Table 2.
Characteristics of publications – Observational and surveillance studies (N = 12)
| First author, year | Infection | Population | Model | Main outcome | Design outcome(s) | Remarks | ||
|---|---|---|---|---|---|---|---|---|
| Epidemiological category | Name | Typea | Structured/Networkb | |||||
| Graat, 2001 [16] | Animal | Bovine herpesvirus 1 | Cattle farming | Compartmental - deterministic | Yes/No | Reproduction ratio between herds | - Frequency - Sample size |
− |
| Michael, 2006 [17] | Human, vector-borne | Lymphatic filariasis | Not described | Compartmental – deterministicc | No/No | Prevalence of microfilaraemia | - Frequency - Sample size - Monitoring - Power |
− |
| Savill, 2008 [18] | Animal | Avian influenza | Commercial poultry flocks (The Netherlands) | IBM | Yes/No | False alarm rate | - Monitoring | − |
| Arnold, 2013 [19] | Animal | Avian influenza | Poultry farming | IBM | Yes/Yes | Size and duration of an outbreak | - Sample size - Whom |
Spatial model |
| Smieszek, 2013 [20] | Human, respiratory |
Influenza | An US high school (teachers, students, staff) | IBM | Yes/Yes | Performance of collocation ranking | - Sample size - Whom |
− |
| Ciccolini, 2014 [21] | Human, nosocomial | Nosocomial pathogens | Acute hospitals (England, The Netherlands) | Compartmental - stochastic | Yes/Yes | Time to detection and number of infected hospitals | - Sample size - Whom |
− |
| Gonzales, 2014 [22] | Animal | Avian influenza | Layer chickens (The Netherlands) | Compartmental - deterministic | Yes/No | Required sample size and frequency for early detection | - Frequency - Number - Sample size |
− |
| Leslie, 2014 [23] | Animal | Classical swine fever | Wild pig, Kimberley region (Australia) | IBMc | Yes/Yes | Epidemic length, number of days to complete the surveillance, number of cells sampled, number of groups to be sampled | - Sample size - Whom |
A within-herd model combined with a spatial between-herd model |
| Mizumoto, 2014 [24] | Human, vector borne | Dengue virus | Not described | Compartmental - deterministic | Yes/No | Relative risk of severe dengue and ‘dengue hemorrhagic fever’/ ‘dengue shock syndrome’ during secondary infection | - Timing of sampling | − |
| Pinsent, 2014 [25] | Animal | Avian influenza | Commercial poultry barns | Compartmental - deterministic | No/No | Estimates of basic reproduction number and time of virus introduction | - Frequency - Sample size |
− |
| van Bunnik, 2015 [26] | Human, nosocomial | Meticillin-resistant Staphylococcus aureus | Hospitals (Scotland) | Compartmental - stochastic | Yes/Yes | Time until first detection of new health-care associated infection | - Sample size - Whom |
Similar model as Ciccolini, 2012 |
| Vinh, 2015 [27] | Human, respiratory | Influenza | General population | Compartmental - deterministic | No/No | Statistical identifiability of antibody generation, antibody waning, and reinfection | - Frequency - Sample size - Power |
− |
amodel type: IBM – individual based model; b structured: population structure is reflected in model, network: network of contacts between individuals is explicitly modelled; c model type obtained from the original article