Table 1 Estimating mutant frequencies using different methods: validation using a test dataset from Tanzania39. Frequencies of the 540E mutation are estimated in 24 areas in 2 different years.

From: Mapping sulphadoxine-pyrimethamine-resistant Plasmodium falciparum malaria in infected humans and in parasite populations in Africa

Method

Data required

Assumptions

Mean squared error

Reference for Method

Mixed infections

Mean population MOI

Slide prevalence

Location

Assumption about detection of parasite clones

Other

5B

  

Imperfect MOI-dependent

 

0.0031

This paper extended from32

5C

  

Imperfect MOI-independent

 

0.0037

This paper

7A

  

100%

mean MOI varied during fitting

0.0061

This paper extended from31

5A

  

100%

 

0.0062

This paper extended from31

6A

  

100%

Assume negative binomial MOI distribution

0.0071

This paper extended from31

3A

  

100%

 

0.0071

31

4A

 

 

100%

 

0.0083

This paper extended from31

8A

   

100%

 

0.0140

This paper extended from31

  1. We compare frequencies estimated from the full dataset with information on MOI and resistance markers for each individual (Method 2, see Methods) with frequencies estimated from partial summary data using different methods. We show mean squared error to quantify the difference between the two sets of estimates in each comparison. The methods are ordered by increasing mean squared error; lowest indicates more similar estimates. The column ‘mixed infections’ indicates that data on the proportion of mixed wild type-resistance infections was used to estimate frequencies. ‘Slide prevalence’ indicates that mean MOI was estimated using the relationship in Fig. 4. ‘Location’ indicates that longitude and latitude of the survey location were used to obtain estimates of slide-prevalence from the Malaria Atlas Project, in order to estimate mean MOI using Fig. 445. Where imperfect detection of parasite clones was assumed, this was included when fitting to both the full and partial datasets (letters A to C after the Method number denote assumption about detection; see Methods. For example, in the first row, method 5B is compared to method 2B, in the 2nd row method 5C is compared to method 2C etc).