中文字幕网伦射乱中文-超清中文乱码字幕在线观看-亚洲v国产v欧美v久久久久久-久久性网-手机在线成人av-成人六区-国产人与zoxxxx另类一一-青青草国产久久精品-蜜桃av久久久一区二区三区麻豆-成人av一区二区免费播放-在线视频麻豆-www爱爱-成人免费看片视频-性欧美老肥妇喷水-五月99久久婷婷国产综合亚洲-亚洲最色-各种含道具高h调教1v1男男-91丨porny丨国产-国产精品无码专区在线观看不卡-大香伊人

African researchers raise malaria awareness by translations to local dialects

Source: Xinhua| 2018-11-24 01:24:41|Editor: yan
Video PlayerClose

SHARM EL-SHEIKH, Egypt, Nov. 23 (Xinhua) -- Malaria researchers in Uganda, Mali and Burkina Faso have embarked on translating their research process into local dialects to engage communities where research on gene drive is based, said a researcher during an ongoing UN biodiversity conference on Friday.

"We have developed a glossary to translate the terminologies that researchers use into local dialects to hasten engagement with local communities one on one," Ugandan researcher Elinor Chemonges said on the sidelines of the UN Biodiversity Conference 2018 held in Egypt's Red Sea resort city of Sharm El-Sheikh.

She pointed out that the initiative aims at ensuring that the beneficiary communities understand the activities undertaken during researches on malaria and are able to raise issues and communicate with the researchers.

Malaria kills about 435,000 people every year, mostly from Africa, while 219 million people were infected globally in 2017, according to a recent report from the World Health Organization.

"We realized that most of the time communities are late in their involvement in research activities that take place within their localities and we decided to change the whole thing and start engaging them early," the researcher said.

Chemonges noted that gene drive research is expected to help address important public health challenges, particularly when target communities are involved from early stages.

The UN Biodiversity Conference 2018 is held from Nov. 13 to 29 in Sharm El-Sheikh with the participation of representatives from about 196 states, under the slogan of "investing in biodiversity for people and plan."

TOP STORIES
EDITOR’S CHOICE
MOST VIEWED
EXPLORE XINHUANET
010020070750000000000000011105521376274321