In the present era of information, data has revealed itself to be more valuable to
organizations than ever before. By applying machine learning and deep learning …

We propose a hybrid machine learning algorithm (ie, P 2 CA− PSO− ANN) to model malaria
outbreak in three districts (Barmer, Bikaner, and Jodhpur) of Rajasthan in the Western India …

Historically, Plasmodium vivax malaria has been one of the most highly endemic parasitic
diseases in the Korean Peninsula. Until the 1970s, vivax malaria was rarely directly lethal …

We depicted the epidemiological characteristics of infectious diarrhoea in Jiangsu Province,
China. Generalized additive models were employed to evaluate the age-specific effects of …

Background Household surveys are important tools for monitoring the malaria disease
burden and measuring impact of malaria control interventions with parasite prevalence as …

Abstract Background Genetic diversity in Plasmodium falciparum (P. falciparum) parasites is
a major hurdle to the control of malaria. This study monitored changes in the genetic …

Tsetse flies, the vectors of trypanosomiasis, represent a threat to public health and economy
in sub‐Saharan Africa. Despite these concerns, information on temporal and spatial …

Background Mozambique was recently ranked fifth in the African continent for the number of
cases of malaria. In Chimoio municipality cases of malaria are increasing annually, contrary …

Malaria is a major public health problem in tropical and subtropical countries of the World.
During the year 1999, Visakhapatnam district of Andhra Pradesh, India experienced a major …

This study investigated the influence of climate factors on malaria incidence in the
Sundargarh district, Odisha, India. The WEKA machine learning tool was used with two …