: Polymerase chain reaction assay; LM: light microscopy; OR: odds ratio; CI95: 95% confidence interval; IRR: incidence rate ratio.

Authors

  • Ome-Kaius, Maria ;
  • Kattenberg, Johanna ;
  • Zaloumis, Sophie ;
  • Siba, Matthew ;
  • Benson Kiniboro ;
  • Shadrach Jally ;
  • Razook, Zahra ;
  • Mantila, Daisy ;
  • Sui, Desmond ;
  • Ginny, Jason ;
  • Rosanas-Urgell, Anna ;
  • Karl, Stephan ;
  • Obadia, Thomas ;
  • Barry, Alyssa ;
  • Rogerson, Stephen ;
  • Laman, Moses ;
  • Tisch, Daniel ;
  • Felger, Ingrid ;
  • Kazura, James ;
  • Mueller, Ivo ;
  • Robinson, Leanne
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.11341004.v1January 2019

MOESM2 of Differential impact of malaria control interventions on P. falciparum and P. vivax infections in young Papua New Guinean children

Additional file 2: Table S2. Key predictors of the prevalence of infections due to P. falciparum and P. vivax as diagnosed by light microscopy. Multivariate generalised estimating equation (GEE) model-based estimates of the risk of infection detected at each monthly active detection of infection visits via backward selection of significant risk factors. aOverall significance level for the variable estimated using wald chi-squared test. AOR: multivariate adjusted odds ratio. CI95: 95% confidence interval; bExcluding febrile illness at the time of visit; Data for observed positive are %.

Authors

  • Ome-Kaius, Maria ;
  • Kattenberg, Johanna ;
  • Zaloumis, Sophie ;
  • Siba, Matthew ;
  • Benson Kiniboro ;
  • Shadrach Jally ;
  • Razook, Zahra ;
  • Mantila, Daisy ;
  • Sui, Desmond ;
  • Ginny, Jason ;
  • Rosanas-Urgell, Anna ;
  • Karl, Stephan ;
  • Obadia, Thomas ;
  • Barry, Alyssa ;
  • Rogerson, Stephen ;
  • Laman, Moses ;
  • Tisch, Daniel ;
  • Felger, Ingrid ;
  • Kazura, James ;
  • Mueller, Ivo ;
  • Robinson, Leanne
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.11341010January 2019

MOESM2 of Differential impact of malaria control interventions on P. falciparum and P. vivax infections in young Papua New Guinean children

Additional file 2: Table S2. Key predictors of the prevalence of infections due to P. falciparum and P. vivax as diagnosed by light microscopy. Multivariate generalised estimating equation (GEE) model-based estimates of the risk of infection detected at each monthly active detection of infection visits via backward selection of significant risk factors. aOverall significance level for the variable estimated using wald chi-squared test. AOR: multivariate adjusted odds ratio. CI95: 95% confidence interval; bExcluding febrile illness at the time of visit; Data for observed positive are %.

Authors

  • Ome-Kaius, Maria ;
  • Kattenberg, Johanna ;
  • Zaloumis, Sophie ;
  • Siba, Matthew ;
  • Benson Kiniboro ;
  • Shadrach Jally ;
  • Razook, Zahra ;
  • Mantila, Daisy ;
  • Sui, Desmond ;
  • Ginny, Jason ;
  • Rosanas-Urgell, Anna ;
  • Karl, Stephan ;
  • Obadia, Thomas ;
  • Barry, Alyssa ;
  • Rogerson, Stephen ;
  • Laman, Moses ;
  • Tisch, Daniel ;
  • Felger, Ingrid ;
  • Kazura, James ;
  • Mueller, Ivo ;
  • Robinson, Leanne
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.11341010.v1January 2019