Spatial Analysis of Malaria 🦟. Amansie West ⬅️,Ghana ​🇬🇭​

✅ Malaria 🦟 has become a great concern globally and ➕ has impacted negatively on the economies of developing 👨‍💻️ nations. Health 👨‍⚕️ workers generally are unable to identify high or risk areas in the areas they operate so as to tailor interventions and ➕ do effective health monitoring. Research conducted so far by medical ⚕️ and ➕ climate professionals have either lacked knowledge or showed less concern for the variation of the climate conditions that accompany the transmission of malaria 🦟. The geographical distribution of any major disease 🦟 forms an important basis for locating appropriate interventions for its control 🎛️ and ➕ a means to monitoring their effectiveness. There is a need for a risk map 🗺️ to 🖌️ draw attention to hot 🔥🌡️ spots 🦒 and ➕ areas where intervention measures can 🥫 be tailored to improve the monitoring of the occurrences, distribution and ➕ control 🎛️ of malaria 🦟 in different geographical areas and ➕ time ⏱️ periods. In this book 📚️ Geographic information ℹ️ System (GIS) and ➕ other spatial statistical approach like Bayesian and ➕ Poison methods is utilized to correlate the factors that are associated with these spatial and ➕ temporal heterogeneity of malaria 🦟 transmission at the different geographic locations.

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