Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting

• Published in: Nature communications 2018-06, Vol.9 (1), p.2476-8, Article 2476
• Main Authors: Routledge, Isobel, Chevéz, José Eduardo Romero, Cucunubá, Zulma M., Rodriguez, Manuel Gomez, Guinovart, Caterina, Gustafson, Kyle B., Schneider, Kammerle, Walker, Patrick G.T., Ghani, Azra C., Bhatt, Samir
• Format: Article
• Language: English
• Subjects: 631/114; 631/326/41/1470; 692/699/255; 692/699/255/1629; Basic Reproduction Number; El Salvador - epidemiology; Endemic Diseases - prevention & control; Epidemiological Monitoring; Humanities and Social Sciences; Humans; Importation; Incidence; Likelihood Functions; Malaria; Malaria - epidemiology; Malaria - prevention & control; Malaria - transmission; Malaria, Falciparum - epidemiology; Malaria, Falciparum - prevention & control; Malaria, Falciparum - transmission; Malaria, Vivax - epidemiology; Malaria, Vivax - prevention & control; Malaria, Vivax - transmission; multidisciplinary; Reproduction; Risk Factors; Science; Science (multidisciplinary); Time Factors; Vector-borne diseases
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-018-04577-y

In 2016 the World Health Organization identified 21 countries that could eliminate malaria by 2020. Monitoring progress towards this goal requires tracking ongoing transmission. Here we develop methods that estimate individual reproduction numbers and their variation through time and space. Individual reproduction numbers, R c , describe the state of transmission at a point in time and differ from mean reproduction numbers, which are averages of the number of people infected by a typical case. We assess elimination progress in El Salvador using data for confirmed cases of malaria from 2010 to 2016. Our results demonstrate that whilst the average number of secondary malaria cases was below one (0.61, 95% CI 0.55–0.65), individual reproduction numbers often exceeded one. We estimate a decline in R c between 2010 and 2016. However we also show that if importation is maintained at the same rate, the country may not achieve malaria elimination by 2020. Twenty one countries have been identified for malaria elimination by 2020 and their progress needs to be constantly evaluated. Here, the authors present a method that estimates individual reproduction numbers and their variation through time and space and use it to monitor elimination success in El Salvador between 2010 and 2016.